mups-valve-xija-filtering.ipynb

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    "## Fetch clean MUPS valve temperature telemetry\n",
    "\n",
    "This notebook provides a new function to fetch cleaned MUPS valve temperature telemetry.\n",
    "\n",
    "It makes use of the temperature correction code provided by Scott Blanchard (to correct\n",
    "for a resistor dropout in the thermistor data) and xija thermal model developed by\n",
    "Matt Dahmer.\n",
    "\n",
    "The basic cleaning algorithm is very simple:\n",
    "\n",
    "- Fetch raw telemetry from the cheta archive.\n",
    "- Compute a xija thermal model prediction for the same timespan (actually starting a few\n",
    "  days in advance to burn out uncertainty in the pseudo-node value).\n",
    "- Accept either raw telemetry or corrected data which are within a tolerance (5 degF) of \n",
    "  the model.\n",
    "- In the gaps where the model diverges from both raw and corrected temperatures, \n",
    "  \"repropagate\" the model starting from the last accepted temperature value.\n",
    "  This effectively takes out much of the systematic model error, which can be up to \n",
    "  15 degF after a transition to a new attitude.\n",
    "- In some cases this allows recovery of additional data, while in others the data are\n",
    "  not recoverable: either due to partial disconnect of the parallel resistor or full\n",
    "  disconnects where the output voltage exceeds 5.12 V.\n",
    "\n",
    "The output of this function is a `fetch.Msid` object with some bonus attributes, \n",
    "documented below.  In particular the output cleaned data are labeled so one knows\n",
    "exactly where each data point came from.\n",
    "\n",
    "The function is fast, and one can get 5 years of cleaned telemetry in a few seconds\n",
    "on a modern laptop with SSD drive.\n",
    "  \n",
    "This cleaning technique recovers on average about 90% of data for PM2THV1T.  Since\n",
    "2015, about 60% of telemetry is good (no dropout) while 30% is in a recoverable\n",
    "fully-dropped state (and 10% is not recoverable).\n",
    "\n",
    "```\n",
    "def fetch_clean_msid(msid, start, stop=None, dt_thresh=5.0, median=7, model_spec=None):\n",
    "\n",
    "    Fetch a cleaned version of telemetry for ``msid``.\n",
    "\n",
    "    If not supplied the model spec will be downloaded from github using this URL:\n",
    "      https://raw.githubusercontent.com/sot/chandra_models/master/chandra_models/xija/\n",
    "              mups_valve/{msid}_spec.json\n",
    "            \n",
    "    This function returns a `fetch.Msid` object like a normal fetch but with extra attributes:\n",
    "\n",
    "    - vals: cleaned telemetry (either original or corrected telemetry, or xija model prediction)\n",
    "    - source: label for each vals data point\n",
    "      - 0: unrecoverable, so use xija model value\n",
    "      - 1: original telemetry\n",
    "      - 2: corrected telemetry\n",
    "    - vals_raw: raw (uncleaned) telemetry\n",
    "    - vals_nan: cleaned telem but with np.nan at points where data are unrecoverable (this is\n",
    "                for plotting)\n",
    "    - vals_corr: telemetry with the MUPS correction applied\n",
    "    - vals_model: xija model prediction\n",
    "    \n",
    "    :param start: start time\n",
    "    :param stop: stop time (default=NOW)\n",
    "    :param dt_thresh: tolerance for matching model to data in degF (default=5 degF)\n",
    "    :param median: length of median filter (default=7, use 0 to disable)\n",
    "    :param model_spec: file name or URL containing relevant xija model spec\n",
    "    \n",
    "    :returns: fetch.Msid object\n",
    "```"
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   "source": [
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import numba\n",
    "from astropy.utils.data import download_file, get_file_contents\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.style\n",
    "from scipy.interpolate import interp1d\n",
    "from scipy.ndimage import median_filter\n",
