The Moderating Influence Of The Western Atlantic

atlantic.ipynb

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    "## The Moderating Effect Of The Atlantic\n",
    "### A comparison of historical coastal temperatures in West Wales and the North Sea Coast \n",
    "\n",
    "I decided to do a comparison of historical temperature data in two areas of Western Europe. I live in Belgium, in the historic seaport of Antwerp, which reaches the North Sea via the River Schelde. I grew up in a beautiful area of West Wales that faces the Atlantic. As a kid I was told that because of this, the weather there is more moderate. The Atlantic currents apparently cause slightly less extreme temperatures. (It also gets very windy, but I don't look at that here.)\n",
    "\n",
    "Both regions are west-coast, but they face onto different seas. How does this affect their temperature? Does the Atlantic really exert a moderating influence, and if so, how great is it? Has that influence changed over the last decades?\n",
    "\n",
    "To find out I accessed two publicly available data sets. A lot of public weather data is computed using readings from many weather stations and then turned into a grid. But (because I am a bit of a nut about measurement methods in science) I decided to only take readings from two specific weather stations. After a bit of searching, I was able to find two datasets, both of which offer historical monthly data, one from near Antwerp and facing the North Sea, the other in West Wales and facing the Atlantic (and Irish Channel).\n",
    "\n",
    "#### Source Data\n",
    "\n",
    "For the UK, the Met Office makes data for **Aberporth** available as a single text file. Aberporth is a Welsh coastal village in the area where I grew up, and it faces the Atlantic (and Irish Channel) on the west coast of the UK.\n",
    "\n",
    "The data for Aberporth was downloaded from <a href=\"https://data.gov.uk/dataset/historic-monthly-meteorological-station-data\">here</a>\n",
    "\n",
    "The Dutch Met Office makes historical data for the port of **Vlissingen** available, again as a single text file, and this is what I decided to use. Vlissingen is another port on the mouth of the Schelde estuary, facing the North Sea.\n",
    "\n",
    "Data for Vlissingen is from <a href=\"https://www.knmi.nl/nederland-nu/klimatologie/maandgegevens\">here</a> (Dutch language link).\n",
    "\n",
    "(Thanks to the UK and Netherlands Met Offices for making this data freely available.)\n",
    "\n",
    "This map shows the location of the two weather stations. You can see that their positions have quite a lot of similarities. They are both on North-East facing coast (although Vlissingen actually faces south-west across the estuary mouth), and each is somewhat sheltered by a land mass (Ireland for Aberporth, England for Vlissingen). The main difference is the bodies of water that they are exposed to.\n",
    "\n",
    "<img src=\"http://www.mcbeetech.com/wp-content/uploads/2018/02/aberporth-vlissingen-map.jpg\"/>\n",
    "\n",
    "#### Data cleaning\n",
    "Both weather stations have monthly data as text files, but the format is quite different. Aberporth is one month per line, with max/min for the month, while Vlissingen is year per line with average for each month. So I needed to write two import routines to get the data into a common format. For Aberporth I also take the mean of max/min, which is not ideal, but the best I can do with the available info.\n",
    "\n",
    "My first task was to read the two files and make them into a consistent DataFrame with monthly readings for each location.\n"
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    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "\n",
    "start_year = 1950\n",
    "end_year = 2017\n",
    "\n",
    "def read_aberporth():\n",
    "    with open('aberporth.txt', 'r') as f:\n",
    "        ab = f.read().split(\"\\n\")\n",
    "    f.closed\n",
    "\n",
    "    # get data for aberporth\n",
    "    aberporth = []\n",
    "    for l in ab[:]:\n",
    "        words = l.split()\n",
    "        try:\n",
    "            year = int(words[0])\n",
    "            if (year >= start_year and year <= end_year):\n",
    "                month = int(words[1])\n",
    "                T_min = float(words[2])\n",
    "                T_max = float(words[3])\n",
    "                temp = ((T_min + T_max)/2)\n",
    "                y_m = \"{}/{}\".format(year, month)\n",
    "                #print(\"Aberporth {} : {}\".format(y_m, temp))\n",
    "                aberporth.append( (year, month, temp) )\n",
    "        except:\n",
    "            pass\n",
    "    return aberporth\n",
    "\n",
    "def read_vlissingen( df ):\n",
    "    with open('vlissingen.txt', 'r') as f:\n",
    "        vl = f.read().split(\"\\n\")\n",
    "    f.closed\n",
    "\n",
    "    #vlissingen = []\n",
    "    for l in vl[:]:\n",
    "        words = l.split(',')\n",
    "        if (words[0] == '310') :\n",
    "            year = int(words[1])\n",
    "            if (year >= start_year and year <= end_year):\n",
    "                for mp in range(2,14):\n",
    "                    m = mp -1\n",
    "                    temp = int(words[mp])/10\n",
    "                    #print(\"Vlissingen : {}, {}, {}\".format(year, m, temp))\n",
    "                    df.loc[year,m]['Vlissingen'] = temp\n",
    "\n",
    "aberporth = read_aberporth()\n",
    "df = pd.DataFrame(aberporth, columns = ['Y', 'M', 'Aberporth']).set_index(['Y', 'M'])\n",
    "df['Vlissingen'] = 0.0\n",
    "read_vlissingen(df)\n"
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    "Now that we have the DataFrame, we can take a first look at a plot of the data."
