SEIR.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from scipy.integrate import odeint\n",
    "import pandas as pd\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# SEIR, dimensional form\n",
    "\n",
    "def SEIR(x, t, Ro, taul, taui, taud, d, t_start_qua, t_stop_qua, Rt):\n",
    "    if (t >= t_start_qua) & (t <= t_stop_qua):\n",
    "        Roo = Rt\n",
    "    else:\n",
    "        Roo = Ro\n",
    "    S, E, I, If, R, D = x\n",
    "    xdot = np.array([-Roo/taui*S*I, \n",
    "                      Roo/taui*S*I - E/taul, \n",
    "                     E/taul - I/taui,\n",
    "                     d/taui*I - If/taud,\n",
    "                     I/taui,\n",
    "                    If/taud])\n",
    "    return xdot\n",
    "\n",
    "def solve(N, L, x0, Ro, taul, taui, taud, d, t_start_qua, t_stop_qua, Rt):\n",
    "    t = np.linspace(0, L, N)\n",
    "    x = odeint(SEIR, x0, t, args=(Ro, taul, taui, taud, d, t_start_qua, t_stop_qua, Rt))\n",
    "    return x.T\n",
    "\n",
    "def solve_xr(N, L, x0, Ro, taul, taui, taud, d, t_start_qua, t_stop_qua, Rt, t0):\n",
    "    time = pd.to_datetime(pd.date_range(t0,periods=N)) # time axis\n",
    "    names = ['S','E','I','If','R','D']\n",
    "    x = solve(N, L, x0, Ro, taul, taui, taud, d, t_start_qua, t_stop_qua, Rt)\n",
    "    da = xr.merge( [xr.DataArray(x[i],name=names[i],coords=[time],dims=['time']) for i in range(len(names)) ] )\n",
    "    return da\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "D_obs = {}\n",
    "\n",
    "import os\n",
    "os.system('wget -O obs/FOHM.xlsx https://fohm.maps.arcgis.com/sharing/rest/content/items/b5e7488e117749c19881cce45db13f7e/data')\n",
    "df=pd.read_excel('obs/FOHM.xlsx',sheet_name='Antal avlidna per dag')[:-1]\n",
    "D_obs['FOHM'] = xr.DataArray( df['Antal_avlidna'].values,\n",
    "                 coords=[pd.to_datetime(df['Datum_avliden'].values)],\n",
    "                 dims=['time'])\n",
    "\n",
    "df=pd.read_csv('obs/OurWorldInData-daily-covid-deaths.csv')\n",
    "D_obs['OWID'] = xr.DataArray(df.loc[df['Entity']=='Sweden'].iloc[:,3].values,\n",
    "                 coords=[pd.to_datetime(df.loc[df['Entity']=='Sweden']['Date'].values)],\n",
    "                 dims=['time'])\n",
    "\n",
    "df=pd.read_csv('obs/JohnsHopkins_time_series_covid19_deaths_Sweden.csv')\n",
    "D_obs['JH'] = xr.DataArray(df.iloc[0].values,\n",
    "                coords=[pd.to_datetime(pd.date_range(start='2020-01-23',end='2020-04-12'))],\n",
    "                dims=['time']).diff(dim='time')\n",
    "\n",
    "os.system('wget -O obs/ECDC.xlsx https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide.xlsx')\n",
    "df=pd.read_excel('obs/ECDC.xlsx')\n",
    "D_obs['ECDC'] = xr.DataArray(df.loc[df['countriesAndTerritories']=='Sweden']['deaths'].values[::-1],\n",
    "                coords=[pd.to_datetime(df.loc[df['countriesAndTerritories']=='Sweden']['dateRep'].values[::-1],dayfirst=True)],\n",
    "                dims=['time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up parameters\n",
    "\n",
    "N    = 150   # N.o. timesteps\n",
    "L    = 150   # length run (days)\n",
    "Ro   = 3.5   # basic reprod. number\n",
    "taul = 5.    # duration of latent period (days)\n",
    "taui = 2.    # duration of infection period (days)\n",
    "taud = 20.   # time to death from infection (days) \n",
    "d    = 0.008  # probability of dying if infected\n",
    "Rt   = 1.4   # Ro during quarantine\n",
    "t_start_qua = 35.  # time quarantine starts (days)\n",
    "t_stop_qua  = L  # time quarantine ends (days)\n",
    "\n",
    "\n",
    "# Initial conditions\n",
    "population = 10.e6\n",
    "t0 = '2020-02-15' # simulation start date\n",
    "E0 = 10 # initial no. exposed\n",
    "x0 = np.array([population-E0, E0, 0., 0., 0., 0.])/population\n",
    "\n",
    "# solve\n",
    "soln =  solve_xr(N, L, x0, Ro, taul, taui, taud, d, t_start_qua, t_stop_qua, Rt, t0) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "D = soln.D * population\n",
    "\n",
    "fig, axes = plt.subplots(2, 2, figsize=[9, 6])\n",
    "axes=axes.flatten()\n",
    "xlim = ['2020-03-01','2020-06-15']\n",
    "\n",
    "ax = axes[0]\n",
    "D.diff(dim='time').plot.line('k',ax=ax)\n",
    "D_obs['FOHM'].plot.line('ro',ax=ax)\n",
    "#D_obs['OWID'].plot.line('go',ax=ax)\n",
    "#D_obs['JH'].plot.line('b+',ax=ax)\n",
    "D_obs['ECDC'].plot.line('bo',ax=ax)\n",
    "ax.legend(['model','FOHM','ECDC'])\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_ylim(0.5,3000)\n",
    "ax.set_yscale('log')\n",
    "\n",
    "ax = axes[1]\n",
    "D.diff(dim='time').plot.line('k',ax=ax)\n",
    "D_obs['FOHM'].plot.line('ro',ax=ax)\n",
    "#D_obs['OWID'].plot.line('go',ax=ax)\n",
    "#D_obs['JH'].plot.line('b+',ax=ax)\n",
    "D_obs['ECDC'].plot.line('bo',ax=ax)\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_ylim(0,600)\n",
    "#ax.set_yscale('log')\n",
    "\n",
    "solnp = soln*100.\n",
    "ax = axes[2]\n",
    "solnp['R'].plot.line(ax=ax)\n",
    "solnp['I'].plot.line(ax=ax)\n",
    "solnp['D'].diff(dim='time').plot.line(ax=ax)\n",
    "ax.legend(['R','I','D'])\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_ylim(1.e-5,110)\n",
    "ax.set_yscale('log')\n",
    "ax.axvline(x='2020-04-10',color='k',lw=0.5)\n",
    "\n",
    "ax = axes[3]\n",
    "solnp['R'].plot.line(ax=ax)\n",
    "solnp['I'].plot.line(ax=ax)\n",
    "ax.set_xlim(xlim)\n",
    "#ax.set_ylim(1.e-2,110)\n",
    "#ax.set_yscale('log')\n",
    "ax.axvline(x='2020-04-10',color='k',lw=0.5)\n",
    "\n",
    "plt.tight_layout()\n",
    "#fig.canvas.header_visible = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f7d451ae050>]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "D_obs['FOHM'].plot()\n",
    "D_obs['ECDC'].plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3 (rca base)",
   "language": "python",
   "name": "base"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}