    "matplotlib.style.use('bmh')\n",
    "%matplotlib notebook\n",
    "\n",
    "from cheta import fetch_eng\n",
    "from xija import XijaModel\n",
    "from Ska.Matplotlib import plot_cxctime"
   ]
  },
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   "execution_count": 2,
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   "source": [
    "def c2f(degc):\n",
    "    degf = 32 + degc * 1.8\n",
    "    return degf"
   ]
  },
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   "execution_count": 3,
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   "source": [
    "# Define MUPS valve thermistor point pair calibration table (from TDB).\n",
    "pp_counts = np.array([0, 27, 36, 44, 55, 70, 90, 118, 175, 195, 210, 219, 226, 231, 235, 255])\n",
    "pp_temps = np.array([369.5305, 263.32577, 239.03652, 222.30608, 203.6944, 183.2642, 161.0796, 134.93818, \n",
    "                     85.65725, 65.6537,47.3176, 33.50622, 19.9373, 7.42435, -5.79635, -111.77265])\n",
    " \n",
    "count_to_degf = interp1d(pp_counts, pp_temps)\n",
    "degf_to_counts = interp1d(pp_temps, pp_counts)\n",
    "\n",
    "# Define MUPS valve thermistor voltage point pair calibration table.\n",
    "count_to_volts = lambda counts: counts / 256 * 5.12\n",
    "volts_to_counts = lambda volts: volts / 5.12 * 256\n",
    "\n",
    "# Voltage and Temperature, with and without resistor (see flight note 447 for\n",
    "# the source of these numbers).\n",
    "\n",
    "volt_with_resistor = [4.153325779, 3.676396578, 3.175100371, 2.587948965, 2.435, 2.025223702, \n",
    "                      1.538506813, 1.148359251,0.63128179, 0.354868907, 0.208375569]\n",
    "volt_without_resistor = [28.223, 15, 9.1231, 5.5228, 4.87, 3.467, 2.249, 1.5027, 0.7253, 0.38276, 0.21769]\n",
    "temp_without_resistor = [50, 77, 100, 125, 130, 150, 175, 200, 250, 300, 350]\n",
    "\n",
    "volt_without_resistor_to_temp_without_resistor = interp1d(volt_without_resistor, temp_without_resistor)\n",
    "temp_without_resistor_to_volt_without_resistor = interp1d(temp_without_resistor, volt_without_resistor)\n",
    "volt_with_resistor_to_volt_without_resistor = interp1d(volt_with_resistor, volt_without_resistor)\n",
    "volt_without_resistor_to_volt_with_resistor = interp1d(volt_without_resistor, volt_with_resistor)\n",
    "\n",
    "def get_corr_mups_temp(temp):\n",
    "    \"\"\" Calculate a MUPS valve thermistor corrected temperature.\n",
    "    Args:\n",
    "        temp (float, int): Temperature in Fahrenheit to which a correction will be applied.\n",
    "\n",
    "    Returns:\n",
    "        (float): Corrected temperaure\n",
    "\n",
    "    \"\"\"\n",
    "    # Convert observed temperature to voltage\n",
    "    count = degf_to_counts(temp)\n",
    "    volt = count_to_volts(count)\n",
    "\n",
    "    # Convert voltage as read, assuming no resistor, to what it would be with the resistor\n",
    "    new_volt = volt_without_resistor_to_volt_with_resistor(volt)\n",
    " \n",
    "    # Convert this new voltage to counts and, in turn, to a new temperature\n",
    "    new_count = volts_to_counts(new_volt)\n",
    "    new_temp = count_to_degf(new_count)\n",
    " \n",
    "    return new_temp"
   ]
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    "@numba.autojit()\n",
    "def select_using_model(data1, data2, model, dt_thresh, out, source):\n",
    "    \"\"\"Select from either ``data1`` or ``data2`` using ``model`` to get clean data.\n",
    "    \n",
    "    This does a 2-step process:\n",
    "    \n",
    "    1. Select either `data1` or `data2` where either is within `dt_thresh` of `model`.\n",
    "    2. Fill in gaps where possible by propagating the model from previous good data,\n",
    "       thus reducing the impact of model errors.\n",
    "       \n",
    "    :param data1: ndarray of data (e.g. observed temperature telemetry)\n",
    "    :param data2: ndarray of data (e.g. corrected temperature telemetry)\n",
    "    :param model: ndarray with model prediction for data\n",
    "    :param dt_thresh: model error tolerance for selecting data1 or data2\n",
