2017-10-25_JC2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a935b124e8164e0d8c40856889d586e5"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "import torch\n",
    "from torch.autograd import Variable\n",
    "from torch import Tensor\n",
    "import io\n",
    "import requests\n",
    "from torch import nn\n",
    "import geopandas as gpd\n",
    "\n",
    "tqdm().pandas()\n",
    "%matplotlib notebook\n",
    "%run utils.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gdf = gpd.read_file('data/line.geojson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>Street</th>\n",
       "      <th>SAFStreetName</th>\n",
       "      <th>FeatureTyp</th>\n",
       "      <th>SegmentTyp</th>\n",
       "      <th>IncExFlag</th>\n",
       "      <th>RB_Layer</th>\n",
       "      <th>NonPed</th>\n",
       "      <th>TrafDir</th>\n",
       "      <th>TrafSrc</th>\n",
       "      <th>...</th>\n",
       "      <th>LHi_Hyphen</th>\n",
       "      <th>RLo_Hyphen</th>\n",
       "      <th>RHi_Hyphen</th>\n",
       "      <th>FromLeft</th>\n",
       "      <th>ToLeft</th>\n",
       "      <th>FromRight</th>\n",
       "      <th>ToRight</th>\n",
       "      <th>Join_ID</th>\n",
       "      <th>Shape__Length</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>EAST 168 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>699</td>\n",
       "      <td>596</td>\n",
       "      <td>716</td>\n",
       "      <td>599</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>WEST 192 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>98</td>\n",
       "      <td>63</td>\n",
       "      <td>99</td>\n",
       "      <td>58</td>\n",
       "      <td>98</td>\n",
       "      <td>63</td>\n",
       "      <td>99</td>\n",
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       "      <td>LINESTRING (-73.901202101452 40.8666213684178,...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>UNION AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1079</td>\n",
       "      <td>1016</td>\n",
       "      <td>1084</td>\n",
       "      <td>1017</td>\n",
       "      <td>1079</td>\n",
       "      <td>1016</td>\n",
       "      <td>1084</td>\n",
       "      <td>2728001000000</td>\n",
       "      <td>0.001752</td>\n",
       "      <td>LINESTRING (-73.9011781129234 40.8243971910923...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>UNION AVENUE</td>\n",
       "      <td>BEHAGEN PLAYGROUND</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>LINESTRING (-73.9011781129234 40.8243971910923...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>DELAFIELD AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>6</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>4645</td>\n",
       "      <td>4600</td>\n",
       "      <td>4664</td>\n",
       "      <td>4601</td>\n",
       "      <td>4645</td>\n",
       "      <td>4600</td>\n",
       "      <td>4664</td>\n",
       "      <td>2187601000000</td>\n",
       "      <td>0.001840</td>\n",
       "      <td>LINESTRING (-73.9069580625364 40.893616230432,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>WEST 252 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2814401000000</td>\n",
       "      <td>0.000059</td>\n",
       "      <td>LINESTRING (-73.9070665288923 40.8992824378204...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>CLAREMONT PARKWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>439</td>\n",
       "      <td>400</td>\n",
       "      <td>416</td>\n",
       "      <td>401</td>\n",
       "      <td>439</td>\n",
       "      <td>400</td>\n",
       "      <td>416</td>\n",
       "      <td>2147601000000</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>LINESTRING (-73.9053850046466 40.8397772683225...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>TOPPING AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1849</td>\n",
       "      <td>1800</td>\n",
       "      <td>1838</td>\n",
       "      <td>1801</td>\n",
       "      <td>1849</td>\n",
       "      <td>1800</td>\n",
       "      <td>1838</td>\n",
       "      <td>2718001000000</td>\n",
       "      <td>0.000802</td>\n",
       "      <td>LINESTRING (-73.9055885394703 40.8466972761627...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>EAST 175 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>299</td>\n",
       "      <td>260</td>\n",
       "      <td>298</td>\n",
       "      <td>261</td>\n",
       "      <td>299</td>\n",
       "      <td>260</td>\n",
       "      <td>298</td>\n",
       "      <td>2255001000000</td>\n",
       "      <td>0.000901</td>\n",
       "      <td>LINESTRING (-73.9055885394703 40.8466972761627...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>WEST 234 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>298</td>\n",
       "      <td>281</td>\n",
       "      <td>299</td>\n",
       "      <td>278</td>\n",
       "      <td>298</td>\n",
       "      <td>281</td>\n",
       "      <td>299</td>\n",
       "      <td>2805201000000</td>\n",
       "      <td>0.000871</td>\n",
       "      <td>LINESTRING (-73.90495672779829 40.882886505190...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>DAVIDSON AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>2269</td>\n",
       "      <td>2250</td>\n",
       "      <td>2268</td>\n",
       "      <td>2251</td>\n",
       "      <td>2269</td>\n",
       "      <td>2250</td>\n",
       "      <td>2268</td>\n",
       "      <td>2182001000000</td>\n",
       "      <td>0.000757</td>\n",
       "      <td>LINESTRING (-73.9052653178272 40.8580554661155...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>FULTON AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1403</td>\n",
       "      <td>1294</td>\n",
       "      <td>1406</td>\n",
       "      <td>1291</td>\n",
       "      <td>1403</td>\n",
       "      <td>1294</td>\n",
       "      <td>1406</td>\n",
       "      <td>2334801000000</td>\n",
       "      <td>0.002878</td>\n",
       "      <td>LINESTRING (-73.90343643753749 40.832224664060...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>FULTON AVENUE</td>\n",
       "      <td>DREW PLAYGROUND</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21216501000000N</td>\n",
       "      <td>0.002878</td>\n",
       "      <td>LINESTRING (-73.90343643753749 40.832224664060...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>INDIAN ROAD</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2400401000000</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>LINESTRING (-73.9032254201114 40.8958188728286...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>EAST 173 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>499</td>\n",
       "      <td>480</td>\n",
       "      <td>498</td>\n",
       "      <td>481</td>\n",
       "      <td>499</td>\n",
       "      <td>480</td>\n",
       "      <td>498</td>\n",
       "      <td>2253501000000</td>\n",
       "      <td>0.001012</td>\n",
