{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calibration of a detector on a translation table\n",
    "\n",
    "The aim of this document is to explain how to use pyFAI.goniometer for calibrating the position detector from the translation table encoders.\n",
    "\n",
    "Those data have been acquired at ESRF-ID29 in summer 2013 on a Pilatus 6M using Ceria (CeO2) as calibrant.\n",
    "Seven images have been acquired with the detector moved between 15 cm and 45 cm from the sample position.\n",
    "A prior calibration has been performed using the *MX-calibrate* script from the pyFAI suite. \n",
    "The control points extracted during this initial calibration have been used as a starting point for this calibration.\n",
    "\n",
    "The raw data files are available at:\n",
    "http://www.silx.org/pub/pyFAI/gonio/MX-ceria/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# Initialization of the plotting library for use in the Jupyter notebook\n",
    "\n",
    "%pylab nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mntdirect/_scisoft/users/jupyter/jupy35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PyFAI version: 0.15.0-beta4\n"
     ]
    }
   ],
   "source": [
    "# Loading of a few libraries\n",
    "\n",
    "import time\n",
    "start_time =time.time()\n",
    "import os\n",
    "import fabio\n",
    "import pyFAI\n",
    "from  pyFAI.goniometer import GeometryTransformation, GoniometerRefinement, Goniometer\n",
    "from pyFAI.gui import jupyter\n",
    "\n",
    "print(\"PyFAI version:\", pyFAI.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MX_ceria\n",
      "ceria_300_1_0001.npt\n",
      "ceria_150_1_0001.cbf\n",
      "ceria_200_1_0001.npt\n",
      "ceria_250_1_0001.cbf\n",
      "ceria_250_1_0001.npt\n",
      "ceria_400_1_0001.cbf\n",
      "ceria_400_1_0001.npt\n",
      "ceria_450_1_0001.cbf\n",
      "ceria_150_1_0001.poni\n",
      "ceria_150_1_0001.npt\n",
      "ceria_200_1_0001.poni\n",
      "ceria_350_1_0001.poni\n",
      "ceria_300_1_0001.cbf\n",
      "ceria_450_1_0001.npt\n",
      "ceria_250_1_0001.poni\n",
      "ceria_350_1_0001.cbf\n",
      "ceria_350_1_0001.npt\n",
      "ceria_400_1_0001.poni\n",
      "ceria_450_1_0001.poni\n",
      "ceria_200_1_0001.cbf\n",
      "ceria_300_1_0001.poni\n"
     ]
    }
   ],
   "source": [
    "#Download all images\n",
    "#Nota: comment-out when running outside ESRF\n",
    "os.environ[\"http_proxy\"] = \"http://proxy.esrf.fr:3128\"\n",
    "from silx.resources import ExternalResources\n",
    "downloader = ExternalResources(\"pyFAI\", \"http://www.silx.org/pub/pyFAI/testimages\", \"PYFAI_DATA\")\n",
    "all_files = downloader.getdir(\"MX_ceria.tar.bz2\")\n",
    "print(os.linesep.join(os.path.basename(i) for i in all_files))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of images: /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_150_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_200_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_250_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_300_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_350_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_400_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_450_1_0001.cbf.\n",
      "\n",
      "Image headers:\n",
      "_array_data.header_contents: # Detector: PILATUS 6M, S/N 60-0104, ESRF ID29\r\n",
      "# 2013/Aug/29 17:26:59.699\r\n",
      "# Pixel_size 172e-6 m x 172e-6 m\r\n",
      "# Silicon sensor, thickness 0.000320 m\r\n",
      "# Start_angle 0.000000 deg.\r\n",
      "# Exposure_time 0.037000 s\r\n",
      "# Exposure_period 0.040000 s\r\n",
      "# Tau = 0 s\r\n",
      "# Count_cutoff 1048500\r\n",
      "# Threshold_setting 7612 eV\r\n",
      "# N_excluded_pixels = 321\r\n",
      "# Excluded_pixels:  badpix_mask.tif\r\n",
