pool_wall_reconstruction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy import linalg\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "import pg_fitter_tools as fit\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "nimages = 9\n",
    "nfeatures = 40\n",
    "image_feature_locations = np.zeros((nimages,nfeatures,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "image_feature_locations = {}\n",
    "for i in range(nimages):\n",
    "    image_feature_locations[i] = {}\n",
    "image_feature_locations[0][0] = [2100, 150]\n",
    "image_feature_locations[0][1] = [2092, 319]\n",
    "image_feature_locations[0][2] = [2079, 588]\n",
    "image_feature_locations[0][4] = [2256, 156]\n",
    "image_feature_locations[0][7] = [2182, 1436]\n",
    "image_feature_locations[0][8] = [2134, 2302]\n",
    "image_feature_locations[0][11] = [2516, 162]\n",
    "image_feature_locations[0][12] = [2505, 329]\n",
    "image_feature_locations[0][13] = [2485, 601]\n",
    "image_feature_locations[0][14] = [2419, 1449]\n",
    "image_feature_locations[0][15] = [2356, 2316]\n",
    "image_feature_locations[0][18] = [2660, 334]\n",
    "image_feature_locations[0][19] = [2636, 602]\n",
    "image_feature_locations[1][0] = [1825, 1236]\n",
    "image_feature_locations[1][1] = [1819, 1345]\n",
    "image_feature_locations[1][2] = [1811, 1526]\n",
    "image_feature_locations[1][4] = [1934, 1242]\n",
    "image_feature_locations[1][5] = [1928, 1350]\n",
    "image_feature_locations[1][6] = [1920, 1530]\n",
    "image_feature_locations[1][7] = [1891, 2156]\n",
    "image_feature_locations[1][8] = [1858, 2915]\n",
    "image_feature_locations[1][11] = [2114, 1252]\n",
    "image_feature_locations[1][12] = [2110, 1358]\n",
    "image_feature_locations[1][13] = [2102, 1540]\n",
    "image_feature_locations[1][14] = [2076, 2164]\n",
    "image_feature_locations[1][15] = [2045, 2924]\n",
    "image_feature_locations[1][18] = [2218, 1363]\n",
    "image_feature_locations[1][19] = [2211, 1544]\n",
    "image_feature_locations[1][21] = [3578, 1603]\n",
    "image_feature_locations[1][22] = [3684, 1322]\n",
    "image_feature_locations[1][23] = [3684, 1428]\n",
    "image_feature_locations[1][24] = [3684, 1607]\n",
    "image_feature_locations[1][25] = [3684, 2225]\n",
    "image_feature_locations[1][26] = [3686, 2979]\n",
    "image_feature_locations[1][29] = [3859, 1332]\n",
    "image_feature_locations[1][30] = [3858, 1438]\n",
    "image_feature_locations[1][31] = [3858, 1617]\n",
    "image_feature_locations[1][32] = [3863, 2234]\n",
    "image_feature_locations[1][33] = [3873, 2985]\n",
    "image_feature_locations[1][36] = [3962, 1335]\n",
    "image_feature_locations[1][37] = [3964, 1443]\n",
    "image_feature_locations[1][38] = [3965, 1619]\n",
    "image_feature_locations[2][0] = [1064, 1180]\n",
    "image_feature_locations[2][1] = [1057, 1291]\n",
    "image_feature_locations[2][2] = [1043, 1480]\n",
    "image_feature_locations[2][4] = [1176, 1185]\n",
    "image_feature_locations[2][5] = [1169, 1297]\n",
    "image_feature_locations[2][6] = [1156, 1484]\n",
    "image_feature_locations[2][7] = [1114, 2135]\n",
    "image_feature_locations[2][8] = [1063, 2928]\n",
    "image_feature_locations[2][11] = [1364, 1195]\n",
    "image_feature_locations[2][12] = [1358, 1307]\n",
    "image_feature_locations[2][13] = [1348, 1495]\n",
    "image_feature_locations[2][14] = [1307, 2145]\n",
    "image_feature_locations[2][15] = [1260, 2938]\n",
    "image_feature_locations[2][18] = [1472, 1312]\n",
    "image_feature_locations[2][19] = [1460, 1500]\n",
    "image_feature_locations[2][20] = [2897, 1380]\n",
    "image_feature_locations[2][21] = [2894, 1566]\n",
    "image_feature_locations[2][22] = [3010, 1272]\n",
    "image_feature_locations[2][23] = [3008, 1385]\n",
    "image_feature_locations[2][24] = [3005, 1570]\n",
    "image_feature_locations[2][25] = [2994, 2213]\n",
    "image_feature_locations[2][26] = [2986, 2999]\n",
    "image_feature_locations[2][29] = [3197, 1283]\n",
    "image_feature_locations[2][30] = [3195, 1392]\n",
