examples/b - dynamics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load a map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "map rr30a loaded in 0.37 seconds.\n"
     ]
    }
   ],
   "source": [
    "from pymapmanager import mmMap\n",
    "\n",
    "# load a map\n",
    "filePath = 'exampleMaps/rr30a/rr30a.txt'\n",
    "m = mmMap(filePath=filePath)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the number of segments in the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "map:rr30a map segments:5 stacks:9 total object:2467\n"
     ]
    }
   ],
   "source": [
    "print(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using a dictionary to specify what annotations to get\n",
    "\n",
    "Here we will use a plot dict to specify x, y, z stats as well as the segment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mmMap.getMapValues3() took 0.05 seconds\n"
     ]
    }
   ],
   "source": [
    "from pymapmanager.mmUtil import newplotdict\n",
    "\n",
    "plotDict = newplotdict()\n",
    "plotDict['plotbad'] = False\n",
    "plotDict['xstat'] = 'days'\n",
    "plotDict['ystat'] = 'pDist'\n",
    "plotDict['zstat'] = 'ubssSum_int2' #'sLen3d_int1' #swap in any stat you like, e.g. 'ubssSum_int2'\n",
    "plotDict['segmentid'] = 1\n",
    "plotDict = m.getMapValues3(plotDict)\n",
    "\n",
    "if 0:\n",
    "    for key, value in plotDict.iteritems() :\n",
    "        print(key)\n",
    "    \n",
    "    plotDict['dynamics']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot dynamics with color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "c of shape (423,) not acceptable as a color sequence for x with size 423, y with size 423",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/colors.py\u001b[0m in \u001b[0;36mto_rgba\u001b[0;34m(c, alpha)\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m         \u001b[0mrgba\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_colors_full_map\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Not in cache, or unhashable.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: (b'y', None)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)\u001b[0m\n\u001b[1;32m   3982\u001b[0m                 \u001b[0;31m# must be acceptable as PathCollection facecolors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3983\u001b[0;31m                 \u001b[0mcolors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmcolors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_rgba_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3984\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/colors.py\u001b[0m in \u001b[0;36mto_rgba_array\u001b[0;34m(c, alpha)\u001b[0m\n\u001b[1;32m    232\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 233\u001b[0;31m         \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mto_rgba\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    234\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/colors.py\u001b[0m in \u001b[0;36mto_rgba\u001b[0;34m(c, alpha)\u001b[0m\n\u001b[1;32m    133\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Not in cache, or unhashable.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 134\u001b[0;31m         \u001b[0mrgba\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_to_rgba_no_colorcycle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    135\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/colors.py\u001b[0m in \u001b[0;36m_to_rgba_no_colorcycle\u001b[0;34m(c, alpha)\u001b[0m\n\u001b[1;32m    184\u001b[0m         \u001b[0;31m# Test dimensionality to reject single floats.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 185\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Invalid RGBA argument: {!r}\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0morig_c\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    186\u001b[0m     \u001b[0;31m# Return a tuple to prevent the cached value from being modified.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Invalid RGBA argument: b'y'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-d6c9c650098e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;31m# plot with matplotlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplotDict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'x'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplotDict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'y'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmyColors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflatten\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     15\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplotDict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'x'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranspose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplotDict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'y'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranspose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'-'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Days'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfontsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, hold, data, **kwargs)\u001b[0m\n\u001b[1;32m   3376\u001b[0m                          \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvmax\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3377\u001b[0m                          \u001b[0mlinewidths\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlinewidths\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mverts\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverts\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3378\u001b[0;31m                          edgecolors=edgecolors, data=data, **kwargs)\n\u001b[0m\u001b[1;32m   3379\u001b[0m     \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3380\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hold\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwashold\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1715\u001b[0m                     warnings.warn(msg % (label_namer, func.