      "# Flat_field:  (nil)\r\n",
      "# Trim_directory: (nil)\r\n",
      "# Wavelength 0.972386 A\r\n",
      "# Detector_distance 0.150000 m\r\n",
      "# Energy_range (0, 0) eV\r\n",
      "# Detector_Voffset 0.0000 m\r\n",
      "# Beam_xy (1230.90, 1254.09) pixels\r\n",
      "# Flux 2.823146e+11 ph/s\r\n",
      "# Transmission 20.1173\r\n",
      "# Angle_increment 1.0000 deg.\r\n",
      "# Detector_2theta 0.0000 deg.\r\n",
      "# Polarization 0.99\r\n",
      "# Alpha 0.0000 deg.\r\n",
      "# Kappa 0.0020 deg.\r\n",
      "# Phi 0.0000 deg.\r\n",
      "# Chi 0.0000 deg.\r\n",
      "# Oscillation_axis omega\r\n",
      "# N_oscillations 1\r\n",
      "# file_comments\n",
      "Content-Type: application/octet-stream;\n",
      "conversions: x-CBF_BYTE_OFFSET\n",
      "Content-Transfer-Encoding: BINARY\n",
      "X-Binary-Size: 6262451\n",
      "X-Binary-ID: 0\n",
      "X-Binary-Element-Type: signed 32-bit integer\n",
      "X-Binary-Element-Byte-Order: LITTLE_ENDIAN\n",
      "Content-MD5: BIfsFrKJBFklJn97/hjO/A==\n",
      "X-Binary-Number-of-Elements: 6224001\n",
      "X-Binary-Size-Fastest-Dimension: 2463\n",
      "X-Binary-Size-Second-Dimension: 2527\n",
      "X-Binary-Size-Padding: 128\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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7f64933f60>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading of the list of files, and display of the first one with its headers\n",
    "\n",
    "image_files = [i for i in all_files if i.endswith(\".cbf\")]\n",
    "image_files.sort()\n",
    "print(\"List of images: \" + \", \".join(image_files) + \".\" + os.linesep)\n",
    "fimg = fabio.open(image_files[0])\n",
    "\n",
    "print(\"Image headers:\")\n",
    "for key, value in  fimg.header.items():\n",
    "    print(\"%s: %s\"%(key,value))\n",
    "    \n",
    "jupyter.display(fimg.data, label=os.path.basename(fimg.filename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance: 0.15\n"
     ]
    }
   ],
   "source": [
    "# Definition of the geometry translation function:\n",
    "\n",
    "geotrans = GeometryTransformation(param_names = [\"dist_offset\", \"dist_scale\", \n",
    "                                                 \"poni1\", \"poni2\", \"rot1\",\"rot2\"],\n",
    "                                  dist_expr=\"pos * dist_scale + dist_offset\", \n",
    "                                  poni1_expr=\"poni1\",\n",
    "                                  poni2_expr=\"poni2\", \n",
    "                                  rot1_expr=\"rot1\", \n",
    "                                  rot2_expr=\"rot2\", \n",
    "                                  rot3_expr=\"0.0\")\n",
    "\n",
    "\n",
    "# Definition of the function reading the detector position from the header of the image.\n",
    "\n",
    "def get_distance(header):\n",
    "    \"\"\"Takes the header of the CBF-file and returns the distance of the detector\"\"\"\n",
    "    dist = 0\n",
    "    for line in header.get(\"_array_data.header_contents\",\"\").split(\"\\n\"):\n",
    "        words = line.split()\n",
    "        if words[1] == \"Detector_distance\":\n",
    "            dist = float(words[2])\n",
    "            break\n",
    "    return dist\n",
    "\n",
    "print(\"Distance:\",get_distance(fimg.header))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wavelength: 9.72386e-11\n",
      "CeO2 Calibrant at wavelength 9.72386e-11\n"
     ]
    }
   ],
   "source": [
    "# Definition of the detector, the calibrant and extraction of the wavelength used from the headers\n",
    "\n",
    "pilatus = pyFAI.detector_factory(\"Pilatus6M\")\n",
    "CeO2 = pyFAI.calibrant.get_calibrant(\"CeO2\")\n",
    "for line in fimg.header.get(\"_array_data.header_contents\",\"\").split(\"\\n\"):\n",
