Workshop 1 - Time Series Exploratory Analysis.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Time Series Exploratory Analysis\n",
    "\n",
    "In this workshop, work with a partner or small group to identify the characteristics of the following time series datasets. Consider the following questions as you work through the visualizations:\n",
    "\n",
    "1. Are there any characteristics or structures of the series that might enhance analytics?\n",
    "2. What kind of analyses to these datasets lend themselves to?\n",
    "3. Are there different categories of time series data?\n",
    "4. What high level descriptions would you give each data set?\n",
    "\n",
    "Note that you should write code and modify the visualization, interacting with it how you see fit to understand each dataset more fully."
   ]
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  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from ipywidgets import interact"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sunshine\n",
    "\n",
    "Contains PMU (phase measurement unit) data for a single phase on a bus that includes photovoltaic power generation (solar power). The purpose of this dataset is to detect anomalies that appear as voltage sags that occur due to drops of power thanks to cloud cover, equipment failure, or operational changes.\n",
    "\n",
    "Note this is a fairly large dataset and may take a few seconds to load and plot. You can use the `nrows` parameter of `read_csv` to make the dataset smaller if you're having trouble visualizing or interacting with the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\n",
    "    \"datasets/sunshine/sunshine.csv.gz\", \n",
    "    names=['ns', 'timestamp', 'volts'], \n",
    "    index_col='timestamp', \n",
    "    parse_dates=True, \n",
    "    header=0,\n",
    "    usecols=['timestamp', 'volts'],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [
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       "\n",
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       "\n",
       "\n",
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       "    };\n",
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       "\n",
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       "\n",
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       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
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       "    var cursor = msg['cursor'];\n",
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       "        cursor = 'pointer';\n",
       "        break;\n",
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       "        break;\n",
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       "        break;\n",
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       "\n",
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       "\n",
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       "\n",
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       "// A function to construct a web socket function for onmessage handling.\n",
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       "    return function socket_on_message(evt) {\n",
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       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11c324a90>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EKG\n",
    "\n",
    "An EKG measures the voltage across the heart, which corresponds to the polarization of muscle tissue that makes it contract. Certain periodicities are expected — for example, a regular heartbeat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\n",
    "    \"datasets/ekg/ekg.csv.gz\", \n",
    "    names=['ns', 'timestamp', 's0016lre_i'], \n",
    "    index_col='timestamp', \n",
    "    parse_dates=True, \n",
    "    header=0,\n",
    "    usecols=['timestamp', 's0016lre_i'],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x143815e80>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retail\n",
    "\n",
    "You are provided with historical sales data for 45 stores located in different regions - each store contains a number of departments. The company also runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\n",
    "    \"datasets/retail/sales.csv.gz\", \n",
    "    names=['store', 'dept', 'date', 'sales', 'holiday'], \n",
    "    index_col='date', \n",
    "    parse_dates=True, \n",
    "    header=0,\n",
    "    usecols=['date', 'dept', 'store', 'sales'],\n",
    ")\n",
    "\n",
    "df = df.groupby(['date', 'store'])['sales'].sum().unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x14f96e978>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stocks\n",
    "\n",
    "Contains 13 years of daily stock data from 2006-01-01 to 2018-01-01 from the Dow Jones Industrial Average index companies. The files `all_stocks.csv` and the subset `all_stocks_2017.csv` contain all records while the files `[SYM].csv` contain the records for an individual company by their stock ticker name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\n",
    "    \"datasets/stocks/all_stocks.csv.gz\", \n",
    "    names=['date', 'open', 'high', 'low', 'close', 'volume', 'name'], \n",
    "    index_col='date', \n",
    "    parse_dates=True, \n",
    "    header=0,\n",
    "    usecols=['date', 'close', 'name'],\n",
    ")\n",
    "\n",
    "df = df.pivot(columns='name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x14fe5e828>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['close'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Energy\n",
    "\n",
    "Energy consumption data for predicting usage based on weather."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\n",
    "    \"datasets/energy/nyc_energy.csv.gz\", \n",
    "    names=['timestamp', 'demand', 'precip', 'temp'], \n",
    "    index_col='timestamp', \n",
    "    parse_dates=True, \n",
    "    header=0,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, axes = plt.subplots(nrows=3, sharex=True)\n",
    "for i, col in enumerate(['demand', 'precip', 'temp']):\n",
    "    df[col].plot(ax=axes[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Occupancy\n",
    "\n",
    "Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\n",
    "    \"datasets/occupancy/training.csv.gz\", \n",
    "    names=['id', 'timestamp', 'temp', 'humidity', 'light', 'co2', 'humidity_ratio', 'occupancy'], \n",
    "    index_col='timestamp', \n",
    "    parse_dates=True, \n",
    "    header=0,\n",
    "    usecols=['timestamp', 'temp', 'humidity', 'light', 'co2', 'occupancy'],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, axes = plt.subplots(nrows=5, sharex=True)\n",
    "for i, col in enumerate(['temp', 'humidity', 'light', 'co2', 'occupancy']):\n",
    "    df[col].plot(ax=axes[i])"
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}