       "      <td>LINESTRING (-73.9011194192623 40.8416070237177...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>JEROME AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>2149</td>\n",
       "      <td>2050</td>\n",
       "      <td>2148</td>\n",
       "      <td>2051</td>\n",
       "      <td>2149</td>\n",
       "      <td>2050</td>\n",
       "      <td>2148</td>\n",
       "      <td>2410001000000</td>\n",
       "      <td>0.002644</td>\n",
       "      <td>LINESTRING (-73.90733432264059 40.853824701928...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>GRAND CONCOURSE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1869</td>\n",
       "      <td>1830</td>\n",
       "      <td>1868</td>\n",
       "      <td>1835</td>\n",
       "      <td>1869</td>\n",
       "      <td>1830</td>\n",
       "      <td>1868</td>\n",
       "      <td>2352001000000</td>\n",
       "      <td>0.001045</td>\n",
       "      <td>LINESTRING (-73.90753267801939 40.847824448930...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>WEST 230 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>210</td>\n",
       "      <td>201</td>\n",
       "      <td>229</td>\n",
       "      <td>200</td>\n",
       "      <td>210</td>\n",
       "      <td>201</td>\n",
       "      <td>229</td>\n",
       "      <td>2802401000000</td>\n",
       "      <td>0.000571</td>\n",
       "      <td>LINESTRING (-73.9068886266418 40.8769839359736...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>WEST 230 STREET</td>\n",
       "      <td>MARBLE HILL HOUSES BUILDING 11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24922512000000X</td>\n",
       "      <td>0.000571</td>\n",
       "      <td>LINESTRING (-73.9068886266418 40.8769839359736...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>WEST 230 STREET</td>\n",
       "      <td>MARBLE HILL HOUSES BUILDING 10</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24922508000000X</td>\n",
       "      <td>0.000571</td>\n",
       "      <td>LINESTRING (-73.9068886266418 40.8769839359736...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>NAPLES TERRACE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>230</td>\n",
       "      <td>217</td>\n",
       "      <td>231</td>\n",
       "      <td>200</td>\n",
       "      <td>230</td>\n",
       "      <td>217</td>\n",
       "      <td>231</td>\n",
       "      <td>2494801000000</td>\n",
       "      <td>0.000407</td>\n",
       "      <td>LINESTRING (-73.90493630394479 40.879686331464...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>EAST 149 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>870</td>\n",
       "      <td>884</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>870</td>\n",
       "      <td>884</td>\n",
       "      <td>2241501000000</td>\n",
       "      <td>0.000813</td>\n",
       "      <td>LINESTRING (-73.90341862543769 40.811515162153...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>EAST 149 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>889</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>871</td>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2241501000000</td>\n",
       "      <td>0.000914</td>\n",
       "      <td>LINESTRING (-73.90341862543769 40.811515162153...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>EAST 149 STREET</td>\n",
       "      <td>MARTIN LUTHER KING TRI E 149 ST</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20000101000000N</td>\n",
       "      <td>0.000914</td>\n",
       "      <td>LINESTRING (-73.90341862543769 40.811515162153...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>BATHGATE AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1675</td>\n",
       "      <td>1618</td>\n",
       "      <td>1674</td>\n",
       "      <td>1619</td>\n",
       "      <td>1675</td>\n",
       "      <td>1618</td>\n",
       "      <td>1674</td>\n",
       "      <td>2080401020000</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>LINESTRING (-73.900915923602 40.8399427366285,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>EXTERIOR STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2312801020000</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>LINESTRING (-73.9062543538892 40.8764205523284...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>EAST 150 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>805</td>\n",
       "      <td>776</td>\n",
       "      <td>798</td>\n",
       "      <td>777</td>\n",
       "      <td>805</td>\n",
       "      <td>776</td>\n",
       "      <td>798</td>\n",
       "      <td>2242001000000</td>\n",
       "      <td>0.000940</td>\n",
       "      <td>LINESTRING (-73.9069676360907 40.813660185217,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>CRESTON AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1979</td>\n",
       "      <td>1960</td>\n",
       "      <td>1980</td>\n",
       "      <td>1967</td>\n",
       "      <td>1979</td>\n",
       "      <td>1960</td>\n",
       "      <td>1980</td>\n",
       "      <td>2168801000000</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>LINESTRING (-73.90698614927879 40.850390773418...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>WEST 250 STREET</td>\n",
       "      <td></td>\n",
       "      <td>6</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>432</td>\n",
       "      <td>421</td>\n",
       "      <td>439</td>\n",
       "      <td>420</td>\n",
       "      <td>432</td>\n",
       "      <td>421</td>\n",
       "      <td>439</td>\n",
       "      <td>2813601000000</td>\n",
       "      <td>0.000677</td>\n",
       "      <td>LINESTRING (-73.90478275139991 40.897494592566...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>WEST 232 STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>248</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>230</td>\n",
       "      <td>248</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2804001000000</td>\n",
       "      <td>0.000847</td>\n",
       "      <td>LINESTRING (-73.9047110415589 40.8805624870493...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>1971</td>\n",
       "      <td>MAJOR DEEGAN EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2456401040000</td>\n",
       "      <td>0.001560</td>\n",
       "      <td>LINESTRING (-73.90339582391999 40.879002487483...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>1972</td>\n",
       "      <td>CONNER STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2160801020000</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>LINESTRING (-73.8256515676437 40.8838791602976...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>1973</td>\n",
       "      <td>ALEXANDER HAMILTON BRIDGE APPR</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2057501020000</td>\n",
       "      <td>0.000672</td>\n",
       "      <td>LINESTRING (-73.92658772057121 40.845095572477...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>1974</td>\n",