    "    words = line.split()\n",
    "    if words[1] == \"Wavelength\":\n",
    "        wavelength = float(words[2])*1e-10\n",
    "        break\n",
    "print(\"Wavelength:\", wavelength)\n",
    "CeO2.wavelength = wavelength\n",
    "print(CeO2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty refinement object:\n",
      "GoniometerRefinement with 0 geometries labeled: .\n"
     ]
    }
   ],
   "source": [
    "# Definition of the geometry refinement: the parameter order is the same as the param_names\n",
    "\n",
    "param = {\"dist_offset\":0, \n",
    "         \"dist_scale\":1,\n",
    "         \"poni1\":0.2, \n",
    "         \"poni2\":0.2, \n",
    "         \"rot1\":0,\n",
    "         \"rot2\":0}\n",
    "\n",
    "gonioref = GoniometerRefinement(param, #initial guess\n",
    "                                pos_function=get_distance,\n",
    "                                trans_function=geotrans,\n",
    "                                detector=pilatus,\n",
    "                                wavelength=wavelength)\n",
    "print(\"Empty refinement object:\")\n",
    "print(gonioref)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_150_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_200_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_250_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_300_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_350_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_400_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_450_1_0001.poni']\n",
      "Filled refinement object:\n",
      "GoniometerRefinement with 7 geometries labeled: ceria_150_1_0001, ceria_200_1_0001, ceria_250_1_0001, ceria_300_1_0001, ceria_350_1_0001, ceria_400_1_0001, ceria_450_1_0001.\n",
      "\n",
      "\tLabel \t Distance\n",
      "ceria_150_1_0001 0.15\n",
      "ceria_200_1_0001 0.2\n",
      "ceria_250_1_0001 0.25\n",
      "ceria_300_1_0001 0.3\n",
      "ceria_350_1_0001 0.35\n",
      "ceria_400_1_0001 0.4\n",
      "ceria_450_1_0001 0.45\n"
     ]
    }
   ],
   "source": [
    "# Let's populate the goniometer refinement object with all control point files:\n",
    "\n",
    "ponis = [i for i in all_files if i.endswith(\".poni\")]\n",
    "ponis.sort()\n",
    "print(ponis)\n",
    "for fn in ponis:\n",
    "    base = os.path.splitext(fn)[0]\n",
    "    fimg = fabio.open(base + \".cbf\")\n",
    "    gonioref.new_geometry(os.path.basename(base), image=fimg.data, metadata=fimg.header, control_points=base+\".npt\",\n",
    "                          geometry=fn, calibrant=CeO2)\n",
    "\n",
    "print(\"Filled refinement object:\")\n",
    "print(gonioref)\n",
    "print(os.linesep+\"\\tLabel \\t Distance\")\n",
    "for k, v in gonioref.single_geometries.items():\n",
    "    print(k,v.get_position())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display all images with associated calibration:\n",
    "\n",
    "for sg in gonioref.single_geometries.values():\n",
    "    jupyter.display(sg=sg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 0.0016696847686478021\n",
      "[0.  1.  0.2 0.2 0.  0. ]\n",
      "     fun: 5.119380332305786e-07\n",
      "     jac: array([ 1.15391134e-06,  3.42232518e-07,  8.12187508e-08,  5.02958954e-08,\n",
      "       -7.17333108e-08, -1.11380416e-07])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 148\n",
      "     nit: 18\n",
      "    njev: 18\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([-0.00118793,  1.00190471,  0.21548514,  0.21309905,  0.00661241,\n",
      "        0.00280329])\n",
      "Cost function after refinement: 5.119380332305786e-07\n",
      "GonioParam(dist_offset=-0.0011879346168350165, dist_scale=1.0019047069128337, poni1=0.21548513632286356, poni2=0.21309905130025622, rot1=0.006612408563694155, rot2=0.0028032884877561815)\n",
