Mag_Gyro_Acc_Calibration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.animation import FuncAnimation\n",
    "import datetime\n",
    "import matplotlib.dates as mdates\n",
    "from collections import deque\n",
    "import numpy as np\n",
    "\n",
    "import serial\n",
    "import re\n",
    "\n",
    "PORT = \"/dev/cu.usbmodem141101\"\n",
    "\n",
    "# How many sensor samples we want to store\n",
    "HISTORY_SIZE = 3000\n",
    "\n",
    "# Pause re-sampling the sensor and drawing for INTERVAL seconds\n",
    "INTERVAL = 0.0126\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opened /dev/cu.usbmodem141101\n",
      "[0.09, -0.05, 0.92, -0.18, -1.22, -4.46, 33.36, 7.5, -39.21]\n",
      "[0.1, -0.05, 1.03, -203.98, 12.51, 50.11, 33.41, 7.34, -38.76]\n",
      "[0.1, -0.05, 1.03, -87.71, 6.04, 23.68, 33.62, 6.99, -39.42]\n",
      "[0.09, -0.06, 0.97, -87.71, -0.79, 0.18, 33.62, 6.99, -39.42]\n",
      "[0.1, -0.05, 1.0, 14.16, -0.79, 0.18, 33.75, 7.64, -38.2]\n",
      "[0.1, -0.05, 1.01, 21.0, -1.28, -3.3, 34.06, 7.26, -39.32]\n",
      "[0.1, -0.05, 1.01, 4.46, -0.61, -1.28, 34.06, 7.26, -39.32]\n",
      "[0.1, -0.05, 1.01, 1.65, -0.31, -0.67, 34.03, 7.4, -38.94]\n",
      "[0.1, -0.05, 1.0, 1.28, -0.06, -0.55, 34.06, 7.65, -38.87]\n",
      "[0.1, -0.05, 1.0, 1.04, -0.06, -0.55, 34.06, 7.65, -38.87]\n",
      "[0.1, -0.05, 1.0, 1.1, -0.06, -0.55, 33.06, 7.5, -39.07]\n",
      "[0.1, -0.05, 1.0, 1.4, -0.31, -0.61, 33.53, 7.2, -38.51]\n",
      "[0.1, -0.05, 1.0, 1.46, -0.37, -0.61, 33.53, 7.2, -38.51]\n",
      "[0.1, -0.05, 1.0, 1.16, -0.61, -0.67, 33.48, 7.02, -39.59]\n",
      "[0.1, -0.05, 1.0, 1.04, -0.67, -0.73, 33.51, 7.47, -38.38]\n",
      "[0.1, -0.05, 1.0, 0.92, -0.61, -0.61, 33.51, 7.47, -38.38]\n",
      "[0.1, -0.05, 1.0, 0.67, -0.85, -0.49, 33.64, 7.64, -38.65]\n",
      "[0.1, -0.05, 1.0, 0.73, -0.98, -0.43, 33.86, 7.46, -38.32]\n",
      "[0.1, -0.05, 1.0, 0.73, -1.04, -0.61, 33.86, 7.46, -38.32]\n",
      "[0.1, -0.05, 1.0, 0.79, -0.98, -0.67, 33.42, 7.53, -39.36]\n"
     ]
    }
   ],
   "source": [
    "serialport = None\n",
    "\n",
    "def get_imu_data():\n",
    "    global serialport\n",
    "    if not serialport:\n",
    "        # open serial port\n",
    "        serialport = serial.Serial(PORT, 115200, timeout=0.1)\n",
    "        # check which port was really used\n",
    "        print(\"Opened\", serialport.name)\n",
    "        # Flush input\n",
    "        time.sleep(3)\n",
    "        serialport.readline()\n",
    "\n",
    "    # Poll the serial port\n",
    "    line = str(serialport.readline(), 'utf-8')\n",
    "    if not line:\n",
    "        return None\n",
    "    #print(line)\n",
    "    if not \"Uni:\" in line:\n",
    "        return None\n",
    "    vals = line.replace(\"Uni:\", \"\").strip().split(',')\n",
    "    #print(vals)\n",
    "    if len(vals) != 9:\n",
    "        return None\n",
    "    try:\n",
    "        vals = [float(i) for i in vals]\n",
    "    except ValueError:\n",
    "        return None\n",
    "    #print(vals)\n",
    "    return vals\n",
    "\n",
    "for _ in range(20):\n",
    "    print(get_imu_data())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Magnetometer data capture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Deque for axes\n",
    "mag_x = deque(maxlen=HISTORY_SIZE)\n",
    "mag_y = deque(maxlen=HISTORY_SIZE)\n",
    "mag_z = deque(maxlen=HISTORY_SIZE)\n",
    "\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.set_aspect(1)\n",
    "\n",
    "# close port in case its open\n",
    "if serialport:\n",
    "    try:\n",
    "        serialport.close()\n",
    "    except NameError:\n",
    "        pass\n",
    "\n",
    "serialport = None\n",
    "anim = None\n",
    "\n",