    "    :param out: ndarray where output cleaned data is stored (must be same length as data)\n",
    "    :param source: ndarray where output source labeling is stored (same length as data)\n",
    "    \"\"\"\n",
    "    # Select all data where either data1 or data2 are within dt_thresh of model\n",
    "    for data, source_id in [(data1, 1), (data2, 2)]:\n",
    "        ok = np.abs(data - model) < dt_thresh\n",
    "        out[ok] = data[ok]\n",
    "        source[ok] = source_id\n",
    "\n",
    "    # Fill in gaps where possible by propagating model from last good data value\n",
    "    for ii in range(len(data1)):\n",
    "        if source[ii] != 0:\n",
    "            # Already got a good value so move on.\n",
    "            continue\n",
    "\n",
    "        if ii == 0:\n",
    "            model_prop_ii = model[0]\n",
    "        else:\n",
    "            # Propagate model using last point + delta-model\n",
    "            model_prop_ii = out[ii-1] + (model[ii] - model[ii-1])\n",
    "\n",
    "        if abs(data1[ii] - model_prop_ii) < dt_thresh:\n",
    "            out[ii] = data1[ii]\n",
    "            source[ii] = 1\n",
    "        elif abs(data2[ii] - model_prop_ii) < dt_thresh:\n",
    "            out[ii] = data2[ii]\n",
    "            source[ii] = 2\n",
    "        else:\n",
    "            # No good match, use propagated model value and mark as such\n",
    "            out[ii] = model_prop_ii\n",
    "            source[ii] = 0"
   ]
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   "source": [
    "def fetch_clean_msid(msid, start, stop=None, dt_thresh=5.0, median=7, model_spec=None):\n",
    "    \"\"\"Fetch a cleaned version of telemetry for ``msid``.\n",
    "\n",
    "    If not supplied the model spec will be downloaded from github using this URL:\n",
    "      https://raw.githubusercontent.com/sot/chandra_models/master/chandra_models/xija/\n",
    "              mups_valve/{msid}_spec.json\n",
    "            \n",
    "    This function returns a `fetch.Msid` object like a normal fetch but with extra attributes:\n",
    "\n",
    "    - vals: cleaned telemetry (either original or corrected telemetry, or xija model prediction)\n",
    "    - source: label for each vals data point\n",
    "      - 0: unrecoverable, so use xija model value\n",
    "      - 1: original telemetry\n",
    "      - 2: corrected telemetry\n",
    "    - vals_raw: raw (uncleaned) telemetry\n",
    "    - vals_nan: cleaned telem but with np.nan at points where data are unrecoverable (this is\n",
    "                for plotting)\n",
    "    - vals_corr: telemetry with the MUPS correction applied\n",
    "    - vals_model: xija model prediction\n",
    "    \n",
    "    :param start: start time\n",
    "    :param stop: stop time (default=NOW)\n",
    "    :param dt_thresh: tolerance for matching model to data in degF (default=5 degF)\n",
    "    :param median: length of median filter (default=7, use 0 to disable)\n",
    "    :param model_spec: file name or URL containing relevant xija model spec\n",
    "    \n",
    "    :returns: fetch.Msid object\n",
    "    \"\"\"\n",
    "    if model_spec is None or not os.path.exists(model_spec):\n",
    "        url = (f'https://raw.githubusercontent.com/sot/chandra_models/master/chandra_models/xija/'\n",
    "               f'mups_valve/{msid}_spec.json')\n",
    "        model_spec = download_file(url, cache=True)\n",
    "        \n",
    "    dat = fetch_eng.Msid(msid, start, stop)\n",
    "\n",
    "    t_obs = dat.vals\n",
    "    if median:\n",
    "        t_obs = median_filter(t_obs, size=median)\n",
    "    t_corr = get_corr_mups_temp(t_obs)\n",
    "    \n",
    "    mdl = XijaModel(model_spec=model_spec, \n",
    "                    start=dat.times[0] - 400000, \n",
    "                    stop=dat.times[-1])\n",
    "    mdl.comp['mups0'].set_data(75)\n",
    "    mdl.make()\n",
    "    mdl.calc()\n",
    "    \n",
    "    times0 = dat.times - dat.times[0]\n",
    "    t_model = np.interp(xp=mdl.times, fp=c2f(mdl.comp['pm2thv1t'].mvals), x=dat.times)\n",