      "maxdelta on: poni1 (2) 0.2 --> 0.21548513632286356\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([-0.00118793,  1.00190471,  0.21548514,  0.21309905,  0.00661241,\n",
       "        0.00280329])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initial refinement of the translation table model\n",
    "\n",
    "gonioref.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"content\": \"Goniometer calibration v1.1\",\n",
      "  \"detector\": \"Pilatus 6M\",\n",
      "  \"pixel1\": 0.000172,\n",
      "  \"pixel2\": 0.000172,\n",
      "  \"wavelength\": 9.72386e-11,\n",
      "  \"param\": [\n",
      "    -0.0011879346168350165,\n",
      "    1.0019047069128337,\n",
      "    0.21548513632286356,\n",
      "    0.21309905130025622,\n",
      "    0.006612408563694155,\n",
      "    0.0028032884877561815\n",
      "  ],\n",
      "  \"param_names\": [\n",
      "    \"dist_offset\",\n",
      "    \"dist_scale\",\n",
      "    \"poni1\",\n",
      "    \"poni2\",\n",
      "    \"rot1\",\n",
      "    \"rot2\"\n",
      "  ],\n",
      "  \"pos_names\": [\n",
      "    \"pos\"\n",
      "  ],\n",
      "  \"trans_function\": {\n",
      "    \"content\": \"GeometryTransformation\",\n",
      "    \"param_names\": [\n",
      "      \"dist_offset\",\n",
      "      \"dist_scale\",\n",
      "      \"poni1\",\n",
      "      \"poni2\",\n",
      "      \"rot1\",\n",
      "      \"rot2\"\n",
      "    ],\n",
      "    \"pos_names\": [\n",
      "      \"pos\"\n",
      "    ],\n",
      "    \"dist_expr\": \"pos * dist_scale + dist_offset\",\n",
      "    \"poni1_expr\": \"poni1\",\n",
      "    \"poni2_expr\": \"poni2\",\n",
      "    \"rot1_expr\": \"rot1\",\n",
      "    \"rot2_expr\": \"rot2\",\n",
      "    \"rot3_expr\": \"0.0\",\n",
      "    \"constants\": {\n",
      "      \"pi\": 3.141592653589793\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# Save the result of the fitting to a file and display the content of the JSON file:\n",
    "\n",
    "gonioref.save(\"ID29.json\")\n",
    "with open(\"ID29.json\") as fd:\n",
    "    print(fd.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Translation table: \n",
      " Goniometer with param GonioParam(dist_offset=-0.0011879346168350165, dist_scale=1.0019047069128337, poni1=0.21548513632286356, poni2=0.21309905130025622, rot1=0.006612408563694155, rot2=0.0028032884877561815)    \n",
      " with Detector Pilatus 6M\t PixelSize= 1.720e-04, 1.720e-04 m\n"
     ]
    }
   ],
   "source": [
    "# Restore the translation table setting from the file\n",
    "\n",
    "transtable = Goniometer.sload(\"ID29.json\")\n",
    "print(\"Translation table: \\n\",transtable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distances:  [0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45]\n",
      "MultiGeometry integrator with 7 geometries on (0, 65) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    }
   ],
   "source": [
    "# Create a multi-geometry object for all images in this set:\n",
    "\n",
    "distances = [get_distance(fabio.open(fn).header) for fn in image_files]\n",
    "print(\"Distances: \", distances)\n",
    "multigeo = transtable.get_mg(distances)\n",
    "multigeo.radial_range=(0, 65)\n",
    "print(multigeo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Zoom on the two first rings')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Integrate the set of images in a single run:\n",
    "\n",
    "res = multigeo.integrate1d([fabio.open(fn).data for fn in image_files], 10000)\n",
    "\n",
    "# Display the result using matplotlib\n",
    "fig, ax = subplots()\n",
    "ax.plot(*res)\n",
    "ax.set_xlabel(res.unit.label)\n",
    "ax.set_ylabel(\"Intensity\")\n",
    "ax.set_xlim(17, 22)\n",