       "      <td>HUTCHINSON RIVER PARKWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2397201070000</td>\n",
       "      <td>0.000660</td>\n",
       "      <td>LINESTRING (-73.83830665254639 40.840651006114...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974</th>\n",
       "      <td>1975</td>\n",
       "      <td>MAJOR DEEGAN EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2456401030000</td>\n",
       "      <td>0.001328</td>\n",
       "      <td>LINESTRING (-73.93210619568249 40.831005844137...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975</th>\n",
       "      <td>1976</td>\n",
       "      <td>HALLECK STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>699</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>601</td>\n",
       "      <td>699</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2360901020000</td>\n",
       "      <td>0.002373</td>\n",
       "      <td>LINESTRING (-73.8812708454396 40.8129167922266...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1976</th>\n",
       "      <td>1977</td>\n",
       "      <td>BRUCKNER EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2115201020406</td>\n",
       "      <td>0.001106</td>\n",
       "      <td>LINESTRING (-73.87699337325959 40.823744257596...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1977</th>\n",
       "      <td>1978</td>\n",
       "      <td>HENRY HUDSON PARKWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2376401050000</td>\n",
       "      <td>0.000452</td>\n",
       "      <td>LINESTRING (-73.9039632980984 40.9010438389927...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1978</th>\n",
       "      <td>1979</td>\n",
       "      <td>BRONX RIVER PARKWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2111601020000</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>LINESTRING (-73.872271701873 40.8416948414667,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1979</th>\n",
       "      <td>1980</td>\n",
       "      <td>CROSS BRONX EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2172001050000</td>\n",
       "      <td>0.001909</td>\n",
       "      <td>LINESTRING (-73.87933256246779 40.837078702946...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>1981</td>\n",
       "      <td>MAJOR DEEGAN EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2456401030000</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>LINESTRING (-73.89652211472399 40.885945283238...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981</th>\n",
       "      <td>1982</td>\n",
       "      <td>CROSS BRONX EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2172001050000</td>\n",
       "      <td>0.000666</td>\n",
       "      <td>LINESTRING (-73.87369083143891 40.836397930685...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982</th>\n",
       "      <td>1983</td>\n",
       "      <td>BRONX RIVER PARKWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2111601030000</td>\n",
       "      <td>0.004013</td>\n",
       "      <td>LINESTRING (-73.8721068108448 40.8715174595021...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983</th>\n",
       "      <td>1984</td>\n",
       "      <td>ALEXANDER HAMILTON BRIDGE APPR</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2057501030000</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>LINESTRING (-73.92527797754769 40.844741324260...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1984</th>\n",
       "      <td>1985</td>\n",
       "      <td>CROSS BRONX EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2172001050000</td>\n",
       "      <td>0.000482</td>\n",
       "      <td>LINESTRING (-73.89527107238 40.8437755632791, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1985</th>\n",
       "      <td>1986</td>\n",
       "      <td>ESPLANADE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>1099</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1081</td>\n",
       "      <td>1099</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2310801020000</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>LINESTRING (-73.8579630986312 40.8564896913816...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>1987</td>\n",
       "      <td>MAJOR DEEGAN EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2456401040000</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>LINESTRING (-73.92674738452121 40.845131441641...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>1988</td>\n",
       "      <td>BRONX RIVER PARKWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2111601020000</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>LINESTRING (-73.8713916256597 40.8520165152246...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>1989</td>\n",
       "      <td>CROSS BRONX EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2172001060000</td>\n",
       "      <td>0.001068</td>\n",
       "      <td>LINESTRING (-73.9183935528893 40.8450129035541...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>1990</td>\n",
       "      <td>NEW ENGLAND THRUWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2497601050000</td>\n",
       "      <td>0.000927</td>\n",
       "      <td>LINESTRING (-73.8266432701913 40.8834587150464...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>1991</td>\n",
       "      <td>WHITESTONE BRIDGE APPROACH</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2112201020000</td>\n",
       "      <td>0.007421</td>\n",
       "      <td>LINESTRING (-73.83570025281421 40.811204255377...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>1992</td>\n",
       "      <td>CONNER STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2160801030000</td>\n",
       "      <td>0.000282</td>\n",
       "      <td>LINESTRING (-73.82558442182339 40.883622284525...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>1993</td>\n",
       "      <td>MAJOR DEEGAN EXPRESSWAY</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>R</td>\n",
       "      <td></td>\n",
       "      <td>R</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2456401030000</td>\n",
       "      <td>0.001622</td>\n",
       "      <td>LINESTRING (-73.92088259299921 40.852236829774...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>1994</td>\n",
       "      <td>PRATT AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>3939</td>\n",
       "      <td>3900</td>\n",
       "      <td>3942</td>\n",
       "      <td>3901</td>\n",
       "      <td>3939</td>\n",
       "      <td>3900</td>\n",
       "      <td>3942</td>\n",
       "      <td>2584401000000</td>\n",
       "      <td>0.001226</td>\n",
       "      <td>LINESTRING (-73.83445364366101 40.889371353239...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>1995</td>\n",
       "      <td>BOSTON ROAD</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>3071</td>\n",
       "      <td>3000</td>\n",
       "      <td>3048</td>\n",
       "      <td>3001</td>\n",
