Examples/ConvNetAbel with digits MNIST images.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Digits MNIST Multiclass image classification\n",
    "\n",
    "With the Convolutional Neural Network made by Abel Garcia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA (exploratory data analysis) and preprocessing\n",
    "\n",
    "This dataset contains 42000 images of 10 different classes, corresponding to digits between 0 and 9 (inclusive)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ConvNetAbel import *\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import math as math\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from sklearn.metrics import accuracy_score,  precision_score, recall_score, roc_curve,roc_auc_score, auc\n",
    "from sklearn.metrics import confusion_matrix, plot_confusion_matrix, precision_recall_curve\n",
    "from sklearn.metrics import ConfusionMatrixDisplay\n",
    "\n",
    "from timeit import default_timer as timer\n",
    "\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(42000, 785)\n"
     ]
    },
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       "   label  pixel0  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  \\\n",
       "0      1       0       0       0       0       0       0       0       0   \n",
       "1      0       0       0       0       0       0       0       0       0   \n",
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       "\n",
       "   pixel8  pixel9  pixel10  pixel11  pixel12  pixel13  pixel14  pixel15  \\\n",
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       "\n",
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       "\n",
       "   ...  pixel759  pixel760  pixel761  pixel762  pixel763  pixel764  pixel765  \\\n",
       "0  ...         0         0         0         0         0         0         0   \n",
       "1  ...         0         0         0         0         0         0         0   \n",
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       "\n",
       "   pixel766  pixel767  pixel768  pixel769  pixel770  pixel771  pixel772  \\\n",
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       "\n",
       "   pixel773  pixel774  pixel775  pixel776  pixel777  pixel778  pixel779  \\\n",
       "0         0         0         0         0         0         0         0   \n",
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       "\n",
       "   pixel780  pixel781  pixel782  pixel783  \n",
       "0         0         0         0         0  \n",
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       "\n",
       "[5 rows x 785 columns]"
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     "execution_count": 8,
     "metadata": {},
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    }
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   "source": [
    "pd.set_option('display.float_format', lambda x: '%.3f' % x)\n",
    "pd.set_option('display.max_rows', 20)\n",
    "pd.set_option('display.max_columns', 50)\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_context(\"notebook\", font_scale=1, rc={\"lines.linewidth\": 2,'font.family': [u'times']})\n",
    "\n",
    "def load_dataset(path):\n",
    "    dataset = pd.read_csv(path, header=0, delimiter=',')\n",
    "    return dataset\n",
    "\n",
    "dataset = load_dataset('../csv/digits mnist/data.csv')\n",
    "\n",
    "y = dataset['label'].values\n",
    "\n",
    "X = dataset.drop(\"label\", axis=\"columns\").to_numpy()\n",
    "\n",
    "print(dataset.values.shape)\n",
    "\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Showing images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def showImg(i, label, imgset):\n",
    "    size = int(math.sqrt(imgset[i].shape[0]))\n",
    "    sample = np.reshape(imgset[i], (size,size))\n",
    "    print(sample.shape)\n",
    "    plt.figure()\n",
    "    plt.title(label)\n",
    "    plt.imshow(sample, 'gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data normalization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = (X - X.mean()) / X.std()\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.5, shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21000, 784) (21000, 1)\n",
      "(21000, 784) (21000, 1)\n"
     ]
    }
   ],
   "source": [
    "y_train = y_train.reshape(y_train.shape[0], 1)\n",
    "y_test = y_test.reshape(y_test.shape[0], 1)\n",
    "\n",
    "print(x_train.shape, y_train.shape)\n",
    "print(x_test.shape, y_test.shape)\n",
    "\n",