    "ax.set_title(\"Zoom on the two first rings\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Accoring to the provious image, peaks look double which indicates a bad modeling of the setup or a bad fitting.\n",
    "As the fitting ended successfully, the bug is likely in the model: let's allow the PONI to move with the distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GoniometerRefinement with 7 geometries labeled: ceria_150_1_0001, ceria_200_1_0001, ceria_250_1_0001, ceria_300_1_0001, ceria_350_1_0001, ceria_400_1_0001, ceria_450_1_0001.\n"
     ]
    }
   ],
   "source": [
    "# Let's refine poni1 and poni2 also as function of the distance:\n",
    "\n",
    "geotrans2 = GeometryTransformation(param_names = [\"dist_offset\", \"dist_scale\", \n",
    "                                                  \"poni1_offset\", \"poni1_scale\",\n",
    "                                                  \"poni2_offset\", \"poni2_scale\",\n",
    "                                                  \"rot1\",\"rot2\"],\n",
    "                         dist_expr=\"pos * dist_scale + dist_offset\", \n",
    "                         poni1_expr=\"pos * poni1_scale + poni1_offset\",\n",
    "                         poni2_expr=\"pos * poni2_scale + poni2_offset\", \n",
    "                         rot1_expr=\"rot1\", \n",
    "                         rot2_expr=\"rot2\", \n",
    "                         rot3_expr=\"0.0\")\n",
    "\n",
    "#initial guess from former parameter set\n",
    "param2 = (gonioref.nt_param(*gonioref.param))._asdict()\n",
    "param2[\"poni1_offset\"] = 0\n",
    "param2[\"poni2_offset\"] = 0\n",
    "param2[\"poni1_scale\"] = 1\n",
    "param2[\"poni2_scale\"] = 1\n",
    "\n",
    "gonioref2 = GoniometerRefinement(param2, \n",
    "                                 pos_function = get_distance,\n",
    "                                 trans_function=geotrans2,\n",
    "                                 detector=pilatus,\n",
    "                                 wavelength=wavelength)\n",
    "gonioref2.single_geometries = gonioref.single_geometries.copy()\n",
    "print(gonioref2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 0.0436448742038728\n",
      "[-0.00118793  1.00190471  0.          1.          0.          1.\n",
      "  0.00661241  0.00280329]\n",
      "     fun: 1.6219985734095963e-07\n",
      "     jac: array([ 5.32203334e-07,  8.74259651e-08,  1.65541284e-07,  1.80203088e-08,\n",
      "       -2.92971960e-07, -7.38352171e-08,  8.45052259e-08, -1.73616019e-08])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 344\n",
      "     nit: 34\n",
      "    njev: 34\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([-0.00118686,  1.00184287,  0.21574533, -0.00429667,  0.21300993,\n",
      "        0.00138094,  0.00735187,  0.00492121])\n",
      "Cost function after refinement: 1.6219985734095963e-07\n",
      "GonioParam(dist_offset=-0.0011868649101713345, dist_scale=1.001842873699192, poni1_offset=0.21574533063003315, poni1_scale=-0.004296673893756173, poni2_offset=0.21300993413734415, poni2_scale=0.0013809412057720382, rot1=0.007351867554329549, rot2=0.004921206646507187)\n",
      "maxdelta on: poni1_scale (3) 1 --> -0.004296673893756173\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([-0.00118686,  1.00184287,  0.21574533, -0.00429667,  0.21300993,\n",
       "        0.00138094,  0.00735187,  0.00492121])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Refinement of the second model with all distances free\n",
    "\n",
    "gonioref2.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 7 geometries on (0, 65) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7ef3189d30>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Integration of all images with the second model\n",
    "\n",
    "multigeo2 = gonioref2.get_mg(distances)\n",