    "def onClick(event):\n",
    "    anim.event_source.stop()\n",
    "    \n",
    "def animate(i):\n",
    "    for _ in range(30):\n",
    "        ret = get_imu_data()\n",
    "        if not ret:\n",
    "            continue\n",
    "        x, y, z = ret[6:9]\n",
    "        mag_x.append(x)\n",
    "        mag_y.append(y)\n",
    "        mag_z.append(z)\n",
    "\n",
    "    # Clear all axis\n",
    "    ax.cla()\n",
    "\n",
    "    # Display the sub-plots\n",
    "    ax.scatter(mag_x, mag_y, color='r')\n",
    "    ax.scatter(mag_y, mag_z, color='g')\n",
    "    ax.scatter(mag_z, mag_x, color='b')\n",
    "    \n",
    "    if len(mag_x) == HISTORY_SIZE:\n",
    "        anim.event_source.stop()\n",
    "    # Pause the plot for INTERVAL seconds \n",
    "    plt.pause(INTERVAL)\n",
    "\n",
    "fig.canvas.mpl_connect('button_press_event', onClick)    \n",
    "anim = FuncAnimation(fig, animate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X range:  -27.64 56.23\n",
      "Y range:  -30.99 51.62\n",
      "Z range:  -44.12 35.46\n",
      "Final calibration in uTesla: [14.294999999999998, 10.315, -4.329999999999998]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_x = min(mag_x)\n",
    "max_x = max(mag_x)\n",
    "min_y = min(mag_y)\n",
    "max_y = max(mag_y)\n",
    "min_z = min(mag_z)\n",
    "max_z = max(mag_z)\n",
    "\n",
    "print(\"X range: \", min_x, max_x)\n",
    "print(\"Y range: \", min_y, max_y)\n",
    "print(\"Z range: \", min_z, max_z)\n",
    "\n",
    "mag_calibration = [ (max_x + min_x) / 2, (max_y + min_y) / 2, (max_z + min_z) / 2]\n",
    "print(\"Final calibration in uTesla:\", mag_calibration)\n",
    "\n",
    "cal_mag_x = [x - mag_calibration[0] for x in mag_x]\n",
    "cal_mag_y = [y - mag_calibration[1] for y in mag_y]\n",
    "cal_mag_z = [z - mag_calibration[2] for z in mag_z]\n",
    "\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.set_aspect(1)\n",
    "\n",
    "# Clear all axis\n",
    "ax.cla()\n",
    "\n",
    "# Display the now calibrated data\n",
    "ax.scatter(cal_mag_x, cal_mag_y, color='r')\n",
    "ax.scatter(cal_mag_y, cal_mag_z, color='g')\n",
    "ax.scatter(cal_mag_z, cal_mag_x, color='b')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gyroscope offset calibration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Put down the board and do not touch or move it!\n",
      "3...2...1...COLLECTING GYRO DATA\n",
      "Opened /dev/cu.usbmodem141101\n",
      "Gyro X range:  1.22 1.95\n",
      "Gyro Y range:  -0.61 -0.06\n",
      "Gyro Z range:  -0.67 -0.24\n",
      "Final calibration in rad/s: [1.585, -0.33499999999999996, -0.455]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Put down the board and do not touch or move it!\")\n",
    "for s in range(3, 0, -1):\n",
    "    print(s, end='...')\n",
    "    time.sleep(1)\n",
    "print(\"COLLECTING GYRO DATA\")\n",
    "\n",
    "# close port in case its open\n",
    "if serialport:\n",
    "    try:\n",
    "        serialport.close()\n",
    "    except NameError:\n",
    "        pass\n",
    "\n",
    "serialport = None\n",
    "\n",
    "# Deque for axes\n",
    "gyro_x = deque(maxlen=HISTORY_SIZE//10)\n",
    "gyro_y = deque(maxlen=HISTORY_SIZE//10)\n",
    "gyro_z = deque(maxlen=HISTORY_SIZE//10)\n",
    "while len(gyro_x) < (HISTORY_SIZE//10):\n",
    "    ret = get_imu_data()\n",
    "    #print(ret)\n",
    "    if not ret:\n",
    "        continue\n",
    "    x, y, z = ret[3:6]\n",
    "    gyro_x.append(x)\n",
    "    gyro_y.append(y)\n",
    "    gyro_z.append(z)\n",
    "\n",
    "for _ in range(3):\n",
    "    gyro_x.popleft()\n",
    "    gyro_y.popleft()\n",
    "    gyro_z.popleft()\n",
    "\n",
    "min_x = min(gyro_x)\n",
    "max_x = max(gyro_x)\n",