    "dicClases = {0:'0',1:'1',2:'2',3:'3',4:'4',5:'5',6:'6',7:'7',8:'8',9:'9'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(28, 28)\n"
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       "    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",
       "        fig.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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (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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AJ3dMdZGAIzN4cLnwne78OOu1VewL3z2BQFQ3+/OMxAAnd0x1kYAjM3hovO56GK39BX0A/3g9oaAAKjf984zEACd3THWRgCMzeHC58J3u/DjrtVXsC989gUBUN/vzjMQAJ3dMdZGAIzN4aLTXXRDhw6NDVip4sYbbyx+zR577FH8mpkzZ/b5mo033jiNGjUqPfnkk+ndd9/tVXPzzTcXz5Nf8Nhjj/XrdWvzRewL3b4o9ZUAWEqsrnoCYF1+tm01BMAYNRed7qIjAC5jSwCM96FrhcP5QAB07Y726CIAtoezxSyvvvpq2nPPPT+m5Yc//GE6+OCDizQSAGNcDgd8rFJfoeBAACQA6jtXO4NiX5QqJgCWEqurngBYl5+fuJoHH3wwTZo0Kc2dOzcNGDCgp3aTTTZJG2ywQREJAmCMy+GAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/LzE1dz2WWXpXvuuSfdcccdq71qAmCM0OGAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/LzE1dz8sknp4EDB6ZLLrlktVdNAIwROhzwsUp9hYIDAZAAqO9c7QyKfVGqmABYSqyuegJgXX5+4mrGjRuXttxyy/T++++nBQsWpG222SadcMIJacyYMcUUcgBcuHBhmjx58sdeO3z48DRt2rQ0ZcqU1jzd+gOHZc4rOAwZMqS4rc4///zi1+y8887Fr7n++uv7fM3gwYPTDjvskJ577rm0ePHiXjX3339/8Tz5BXkfdtqPoh86jYFqX5RyyN9YHzZsWBoxYkTpS6mvgAABsAITmywhh76RI0e2LqDTTz89bbjhhunOO+9M11xzTbrqqqvSrrvu2mSYnpp88SxZsqTXZwmLBqAYAhCAAATWOoFBgwYRANe6C2tHAAFw7XBfK7MuWrQorbvuuilv+OU/EyZMaIW4K6+8skgTTwBjXDzpWMZIwYEngMvY8gQw3oeuFYp9UbpWngCWEqurngBYl5/Fq7ngggvSb37zm3TXXXcVvZbPAMa4HD7jE6vUVyg48BnAZb7xdwD1/auaQbEvSrXyGcBSYnXVEwDr8nOVq3n++efT4Ycfnq644oq04ueajjrqqJSfpqzq316wqgEJgHHjOBzwsUp9hYIDAZAAqO9c7QyKfVGqmABYSqyuegJgXX6ucjUfffRROuyww1ofPp86dWr69Kc/nfK/fuqGG25It956a8qHUckPATCm5XDAxyr1FQoOBEACoL5ztTMo9kWpYgJgKbG66gmAdfn5iav561//mi6++OL0yCOPpHfeeSftuOOO6dRTT+31RLApDgJgTMrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLB4Wtf+1qx8PxvwFmbP/lLWC+88ELraXv+Fv6KP9ddd12/pB133HHFr/vggw+KX7MmX6DohzWpr11jOXAgALbLbc95CICevtirIgDGFjkc8LFKfYWCAwFwmW8EQH3/qmZQ7ItSrQTAUmJ11RMA6/KzbashAMaoHQ74WKW+QsGBAEgA1HeudgbFvihVTAAsJVZXPQGwLj/bthoCYIza4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwDr8rNtqyEAxqgdDvhYpb5CwYEASADUd652BsW+KFVMACwlVlc9AbAuP9u2GgJgjNrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/KzbashAMaoHQ74WKW+QsGBAEgA1HeudgbFvihVTAAsJVZXPQGwLj/bthoCYIza4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwDr8rNtqyEAxqgdDvhYpb5CwYEASADUd652BsW+KFVMACwlVlc9AbAuP9u2GgJgjNrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQcaguA/XVh7NixxS996KGHil+zJl+g6Ic1qa9dYzlwIAC2y23PeQiAnr7YqyIAxhY5HPCxSn2FggMBcJlvBEB9/6pmUOyLUq0EwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/KzbashAMaoHQ74WKW+QsGBAEgA1HeudgbFvihVTAAsJVZXPQGwLj/bthoCYIza4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwDr8rNtqyEAxqgdDvhYpb5CwYEASADUd652BsW+KFVMACwlVlc9AbAuP9u2GgJgjNrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/KzbashAMaoHQ74WKW+QsGBAEgA1HeudgbFvihVTAAsJVZXPQGwLj/bthoCYIza4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwDr8rNtqyEAxqgdDvhYpb5CwYEASADUd652BsW+KFVMACwlVlc9AbAuP9u2GgJgjNrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/KzbashAMaoHQ74WKW+QsGBAEgA1HeudgbFvihVTAAsJVZXPQGwLj/bthoCYIza4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwDr8rNtqyEAxqgdDvhYpb5CwYEASADUd652BsW+KFVMACwlVlc9AbAuP9u2GgJgjNrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQcCIAEQH3namdQ7ItSxQTAUmJ11RMA6/KzbashAMaoHQ74WKW+QsGBAEgA1HeudgbFvihVTAAsJVZXPQGwLj/bthoCYIza4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwDr8rNtqyEAxqgdDvhYpb5CwYEASADUd652BsW+KFVMACwlVlc9AbAuP9u2GgJgjNrhgI9V6isUHAiABEB952pnUOyLUsUEwFJiddUTAOvys22rIQDGqB0O+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsC4/27YaAmCM2uGAj1XqKxQc/vM//7NY+H/8x38Uv2ZNvmDRokXphRdeSJnHhhtu2Gvop59+ul9THXjggcWvW7BgQfFr1uQLFP2wJvW1aywHDgTAdrntOQ8B0NMXe1UEwNgihwM+VqmvUHAgAC7zjQCo71/VDIp9UaqVAFhKrK56AmBdfrZtNQTAGLXDAR+r1FcoOBAACYD6ztXOoNgXpYoJgKXE6qonANblZ9tWQwCMUTsc8LFKfYWCAwGQAKjvXO0Min1RqpgAWEqsrnoCYF1+tm01BMAYtcMBH6vUVyg4EAAJgPrO1c6g2BeligmApcTqqicA1uVn21ZDAIxROxzwsUp9hYIDAZAAqO9c7QyKfVGqmABYSqyuegJgXX62bTUEwBi1wwEfq9RXKDgQAAmA+s7VzqDYF6WKCYClxOqqJwDW5WfbVkMAjFE7HPCxSn2FggMBkACo71ztDIp9UaqYAFhKrK56AmBdfrZtNQTAGLXDAR+r1FcoOBAACYD6ztXOoNgXpYoJgKXE6qonANblZ9tWQwCMUTsc8LFKfYWCAwGQAKjvXO0Min1RqpgAWEqsrnoCYF1+tm01BMAYtcMBH6vUVyg4EAAJgPrO1c6g2BeligmApcTqqicA1uVn21ZDAIxROxzwsUp9hYIDAZAAqO9c7QyKfVGqmABYSqyuegJgXX62bTUEwBi1wwEfq9RXKDgQAAmA+s7VzqDYF6WKCYClxOqqJwDW5WfbVkMAjFE7HPCxSn2FgsN///d/Fwvfaqutil/TnxcsWbKkz5ctXrw4zZ8/P2277bZp8ODBvWq22267/kyVXnvttX69bm2+SNEPa3M9/Z3bgQMBsL/u1fE6AmAdPrZ9FQTAGLnDAR+r1FcoOBAAl/lGANT3r2oGxb4o1UoALCVWVz0BsC4/e1Yza9as9Oijj6Zrr722558999xzadq0aemPf/xj2myzzdJRRx2VJkyY0C8CBMAYm8MBH6vUVyg4EAAJgPrO1c6g2BeligmApcTqqicA1uVnazVXX311mj59eho9enRPAPzb3/6Wvv71r6exY8emY445Jj399NPp3HPPTVOnTk0HHnhgMQUCYIzM4YCPVeorFBwIgARAfedqZ1Dsi1LFBMBSYnXVEwAr8vONN95IU6ZMSfPmzUtDhw5NQ4YM6QmAl19+ebr++uvTgw8+mNZdd93WqmfMmJHuv//+dO+99xZTIADGyBwO+FilvkLBgQBIANR3rnYGxb4oVUwALCVWVz0BsCI/c7i7++6706RJk9Kll16aXn311Z4AePzxx6dNN900XXLJJT0r/t3vftd6Gpj/e4sttigiQQCMcTkc8LFKfYWCAwGQAKjvXO0Min1RqpgAWEqsrnoCYF1+9qzmjDPO6BUAx48fn3bfffd02mmn9dS8+OKLady4cenWW29NI0aMKCKRA+DChQvT5MmTP/a64cOHtz5rmJ9GLliwoGjcmorhsMxNBYf77ruvuFVK3+QUT/D/L3j//ff7fGn+dnAOrv/8z/+c1l9//V41//7v/96v6f7nf/6nX69bmy9S9MPaXE9/53bgMHPmzDRs2LDi87+/a+Z1XgQIgF5+rDE1KwfAvfbaK+23337ppJNO6pnjlVdeaX0mMP9qeOeddy6aOwfAfKENGDCg6HUUQwACEICAD4FBgwYRAH3saKsSAmBbcbdvspIngLfffnvacccdi8TxBDDG5fAOP1apr1Bw4AngMt94AqjvX9UMin1RqpUngKXE6qonANblZ89qVg6A+TOA+U+/XHTRRT01fAZQa77DZ3y0K2w2uoIDnwFcxp6/A9isBx2rFPuidJ18BrCUWF31BMC6/FxlAPzpT3+abrrppvTAAw+kddZZp1WXvxCS/zffAtY0gcMBr1lZ2agKDgRAAmBZF/pVK/ZF6SoJgKXE6qonANbl5yoD4FtvvdX6O4B77rlnOu6449IzzzyTzjnnnNbfAjzggAOKKfAt4BiZwwEfq9RXKDgQAAmA+s7VzqDYF6WKCYClxOqqJwDW5ecqA2D+P3Loy9/OffbZZ9OWW26Zjj322HTkkUf2iwABMMbmcMDHKvUVCg4EQAKgvnO1Myj2RaliAmApsbrqCYB1+dm21RAAY9QOB3ysUl+h4OAcAN97770+oS5evLj1Z5Hyh/8HDx7cq2ajjTbSG2Eyg6IfTJZWJMOBAwGwyLLqigmA1VnangURAGPODgd8rFJfoeBAANT7pppB0Q8qrcpxHTgQAJUO+49NAPT3yFIhATC2xeGAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYWCAwFQ75tqBkU/qLQqx3XgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9QcCAA6n1TzaDoB5VW5bgOHAiASof9xyYA+ntkqZAAGNvicMDHKvUVCg4EQL1vqhkU/aDSqhzXgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+QsGBAKj3TTWDoh9UWpU7s+wmAAAgAElEQVTjOnAgACod9h+bAOjvkaVCAmBsi8MBH6vUVyg4EAD1vqlmUPSDSqtyXAcOBEClw/5jEwD9PbJUSACMbXE44GOV+goFBwKg3jfVDIp+UGlVjuvAgQCodNh/bAKgv0eWCgmAsS0OB3ysUl+h4EAA1PummkHRDyqtynEdOBAAlQ77j00A9PfIUiEBMLbF4YCPVeorFBwIgHrfVDMo+kGlVTmuAwcCoNJh/7EJgP4eWSokAMa2OBzwsUp9hYIDAVDvm2oGRT+otCrHdeBAAFQ67D82AdDfI0uFBMDYFocDPlapr1BwIADqfVPNoOgHlVbluA4cCIBKh/3HJgD6e2SpkAAY2+JwwMcq9RUKDgRAvW+qGRT9oNKqHNeBAwFQ6bD/2ARAf48sFRIAY1scDvhYpb5CweGAAw4oFn7rrbcWv6Y/L5g3b94qXzZw4MD00Ucffez//9d//df+TNWRr1H0QyeCcOBAAOzEzllzmgmAa45lV41EAIztdjjgY5X6CgUHAqDeN9UMin5QaVWO68CBAKh02H9sAqC/R5YKCYCxLQ4HfKxSX6HgQADU+6aaQdEPKq3KcR04EACVDvuPTQD098hSIQEwtsXhgI9V6isUHAiAet9UMyj6QaVVOa4DBwKg0mH/sQmA/h5ZKiQAxrY4HPCxSn2FggMBUO+bagZFP6i0Ksd14EAAVDrsPzYB0N8jS4UEwNgWhwM+VqmvUHAgAOp9U82g6AeVVuW4DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FQoOBEC9b6oZFP2g0qoc14EDAVDpsP/YBEB/jywVEgBjWxwO+FilvkLBgQCo9001g6IfVFqV4zpwIAAqHfYfmwDo75GlQgJgbIvDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKBQcCoN431QyKflBpVY7rwIEAqHTYf2wCoL9HlgoJgLEtDgd8rFJfoeBAANT7pppB0Q8qrcpxHTgQAJUO+49NAPT3yFIhATC2xeGAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYWCAwFQ75tqBkU/qLQqx3XgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9QcPja175WLHzu3LnFr+nPCw466KA+XzZ06NA0YcKENGfOnPT666/3qrn99tv7M1VHvkbRD50IwoEDAbATO2fNaSYArjmWXTUSATC22+GAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYWCAwFQ75tqBkU/qLQqx3XgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9QcCAA6n1TzaDoB5VW5bgOHAiASof9xyYA+ntkqZAAGNvicMDHKvUVCg4EQL1vqhkU/aDSqhzXgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+QsGBAKj3TTWDoh9UWpXjOnAgACod9h+bAOjvkaVCAmBsi8MBH6vUVyg4EAD1vqlmUPSDSqtyXAcOBEClw/5jEwD9PbJUSACMbXE44GOV+goFBwKg3jfVDIp+UGlVjuvAgQCodNh/bAKgv0eWCgmAsS0OB3ysUl+h4EAA1PummkHRDyqtynEdOBAAlQ77j00A9PfIUiEBMLbF4YCPVeorFBwIgHrfVDMo+kGlVTmuAwcCoNJh/7EJgP4eWSokAMa2OBzwsUp9hYIDAVDvm2oGRT+otCrHdeBAAFQ67D82AdDfI0uFBMDYFocDPlapr1BwIADqfVPNoOgHlVbluA4cCIBKh/3HJgD6e2SpkAAY2+JwwMcq9RUKDgRAvW+qGRT9oNKqHNeBAwFQ6bD/2ARAf48sFRIAY1scDvhYpb5CwYEAqPdNNYOiH1RaleM6cCAAKh32H5sA6O+RpUICYGyLwwEfq9RXKDgQAPW+qWZQ9INKq3JcBw4EQKXD/mMTAP09slRIAIxtcTjgY5X6CgUHAqDeN9UMin5QaVWO68CBAKh02H9sAqC/R5YKCYCxLQ4HfKxSX6HgQADU+6aaQdEPKq3KcR04EACVDvuPTQD098hSIQEwtsXhgI9V6isUHAiAet9UMyj6QaVVOa4DBwKg0mH/sQmA/h5ZKiQAxrY4HPCxSn2FggMBUO+bagZFP6i0Ksd14EAAVDrsPzYB0N8jS4UEwNgWhwM+VqmvUHAgAOp9U82g6AeVVuW4DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FQoOBEC9b6oZFP2g0qoc14EDAVDpsP/YBEB/jywVEgBjWxwO+FilvkLBgQCo9001g6IfVFqV4zpwIAAqHfYfmwDo75GlQgJgbIvDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKBQcCoN431QyKflBpVY7rwIEAqHTYf2wCoL9HlgoJgLEtDgd8rFJfoeBAANT7pppB0Q8qrcpxHTgQAJUO+49NAPT3yFIhATC2xeGAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYWCAwFQ75tqBkU/qLQqx3XgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9QcCAA6n1TzaDoB5VW5bgOHAiASof9xyYA+nvUL4WzZs1Kjz76aLr22mt7Xv/9738/3Xbbbb3G22qrrdIjjzxSPAcBMEbmcMDHKvUVCg4EQL1vqhkU/aDSqhzXgQMBUOmw/9gEQH+PihVeffXVafr06Wn06NG9AuA3vvGNNGbMmHTkkUf2jLnOOuukzTffvHgOAmCMzOGAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HjVW+MYbb6QpU6akefPmpaFDh6YhQ4b0BMAPP/wwjRw5Ms2YMSONHTu28ZirKiQAxggdDvhYpb5CwYEAqPdNNYOiH1RaleM6cCAAKh32H5sA6O9RY4UPPvhguvvuu9OkSZPSpZdeml599dWeAPjnP/857bvvvunee+9N2267beMxCYD9R+VwwPdf/Zp7pYIDAXDN+dPukRT90O41rIn5HDgQANeEk507BgGwc737ROVnnHFGrwB4zz33pJNPPjkddthhrc/8DRw4MH31q19thcVNNtmkmEJ+Arhw4cI0efLkj712+PDhadq0aa2nkQsWLCgeu5YXwGGZkwoO+eMNpT+zZ88ufUm/6k8//fQ+X7fFFluk/fffP+VL96233upVk9+8dcuPoh86kZ0Dh5kzZ6Zhw4alESNGdCJCNK8mAQLgagJ0ffnKAfDHP/5xuuyyy1ohMAe/l19+OV1wwQVp6623Tj/72c9agbDkJwfAJUuWpAEDBpS8jFoIQAACEDAiMGjQIAKgkR/tlEIAbCftNs61cgBcunRp+sc//pE23XTTHhVPP/10OvTQQ9PNN9+cdtpppyJ1PAGMcTm8w49V6isUHHgCqPdNNYOiH1RaleM6cOAJoNJh/7EJgP4e9UvhygGwr0EWLVrU+mJIfjq4zz77FM3Dl0BiXA6f8YlV6isUHPgMoN431QyKflBpVY7rwIHPACod9h+bAOjvUb8UrhwA82f13n777TRnzpye8R5//PF09NFHp1/96ldpu+22K5qHABjjcjjgY5X6CgUHAqDeN9UMin5QaVWO68CBAKh02H9sAqC/R/1SuHIAfOihh9J3vvOddNJJJ6Vx48al+fPnp/POOy996UtfSpdccknxHATAGJnDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T3ql8K+fgV83333tb4I8tJLL7W++Tt+/PjWt4DXX3/94jkIgDEyhwM+VqmvUHAgAOp9U82g6AeVVuW4DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FQoOBEC9b6oZFP2g0qoc14EDAVDpsP/YBEB/jywVEgBjWxwO+FilvkLBgQCo9001g6IfVFqV4zpwIAAqHfYfmwDo75GlQgJgbIvDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKBQcCoN431QyKflBpVY7rwIEAqHTYf2wCoL9HlgoJgLEtDgd8rFJfoeBAANT7pppB0Q8qrcpxHTgQAJUO+49NAPT3yFIhATC2xeGAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYWCAwFQ75tqBkU/qLQqx3XgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9QcCAA6n1TzaDoB5VW5bgOHAiASof9xyYA+ntkqZAAGNvicMDHKvUVCg4EQL1vqhkU/aDSqhzXgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+QsGBAKj3TTWDoh9UWpXjOnAgACod9h+bAOjvkaVCAmBsi8MBH6vUVyg4EAD1vqlmUPSDSqtyXAcOBEClw/5jEwD9PbJUSACMbXE44GOV+goFBwKg3jfVDIp+UGlVjuvAgQCodNh/bAKgv0eWCgmAsS0OB3ysUl+h4EAA1PummkHRDyqtynEdOBAAlQ77j00A9PfIUiEBMLbF4YCPVeorFBwIgHrfVDMo+kGlVTmuAwcCoNJh/7EJgP4eWSokAMa2OBzwsUp9hYIDAVDvm2oGRT+otCrHdeBAAFQ67D82AdDfI0uFBMDYFocDPlapr1BwIADqfVPNoOgHlVbluA4cCIBKh/3HJgD6e2SpkAAY2+JwwMcq9RUKDgRAvW+qGRT9oNKqHNeBAwFQ6bD/2ARAf48sFRIAY1scDvhYpb5CwYEAqPdNNYOiH1RaleM6cCAAKh32H5sA6O+RpUICYGyLwwEfq9RXKDgQAPW+qWZQ9INKq3JcBw4EQKXD/mMTAP09slRIAIxtcTjgY5X6CgUHAqDeN9UMin5QaVWO68CBAKh02H9sAqC/R5YKCYCxLQ4HfKxSX6HgQADU+6aaQdEPKq3KcR04EACVDvuPTQD098hSIQEwtsXhgI9V6isUHAiAet9UMyj6QaVVOa4DBwKg0mH/sQmA/h5ZKiQAxrY4HPCxSn2FggMBUO+bagZFP6i0Ksd14EAAVDrsPzYB0N8jS4UEwNgWhwM+VqmvUHAgAOp9U82g6AeVVuW4DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FQoOBEC9b6oZFP2g0qoc14EDAVDpsP/YBEB/jywVEgBjWxwO+FilvkLBgQCo9001g6IfVFqV4zpwIAAqHfYfmwDo75GlQgJgbIvDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKBQfnAPhf//VffUIdPHhw2n777dPzzz+fFi9e3Kvm+OOP1xthMoOiH0yWViTDgQMBsMiy6ooJgNVZ2p4FEQBjzg4HfKxSX6HgQADU+6aaQdEPKq3KcR04EACVDvuPTQD098hSIQEwtsXhgI9V6isUHAiAet9UMyj6QaVVOa4DBwKg0mH/sQmA/h5ZKiQAxrY4HPCxSn2FggMBUO+bagZFP6i0Ksd14EAAVDrsPzYB0N8jS4UEwNgWhwM+VqmvUHAgAOp9U82g6AeVVuW4DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FQoOBEC9b6oZFP2g0qoc14EDAVDpsP/YBEB/jywVEgBjWxwO+FilvkLBgQCo9001g6IfVFqV4zpwIAAqHfYfmwDo75GlQgJgbIvDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKBQcCoN431QyKflBpVY7rwIEAqHTYf2wCoL9HlgoJgLEtDgd8rFJfoeBAANT7pppB0Q8qrcpxHTgQAJUO+49NAPT3yFIhATC2xeGAj1XqKxQcCIB631QzKPpBpVU5rgMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYWCAwFQ75tqBkU/qLQqx3XgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9QcCAA6n1TzaDoB5VW5bgOHAiASof9xyYA+ntkqZAAGNvicMDHKvUVCg7OAfC9997rE+rixYvTggUL0vDhw9PgwYN71Wy00UZ6I0xmUPSDydKKZDhwIAAWWVZdMQGwOkvbsyACYMzZ4YCPVeorFBwIgHrfVDMo+kGlVTmuAwcCoNJh/7EJgP4eWSokAMa2OBzwsUp9hYIDAVDvm2oGRT+otCrHdeBAAFQ67D82AdDfI0uFBMDYFocDPlapr1BwIADqfVPNoOgHlVbluA4cCIBKh/3HJgD6e2SpkAAY2+JwwMcq9RUKDgRAvW+qGRT9oNKqHNeBAwFQ6bD/2ARAf48sFRIAY1scDvhYpb5CwYEAqPdNNYOiH1RaleM6cCAAKh32H5sA6O+RpUICYGyLwwEfq9RXKDgQAPW+qWZQ9INKq3JcBw4EQKXD/mMTAP09slRIAIxtcTjgY5X6CgUHAqDeN9UMin5QaVWO68CBAKh02H9sAqC/R5YKCYCxLQ4HfKxSX6HgQADU+6aaQdEPKq3KcR04EACVDvuPTQD098hSIQEwtsXhgI9V6isUHAiAet9UMyj6QaVVOa4DBwKg0mH/sQmA/h5ZKiQAxrY4HPCxSn2FggMBUO+bagZFP6i0Ksd14EAAVDrsPzYB0N8jS4UEwNgWhwM+VqmvUHAgAOp9U82g6AeVVuW4DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FQoOBEC9b6oZFP2g0qoc14EDAVDpsP/YBEB/jywVEgBjWxwO+FilvkLBgQCo9001g6IfVFqV4zpwIAAqHfYfmwDo75GlQgJgbIvDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T1qrPDtt99OM2bMSA8//HB69913Uz5gJk+enHbeeefWGI8++mi66KKL0osvvpiGDh2aTjjhhLT//vs3Hn/FQgJgjM3hgI9V6isUHAiAet9UMyj6QaVVOa4DBwKg0mH/sQmA/h41Vnjsscemt956K5111llp8803TzfccEO65ZZb0m233dYa44ADDkgTJkxI48ePTw899FC65JJL0pw5c9Kuu+7aeI7lhQTAGJnDAR+r1FcoOBAA9b6pZlD0g0qrclwHDgRApcP+YxMA/T1qpPDll19Oe++9d7rxxhvTqFGjWq9ZunRp2meffdK4ceNawfD5559PN998c894+elgfmqYQ2DpDwEwJuZwwMcq9RUKDgRAvW+qGRT9oNKqHNeBAwFQ6bD/2ARAf48aKXznnXfSU0891XqaN2jQoJ7X7LXXXmnMmDHpscceS2PHjk2nnHJKz/+Xnw5Omzat9boBAwY0mocngM0xORzwzdXqKhUcCIA6v9QjK/pBrVkxvgMHAqDC2c4ZkwDYOV4VK73nnnvSpEmT0uzZs9Opp57a+s8RRxzRM86vf/3rNHHixNZnA/OvjEt+8hPAhQsXtj5juPLP8OHDW8FyypQpacGCBSXDVlULh2V2KjiMHj26uFfyPmjHz5IlS/qcJv/z1157LW299dZp/fXX71Xzb//2b+2QZjGHoh8sFlYowoHDzJkz07Bhw9KIESMK1VNeAwECYA0u9rGGefPmpeOOO671RHDWrFlpxx13TOedd1466KCDeqpz8PvWt76VchDMXwop+ckBMF9opU8OS+agFgIQgAAEtATyb4wIgFrGrqMTAF2dWQ1dc+fObT3t22mnndLll1+eNthggzRy5Mh02mmn9fkE8Iknnkif+tSnimbkCWCMy+EdfqxSX6HgwBNAvW+qGRT9oNKqHNeBA08AlQ77j00A9PeoSOF1113X+vVr/uzfxRdf3PN5wH333bf1JZH8K+HlP/kzgOeff37KTwsHDhxYNA9fAolxOXzGJ1apr1Bw4DOAet9UMyj6QaVVOa4DBz4DqHTYf2wCoL9HjRXmP/ty7rnnpqOOOiqdeeaZvULd2Wef3fr7f7lm+U/+Qsjf//53vgXcmHBZocMBX6ZYU63gQADUeNWOURX90A7da3oOBw4EwDXtameNRwDsLL9WqXb+/Pmtv++3xx57pKlTp/aqy78Cfv3111t/BzB/5i//d/7cX/47gFdeeSV/B1DUAw4HvGhpRcMqOBAAiyywKlb0g9UCG4px4EAAbGhWpWUEwEqMveyyy1L+PEdfPznwTZ8+PT3yyCOtfxNI/mZu/ubXiSeemPKvhvvzw6+AY2oOB3ysUl+h4EAA1PummkHRDyqtynEdOBAAlQ77j00A9PfIUiEBMLbF4YCPVeorFBwGDx5cLPyqq64qfs3BBx9c/JpV/RmYxYsXp/ykftttt00r6//iF79YPE9+Qf5YR6f9KPqh0xhkvQ4cCICd2DlrTjMBcM2x7KqRCICx3Q4HfKxSX6HgQABc5hsBUN+/qhkU+6JUKwGwlFhd9QTAuvxs22oIgDFqhwM+VqmvUHAgABIA9Z2rnUGxL0oVEwBLidVVTwCsy8+2rYYAGKN2OOBjlfoKBQcCIAFQ37naGRT7olQxAbCUWF31BMC6/GzbagiAMWqHAz5Wqa9QcCAAEgD1naudQbEvShUTAEuJ1VVPAKzLz7athgAYo3Y44GOV+goFBwIgAVDfudoZFPuiVDEBsJRYXfUEwLr8bNtqCIAxaocDPlapr1BwIAASAPWdq51BsS9KFRMAS4nVVU8ArMvPtq2GABijdjjgY5X6CgUHAiABUN+52hkU+6JUMQGwlFhd9QTAuvxs22oIgDFqhwM+VqmvUHAgABIA9Z2rnUGxL0oVEwBLidVVTwCsy8+2rYYAGKN2OOBjlfoKBQcCIAFQ37naGRT7olQxAbCUWF31BMC6/GzbagiAMWqHAz5Wqa9QcCAAEgD1naudQbEvShUTAEuJ1VVPAKzLz7athgAYo3Y44GOV+goFBwIgAVDfudoZFPuiVDEBsJRYXfUEwLr8bNtqCIAxaocDPlapr1BwIAASAPWdq51BsS9KFRMAS4nVVU8ArMvPtq2GABijdjjgY5X6CgUHAiABUN+52hkU+6JUMQGwlFhd9QTAuvxs22oIgDFqhwM+VqmvcOFw5ZVXFi/2mGOOKX7Nql6waNGi9MILL6TMY8MNN+xVNmfOnH7NM3HixH69bm2+yKUf1iaDPLcDBwLg2u6CtTs/AXDt8u/Y2QmAsXUOB3ysUl/hwoEAqPe6yQwu/dBEq7LGgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+woUDAVDvdZMZXPqhiVZljQMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYULBwKg3usmM7j0QxOtyhoHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKFw4EQL3XTWZw6YcmWpU1DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FS4cCIB6r5vM4NIPTbQqaxw4EACVDvuPTQD098hSIQEwtsXhgI9V6itcOBAA9V43mcGlH5poVdY4cCAAKh32H5sA6O+RpUICYGyLwwEfq9RXuHAgAOq9bjKDSz800aqsceBAAFQ67D82AdDfI0uFBMDYFocDPlapr3DhQADUe91kBpd+aKJVWePAgQCodNh/bAKgv0eWCgmAsS0OB3ysUl/hwoEAqPe6yQwu/dBEq7LGgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+woUDAVDvdZMZXPqhiVZljQMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYULBwKg3usmM7j0QxOtyhoHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKFw4EQL3XTWZw6YcmWpU1DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FS4cCIB6r5vM4NIPTbQqaxw4EACVDvuPTQD098hSIQEwtsXhgI9V6itcOBAA9V43mcGlH5poVdY4cCAAKh32H5sA6O+RpUICYGyLwwEfq9RXuHAgAOq9bjKDSz800aqsceBAAFQ67D82AdDfI0uFBMDYFocDPlapr3DhQADUe91kBpd+aKJVWePAgQCodNh/bAKgv0eWCgmAsS0OB3ysUl/hwoEAqPe6yQwu/dBEq7LGgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+woUDAVDvdZMZXPqhiVZljQMHAqDSYf+xCYD+HlkqJADGtjgc8LFKfYULBwKg3usmM7j0QxOtyhoHDgRApcP+YxMA/T2yVEgAjG1xOOBjlfoKFw4EQL3XTWZw6YcmWpU1DhwIgEqH/ccmAPp7ZKmQABjb4nDAxyr1FS4cCIB6r5vM4NIPTbQqaxw4EACVDvuPTQD098hSIQEwtsXhgI9V6itcOBAA9V43mcGlH5poVdY4cCAAKh32H5sA6O+RpUICYGyLwwEfq9RXuHAgAOq9bjKDSz800aqsceBAAFQ67D82AdDfI0uFBMDYFocDPlapr3DhQADUe91kBpd+aKJVWePAgQCodNh/bAKgv0eWCgmAsS0OB3ysUl/hwoEAqPe6yQwu/dBEq7LGgQMBUOmw/9gEQH+PLBUSAGNbHA74WKW+woXDLrvsUrzYRx55pPg16667bp+vWbRoUXrhhRdS5rHhhhv2qpkzZ07xPPkFEydO7Nfr1uaLXPphbTLIcztwIACu7S5Yu/MTANcu/46dnQAYW+dwwMcq9RUuHAiAeq+bzODSD020KmscOBAAlQ77j00A9PfIUiEBMLbF4YCPVeorXDgQAPVeN5nBpR+aaFXWOHAgACod9h+bAOjvkaVCAmBsi8MBH6vUV7hwIADqvW4yg0s/NNGqrHHgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9w4UAA1HvdZAaXfmiiVVnjwIEAqHTYf2wCoL9HlgoJgLEtDgd8rFJf4cKBAKj3uskMLv3QRKuyxoEDAVDpsP/YBEB/jywVEgBjWxwO+FilvsKFAwFQ73WTGVz6oYlWZY0DBwKg0mH/sWedZwUAABOSSURBVAmA/h5ZKiQAxrY4HPCxSn2FCwcCoN7rJjO49EMTrcoaBw4EQKXD/mMTAP09slRIAIxtcTjgY5X6ChcOBEC9101mcOmHJlqVNQ4cCIBKh/3HJgD6e2SpkAAY2+JwwMcq9RUuHAiAeq+bzODSD020KmscOBAAlQ77j00A9PfIUiEBMLbF4YCPVeorXDgQAPVeN5nBpR+aaFXWOHAgACod9h+bAOjvkaVCAmBsi8MBH6vUV7hwIADqvW4yg0s/NNGqrHHgQABUOuw/NgHQ3yNLhQTA2BaHAz5Wqa9w4UAA1HvdZAaXfmiiVVnjwIEAqHTYf2wCoL9HlgoJgLEtDgd8rFJfAYdljOEAhxV3m0M/EAD155/zDARAZ3eMtREAY3McDvhYpb4CDgQft+Cj7/p4Bod9QQCMfaq5ggBYkbtvv/12mjFjRnr44YfTu+++23riMHny5LTzzju3VnnUUUelJ554oteKR40alW688cZiCgTAGJnDAR+r1FfAgQBIAPz4PnPYFwRA/fnnPAMB0NmdQm3HHntseuutt9JZZ52VNt9883TDDTekW265Jd12221pu+22S/kzUJMmTUpjx47tGXm99dZLm222WeFMKREAY2QOB3ysUl8BBwIgAZAAqD9pmKGUAAGwlJhp/csvv5z23nvv1tO8/FQv/yxdujTts88+ady4cemwww5Lu+++e8rv+HbYYYfVXgUBMEZI8CH4EHw8g0+8e/UVDucDTwD1PjvPQAB0dqdA2zvvvJOeeuqptOuuu6ZBgwb1vHKvvfZKY8aMSXvssUf69re/nZ5++um0/vrrF4zcdykBMEbocMDHKvUVcCAIE4Q9gzABUH/+Oc9AAHR2ZzW13XPPPa1f+c6ePTu99NJL6YorrmgFwUcffTRttNFGraeDJ5xwQq/A2HTKHAAXLlzY+ozhyj/Dhw9P06ZNS1OmTEkLFixoOmR1dXBYZikc4LDi5qYffPph5syZadiwYWnEiBHVnb8sKCZAAIwZdWTFvHnz0nHHHdd6Ijhr1qz0ve99L913332tULbTTjulZ599Nl1wwQWtp4MXXnhh8RpzAFyyZEkaMGBA8Wt5AQQgAAEIeBDIvzEiAHp40W4VBMB2E2/DfHPnzk2nnnpqK+hdfvnlaYMNNkgffvhhWrRoUdpkk016FNx9993plFNOSb/97W/TkCFDipTxBDDGxZMOnycdsVv6CvqBfnB7EsoTQP2+d56BAOjsTj+0XXfdda1fv+bP/l188cWf+OvdP/3pT2m//fZLP//5z9MXvvCFotn4DGCMi8++LWMEBzisuFvoB59+4DOA8TlecwUBsCJ38599Offcc1t/7+/MM89MAwcO7Fnd4Ycfnj73uc+lH/zgBz3/LP95mLPPPjs99thjaeONNy4iQQCMcXHR+Vx0sVv6CvqBfnALwgRA/b53noEA6OxOgbb58+en8ePHt77kMXXq1F6vzL8CvvPOO9P555/fCny77bZb6+/4nXfeeenQQw9NJ598csFMy0oJgDEyLnwufLcLP+5afQX7wmdfEAD1/e48AwHQ2Z0CbZdddlnKn+fo6+eAAw5I06dPb/2NwGuvvTa98soracstt0yHHHJImjhxYq8nhU2nJADGpLjofC662C19Bf1AP7i9ISAA6ve98wwEQGd3jLURAGNzuPC58N0u/Lhr9RXsC599QQDU97vzDARAZ3eMtREAY3O46HwuutgtfQX9QD+4vSEgAOr3vfMMBEBnd4y1EQBjc7jwufDdLvy4a/UV7AuffUEA1Pe78wwEQGd3jLURAGNzuOh8LrrYLX0F/UA/uL0hIADq973zDARAZ3eMtREAY3O48Lnw3S78uGv1FewLn31BANT3u/MMBEBnd4y1EQBjc7jofC662C19Bf1AP7i9ISAA6ve98wwEQGd3jLURAGNzuPC58N0u/Lhr9RXsC599QQDU97vzDARAZ3eMtREAY3O46HwuutgtfQX9QD+4vSEgAOr3vfMMBEBnd4y1EQBjc7jwufDdLvy4a/UV7AuffUEA1Pe78wwEQGd3jLURAGNzuOh8LrrYLX0F/UA/uL0hIADq973zDARAZ3eMtREAY3O48Lnw3S78uGv1FewLn31BANT3u/MMBEBnd4y1EQBjc7jofC662C19Bf1AP7i9ISAA6ve98wwEQGd3jLURAGNzuPC58N0u/Lhr9RXsC599QQDU97vzDARAZ3eMtREAY3O46HwuutgtfQX9QD+4vSEgAOr3vfMMBEBnd4y1EQBjc7jwufDdLvy4a/UV7AuffUEA1Pe78wwEQGd3jLURAGNzuOh8LrrYLX0F/UA/uL0hIADq973zDARAZ3eMtREAY3O48Lnw3S78uGv1FewLn31BANT3u/MMBEBnd4y1EQBjc7jofC662C19Bf1AP7i9ISAA6ve98wwEQGd3jLURAGNzuPC58N0u/Lhr9RXsC599QQDU97vzDARAZ3eMtREAY3O46HwuutgtfQX9QD+4vSEgAOr3vfMMBEBnd4y1EQBjc7jwufDdLvy4a/UV7AuffUEA1Pe78wwEQGd3jLURAGNzuOh8LrrYLX0F/UA/uL0hIADq973zDARAZ3eMtREAY3O48Lnw3S78uGv1FewLn31BANT3u/MMBEBnd4y1EQBjc7jofC662C19Bf1AP7i9ISAA6ve98wwEQGd3jLURAGNzuPC58N0u/Lhr9RXsC599QQDU97vzDARAZ3eMtREAY3O46HwuutgtfQX9QD+4vSEgAOr3vfMMBEBnd4y1Pfnkk+mDDz5Ir7/++sdUDho0KP3TP/1TevPNN9P7779vvAqtNDgs4wsHOKy40+gHn34YOnRoWm+99dKoUaO0hyGjWxIgAFra4i/qqaeeSkuXLm0dHvxAAAIQgEDnEchv4gcMGJBGjhzZeeJRvNoECICrjZABIAABCEAAAhCAQGcRIAB2ll+ohQAEIAABCEAAAqtNgAC42ggZAAIQgAAEIAABCHQWAQJgZ/mFWghAAAIQgAAEILDaBAiAq42QASAAAQhAAAIQgEBnESAAdpZfqIUABCAAAQhAAAKrTYAAuNoIGQACEIAABCAAAQh0FgECYGf5hVoIQAACEIAABCCw2gQIgKuNkAEgAAEIQAACEIBAZxEgAHaWX6iFAAQgAAEIQAACq02AALjaCBkAAhCAAAQgAAEIdBYBAmBn+YVaCEAAAhCAAAQgsNoECICrjZABlhP46KOP0k9+8pN0yy23pHfeeSd9+ctfTlOnTk3bbLNNV0F69dVX05577vmxNf/whz9MBx98cFewmDVrVnr00UfTtdde27Pe5557Lk2bNi398Y9/TJtttlk66qij0oQJE6rm0ReH73//++m2227rte6tttoqPfLII1WxePvtt9OMGTPSww8/nN599930+c9/Pk2ePDntvPPOrXXm/rjooovSiy++mIYOHZpOOOGEtP/++1fFIC8m4pD3wRNPPNFr3aNGjUo33nhjdSxYkBcBAqCXHx2tJoe/G264If3oRz9K+ULLh/srr7ySfvnLX6ZBgwZ19NpKxD/44INp0qRJae7cuWnAgAE9L91kk03SBhtsUDJUR9ZeffXVafr06Wn06NE9AfBvf/tb+vrXv57Gjh2bjjnmmPT000+nc889t/UG4cADD+zIdUai++KQX/ONb3wjjRkzJh155JE9Q6yzzjpp8803j4bsqP//2GOPTW+99VY666yzWmvLZ0N+c7g8/B5wwAGtNwDjx49PDz30ULrkkkvSnDlz0q677tpR64zEfhKH7bbbLu2yyy6t8yLvjeU/6623XutNEj8QUBIgACrpdtHY77//fvrKV76STjvttHT44Ye3Vp6fAuaL7vzzz0/jxo3rGhqXXXZZuueee9Idd9zRNWvOC33jjTfSlClT0rx581pPdIYMGdITAC+//PJ0/fXXpxyO11133RaX/HTo/vvvT/fee29VnD6Jw4cffphGjhzZWvuKF35VAFJKL7/8ctp7771bT7Hy06z8s3Tp0rTPPvu0zoIcDJ9//vl088039yw9Px3MT8tyCKzlJ+Jw2GGHpd133z394he/SDvssEMty2YdHUKAANghRrnLfOaZZ1q/3syX+bbbbtsjN4fB/Kufc845x30Ja0zfySefnAYOHNh6otFNPznc3X333a2nGZdeemnKvwpf/ivg448/Pm266aa9mPzud79rPQ3M/73FFltUg+qTOPz5z39O++6778f2STWL//+F5Dd/Tz31VOtp3opP//faa6/Wm8LHHnusFYBPOeWUnqXnp4P5IwL5dSs+Oe9kNhGHPfbYI337299uPRFff/31O3mpaO9AAgTADjTNUXJ+knPiiSem3//+971+zXnSSSel9957L+UnQN3yk59wbLnllik/FV2wYEHrM5D580354uuWnzPOOKNXAMy/5stPOvIT4uU/+bNfmdWtt96aRowYUSWalTnkJ8P5DUJ+8pM/85ffKHz1q19theb8EYGaf/La8zpnz56dTj311NZ/jjjiiJ4l//rXv04TJ05sfTawtl+Hr+jrihxeeumldMUVV6QcBPO6N9poo9ZT0nxedNPHZmrue+e1EQCd3ekgbfnXnaeffnrKH/TPl9ryn/zP3nzzzZQ/D9UNPzn05V/x5V/n5LVvuOGG6c4770zXXHNNuuqqq6r7fNOqPF05+OQnP/vtt1/KbwiW/+TPh+anQPlXw8u/GFBbj6zM4cc//nHKHxHIITAHv/wrwgsuuCBtvfXW6Wc/+1mvvVMTi/yxgOOOO67V//mLMTvuuGM677zz0kEHHdSzzByAvvWtb6UcBPNHCGr8WZnD9773vXTfffe1Pjqx0047pWeffbbVD/nN4oUXXlgjAtZkRIAAaGRGJ0vJh9h3v/vdPp8A5lCU3/V3y8+iRYtan3Nb8R18/rB7/rXWlVde2RUYSp4A3n777a1AUOPPyhzy5+D+8Y9/tH4dvvwn//rv0EMPbX0eLoeA2n7yl6Hy0768tvybgPxFqPwmKT8N7usJYP5G7Kc+9anaMLS+FLYyh/yZ0HxerPj0N3+MIv9q/Le//W3rc7T8QEBFgACoIttl4y7/DOADDzyQPvvZz/asPn8GcPvtt29927Obf/K7+t/85jfprrvu6goMKwef/BnA/K3G/M3w5T+1fgZwRYNX5tCX+TkA5ECUnw7mX//V9HPddde1PteXnwBffPHFPW+