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       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl1 = df.plot(figsize=(10,4), alpha=0.6)\n",
    "ticks = [ i*60 for i in range(14) ]\n",
    "pl1.set_xticks(ticks)\n",
    "pl1.set_xticklabels([1950,1955,1960,1965,1970,1975,1980,1985,1990,1995,2000,2005,2010,2015]);\n",
    "pl1.set_ylabel('Celsius')\n",
    "pl1.set_xlabel('Year')\n",
    "pl1.set_title('Monthly average temperatures for Aberporth and Vlissingen, since 1950');\n",
    "pl1.spines['right'].set_color('none')\n",
    "pl1.spines['top'].set_color('none')\n",
    "pl1.spines['left'].set_color('grey')\n",
    "pl1.spines['bottom'].set_color('grey')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is fine and we do see some overall difference, but with so much data on one plot, it is hard to see detail. Let's look at a couple of decades."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_decade(start_year):\n",
    "    end_year = start_year + 10\n",
    "    dfd = df.loc[start_year: end_year - 1 ]\n",
    "    p = dfd.plot(figsize=(10,4), alpha=0.6)\n",
    "    ticks = [ i*12 for i in range(11) ]\n",
    "    p.set_xticks(ticks)\n",
    "    p.set_xticklabels(range(start_year,end_year+1))\n",
    "    p.set_xlabel(\"Year\")\n",
    "    p.set_ylabel(\"Celsius\")\n",
    "    p.set_title('One decade of monthly average temperature for Aberporth and Vlissingen, since {}'.format(start_year))\n",
    "    p.spines['right'].set_color('none')\n",
    "    p.spines['top'].set_color('none')\n",
    "    p.spines['left'].set_color('grey')\n",
    "    p.spines['bottom'].set_color('grey')\n",
    "    \n",
    "plot_decade(1950)\n",
    "plot_decade(2000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "This is better. We can clearly see the fact that the summer temperature is generally a bit cooler and the winter temperature warmer in Aberporth. The moderating influence of the Atlantic is real.\n",
    "\n",
    "So how about trying to quantify the difference? There are two ways to do this:\n",
    " - look at differences in variability (standard deviation) of the data\n",
    " - make a plot of winter and summer averages for both data sets and see how they differ.\n",
    " \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Standard Deviation for Aberporth is : 3.87\n",
      "Standard Deviation for Vlissingen is : 5.35\n"
     ]
    }
   ],
   "source": [
    "std_aberporth = df['Aberporth'].std()\n",
    "std_vlissingen = df['Vlissingen'].std()\n",
    "print(\"Standard Deviation for Aberporth is : {0:.2f}\".format(std_aberporth))\n",
    "print(\"Standard Deviation for Vlissingen is : {0:.2f}\".format(std_vlissingen))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And it's clear that the Vlissingen data has much higher variablity. How about by decade?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Std Dev 1950-1960: Aberporth:3.87  Vlissingen:5.37\n",
      "Std Dev 1960-1970: Aberporth:4.00  Vlissingen:5.47\n",
      "Std Dev 1970-1980: Aberporth:3.80  Vlissingen:5.17\n",
      "Std Dev 1980-1990: Aberporth:3.93  Vlissingen:5.37\n",
      "Std Dev 1990-2000: Aberporth:3.82  Vlissingen:5.26\n",
      "Std Dev 2000-2010: Aberporth:3.85  Vlissingen:5.36\n"
     ]
    }
   ],
   "source": [
    "def show_std_decade(start_year):\n",
    "    end_year = start_year + 10\n",
    "    dfs = df.loc[start_year:end_year]\n",
    "    sa = dfs['Aberporth'].std()\n",
    "    sv = dfs['Vlissingen'].std()\n",
    "    print(\"Std Dev {}-{}: Aberporth:{:.2f}  Vlissingen:{:.2f}\".format(start_year, end_year, sa, sv))\n",
    "\n",
    "for y in [1950,1960,1970,1980,1990,2000]:\n",
    "    show_std_decade(y)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And this suggests that the variability of temperature at each location has not changed much since 1950. How about computing average summer and winter temperature for each? Suppose that we look at each location, and take the average of months (12,1,2) (winter) and then (6,7,8) (summer)? Then we can plot average winter and summer temperature for each location, and also look at how the difference between them has varied. (For the first year we will have a winter average from months (1,2) only.) \n",
    "\n",
    "Because of the awkwardness of pulling this data together, and there is no particular need for speed, I do it by iterating over the DataFrame with monthly data, to create a new one with seasonal data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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