    "min_y = min(gyro_y)\n",
    "max_y = max(gyro_y)\n",
    "min_z = min(gyro_z)\n",
    "max_z = max(gyro_z)\n",
    "\n",
    "print(\"Gyro X range: \", min_x, max_x)\n",
    "print(\"Gyro Y range: \", min_y, max_y)\n",
    "print(\"Gyro Z range: \", min_z, max_z)\n",
    "\n",
    "gyro_calibration = [ (max_x + min_x) / 2, (max_y + min_y) / 2, (max_z + min_z) / 2]\n",
    "print(\"Final calibration in rad/s:\", gyro_calibration)\n",
    "\n",
    "fig, (uncal, cal) = plt.subplots(2, 1)\n",
    "\n",
    "# Clear all axis\n",
    "uncal.cla()\n",
    "t = np.linspace(0, len(gyro_x), len(gyro_x))\n",
    "# plot uncalibrated data\n",
    "uncal.plot(t, gyro_x, color='r')\n",
    "uncal.plot(t, gyro_y, color='g')\n",
    "uncal.plot(t, gyro_z, color='b')\n",
    "uncal.title.set_text(\"Uncalibrated Gyro\")\n",
    "uncal.set(ylabel='Radians/s')\n",
    "# plot calibrated data\n",
    "cal.plot(t, [x - gyro_calibration[0] for x in gyro_x], color='r')\n",
    "cal.plot(t, [y - gyro_calibration[1] for y in gyro_y], color='g')\n",
    "cal.plot(t, [z - gyro_calibration[2] for z in gyro_z], color='b')\n",
    "cal.title.set_text(\"Calibrated Gyro\")\n",
    "cal.set(ylabel='Radians/s')\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.show()\n",
    "serialport.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accelerometer offset calibration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Put down the board and do not touch or move it!\n",
      "3...2...1...COLLECTING ACC DATA\n",
      "Opened /dev/cu.usbmodem141101\n",
      "Acc X range:  0.57 0.58\n",
      "Acc Y range:  0.02 0.02\n",
      "Acc Z range:  0.83 0.83\n",
      "Final calibration in mg: [0.575, 0.02, 0.83]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# How many sensor samples we want to store\n",
    "HISTORY_SIZE = 7000\n",
    "\n",
    "print(\"Put down the board and do not touch or move it!\")\n",
    "for s in range(3, 0, -1):\n",
    "    print(s, end='...')\n",
    "    time.sleep(1)\n",
    "print(\"COLLECTING ACC DATA\")\n",
    "\n",
    "# close port in case its open\n",
    "if serialport:\n",
    "    try:\n",
    "        serialport.close()\n",
    "    except NameError:\n",
    "        pass\n",
    "\n",
    "serialport = None\n",
    "\n",
    "# Deque for axes\n",
    "acc_x = deque(maxlen=HISTORY_SIZE//10)\n",
    "acc_y = deque(maxlen=HISTORY_SIZE//10)\n",
    "acc_z = deque(maxlen=HISTORY_SIZE//10)\n",
    "while len(acc_x) < (HISTORY_SIZE//10):\n",
    "    ret = get_imu_data()\n",
    "    #print(ret)\n",
    "    if not ret:\n",
    "        continue\n",
    "    x, y, z = ret[:3]\n",
    "    acc_x.append(x)\n",
    "    acc_y.append(y)\n",
    "    acc_z.append(z)\n",
    "\n",
    "for _ in range(3):\n",
    "    acc_x.popleft()\n",
    "    acc_y.popleft()\n",
    "    acc_z.popleft()\n",
    "\n",
    "min_x = min(acc_x)\n",
    "max_x = max(acc_x)\n",
    "min_y = min(acc_y)\n",
    "max_y = max(acc_y)\n",
    "min_z = min(acc_z)\n",
    "max_z = max(acc_z)\n",
    "\n",
    "print(\"Acc X range: \", min_x, max_x)\n",
    "print(\"Acc Y range: \", min_y, max_y)\n",
    "print(\"Acc Z range: \", min_z, max_z)\n",
    "\n",
    "acc_calibration = [ (max_x + min_x) / 2, (max_y + min_y) / 2, (max_z + min_z) / 2]\n",
    "print(\"Final calibration in mg:\", acc_calibration)\n",
    "\n",
    "fig, (uncal, cal) = plt.subplots(2, 1)\n",
    "\n",
    "# Clear all axis\n",
    "uncal.cla()\n",
    "t = np.linspace(0, len(acc_x), len(acc_x))\n",
    "# plot uncalibrated data\n",
    "uncal.plot(t, acc_x, color='r')\n",
    "uncal.plot(t, acc_y, color='g')\n",
    "uncal.plot(t, acc_z, color='b')\n",
    "uncal.title.set_text(\"Uncalibrated Acc\")\n",
    "uncal.set(ylabel='mg')\n",
    "# plot calibrated data\n",
