bayesian_inference_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example linear regression model using Bayesian inference\n",
    "\n",
    "A linear regression model is defined as\n",
    "\n",
    "$$\n",
    "y_t \\sim N(\\beta_0 + \\beta_1 x, \\sigma^2)\n",
    "$$\n",
    "where $y_t$ is the modelled quantity of interest (TSS), x is the predictor variable (NTU), $\\beta_0$, $\\beta_1$, and $\\sigma$ are unknown quantities that we wish to infer. $N(\\mu,\\sigma^2)$ represents a normal distribution with a mean, $\\mu$ and standard deviation, $\\sigma$. The linear regression model is the mean process. The inference is performed using an MCMC sampler with `pymc3`.\n",
    "\n",
    "PyMC3 uses Bayesian statistics to find distributions on model parameters i.e.,\n",
    "$$\n",
    "p(parameters | data) \\propto p(data | parameters) \\times p(parameters)\n",
    "$$\n",
    "In words this says the probability of the parameters given the data (the posterior distribution) is proportional to the probability of the data given the model parameters (the likelihood) times the probability of the parameters (the prior belief).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymc3 as pm\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "import seaborn as sns\n",
    "\n",
    "from theano import shared"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Bottle_conc</th>\n",
       "      <th>LISST_conc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>43.870968</td>\n",
       "      <td>174.562467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>27.227414</td>\n",
       "      <td>60.514467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.333333</td>\n",
       "      <td>25.576267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.518797</td>\n",
       "      <td>25.401767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.816327</td>\n",
       "      <td>82.618767</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Bottle_conc  LISST_conc\n",
       "0    43.870968  174.562467\n",
       "1    27.227414   60.514467\n",
       "2     6.333333   25.576267\n",
       "3     7.518797   25.401767\n",
       "4    10.816327   82.618767"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the data\n",
    "infile = './In-situ_LISST_2031_RS2019.pkl'\n",
    "with open(infile,'rb') as f:\n",
    "    data = pickle.load(f)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* 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",
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       "\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",
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       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
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       "    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",
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       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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       "\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        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=\"639.5333333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2738f320>]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Scatter plot of the data\n",
    "x = data['Bottle_conc']\n",
    "y = data['LISST_conc']\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(x,y,'o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        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=\"699.6\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Use seaborn to make a fancy \"stats\" plot of the data\n",
    "g = sns.jointplot('Bottle_conc', 'LISST_conc', data=data, kind=\"reg\",\n",
    "                  xlim=(0, 50), ylim=(0, 200), color=\"c\", height=7)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [sigma, beta_1, beta_0]\n",
      "Sampling 4 chains: 100%|███████████████████████████████████████████████████████████████████████████████| 6000/6000 [00:04<00:00, 1240.18draws/s]\n",
      "There were 2 divergences after tuning. Increase `target_accept` or reparameterize.\n",
      "There was 1 divergence after tuning. Increase `target_accept` or reparameterize.\n"
     ]
    }
   ],
   "source": [
    "# Convert the import data from numpy to theano.tensor types\n",
    "yin = shared(y.values)\n",
    "xin = shared(x.values)\n",
    "\n",
    "with pm.Model() as model:\n",
    "    \n",
    "    # Define the priors on the parameters i.e., p(parameters)\n",
    "    beta_0 = pm.TruncatedNormal('beta_0',mu=0,sigma=1,lower=0) # Intercept with lower bound\n",
    "    beta_1 = pm.Normal('beta_1',3,3) # Slope \n",
    "    sigma = pm.HalfNormal('sigma',5)\n",
    "    \n",
    "    # DEfine the mean function (linear regression)\n",
    "    mu = beta_0 + beta_1*xin\n",
    "    #mu = beta_1*xin # No intercept model\n",
    "\n",
    "    \n",
    "    # Define the model for the likelihood i.e., p(data | parameters) (this is where we input the data)\n",
    "    y_t = pm.Normal('y_t',mu, sigma, observed=yin)\n",
    "    #y_t = pm.Gamma('y_t',mu=mu, sd=sigma, observed=yin)\n",
    "\n",
    "    # Do the inference\n",
    "    trace = pm.sample(500, tune=1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        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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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>mc_error</th>\n",
       "      <th>hpd_2.5</th>\n",
       "      <th>hpd_97.5</th>\n",
       "      <th>n_eff</th>\n",
       "      <th>Rhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>beta_1</th>\n",
       "      <td>3.520312</td>\n",
       "      <td>0.277170</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>2.982687</td>\n",
       "      <td>4.055218</td>\n",
       "      <td>857.122972</td>\n",
       "      <td>1.000709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_0</th>\n",
       "      <td>6.795890</td>\n",
       "      <td>2.876268</td>\n",
       "      <td>0.095434</td>\n",
       "      <td>1.179326</td>\n",
       "      <td>12.418315</td>\n",
       "      <td>827.829564</td>\n",
       "      <td>1.000139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sigma</th>\n",
       "      <td>14.068083</td>\n",
       "      <td>1.515698</td>\n",
       "      <td>0.046928</td>\n",
       "      <td>11.191016</td>\n",
       "      <td>16.912048</td>\n",
       "      <td>1192.923189</td>\n",
       "      <td>0.999849</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             mean        sd  mc_error    hpd_2.5   hpd_97.5        n_eff  \\\n",
       "beta_1   3.520312  0.277170  0.009081   2.982687   4.055218   857.122972   \n",
       "beta_0   6.795890  2.876268  0.095434   1.179326  12.418315   827.829564   \n",
       "sigma   14.068083  1.515698  0.046928  11.191016  16.912048  1192.923189   \n",
       "\n",
       "            Rhat  \n",
       "beta_1  1.000709  \n",
       "beta_0  1.000139  \n",
       "sigma   0.999849  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#plots on the left show the posterior distributions of each unknown parameter\n",
    "# Plots on the right are trace plots - they should jump around when the mcmc sampling is working\n",
    "pm.traceplot(trace)\n",
    "# Summary prints out the details about each parameter\n",
    "# n_eff and Rhat indicate how well the mcmc went\n",
    "pm.summary(trace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        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=\"2207.4500000000003\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x0000000032427048>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x00000000325CDB38>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x00000000325E7BA8>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.plot_posterior(trace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 500/500 [00:04<00:00, 100.14it/s]\n"
     ]
    }
   ],
   "source": [
    "# Get some estimates of new data\n",
    "xnew = np.linspace(0,50,100)\n",
    "\n",
    "# Set the value of xin to do a prediction on new values \n",
    "xin.set_value(xnew)\n",
    "with model:\n",
    "    ppc = pm.sample_posterior_predictive(trace,samples=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 100)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ppc['y_t'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        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=\"639.5333333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'LISST')"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plot the mean and 99% credible intervals of the prediction\n",
    "y_mean = np.mean(ppc['y_t'],axis=0)\n",
    "y_min = np.percentile(ppc['y_t'],0.5,axis=0)\n",
    "y_max = np.percentile(ppc['y_t'],99.5,axis=0)\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(xnew,y_mean,'k--')\n",
    "plt.fill_between(xnew,y_min,y2=y_max,color='0.5')\n",
    "plt.plot(x,y,'ro')\n",
    "plt.xlabel('Bottle')\n",
    "plt.ylabel('LISST')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define a model with zero lower bound\n",
    "\n",
    "This is achieved using a positive definite distribution for the likelihood e.g., lognormal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}