       "      <td>3071</td>\n",
       "      <td>3000</td>\n",
       "      <td>3048</td>\n",
       "      <td>2099201000000</td>\n",
       "      <td>0.001231</td>\n",
       "      <td>LINESTRING (-73.857451545524 40.8695408121794,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1996</td>\n",
       "      <td>BOLTON AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td>699</td>\n",
       "      <td>600</td>\n",
       "      <td>698</td>\n",
       "      <td>601</td>\n",
       "      <td>699</td>\n",
       "      <td>600</td>\n",
       "      <td>698</td>\n",
       "      <td>2097201000000</td>\n",
       "      <td>0.002165</td>\n",
       "      <td>LINESTRING (-73.85827397933031 40.817637388676...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1997</td>\n",
       "      <td>HALLECK STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>T</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2360901000000</td>\n",
       "      <td>0.000066</td>\n",
       "      <td>LINESTRING (-73.8792890201246 40.8055899956712...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>1998</td>\n",
       "      <td>COMMONWEALTH AVENUE</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DOT</td>\n",
       "      <td>...</td>\n",
       "      <td>749</td>\n",
       "      <td>700</td>\n",
       "      <td>748</td>\n",
       "      <td>701</td>\n",
       "      <td>749</td>\n",
       "      <td>700</td>\n",
       "      <td>748</td>\n",
       "      <td>2158001000000</td>\n",
       "      <td>0.001787</td>\n",
       "      <td>LINESTRING (-73.8652382944077 40.8188828783617...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>1999</td>\n",
       "      <td>UNNAMED STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td>V</td>\n",
       "      <td>W</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2730201000000</td>\n",
       "      <td>0.000696</td>\n",
       "      <td>LINESTRING (-73.8710640862064 40.8465222065443...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>2000</td>\n",
       "      <td>UNNAMED STREET</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td></td>\n",
       "      <td>B</td>\n",
       "      <td></td>\n",
       "      <td>A</td>\n",
       "      <td>DCP</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2730201000000</td>\n",
       "      <td>0.000560</td>\n",
       "      <td>LINESTRING (-73.8703568005696 40.8466321024667...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 118 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      OBJECTID                          Street  \\\n",
       "0            1                 EAST 168 STREET   \n",
       "1            2                 WEST 192 STREET   \n",
       "2            3                    UNION AVENUE   \n",
       "3            4                    UNION AVENUE   \n",
       "4            5                DELAFIELD AVENUE   \n",
       "5            6                 WEST 252 STREET   \n",
       "6            7               CLAREMONT PARKWAY   \n",
       "7            8                  TOPPING AVENUE   \n",
       "8            9                 EAST 175 STREET   \n",
       "9           10                 WEST 234 STREET   \n",
       "10          11                 DAVIDSON AVENUE   \n",
       "11          12                   FULTON AVENUE   \n",
       "12          13                   FULTON AVENUE   \n",
       "13          14                     INDIAN ROAD   \n",
       "14          15                 EAST 173 STREET   \n",
       "15          16                   JEROME AVENUE   \n",
       "16          17                 GRAND CONCOURSE   \n",
       "17          18                 WEST 230 STREET   \n",
       "18          19                 WEST 230 STREET   \n",
       "19          20                 WEST 230 STREET   \n",
       "20          21                  NAPLES TERRACE   \n",
       "21          22                 EAST 149 STREET   \n",
       "22          23                 EAST 149 STREET   \n",
       "23          24                 EAST 149 STREET   \n",
       "24          25                 BATHGATE AVENUE   \n",
       "25          26                 EXTERIOR STREET   \n",
       "26          27                 EAST 150 STREET   \n",
       "27          28                  CRESTON AVENUE   \n",
       "28          29                 WEST 250 STREET   \n",
       "29          30                 WEST 232 STREET   \n",
       "...        ...                             ...   \n",
       "1970      1971         MAJOR DEEGAN EXPRESSWAY   \n",
       "1971      1972                   CONNER STREET   \n",
       "1972      1973  ALEXANDER HAMILTON BRIDGE APPR   \n",
       "1973      1974        HUTCHINSON RIVER PARKWAY   \n",
       "1974      1975         MAJOR DEEGAN EXPRESSWAY   \n",
       "1975      1976                  HALLECK STREET   \n",
       "1976      1977             BRUCKNER EXPRESSWAY   \n",
       "1977      1978            HENRY HUDSON PARKWAY   \n",
       "1978      1979             BRONX RIVER PARKWAY   \n",
       "1979      1980          CROSS BRONX EXPRESSWAY   \n",
       "1980      1981         MAJOR DEEGAN EXPRESSWAY   \n",
       "1981      1982          CROSS BRONX EXPRESSWAY   \n",
       "1982      1983             BRONX RIVER PARKWAY   \n",
       "1983      1984  ALEXANDER HAMILTON BRIDGE APPR   \n",
       "1984      1985          CROSS BRONX EXPRESSWAY   \n",
       "1985      1986                       ESPLANADE   \n",
       "1986      1987         MAJOR DEEGAN EXPRESSWAY   \n",
       "1987      1988             BRONX RIVER PARKWAY   \n",
       "1988      1989          CROSS BRONX EXPRESSWAY   \n",
       "1989      1990             NEW ENGLAND THRUWAY   \n",
       "1990      1991      WHITESTONE BRIDGE APPROACH   \n",
       "1991      1992                   CONNER STREET   \n",
       "1992      1993         MAJOR DEEGAN EXPRESSWAY   \n",
       "1993      1994                    PRATT AVENUE   \n",
       "1994      1995                     BOSTON ROAD   \n",
       "1995      1996                   BOLTON AVENUE   \n",
       "1996      1997                  HALLECK STREET   \n",
       "1997      1998             COMMONWEALTH AVENUE   \n",
       "1998      1999                  UNNAMED STREET   \n",
       "1999      2000                  UNNAMED STREET   \n",
       "\n",
       "                         SAFStreetName FeatureTyp SegmentTyp IncExFlag  \\\n",
       "0                                               0          U             \n",
       "1                                               0          U             \n",
       "2                                               0          U             \n",
       "3     BEHAGEN PLAYGROUND                        0          U             \n",
       "4                                               6          U             \n",
       "5                                               0          U             \n",