    "cal.plot(t, [x - acc_calibration[0] for x in acc_x], color='r')\n",
    "cal.plot(t, [y - acc_calibration[1] for y in acc_y], color='g')\n",
    "cal.plot(t, [z - acc_calibration[2] for z in acc_z], color='b')\n",
    "cal.title.set_text(\"Calibrated Acc\")\n",
    "cal.set(ylabel='mg')\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.show()\n",
    "serialport.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accelerometer calibration using Sphere approach"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accelerometer data capture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Deque for axes\n",
    "HISTORY_SIZE = 8000\n",
    "acc_x = deque(maxlen=HISTORY_SIZE)\n",
    "acc_y = deque(maxlen=HISTORY_SIZE)\n",
    "acc_z = deque(maxlen=HISTORY_SIZE)\n",
    "\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.set_aspect(1)\n",
    "\n",
    "# close port in case its open\n",
    "if serialport:\n",
    "    try:\n",
    "        serialport.close()\n",
    "    except NameError:\n",
    "        pass\n",
    "\n",
    "serialport = None\n",
    "anim = None\n",
    "\n",
    "alpha = 0.8;\n",
    "gravity_x, gravity_y, gravity_z = [0],  [0], [1]\n",
    "\n",
    "def onClick(event):\n",
    "    anim.event_source.stop()\n",
    "    \n",
    "def animate(i):\n",
    "    for _ in range(30):\n",
    "        ret = get_imu_data()\n",
    "        if not ret:\n",
    "            continue\n",
    "        x, y, z = ret[:3]\n",
    "        acc_x.append(x)\n",
    "        acc_y.append(y)\n",
    "        acc_z.append(z)\n",
    "    \n",
    "        gravity_z.append(alpha * gravity_z[-1] + (1 - alpha) * z)\n",
    "\n",
    "        gravity_y.append(alpha * gravity_y[-1] + (1 - alpha) * y)\n",
    "\n",
    "        gravity_x.append(alpha * gravity_x[-1] + (1 - alpha) * x)\n",
    "    \n",
    "    # Clear all axis\n",
    "    ax.cla()\n",
    "\n",
    "    # Display the sub-plots\n",
    "    ax.scatter(gravity_x, gravity_y, color='r')\n",
    "    ax.scatter(gravity_y, gravity_z, color='g')\n",
    "    ax.scatter(gravity_z, gravity_x, color='b')\n",
    "    \n",
    "    if len(acc_x) == HISTORY_SIZE:\n",
    "        anim.event_source.stop()\n",
    "    # Pause the plot for INTERVAL seconds \n",
    "    plt.pause(INTERVAL)\n",
    "\n",
    "fig.canvas.mpl_connect('button_press_event', onClick)    \n",
    "anim = FuncAnimation(fig, animate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X range:  -1.09 1.08\n",
      "Y range:  -1.12 1.04\n",
      "Z range:  -1.19 1.21\n",
      "Final calibration in mg: [-0.0050000000000000044, -0.040000000000000036, 0.010000000000000009]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_x = min(acc_x)\n",
    "max_x = max(acc_x)\n",
    "min_y = min(acc_y)\n",
    "max_y = max(acc_y)\n",
    "min_z = min(acc_z)\n",
    "max_z = max(acc_z)\n",
    "\n",
    "print(\"X range: \", min_x, max_x)\n",
    "print(\"Y range: \", min_y, max_y)\n",
    "print(\"Z range: \", min_z, max_z)\n",
    "\n",
    "acc_calibration = [ (max_x + min_x) / 2, (max_y + min_y) / 2, (max_z + min_z) / 2]\n",
    "print(\"Final calibration in mg:\", acc_calibration)\n",
    "\n",
    "cal_acc_x = [x - acc_calibration[0] for x in acc_x]\n",
    "cal_acc_y = [y - acc_calibration[1] for y in acc_y]\n",
    "cal_acc_z = [z - acc_calibration[2] for z in acc_z]\n",
    "\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.set_aspect(1)\n",
    "\n",
    "# Clear all axis\n",
    "ax.cla()\n",
    "\n",
    "# Display the now calibrated data\n",
    "ax.scatter(cal_acc_x, cal_acc_y, color='r')\n",
    "ax.scatter(cal_acc_y, cal_acc_z, color='g')\n",
    "ax.scatter(cal_acc_z, cal_acc_x, color='b')\n",
    "fig.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}