    "image_feature_locations[2][31] = [3193, 1580]\n",
    "image_feature_locations[2][32] = [3184, 2223]\n",
    "image_feature_locations[2][36] = [3307, 1287]\n",
    "image_feature_locations[2][37] = [3304, 1398]\n",
    "image_feature_locations[2][38] = [3303, 1584]\n",
    "image_feature_locations[3][0] = [1872, 944]\n",
    "image_feature_locations[3][1] = [1868, 1034]\n",
    "image_feature_locations[3][2] = [1862, 1188]\n",
    "image_feature_locations[3][4] = [1964, 949]\n",
    "image_feature_locations[3][5] = [1961, 1040]\n",
    "image_feature_locations[3][6] = [1954, 1191]\n",
    "image_feature_locations[3][7] = [1934, 1720]\n",
    "image_feature_locations[3][8] = [1910, 2358]\n",
    "image_feature_locations[3][11] = [2117, 957]\n",
    "image_feature_locations[3][12] = [2114, 1048]\n",
    "image_feature_locations[3][13] = [2109, 1199]\n",
    "image_feature_locations[3][14] = [2091, 1726]\n",
    "image_feature_locations[3][15] = [2071, 2363]\n",
    "image_feature_locations[3][18] = [2206, 1053]\n",
    "image_feature_locations[3][19] = [2200, 1204]\n",
    "image_feature_locations[3][20] = [3329, 1110]\n",
    "image_feature_locations[3][21] = [3330, 1257]\n",
    "image_feature_locations[3][22] = [3416, 1025]\n",
    "image_feature_locations[3][23] = [3416, 1113]\n",
    "image_feature_locations[3][24] = [3417, 1262]\n",
    "image_feature_locations[3][25] = [3419, 1769]\n",
    "image_feature_locations[3][26] = [3424, 2387]\n",
    "image_feature_locations[3][29] = [3559, 1033]\n",
    "image_feature_locations[3][30] = [3560, 1122]\n",
    "image_feature_locations[3][31] = [3561, 1268]\n",
    "image_feature_locations[3][32] = [3563, 1775]\n",
    "image_feature_locations[3][33] = [3572, 2388]\n",
    "image_feature_locations[3][36] = [3647, 1039]\n",
    "image_feature_locations[3][37] = [3644, 1126]\n",
    "image_feature_locations[3][38] = [3646, 1272]\n",
    "image_feature_locations[4][0] = [1783, 60]\n",
    "image_feature_locations[4][1] = [1777, 145]\n",
    "image_feature_locations[4][2] = [1769, 287]\n",
    "image_feature_locations[4][3] = [1638, 2710]\n",
    "image_feature_locations[4][4] = [1871, 71]\n",
    "image_feature_locations[4][5] = [1866, 154]\n",
    "image_feature_locations[4][6] = [1857, 297]\n",
    "image_feature_locations[4][7] = [1829, 790]\n",
    "image_feature_locations[4][8] = [1798, 1389]\n",
    "image_feature_locations[4][9] = [1764, 2072]\n",
    "image_feature_locations[4][10] = [1734, 2710]\n",
    "image_feature_locations[4][11] = [2019, 86]\n",
    "image_feature_locations[4][12] = [2014, 170]\n",
    "image_feature_locations[4][13] = [2007, 313]\n",
    "image_feature_locations[4][14] = [1981, 803]\n",
    "image_feature_locations[4][15] = [1952, 1399]\n",
    "image_feature_locations[4][16] = [1921, 2077]\n",
    "image_feature_locations[4][17] = [1892, 2715]\n",
    "image_feature_locations[4][18] = [2100, 179]\n",
    "image_feature_locations[4][19] = [2094, 321]\n",
    "image_feature_locations[4][20] = [3152, 298]\n",
    "image_feature_locations[4][21] = [3151, 433]\n",
    "image_feature_locations[4][23] = [3231, 308]\n",
    "image_feature_locations[4][24] = [3230, 442]\n",
    "image_feature_locations[4][25] = [3223, 906]\n",
    "image_feature_locations[4][26] = [3218, 1474]\n",
    "image_feature_locations[4][27] = [3212, 2117]\n",
    "image_feature_locations[4][28] = [3206, 2717]\n",
    "image_feature_locations[4][29] = [3364, 243]\n",
    "image_feature_locations[4][30] = [3361, 321]\n",
    "image_feature_locations[4][31] = [3361, 457]\n",
    "image_feature_locations[4][32] = [3358, 917]\n",
    "image_feature_locations[4][33] = [3354, 1481]\n",
    "image_feature_locations[4][34] = [3352, 2121]\n",
    "image_feature_locations[4][35] = [3349, 2720]\n",
    "image_feature_locations[4][36] = [3440, 251]\n",
    "image_feature_locations[4][37] = [3439, 332]\n",
    "image_feature_locations[4][38] = [3439, 462]\n",
    "image_feature_locations[4][39] = [3438, 2723]\n",
    "image_feature_locations[5][3] = [317, 1561]\n",
    "image_feature_locations[5][10] = [468, 1564]\n",