    "multigeo2.radial_range=(0, 65)\n",
    "print(multigeo2)\n",
    "res2 = multigeo2.integrate1d([fabio.open(fn).data for fn in image_files], 10000)\n",
    "\n",
    "# Display the result, zooming on the two first rings\n",
    "fig, ax = subplots()\n",
    "ax.plot(*res)\n",
    "ax.plot(*res, label=\"only distance free\")\n",
    "ax.plot(*res2, label=\"distance and PONI free\")\n",
    "ax.set_ylabel(\"Intensity\")\n",
    "ax.set_xlim(17, 22)\n",
    "ax.set_title(\"Zoom on the two first rings\")\n",
    "ax.set_xlabel(res2.unit.label)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": {
      "text/html": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": [
    "# Re-extract many more control points from images for a better fit\n",
    "\n",
    "for sg in gonioref2.single_geometries.values():\n",
    "    sg.extract_cp(pts_per_deg=3)\n",
    "    jupyter.display(sg=sg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 5.4077966215164545e-08\n",
      "[-0.00118686  1.00184287  0.21574533 -0.00429667  0.21300993  0.00138094\n",
      "  0.00735187  0.00492121]\n",
      "     fun: 5.023210361443705e-08\n",
      "     jac: array([ 1.21352124e-08, -8.00487148e-08,  5.89649742e-08,  1.46119886e-07,\n",
      "        5.64269076e-08,  1.88667088e-07,  4.23456723e-07, -3.05899836e-07])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 123\n",
      "     nit: 12\n",
      "    njev: 12\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([-0.00120832,  1.0018246 ,  0.21574428, -0.00410148,  0.21301424,\n",
      "        0.00124612,  0.007263  ,  0.00480259])\n",
      "Cost function after refinement: 5.023210361443705e-08\n",
      "GonioParam(dist_offset=-0.0012083184636212986, dist_scale=1.0018246009025882, poni1_offset=0.21574427835603632, poni1_scale=-0.004101478766347032, poni2_offset=0.2130142429100579, poni2_scale=0.0012461185850109631, rot1=0.0072630000986370295, rot2=0.004802588778304468)\n",
      "maxdelta on: poni1_scale (3) -0.004296673893756173 --> -0.004101478766347032\n",
      "MultiGeometry integrator with 7 geometries on (0, 65) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7ef2be3828>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Refine again the model\n",
    "\n",
    "gonioref2.refine2()\n",
    "\n",
    "# Build the MultiGeometry integrator object\n",
    "\n",
    "multigeo3 = gonioref2.get_mg(distances)\n",
    "multigeo3.radial_range=(0, 65)\n",
    "print(multigeo3)\n",
    "\n",
    "# Perform the azimuthal integration\n",
    "res3 = multigeo3.integrate1d([fabio.open(fn).data for fn in image_files], 10000)\n",
    "\n",
    "# Display the result\n",
    "fig, ax = subplots()\n",
    "ax.plot(*res, label=\"only distance free\")\n",
    "ax.plot(*res2, label=\"distance and PONI free\")\n",
    "ax.plot(*res2, linestyle=\"--\", label=\"distance and PONI free, more points\")\n",
    "ax.set_xlabel(res2.unit.label)\n",
    "ax.set_xlim(17, 22)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "This re-extraction of control point did not help to get a sharper diffraction profile. This step was un-necessary.\n",
    "\n",
    "## Conclusion\n",
    "This notebook exposes the how to calibrate a translation table for a moving detector. It allows to:\n",
    "* Check the proper alignement of the table regarding the actual beam \n",
    "* Check the encoder's precision (usually good) and offsets (arbitrary)\n",
    "* Perform azimuthal integration to retrieve powder diffraction patterns at any position of the detector.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 105.815s\n"
     ]
    }
   ],
   "source": [
    "print(\"Total execution time: %.3fs\"%(time.time() - start_time))"
   ]
  }
 ],
 "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
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