{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pandas Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['grayscale',\n",
       " 'seaborn-colorblind',\n",
       " 'seaborn-bright',\n",
       " 'seaborn-deep',\n",
       " 'seaborn-pastel',\n",
       " 'classic',\n",
       " 'seaborn-muted',\n",
       " 'seaborn-darkgrid',\n",
       " 'seaborn-white',\n",
       " 'seaborn-paper',\n",
       " 'seaborn-dark',\n",
       " 'seaborn-whitegrid',\n",
       " 'dark_background',\n",
       " 'seaborn-poster',\n",
       " 'ggplot',\n",
       " 'seaborn-ticks',\n",
       " 'seaborn-dark-palette',\n",
       " 'seaborn-notebook',\n",
       " 'bmh',\n",
       " 'seaborn-talk',\n",
       " 'fivethirtyeight',\n",
       " 'seaborn']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# see the pre-defined styles provided.\n",
    "plt.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# use the 'seaborn-colorblind' style\n",
    "plt.style.use('seaborn-colorblind')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DataFrame.plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>-1.085631</td>\n",
       "      <td>20.059291</td>\n",
       "      <td>-20.230904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-02</th>\n",
       "      <td>-0.088285</td>\n",
       "      <td>21.803332</td>\n",
       "      <td>-16.659325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>0.194693</td>\n",
       "      <td>20.835588</td>\n",
       "      <td>-17.055481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>-1.311601</td>\n",
       "      <td>21.255156</td>\n",
       "      <td>-17.093802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>-1.890202</td>\n",
       "      <td>21.462083</td>\n",
       "      <td>-19.518638</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A          B          C\n",
       "2017-01-01 -1.085631  20.059291 -20.230904\n",
       "2017-01-02 -0.088285  21.803332 -16.659325\n",
       "2017-01-03  0.194693  20.835588 -17.055481\n",
       "2017-01-04 -1.311601  21.255156 -17.093802\n",
       "2017-01-05 -1.890202  21.462083 -19.518638"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(123)\n",
    "\n",
    "df = pd.DataFrame({'A': np.random.randn(365).cumsum(0), \n",
    "                   'B': np.random.randn(365).cumsum(0) + 20,\n",
    "                   'C': np.random.randn(365).cumsum(0) - 20}, \n",
    "                  index=pd.date_range('1/1/2017', periods=365))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa455eb630>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot() # add a semi-colon to the end of the plotting call to suppress unwanted output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can select which plot we want to use by passing it into the 'kind' parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa4555d240>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot('A','B', kind = 'scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also choose the plot kind by using the `DataFrame.plot.kind` methods instead of providing the `kind` keyword argument.\n",
    "\n",
    "`kind` :\n",
    "- `'line'` : line plot (default)\n",
    "- `'bar'` : vertical bar plot\n",
    "- `'barh'` : horizontal bar plot\n",
    "- `'hist'` : histogram\n",
    "- `'box'` : boxplot\n",
    "- `'kde'` : Kernel Density Estimation plot\n",
    "- `'density'` : same as 'kde'\n",
    "- `'area'` : area plot\n",
    "- `'pie'` : pie plot\n",
    "- `'scatter'` : scatter plot\n",
    "- `'hexbin'` : hexbin plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa4539a6d8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a scatter plot of columns 'A' and 'C', with changing color (c) and size (s) based on column 'B'\n",
    "df.plot.scatter('A', 'C', c='B', s=df['B'], colormap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot.scatter('A', 'C', c='B', s=df['B'], colormap='viridis')\n",
    "ax.set_aspect('equal') # Set equal scaling for X and Y axis, i.e, distance between ticks should cover the same number of data points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa3fa2e588>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot.box()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa3f8869b0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot.hist(alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Kernel density estimation plots](https://en.wikipedia.org/wiki/Kernel_density_estimation) are useful for deriving a smooth continuous function from a given sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa3f7a6b70>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot.kde()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### pandas.tools.plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Iris flower data set](https://en.wikipedia.org/wiki/Iris_flower_data_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SepalLength</th>\n",
       "      <th>SepalWidth</th>\n",
       "      <th>PetalLength</th>\n",
       "      <th>PetalWidth</th>\n",
       "      <th>Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SepalLength  SepalWidth  PetalLength  PetalWidth         Name\n",