       "6                                               0          U             \n",
       "7                                               0          U             \n",
       "8                                               0          U             \n",
       "9                                               0          U             \n",
       "10                                              0          U             \n",
       "11                                              0          U             \n",
       "12    DREW PLAYGROUND                           0          U             \n",
       "13                                              0          U             \n",
       "14                                              0          U             \n",
       "15                                              0          U             \n",
       "16                                              0          B             \n",
       "17                                              0          U             \n",
       "18    MARBLE HILL HOUSES BUILDING 11            0          U             \n",
       "19    MARBLE HILL HOUSES BUILDING 10            0          U             \n",
       "20                                              0          U             \n",
       "21                                              0          U             \n",
       "22                                              0          U             \n",
       "23    MARTIN LUTHER KING TRI E 149 ST           0          U             \n",
       "24                                              0          U             \n",
       "25                                              0          R             \n",
       "26                                              0          U             \n",
       "27                                              0          U             \n",
       "28                                              6          U             \n",
       "29                                              0          U             \n",
       "...                                ...        ...        ...       ...   \n",
       "1970                                            0          R             \n",
       "1971                                            0          R             \n",
       "1972                                            0          R             \n",
       "1973                                            0          R             \n",
       "1974                                            0          R             \n",
       "1975                                            0          R             \n",
       "1976                                            0          R             \n",
       "1977                                            0          R             \n",
       "1978                                            0          R             \n",
       "1979                                            0          R             \n",
       "1980                                            0          R             \n",
       "1981                                            0          R             \n",
       "1982                                            0          R             \n",
       "1983                                            0          R             \n",
       "1984                                            0          R             \n",
       "1985                                            0          R             \n",
       "1986                                            0          R             \n",
       "1987                                            0          R             \n",
       "1988                                            0          R             \n",
       "1989                                            0          R             \n",
       "1990                                            0          R             \n",
       "1991                                            0          R             \n",
       "1992                                            0          R             \n",
       "1993                                            0          U             \n",
       "1994                                            0          U             \n",
       "1995                                            0          U             \n",
       "1996                                            0          U             \n",
       "1997                                            0          U             \n",
       "1998                                            0          E             \n",
       "1999                                            0          U             \n",
       "\n",
       "     RB_Layer NonPed TrafDir TrafSrc  \\\n",
       "0           B              T     DOT   \n",
       "1           B              A     DOT   \n",
       "2           B              W     DOT   \n",
       "3           B              W     DOT   \n",
       "4           B              T     DOT   \n",
       "5           B              T     DCP   \n",
       "6           B              T     DOT   \n",
       "7           B              W     DOT   \n",
       "8           B              T     DOT   \n",
       "9           B              T     DOT   \n",
       "10          B              W     DOT   \n",
       "11          B              W     DOT   \n",
       "12          B              W     DOT   \n",
       "13          B              T     DCP   \n",
       "14          B              A     DOT   \n",
       "15          B              T     DOT   \n",
       "16          B              T     DOT   \n",
       "17          B              T     DOT   \n",
       "18          B              T     DOT   \n",
       "19          B              T     DOT   \n",
       "20          B              T     DOT   \n",
       "21          B              T     DOT   \n",
       "22          B              T     DOT   \n",
       "23          B              T     DOT   \n",
       "24          B              A     DOT   \n",
       "25          R              W     DOT   \n",
       "26          B              W     DOT   \n",
       "27          B              A     DOT   \n",
       "28          B              T     DOT   \n",
       "29          B              T     DOT   \n",
       "...       ...    ...     ...     ...   \n",
       "1970        R      V       A     DCP   \n",
       "1971        R              W     DCP   \n",
       "1972        R      V       A     DCP   \n",
       "1973        R      V       W     DCP   \n",
       "1974        R      V       W     DCP   \n",
       "1975        R              A     DOT   \n",
       "1976        R      V       W     DCP   \n",
       "1977        R      V       W     DCP   \n",
       "1978        R      V       W     DCP   \n",
       "1979        R      V       A     DCP   \n",
       "1980        R      V       W     DCP   \n",
       "1981        R      V       A     DCP   \n",