K8ucg85dE8q+El//kzwDmL4zlp2Qr/hahBh6r4tDX2v70pz+1npb//Oc/T1/4whdqWD5rMCVAADQ1ptNk5ad8+dc7+cJb/rfuuvFbwPmbjTn05s/1rPhrzfy3vvK7+ZkzZ3aatf3Su3Lw+elPf5puuummlN8g5D95kn/yl2Ty/67tW8CfFAD7+qbr448/no4++uj0q1/9KuU/C1LLT/6zL/lP/eTeP/PMM3uFurPPPrv19/9yzfKf/NTr73//e1XfAs5r+yQO+az43Oc+l37wgx/0cMh/JifzyV+U2XjjjWtpB9ZhSIAAaGhKp0rK4SZf8vld/Gc+85nW056//OUvrade3fKB5vzHsPMH/BcvXtx66vnpT3+69au9fAnkLzvkb0R3w8/KATD/2Y/8dwDzH8jOnwXLT4zzN8NzQMh/D67Wn5U55L93953vfKf1Wcj8BZj58+e3Pgv3pS99qapvjed15S/+5C83rPz0P/8K+PXXX2/5nj/zl/87f+4vvyHIH5Go6e8ARhzy54PzeZkD32677Zb+8Ic/tPohfyQgf06UHwgoCRAAlXS7bOz8eZb8983yO9j8zd/8h4DzwTZs2LCuIvHXv/619euu/C3P/BQ0f74tf/an1i869GVuX7/6zKEv/zowf9A9f0s6/4HcFf8Yco1N0heH/HnZ/EWQ/A3Q/NmvHJTyr0Jr+jMgeX2retqdA1/+Q+F5f+Q3ifmb8vmMyH9FIP9quKafJhzy30rMfy4pfykq74tDDjmk9W3o2n4NXpOvtayFAFiLk6wDAhCAAAQgAAEINCRAAGwIijIIQAACEIAABCBQCwECYC1Osg4IQAACEIAABCDQkAABsCEoyiAAAQhAAAIQgEAtBAiAtTjJOiAAAQhAAAIQgEBDAgTAhqAogwAEIAABCEAAArUQIADW4iTrgAAEIAABCEAAAg0JEAAbgqIMAhCAAAQgAAEI1EKAAFiLk6wDAhCAAAQgAAEINCRAAGwIijIIQAACEIAABCBQCwECYC1Osg4IQAACEIAABCDQkAABsCEoyiAAAQhAAAIQgEAtBAiAtTjJOiAAAQhAAAIQgEBDAgTAhqAogwAEIAABCEAAArUQIADW4iTrgAAEIAABCEAAAg0JEAAbgqIMAhCAAAQgAAEI1EKAAFiLk6wDAhCAAAQgAAEINCRAAGwIijIIQAACEIAABCBQCwECYC1Osg4IQAACEIAABCDQkAABsCEoyiAAAQhAAAIQgEAtBAiAtTjJOiAAAQhAAAIQgEBDAgTAhqAogwAEIAABCEAAArUQIADW4iTrgAAEIAABCEAAAg0JEAAbgqIMAhCAAAQgAAEI1EKAAFiLk6wDAhCAAAQgAAEINCRAAGwIijIIQAACEIAABCBQCwECYC1Osg4IQAACEIAABCDQkAABsCEoyiAAAQhAAAIQgEAtBAiAtTjJOiAAAQhAAAIQgEBDAv8HS9XfXCustCUAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(28, 28)\n"
     ]
    },
    {
     "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",
       "        fig.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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showImg(10, dicClases[y_train[10][0]], x_train)\n",
    "showImg(11, dicClases[y_train[11][0]], x_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Countplot:\n",
    "\n",
    "Number of images of each class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "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",
       "        fig.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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (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=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a762728ac8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,5))\n",
    "plt.title('Images of each class')\n",
    "sns.countplot(x='label', data=dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification\n",
    "\n",
    "Preparing y_train with FC output shape:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21000, 10)\n",
      "[[5]\n",
      " [9]]\n",
      "[[0 0 0 0 0 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0 0 1]]\n",
      "(21000, 10)\n"
     ]
    }
   ],
   "source": [
    "y_train = y_train.reshape(y_train.shape[0], 1)\n",
    "y_train_multiclass = np.zeros((y_train.shape[0], len(dicClases.items())), dtype=int)\n",
    "\n",
    "print(y_train_multiclass.shape)\n",
    "\n",
    "for i, yv in enumerate(y_train):\n",
    "    y_train_multiclass[i][yv] = 1\n",
    "    \n",
    "print(y_train[0:2])\n",
    "\n",
    "print(y_train_multiclass[0:2])\n",
    "\n",
    "print(y_train_multiclass.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change input data to 2D shape to apply convolutions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def oneToTwo(imgs):\n",
    "    \n",
    "    size = int(math.sqrt(imgs.shape[1]))\n",
    "    \n",
    "    output = np.zeros((imgs.shape[0], size, size))\n",
    "    \n",
    "    for i,im in enumerate(imgs):\n",
    "        output[i] = np.reshape(imgs[i], (size,size))\n",
    "        \n",
    "    return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21000, 784) (21000, 784)\n",
      "(21000, 28, 28) (21000, 28, 28)\n"
     ]
    }
   ],
   "source": [
    "print(x_train.shape, x_test.shape)\n",
    "\n",
    "x_train = oneToTwo(x_train)\n",
    "x_test = oneToTwo(x_test)\n",
    "\n",
    "print(x_train.shape, x_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train the model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainModel = True\n",
    "exportModel = False\n",
    "\n",
    "mpath = 'exportedModels/'\n",
    "mfilename = 'digitsMNIST_CNN'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training started with 21000 samples\n",
      "\n",
      "Epoch 1/15 completed\n",
      "--- Epoch loss: 0.0136\n",
      "\n",
      "Epoch 2/15 completed\n",
      "--- Epoch loss: 0.0071\n",
      "\n",
      "Epoch 3/15 completed\n",