    "image_feature_locations[5][17] = [713, 1570]\n",
    "image_feature_locations[5][27] = [2731, 736]\n",
    "image_feature_locations[5][28] = [2660, 1605]\n",
    "image_feature_locations[5][34] = [2939, 749]\n",
    "image_feature_locations[5][35] = [2857, 1607]\n",
    "image_feature_locations[5][39] = [2975, 1610]\n",
    "image_feature_locations[6][3] = [1029, 1322]\n",
    "image_feature_locations[6][9] = [1137, 406]\n",
    "image_feature_locations[6][10] = [1159, 1327]\n",
    "image_feature_locations[6][16] = [1369, 417]\n",
    "image_feature_locations[6][17] = [1374, 1337]\n",
    "image_feature_locations[6][27] = [3391, 497]\n",
    "image_feature_locations[6][28] = [3257, 1398]\n",
    "image_feature_locations[6][34] = [3616, 506]\n",
    "image_feature_locations[6][35] = [3468, 1407]\n",
    "image_feature_locations[6][39] = [3600, 1413]\n",
    "image_feature_locations[7][0] = [1895, 756]\n",
    "image_feature_locations[7][1] = [1887, 953]\n",
    "image_feature_locations[7][2] = [1873, 1277]\n",
    "image_feature_locations[7][4] = [2090, 764]\n",
    "image_feature_locations[7][5] = [2081, 960]\n",
    "image_feature_locations[7][6] = [2065, 1284]\n",
    "image_feature_locations[7][7] = [2018, 2348]\n",
    "image_feature_locations[7][11] = [2412, 777]\n",
    "image_feature_locations[7][12] = [2402, 974]\n",
    "image_feature_locations[7][13] = [2387, 1299]\n",
    "image_feature_locations[7][14] = [2330, 2361]\n",
    "image_feature_locations[7][18] = [2596, 982]\n",
    "image_feature_locations[7][19] = [2576, 1307]\n",
    "image_feature_locations[8][3] = [1082, 1821]\n",
    "image_feature_locations[8][8] = [1209, 509]\n",
    "image_feature_locations[8][9] = [1190, 1206]\n",
    "image_feature_locations[8][10] = [1175, 1825]\n",
    "image_feature_locations[8][15] = [1365, 513]\n",
    "image_feature_locations[8][16] = [1345, 1211]\n",
    "image_feature_locations[8][17] = [1328, 1833]\n",
    "image_feature_locations[8][26] = [2767, 551]\n",
    "image_feature_locations[8][27] = [2733, 1258]\n",
    "image_feature_locations[8][28] = [2700, 1885]\n",
    "image_feature_locations[8][33] = [2928, 553]\n",
    "image_feature_locations[8][34] = [2894, 1263]\n",
    "image_feature_locations[8][35] = [2858, 1891]\n",
    "image_feature_locations[8][39] = [2956, 1896]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "true_feature_locations = {\n",
    "    0: [0, 4419.6, 0],\n",
    "    1: [0, 4267.2, 0],\n",
    "    2: [0, 4013.2, 0],\n",
    "    3: [0, 0, 0],\n",
    "    4: [152.4, 4419.6, 0],\n",
    "    5: [152.4, 4267.2, 0],\n",
    "    6: [152.4, 4013.2, 0],\n",
    "    7: [152.4, 3149.6, 0],\n",
    "    8: [152.4, 2133.6, 0],\n",
    "    9: [152.4, 1016, 0],\n",
    "    10: [152.4, 0, 0],\n",
    "    11: [406.4, 4419.6, 0],\n",
    "    12: [406.4, 4267.2, 0],\n",
    "    13: [406.4, 4013.2, 0],\n",
    "    14: [406.4, 3149.6, 0],\n",
    "    15: [406.4, 2133.6, 0],\n",
    "    16: [406.4, 1016, 0],\n",
    "    17: [406.4, 0, 0],\n",
    "    18: [558.8, 4267.2, 0],\n",
    "    19: [558.8, 4013.2, 0],\n",
    "    20: [2489.2, 4267.2, 0],\n",
    "    21: [2489.2, 4013.2, 0],\n",
    "    22: [2641.6, 4419.6, 0],\n",
    "    23: [2641.6, 4267.2, 0],\n",
    "    24: [2641.6, 4013.2, 0],\n",
    "    25: [2641.6, 3149.6, 0],\n",
    "    26: [2641.6, 2133.6, 0],\n",
    "    27: [2641.6, 1016, 0],\n",
    "    28: [2641.6, 0, 0],\n",
    "    29: [2895.6, 4419.6, 0],\n",
    "    30: [2895.6, 4267.2, 0],\n",
    "    31: [2895.6, 4013.2, 0],\n",
    "    32: [2895.6, 3149.6, 0],\n",
    "    33: [2895.6, 2133.6, 0],\n",
    "    34: [2895.6, 1016, 0],\n",
    "    35: [2895.6, 0, 0],\n",
    "    36: [3048, 4419.6, 0],\n",
    "    37: [3048, 4267.2, 0],\n",
    "    38: [3048, 4013.2, 0],\n",
    "    39: [3048, 0, 0]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "is_executing": false
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "focal_length = [2.760529621789217e+03, 2.767014510543478e+03]\n",
    "principle_point = [1.914303537872458e+03, 1.596386868474348e+03]\n",