       "1982        R      V       A     DCP   \n",
       "1983        R      V       W     DCP   \n",
       "1984        R      V       A     DCP   \n",
       "1985        R              A     DOT   \n",
       "1986        R      V       A     DCP   \n",
       "1987        R      V       W     DCP   \n",
       "1988        R      V       W     DCP   \n",
       "1989        R      V       W     DCP   \n",
       "1990        R      V       W     DCP   \n",
       "1991        R              A     DCP   \n",
       "1992        R      V       W     DCP   \n",
       "1993        B              T     DOT   \n",
       "1994        B              T     DOT   \n",
       "1995        B              T     DCP   \n",
       "1996        B              T     DCP   \n",
       "1997        B              A     DOT   \n",
       "1998        B      V       W     DCP   \n",
       "1999        B              A     DCP   \n",
       "\n",
       "                            ...                         LHi_Hyphen RLo_Hyphen  \\\n",
       "0                           ...                                699        596   \n",
       "1                           ...                                 98         63   \n",
       "2                           ...                               1079       1016   \n",
       "3                           ...                                                 \n",
       "4                           ...                               4645       4600   \n",
       "5                           ...                                                 \n",
       "6                           ...                                439        400   \n",
       "7                           ...                               1849       1800   \n",
       "8                           ...                                299        260   \n",
       "9                           ...                                298        281   \n",
       "10                          ...                               2269       2250   \n",
       "11                          ...                               1403       1294   \n",
       "12                          ...                                                 \n",
       "13                          ...                                                 \n",
       "14                          ...                                499        480   \n",
       "15                          ...                               2149       2050   \n",
       "16                          ...                               1869       1830   \n",
       "17                          ...                                210        201   \n",
       "18                          ...                                                 \n",
       "19                          ...                                                 \n",
       "20                          ...                                230        217   \n",
       "21                          ...                                           870   \n",
       "22                          ...                                889              \n",
       "23                          ...                                                 \n",
       "24                          ...                               1675       1618   \n",
       "25                          ...                                                 \n",
       "26                          ...                                805        776   \n",
       "27                          ...                               1979       1960   \n",
       "28                          ...                                432        421   \n",
       "29                          ...                                248              \n",
       "...                         ...                                ...        ...   \n",
       "1970                        ...                                                 \n",
       "1971                        ...                                                 \n",
       "1972                        ...                                                 \n",
       "1973                        ...                                                 \n",
       "1974                        ...                                                 \n",
       "1975                        ...                                699              \n",
       "1976                        ...                                                 \n",
       "1977                        ...                                                 \n",
       "1978                        ...                                                 \n",
       "1979                        ...                                                 \n",
       "1980                        ...                                                 \n",
       "1981                        ...                                                 \n",
       "1982                        ...                                                 \n",
       "1983                        ...                                                 \n",
       "1984                        ...                                                 \n",
       "1985                        ...                               1099              \n",
       "1986                        ...                                                 \n",
       "1987                        ...                                                 \n",
       "1988                        ...                                                 \n",
       "1989                        ...                                                 \n",
       "1990                        ...                                                 \n",
       "1991                        ...                                                 \n",
       "1992                        ...                                                 \n",
       "1993                        ...                               3939       3900   \n",
       "1994                        ...                               3071       3000   \n",
       "1995                        ...                                699        600   \n",
       "1996                        ...                                                 \n",
       "1997                        ...                                749        700   \n",
       "1998                        ...                                                 \n",
       "1999                        ...                                                 \n",
       "\n",
       "     RHi_Hyphen FromLeft ToLeft FromRight ToRight          Join_ID  \\\n",
       "0           716      599    699       596     716    2251001000000   \n",
       "1            99       58     98        63      99    2798401000000   \n",
       "2          1084     1017   1079      1016    1084    2728001000000   \n",