      "--- Epoch loss: 0.0054\n",
      "\n",
      "Epoch 4/15 completed\n",
      "--- Epoch loss: 0.0046\n",
      "\n",
      "Epoch 5/15 completed\n",
      "--- Epoch loss: 0.0041\n",
      "\n",
      "Epoch 6/15 completed\n",
      "--- Epoch loss: 0.0037\n",
      "\n",
      "Epoch 7/15 completed\n",
      "--- Epoch loss: 0.0032\n",
      "\n",
      "Epoch 8/15 completed\n",
      "--- Epoch loss: 0.0033\n",
      "\n",
      "Epoch 9/15 completed\n",
      "--- Epoch loss: 0.0028\n",
      "\n",
      "Epoch 10/15 completed\n",
      "--- Epoch loss: 0.0027\n",
      "\n",
      "Epoch 11/15 completed\n",
      "--- Epoch loss: 0.0014\n",
      "\n",
      "Epoch 12/15 completed\n",
      "--- Epoch loss: 0.0007\n",
      "\n",
      "Epoch 13/15 completed\n",
      "--- Epoch loss: 0.0003\n",
      "\n",
      "Epoch 14/15 completed\n",
      "--- Epoch loss: 0.0002\n",
      "\n",
      "Epoch 15/15 completed\n",
      "--- Epoch loss: 0.0001\n",
      "\n",
      "\n",
      "Training finished\n",
      "\n",
      "\n",
      "Time in seconds:  675.730158\n"
     ]
    }
   ],
   "source": [
    "if trainModel:\n",
    "    \n",
    "    clf = ConvNetAbel(nEpochs=15, convFilters=[16], convStride=[2], convFilterSizes=3,\n",
    "                      hidden=[25], learningRate=0.9, debugLevel=2,\n",
    "                      showLogs=False, activationFunction='relu', learningRateConv=0.1,\n",
    "                      verbose=True, pre_norm=True, iterationDrop=0.8,\n",
    "                      kernel_initializer='xavier_normal', batch_size=1)\n",
    "\n",
    "    start = timer()\n",
    "    clf.fit(x_train[0:, :, :], y_train_multiclass[0:, :])\n",
    "    end = timer()\n",
    "    print('Time in seconds: ', end - start)\n",
    "    \n",
    "else:\n",
    "    \n",
    "    clf = ConvNetAbel()\n",
    "    clf.importModel(mpath, mfilename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "if exportModel:\n",
    "    clf.exportModel(mpath, mfilename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predict probabilities of x_test items:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "probabs = clf.predict_proba(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21000, 10)\n"
     ]
    }
   ],
   "source": [
    "print(probabs.shape)\n",
    "probabs_results = np.argmax(probabs, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Confusion matrix of classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "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",
       "        fig.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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (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=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(9,9))\n",
    "\n",
    "cmMT = confusion_matrix(y_test[:, 0], probabs_results, normalize=None)\n",
    "cmd = ConfusionMatrixDisplay(cmMT, display_labels=dicClases.values())\n",
    "cmd = cmd.plot(include_values=True, cmap='Blues', ax=ax, xticks_rotation='horizontal')\n",
    "\n",
    "plt.title(\"Classification of Digits MNIST images\")\n",
    "plt.tick_params(axis=u'both', which=u'both',length=0)\n",
    "plt.grid(b=None)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accuracy score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.9587 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "acc = accuracy_score(y_test, probabs_results)\n",
    "print('Accuracy:', round(acc,4), '\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mean error in the final layer during training, shown for each of the 10 different classes (see legend):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "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",
       "        fig.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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (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": [
    "clf.plot_mean_error_last_layer(dicClases.values(), byClass=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mean error in the final layer during training, averaged over the 10 neurons in the final layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "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",
       "        fig.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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (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"
    }
   ],
   "source": [
    "clf.plot_mean_error_last_layer(dicClases.values(), byClass=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}