    "seed_feature_locations = {i: np.random.normal(f, 20) for i, f in true_feature_locations.items()}\n",
    "fitter = fit.PhotogrammetryFitter(image_feature_locations, seed_feature_locations, focal_length, principle_point)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image 0 reprojection errors:    average: 26.76659128044236    max: 39.43314917067798\n",
      "image 1 reprojection errors:    average: 27.603617548907362    max: 51.85372881376713\n",
      "image 2 reprojection errors:    average: 47.87213226909854    max: 173.2131899593918\n",
      "image 3 reprojection errors:    average: 17.322334431191955    max: 39.313274132215284\n",
      "image 4 reprojection errors:    average: 16.015608923184146    max: 40.401452073758406\n",
      "image 5 reprojection errors:    average: 67.02875998721294    max: 128.26012441678094\n",
      "image 6 reprojection errors:    average: 17.764233607295377    max: 31.99559952359712\n",
      "image 7 reprojection errors:    average: 34.5372180615485    max: 73.23924625661259\n",
      "image 8 reprojection errors:    average: 64.12703515417488    max: 108.4149302978201\n"
     ]
    }
   ],
   "source": [
    "camera_rotations, camera_translations, reprojected_points = fitter.estimate_camera_poses(flags=cv2.SOLVEPNP_EPNP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "`ftol` termination condition is satisfied.\n",
      "Function evaluations 1935, initial cost 1.4883e+05, final cost 8.5543e+01, first-order optimality 1.00e-02.\n",
      "mean reprojection error: 0.8243544052063382\n",
      "max reprojection error: 2.9817143456275472\n"
     ]
    }
   ],
   "source": [
    "camera_rotations, camera_translations, reco_locations = fitter.bundle_adjustment(camera_rotations, camera_translations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "pycharm": {
     "is_executing": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean reconstruction error: 9.891282672491865\n",
      "max reconstruction error: 27.432415885637518\n"
     ]
    }
   ],
   "source": [
    "errors, reco_transformed, scale, R, translation, location_mean = fit.kabsch_errors(\n",
    "    true_feature_locations, reco_locations)\n",
    "print(\"mean reconstruction error:\", linalg.norm(errors, axis=1).mean())\n",
    "print(\"max reconstruction error:\", linalg.norm(errors, axis=1).max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "camera_orientations, camera_positions = fit.camera_world_poses(camera_rotations, camera_translations)\n",
    "camera_orientations = np.matmul(R, camera_orientations)\n",
    "camera_positions = camera_positions - translation\n",
    "camera_positions = scale*R.dot(camera_positions.transpose()).transpose() + location_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
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       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f18c6098fa0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.scatter(true_translated[:,0], true_translated[:,1], true_translated[:,2], marker='o', label=\"true\")\n",
    "ax.scatter(reco_transformed[:,0], reco_transformed[:,1], reco_transformed[:,2], marker='^', label=\"reco\")\n",
    "ax.scatter(camera_positions[:,0], camera_positions[:,1], camera_positions[:,2], marker='*', label=\"camera\")\n",
    "plt.legend(loc=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "ax.hist(linalg.norm(errors, axis=1), bins='auto')\n",
    "ax.set_title(\"Reconstructed position error ({} images, {} features), mean = {:.2f} cm\".format(\n",
    "    nimages, nfeatures, linalg.norm(errors, axis=1).mean()))\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "ax.hist(errors[:,0], bins='auto')\n",
    "ax.set_title(\"Reconstructed position error in x-dir\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "ax.hist(errors[:,1], bins='auto')\n",
    "ax.set_title(\"Reconstructed position error in y-dir\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "ax.hist(errors[:,2], bins='auto')\n",
    "ax.set_title(\"Reconstructed position error in z-dir\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}