       "3                      0      0         0       0  21279501000000N   \n",
       "4          4664     4601   4645      4600    4664    2187601000000   \n",
       "5                      0      0         0       0    2814401000000   \n",
       "6           416      401    439       400     416    2147601000000   \n",
       "7          1838     1801   1849      1800    1838    2718001000000   \n",
       "8           298      261    299       260     298    2255001000000   \n",
       "9           299      278    298       281     299    2805201000000   \n",
       "10         2268     2251   2269      2250    2268    2182001000000   \n",
       "11         1406     1291   1403      1294    1406    2334801000000   \n",
       "12                     0      0         0       0  21216501000000N   \n",
       "13                     0      0         0       0    2400401000000   \n",
       "14          498      481    499       480     498    2253501000000   \n",
       "15         2148     2051   2149      2050    2148    2410001000000   \n",
       "16         1868     1835   1869      1830    1868    2352001000000   \n",
       "17          229      200    210       201     229    2802401000000   \n",
       "18                     0      0         0       0  24922512000000X   \n",
       "19                     0      0         0       0  24922508000000X   \n",
       "20          231      200    230       217     231    2494801000000   \n",
       "21          884        0      0       870     884    2241501000000   \n",
       "22                   871    889         0       0    2241501000000   \n",
       "23                     0      0         0       0  20000101000000N   \n",
       "24         1674     1619   1675      1618    1674    2080401020000   \n",
       "25                     0      0         0       0    2312801020000   \n",
       "26          798      777    805       776     798    2242001000000   \n",
       "27         1980     1967   1979      1960    1980    2168801000000   \n",
       "28          439      420    432       421     439    2813601000000   \n",
       "29                   230    248         0       0    2804001000000   \n",
       "...         ...      ...    ...       ...     ...              ...   \n",
       "1970                   0      0         0       0    2456401040000   \n",
       "1971                   0      0         0       0    2160801020000   \n",
       "1972                   0      0         0       0    2057501020000   \n",
       "1973                   0      0         0       0    2397201070000   \n",
       "1974                   0      0         0       0    2456401030000   \n",
       "1975                 601    699         0       0    2360901020000   \n",
       "1976                   0      0         0       0    2115201020406   \n",
       "1977                   0      0         0       0    2376401050000   \n",
       "1978                   0      0         0       0    2111601020000   \n",
       "1979                   0      0         0       0    2172001050000   \n",
       "1980                   0      0         0       0    2456401030000   \n",
       "1981                   0      0         0       0    2172001050000   \n",
       "1982                   0      0         0       0    2111601030000   \n",
       "1983                   0      0         0       0    2057501030000   \n",
       "1984                   0      0         0       0    2172001050000   \n",
       "1985                1081   1099         0       0    2310801020000   \n",
       "1986                   0      0         0       0    2456401040000   \n",
       "1987                   0      0         0       0    2111601020000   \n",
       "1988                   0      0         0       0    2172001060000   \n",
       "1989                   0      0         0       0    2497601050000   \n",
       "1990                   0      0         0       0    2112201020000   \n",
       "1991                   0      0         0       0    2160801030000   \n",
       "1992                   0      0         0       0    2456401030000   \n",
       "1993       3942     3901   3939      3900    3942    2584401000000   \n",
       "1994       3048     3001   3071      3000    3048    2099201000000   \n",
       "1995        698      601    699       600     698    2097201000000   \n",
       "1996                   0      0         0       0    2360901000000   \n",
       "1997        748      701    749       700     748    2158001000000   \n",
       "1998                   0      0         0       0    2730201000000   \n",
       "1999                   0      0         0       0    2730201000000   \n",
       "\n",
       "     Shape__Length                                           geometry  \n",
       "0         0.001297  LINESTRING (-73.9034682815071 40.8303620794707...  \n",
       "1         0.000954  LINESTRING (-73.901202101452 40.8666213684178,...  \n",
       "2         0.001752  LINESTRING (-73.9011781129234 40.8243971910923...  \n",
       "3         0.001752  LINESTRING (-73.9011781129234 40.8243971910923...  \n",
       "4         0.001840  LINESTRING (-73.9069580625364 40.893616230432,...  \n",
       "5         0.000059  LINESTRING (-73.9070665288923 40.8992824378204...  \n",
       "6         0.000881  LINESTRING (-73.9053850046466 40.8397772683225...  \n",
       "7         0.000802  LINESTRING (-73.9055885394703 40.8466972761627...  \n",
       "8         0.000901  LINESTRING (-73.9055885394703 40.8466972761627...  \n",
       "9         0.000871  LINESTRING (-73.90495672779829 40.882886505190...  \n",
       "10        0.000757  LINESTRING (-73.9052653178272 40.8580554661155...  \n",
       "11        0.002878  LINESTRING (-73.90343643753749 40.832224664060...  \n",
       "12        0.002878  LINESTRING (-73.90343643753749 40.832224664060...  \n",
       "13        0.000056  LINESTRING (-73.9032254201114 40.8958188728286...  \n",
       "14        0.001012  LINESTRING (-73.9011194192623 40.8416070237177...  \n",
       "15        0.002644  LINESTRING (-73.90733432264059 40.853824701928...  \n",
       "16        0.001045  LINESTRING (-73.90753267801939 40.847824448930...  \n",
       "17        0.000571  LINESTRING (-73.9068886266418 40.8769839359736...  \n",
       "18        0.000571  LINESTRING (-73.9068886266418 40.8769839359736...  \n",
       "19        0.000571  LINESTRING (-73.9068886266418 40.8769839359736...  \n",
       "20        0.000407  LINESTRING (-73.90493630394479 40.879686331464...  \n",
       "21        0.000813  LINESTRING (-73.90341862543769 40.811515162153...  \n",
       "22        0.000914  LINESTRING (-73.90341862543769 40.811515162153...  \n",
       "23        0.000914  LINESTRING (-73.90341862543769 40.811515162153...  \n",
       "24        0.001551  LINESTRING (-73.900915923602 40.8399427366285,...  \n",
       "25        0.000650  LINESTRING (-73.9062543538892 40.8764205523284...  \n",