    "    \n",
    "    out = np.zeros_like(dat.vals)\n",
    "    source = np.zeros(len(dat.vals), dtype=int)\n",
    "    select_using_model(t_obs, t_corr, t_model, dt_thresh=dt_thresh, out=out, source=source)\n",
    "\n",
    "    dat.vals_raw = dat.vals\n",
    "\n",
    "    dat.vals = out\n",
    "    dat.vals_nan = out.copy()\n",
    "    \n",
    "    dat.bads = (source == 0)\n",
    "    dat.vals_nan[dat.bads] = np.nan\n",
    "\n",
    "    dat.source = source\n",
    "    dat.vals_corr = t_corr\n",
    "    dat.vals_model = t_model\n",
    "    \n",
    "    return dat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching msid: pm2thv1t over 2020:035:20:27:50.816 to 2020:050:12:20:06.816\n",
      "Fetching msid: pitch over 2020:035:20:27:50.816 to 2020:050:12:20:06.816\n",
      "Fetching msid: aoeclips over 2020:035:20:27:50.816 to 2020:050:12:20:06.816\n",
      "Fetching msid: roll over 2020:035:20:27:50.816 to 2020:050:12:20:06.816\n"
     ]
    }
   ],
   "source": [
    "dat = fetch_clean_msid('pm2thv1t', '2020:040', '2020:050', dt_thresh=5)"
   ]
  },
  {
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   "execution_count": 7,
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       "\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",
       "        // 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": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "labels = {0: 'Bad data (uses xija model)', \n",
    "          1: 'Original telemetry', \n",
    "          2: 'Corrected telemetry'}\n",
    "for source, color in [(0, 'r'), (1, 'c'), (2, 'm')]:\n",
    "    ok = (dat.source == source)\n",
    "    vals = dat.vals.copy()\n",
    "    vals[~ok] = np.nan\n",
    "    plot_cxctime(dat.times, vals, label=labels[source], color=color)\n",
    "\n",
    "plt.legend(fontsize='small');\n",
    "plt.title('Clean telemetry, labeled by source');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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",
       "        this.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",
       "        // 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": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plot_cxctime(dat.times, dat.vals_nan);\n",
    "plt.title('Clean telemetry with bad values replaced by nan')\n",
    "plt.ylabel('DegF');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plot_cxctime(dat.times, dat.vals_raw);\n",
    "plt.title('Raw telemetry')\n",
    "plt.ylabel('DegF');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching msid: pm2thv1t over 2015:035:20:28:32.816 to 2020:045:12:20:30.816\n",
      "Fetching msid: pitch over 2015:035:20:28:32.816 to 2020:045:12:20:30.816\n",
      "Fetching msid: aoeclips over 2015:035:20:28:32.816 to 2020:045:12:20:30.816\n",
      "Fetching msid: roll over 2015:035:20:28:32.816 to 2020:045:12:20:30.816\n",
      "\n",
      "Time span = 5.27 years\n",
      "Valid fraction = 0.904\n",
      "Thermistor not dropped = 0.593\n",
      "Thermistor fully dropped = 0.311\n",
      "\n",
      "CPU times: user 4.99 s, sys: 1.17 s, total: 6.16 s\n",
      "Wall time: 6.36 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# Check statistics and performance for a large span of data\n",
    "\n",
    "dat = fetch_clean_msid('pm2thv1t', '2015:040', '2020:045', dt_thresh=5)\n",
    "print()\n",
    "print('Time span = {:.2f} years'.format((dat.tstop - dat.tstart) / 3e7))\n",
    "print('Valid fraction = {:.3f}'.format(np.count_nonzero(dat.source != 0) / len(dat.vals)))\n",
    "print('Thermistor not dropped = {:.3f}'.format(np.count_nonzero(dat.source == 1) / len(dat.vals)))\n",
    "print('Thermistor fully dropped = {:.3f}'.format(np.count_nonzero(dat.source == 2) / len(dat.vals)))\n",
    "print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python [conda env:ska3]",
   "language": "python",
   "name": "conda-env-ska3-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
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 },
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