__name__),\n\u001b[1;32m   1716\u001b[0m                                   RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1717\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1718\u001b[0m         \u001b[0mpre_doc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1719\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mpre_doc\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)\u001b[0m\n\u001b[1;32m   3986\u001b[0m                 msg = (\"c of shape {0} not acceptable as a color sequence \"\n\u001b[1;32m   3987\u001b[0m                        \"for x with size {1}, y with size {2}\")\n\u001b[0;32m-> 3988\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3989\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3990\u001b[0m             \u001b[0mcolors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m  \u001b[0;31m# use cmap, norm after collection is created\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: c of shape (423,) not acceptable as a color sequence for x with size 423, y with size 423"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "\n",
    "colorArray = np.array(['k', 'g', 'r', 'b', 'y']) # None, Add, Subtract, Transient, Persistent\n",
    "mRun, nSess = plotDict['dynamics'].shape\n",
    "myColors = np.chararray([mRun,nSess], itemsize=9)\n",
    "myColors[:] = colorArray[0]\n",
    "goodIdx = ~np.isnan(plotDict['dynamics'])\n",
    "\n",
    "myColors[goodIdx] = colorArray[plotDict['dynamics'][goodIdx].astype('int')]\n",
    "\n",
    "# plot with matplotlib\n",
    "plt.scatter(plotDict['x'], plotDict['y'], c=myColors.flatten())\n",
    "plt.plot(plotDict['x'].transpose(), plotDict['y'].transpose(), '-', linewidth=1.0, color='gray')\n",
    "plt.xlabel('Days', fontsize=16)\n",
    "plt.ylabel('Dendrite Position (um)', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use our plot functions\n",
    "\n",
    "The mmMapPlot2 class has useful plot function to get standard Map Manager plots along with colorizing the dynamics.\n",
    "\n",
    "We are plotting to matplotlib figures so we need to use some magic with `%matplotlib notebook`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "map rr30a loaded in 0.3 seconds.\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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     "output_type": "display_data"
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "TypeError",
     "evalue": "'>=' not supported between instances of 'list' and 'int'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-462775e0d834>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     21\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m \u001b[0;31m# plot the canonical map manager map\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0mmyPlot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplotMap0\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mplotDict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     24\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Dropbox/PyMapManager/pymapmanager/mmMapPlot2.py\u001b[0m in \u001b[0;36mplotMap0\u001b[0;34m(self, fig, pd)\u001b[0m\n\u001b[1;32m     97\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'ystat'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'pDist'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     98\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'zstat'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'cAngle'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 99\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetMapValues3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    101\u001b[0m         \u001b[0;31m# get spine angle and offset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Dropbox/PyMapManager/pymapmanager/mmMap.py\u001b[0m in \u001b[0;36mgetMapValues3\u001b[0;34m(self, pd)\u001b[0m\n\u001b[1;32m    555\u001b[0m                         \u001b[0mcurrSegmentID\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    556\u001b[0m                         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumMapSegments\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 557\u001b[0;31m                                 \u001b[0;32mif\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'segmentid'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'segmentid'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m>=\u001b[0m\u001b[0;36m0\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    558\u001b[0m                                         \u001b[0mcurrSegmentID\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msegRunMap\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'segmentid'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# this only works for one segment -- NOT A LIST\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    559\u001b[0m                                         \u001b[0;31m#print('   currSegmentID:', currSegmentID)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: '>=' not supported between instances of 'list' and 'int'"
     ]
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from pymapmanager import mmMap\n",
    "from pymapmanager.mmUtil import newplotdict\n",
    "from pymapmanager.mmMapPlot2 import mmMapPlot2\n",
    "\n",
    "# load a map\n",
    "filePath = 'exampleMaps/rr30a/rr30a.txt'\n",