       "26        0.000940  LINESTRING (-73.9069676360907 40.813660185217,...  \n",
       "27        0.000596  LINESTRING (-73.90698614927879 40.850390773418...  \n",
       "28        0.000677  LINESTRING (-73.90478275139991 40.897494592566...  \n",
       "29        0.000847  LINESTRING (-73.9047110415589 40.8805624870493...  \n",
       "...            ...                                                ...  \n",
       "1970      0.001560  LINESTRING (-73.90339582391999 40.879002487483...  \n",
       "1971      0.000088  LINESTRING (-73.8256515676437 40.8838791602976...  \n",
       "1972      0.000672  LINESTRING (-73.92658772057121 40.845095572477...  \n",
       "1973      0.000660  LINESTRING (-73.83830665254639 40.840651006114...  \n",
       "1974      0.001328  LINESTRING (-73.93210619568249 40.831005844137...  \n",
       "1975      0.002373  LINESTRING (-73.8812708454396 40.8129167922266...  \n",
       "1976      0.001106  LINESTRING (-73.87699337325959 40.823744257596...  \n",
       "1977      0.000452  LINESTRING (-73.9039632980984 40.9010438389927...  \n",
       "1978      0.000892  LINESTRING (-73.872271701873 40.8416948414667,...  \n",
       "1979      0.001909  LINESTRING (-73.87933256246779 40.837078702946...  \n",
       "1980      0.000618  LINESTRING (-73.89652211472399 40.885945283238...  \n",
       "1981      0.000666  LINESTRING (-73.87369083143891 40.836397930685...  \n",
       "1982      0.004013  LINESTRING (-73.8721068108448 40.8715174595021...  \n",
       "1983      0.000139  LINESTRING (-73.92527797754769 40.844741324260...  \n",
       "1984      0.000482  LINESTRING (-73.89527107238 40.8437755632791, ...  \n",
       "1985      0.000607  LINESTRING (-73.8579630986312 40.8564896913816...  \n",
       "1986      0.000279  LINESTRING (-73.92674738452121 40.845131441641...  \n",
       "1987      0.001000  LINESTRING (-73.8713916256597 40.8520165152246...  \n",
       "1988      0.001068  LINESTRING (-73.9183935528893 40.8450129035541...  \n",
       "1989      0.000927  LINESTRING (-73.8266432701913 40.8834587150464...  \n",
       "1990      0.007421  LINESTRING (-73.83570025281421 40.811204255377...  \n",
       "1991      0.000282  LINESTRING (-73.82558442182339 40.883622284525...  \n",
       "1992      0.001622  LINESTRING (-73.92088259299921 40.852236829774...  \n",
       "1993      0.001226  LINESTRING (-73.83445364366101 40.889371353239...  \n",
       "1994      0.001231  LINESTRING (-73.857451545524 40.8695408121794,...  \n",
       "1995      0.002165  LINESTRING (-73.85827397933031 40.817637388676...  \n",
       "1996      0.000066  LINESTRING (-73.8792890201246 40.8055899956712...  \n",
       "1997      0.001787  LINESTRING (-73.8652382944077 40.8188828783617...  \n",
       "1998      0.000696  LINESTRING (-73.8710640862064 40.8465222065443...  \n",
       "1999      0.000560  LINESTRING (-73.8703568005696 40.8466321024667...  \n",
       "\n",
       "[2000 rows x 118 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.999990463257\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1183545c0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf['geometry'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gdf = gpd.read_file('data/NYC Street Centerline (CSCL).geojson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "manhattan = gdf[gdf['borocode']=='1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['rw_type', 'l_low_hn', 'pre_direct', 'st_width', 'r_zip', 'r_low_hn',\n",
       "       'bike_lane', 'post_type', 'r_blkfc_id', 'bike_trafd', 'frm_lvl_co',\n",
       "       'post_modif', 'pre_type', 'full_stree', 'l_blkfc_id', 'shape_leng',\n",
       "       'to_lvl_co', 'modified', 'status', 'post_direc', 'r_high_hn', 'l_zip',\n",
       "       'snow_pri', 'borocode', 'trafdir', 'pre_modifi', 'st_label',\n",
       "       'physicalid', 'st_name', 'created', 'l_high_hn', 'geometry'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mh = manhattan[['physicalid','st_name','trafdir','geometry']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x126dcee48>]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mh['geometry'].iloc[0:1].plot()\n",
    "plt.plot([-73.92252465, -73.9217305], [40.85786022,  40.8595185])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st = mh['geometry'].iloc[0:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 40.85786022,  40.8595185 ]])"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st.bounds[['miny','maxy']].as_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16    (LINESTRING (-73.92252465335248 40.85951850445...\n",
       "Name: geometry, dtype: object"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b = st.boundary.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c = b[0].coords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array('d', [-73.92252465335248]), array('d', [40.85951850445461]))"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.xy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b[0].coords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x126d1ba90>]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"773.3333538196711\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x123f5f6a0>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "manhattan[manhattan['trafdir'] != 'NV']['geometry'].plot(ax=ax)\n",
    "manhattan[manhattan['trafdir'] != 'NV']['geometry'].iloc[:1000].plot(ax=ax, color='r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11232"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(manhattan[manhattan['trafdir'] != 'NV'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "geo = pd.read_csv('data/Centerline.csv')\n",
    "df_iter = pd.read_csv('data/yellow_tripdata_2009-01.csv', chunksize=10000)\n",
    "df = next(df_iter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "geo['the_geom'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%run network.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "coords = [(0,0), (0,1), (1,0), (1,1)]\n",
    "streets = [(0,1), (0,2), (1,3), (0,3)]\n",
    "network = Network(coords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "for n1, n2 in streets:\n",
    "    network.add_streets_from_nodes(n1, n2, False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Street 0: twoway = False; from 0 to 1>\n"
     ]
    }
   ],
   "source": [
    "print(network.streets[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "network.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "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": "3.6.3"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "navigate_num": "#000000",
    "navigate_text": "#333333",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700",
    "sidebar_border": "#EEEEEE",
    "wrapper_background": "#FFFFFF"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "11px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": false,
   "widenNotebook": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}