       "0          5.1         3.5          1.4         0.2  Iris-setosa\n",
       "1          4.9         3.0          1.4         0.2  Iris-setosa\n",
       "2          4.7         3.2          1.3         0.2  Iris-setosa\n",
       "3          4.6         3.1          1.5         0.2  Iris-setosa\n",
       "4          5.0         3.6          1.4         0.2  Iris-setosa"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = pd.read_csv('iris.csv')\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7ffa378af668>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa37812be0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa377cdfd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa3775e940>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7ffa3776ee48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa3776ecc0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa375faf28>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa375f6588>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7ffa375372e8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa3752fc50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa37486f60>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa373fca90>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7ffa373e9668>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa373a2940>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa3732cf98>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7ffa372c3588>]], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Diagonals are the usual histograms for each property.\n",
    "# The rest show trends of all properties with respect to the others.\n",
    "pd.tools.plotting.scatter_matrix(iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGA0ZW4AABPhSURBVGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYuB06kAEAAAAY5G99j68QMmDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMPAfCAglAAHVK9XiAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa372fb860>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Parallel coordinate plot:\n",
    "plt.figure()\n",
    "pd.tools.plotting.parallel_coordinates(iris, 'Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "np.random.seed(1234)\n",
    "\n",
    "# Random normal parameters - location, scale, no of samples.\n",
    "\n",
    "v1 = pd.Series(np.random.normal(0,10,1000), name='v1')\n",
    "v2 = pd.Series(2*v1 + np.random.normal(60,15,1000), name='v2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7ffa372fb940>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.hist(v1, alpha=0.7, bins=np.arange(-50,150,5), label='v1')\n",
    "plt.hist(v2, alpha=0.7, bins=np.arange(-50,150,5), label='v2')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa3688a0f0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# plot a kernel density estimation over a stacked barchart\n",
    "plt.figure()\n",
    "plt.hist([v1, v2], histtype='barstacked', normed=True)\n",
    "v3 = np.concatenate((v1,v2))\n",
    "sns.kdeplot(v3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffa3686df28>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "# we can pass keyword arguments for each individual component of the plot\n",
    "sns.distplot(v3, hist_kws={'color': 'Teal'}, kde_kws={'color': 'Navy'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7ffa36db7710>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.jointplot(v1, v2, alpha=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid = sns.jointplot(v1, v2, alpha=0.4);\n",
    "grid.ax_joint.set_aspect('equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7ffa35b7cb00>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.jointplot(v1, v2, kind='hex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7ffa3512e668>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set the seaborn style for all the following plots\n",
    "sns.set_style('white')\n",
    "\n",
    "sns.jointplot(v1, v2, kind='kde', space=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SepalLength</th>\n",
       "      <th>SepalWidth</th>\n",
       "      <th>PetalLength</th>\n",
       "      <th>PetalWidth</th>\n",
       "      <th>Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SepalLength  SepalWidth  PetalLength  PetalWidth         Name\n",
       "0          5.1         3.5          1.4         0.2  Iris-setosa\n",
       "1          4.9         3.0          1.4         0.2  Iris-setosa\n",
       "2          4.7         3.2          1.3         0.2  Iris-setosa\n",
       "3          4.6         3.1          1.5         0.2  Iris-setosa\n",
       "4          5.0         3.6          1.4         0.2  Iris-setosa"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = pd.read_csv('iris.csv')\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris, hue='Name', diag_kind='kde', size=2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.subplot(121)\n",
    "sns.swarmplot('Name', 'PetalLength', data=iris);\n",
    "plt.subplot(122)\n",
    "sns.violinplot('Name', 'PetalLength', data=iris);"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