    "m = mmMap(filePath=filePath)\n",
    "\n",
    "# creat a plot for the map\n",
    "myPlot = mmMapPlot2(m)\n",
    "\n",
    "# mmMapPlot2 will plot to a figure\n",
    "fig = plt.figure()\n",
    "\n",
    "# specify the segment to plot\n",
    "plotDict = newplotdict()\n",
    "plotDict['segmentid'] = [1]\n",
    "\n",
    "# plot the canonical map manager map\n",
    "myPlot.plotMap0(fig,plotDict)\n",
    "\n",
    "fig.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now use myPlot.plotMap(fig,plotDict) to plot any two map values.\n",
    "\n",
    "- Here we will set 'plotbad' to False so we do not get 'bad' annotations in the results.\n",
    "- The mmMapPlot2.plotMap(fig,plotDict) function will plot any x/y values you specify in plotDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mmMap.getMapValues3() took 0.05 seconds\n"
     ]
    }
   ],
   "source": [
    "myPlot = mmMapPlot2(m)\n",
    "\n",
    "# mmMapPlot2 will plot to a figure\n",
    "fig = plt.figure()\n",
    "\n",
    "# specify the segment to plot with a plotDist\n",
    "plotDict = newplotdict()\n",
    "plotDict['plotbad'] = False\n",
    "plotDict['xstat'] = 'ubsdSum_int2'\n",
    "plotDict['ystat'] = 'ubssSum_int2'\n",
    "plotDict['segmentid'] = None # all segments\n",
    "\n",
    "# plot the canonical map manager map\n",
    "myPlot.plotMap(fig,plotDict)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We are not limited to plotting a single figure, we can plot a number of figures.\n",
    "\n",
    "Here we plot a canonical spine map for each map segment in a map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "TypeError",
     "evalue": "'>=' not supported between instances of 'list' and 'int'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-ce235af0578c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mmyPlot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplotMap0\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mplotDict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Dropbox/PyMapManager/pymapmanager/mmMapPlot2.py\u001b[0m in \u001b[0;36mplotMap0\u001b[0;34m(self, fig, pd)\u001b[0m\n\u001b[1;32m     97\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'ystat'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'pDist'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     98\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'zstat'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'cAngle'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 99\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetMapValues3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    101\u001b[0m         \u001b[0;31m# get spine angle and offset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Dropbox/PyMapManager/pymapmanager/mmMap.py\u001b[0m in \u001b[0;36mgetMapValues3\u001b[0;34m(self, pd)\u001b[0m\n\u001b[1;32m    555\u001b[0m                         \u001b[0mcurrSegmentID\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    556\u001b[0m                         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumMapSegments\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 557\u001b[0;31m                                 \u001b[0;32mif\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'segmentid'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'segmentid'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m>=\u001b[0m\u001b[0;36m0\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    558\u001b[0m                                         \u001b[0mcurrSegmentID\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msegRunMap\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'segmentid'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# this only works for one segment -- NOT A LIST\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    559\u001b[0m                                         \u001b[0;31m#print('   currSegmentID:', currSegmentID)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: '>=' not supported between instances of 'list' and 'int'"
     ]
    }
   ],
   "source": [
    "plotDict = newplotdict()\n",
    "for i in range(m.numMapSegments):\n",
    "    # the current map segment we will plot\n",
    "    plotDict['segmentid'] = [i]\n",
    "\n",
    "    fig = plt.figure()\n",
    "    myPlot.plotMap0(fig,plotDict)\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate spine dynamics for each segment in a map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-9-9baccd16914d>, line 17)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-9-9baccd16914d>\"\u001b[0;36m, line \u001b[0;32m17\u001b[0m\n\u001b[0;31m    print '\\n\\n=== map segment', str(i), '==='\u001b[0m\n\u001b[0m                              ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from IPython.display import display # displays pretty table in ipython\n",
    "\n",
    "from pymapmanager.mmMap import mmMap\n",
    "from pymapmanager.mmUtil import newplotdict\n",
    "from pymapmanager.mmMapAnalysis import getMapDynamics\n",
    "\n",
    "# load a map\n",
    "filePath = 'exampleMaps/rr30a/rr30a.txt'\n",
    "m = mmMap(filePath=filePath)\n",
    "\n",
    "plotDict = newplotdict()\n",
    "plotDict = getMapDynamics(m, plotDict) # this is a stand-alone function, you can write your own\n",
    "\n",
    "# this will make m.numMapSegments tables (5 in this example)\n",
    "for i, segmentReport in enumerate(plotDict):\n",
    "    print '\\n\\n=== map segment', str(i), '==='\n",
    "    display(pd.DataFrame.from_dict(segmentReport, orient='index'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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