Using WiFi Metadata To See Where You’ve Been.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv('WifiProbe.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2106560"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#remove duplicate SSIDs\n",
    "df_nodupes = df.drop_duplicates(['SSID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1030"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_nodupes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>﻿id</th>\n",
       "      <th>device</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>BSSID</th>\n",
       "      <th>SSID</th>\n",
       "      <th>autoJoinStatus</th>\n",
       "      <th>blackListTimestamp</th>\n",
       "      <th>capabilities</th>\n",
       "      <th>distanceCm</th>\n",
       "      <th>distanceSdCm</th>\n",
       "      <th>...</th>\n",
       "      <th>level</th>\n",
       "      <th>numConnection</th>\n",
       "      <th>numIpConfigFailures</th>\n",
       "      <th>numUsage</th>\n",
       "      <th>seen</th>\n",
       "      <th>timestamp.1</th>\n",
       "      <th>tsf</th>\n",
       "      <th>untrusted</th>\n",
       "      <th>wifiSsid_octets_buf</th>\n",
       "      <th>wifiSsid_octets_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>738fb79c-7fb2-4923-a650-a8340d331272-2</td>\n",
       "      <td>17c3398d-1ec4-4a91-9e71-535b7854ebcb</td>\n",
       "      <td>1.452329e+09</td>\n",
       "      <td>4c:72:b9:1a:98:0d</td>\n",
       "      <td>sknepal</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>[WPA-PSK-TKIP][ESS]</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>-70</td>\n",
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       "      <td>1.452329e+09</td>\n",
       "      <td>b0:48:7a:a2:a1:e0</td>\n",
       "      <td>TP-LINK_A2A1E0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>[WPA-PSK-CCMP+TKIP][WPA2-PSK-CCMP+TKIP][ESS]</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>[WPA2-PSK-CCMP+TKIP][ESS]</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>-89</td>\n",
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       "      <td>84</td>\n",
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       "      <td>1.447040e+09</td>\n",
       "      <td>24:9e:ab:e8:e0:68</td>\n",
       "      <td>shiva123</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>[WPA-PSK-CCMP+TKIP][WPA2-PSK-CCMP+TKIP][ESS]</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>-89</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>True</td>\n",
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       "      <td>1.455966e+09</td>\n",
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       "      <td>sumitran</td>\n",
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       "      <td>[WPA2-PSK-CCMP+TKIP][ESS]</td>\n",
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       "      <td>False</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
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      "text/plain": [
       "                                          ﻿id  \\\n",
       "0      738fb79c-7fb2-4923-a650-a8340d331272-2   \n",
       "32     738fb79c-7fb2-4923-a650-a8340d331272-3   \n",
       "320   738fb79c-7fb2-4923-a650-a8340d331272-12   \n",
       "1152  57f59167-774c-4cd7-b557-37a34110b109-14   \n",
       "1408  0dc8c3b7-9046-449b-b573-ccfa5790ea92-46   \n",
       "\n",
       "                                    device     timestamp              BSSID  \\\n",
       "0     17c3398d-1ec4-4a91-9e71-535b7854ebcb  1.452329e+09  4c:72:b9:1a:98:0d   \n",
       "32    17c3398d-1ec4-4a91-9e71-535b7854ebcb  1.452329e+09  b0:48:7a:a2:a1:e0   \n",
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       "\n",
       "                SSID  autoJoinStatus  blackListTimestamp  \\\n",
       "0            sknepal               0                   0   \n",
       "32    TP-LINK_A2A1E0               0                   0   \n",
       "320     Tenda_3276B8               0                   0   \n",
       "1152        shiva123               0                   0   \n",
       "1408        sumitran               0                   0   \n",
       "\n",
       "                                      capabilities  distanceCm  distanceSdCm  \\\n",
       "0                              [WPA-PSK-TKIP][ESS]          -1            -1   \n",
       "32    [WPA-PSK-CCMP+TKIP][WPA2-PSK-CCMP+TKIP][ESS]          -1            -1   \n",
       "320                      [WPA2-PSK-CCMP+TKIP][ESS]          -1            -1   \n",
       "1152  [WPA-PSK-CCMP+TKIP][WPA2-PSK-CCMP+TKIP][ESS]          -1            -1   \n",
       "1408                     [WPA2-PSK-CCMP+TKIP][ESS]          -1            -1   \n",
       "\n",
       "              ...           level  numConnection  numIpConfigFailures  \\\n",
       "0             ...             -70              0                    0   \n",
       "32            ...             -86              0                    0   \n",
       "320           ...             -89              0                    0   \n",
       "1152          ...             -89              0                    0   \n",
       "1408          ...             -40              0                    0   \n",
       "\n",
       "      numUsage           seen   timestamp.1           tsf  untrusted  \\\n",
       "0            0  1452329337545  1.452329e+09  103113166415      False   \n",
       "32           0  1452329337545  1.452329e+09  103113166415       True   \n",
       "320          0  1452330536459  1.452331e+09  104312058540       True   \n",
       "1152         0  1447040274255  1.447040e+09  511070703568       True   \n",
       "1408         0  1455966345876  1.455966e+09     122476762      False   \n",
       "\n",
       "      wifiSsid_octets_buf wifiSsid_octets_count  \n",
       "0                     115                     7  \n",
       "32                     84                    14  \n",
       "320                    84                    12  \n",
       "1152                  115                     8  \n",
       "1408                  115                     8  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nodupes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "wep = df_nodupes[df_nodupes['capabilities'].str.contains(\"WEP\", na=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#wep networks\n",
    "len(wep)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "﻿id                      0\n",
       "device                   0\n",
       "timestamp                0\n",
       "BSSID                    0\n",
       "SSID                     1\n",
       "autoJoinStatus           0\n",
       "blackListTimestamp       0\n",
       "capabilities             0\n",
       "distanceCm               0\n",
       "distanceSdCm             0\n",
       "frequency                0\n",
       "isAutoJoinCandidate      0\n",
       "level                    0\n",
       "numConnection            0\n",
       "numIpConfigFailures      0\n",
       "numUsage                 0\n",
       "seen                     0\n",
       "timestamp.1              0\n",
       "tsf                      0\n",
       "untrusted                0\n",
       "wifiSsid_octets_buf      0\n",
       "wifiSsid_octets_count    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check whether there is some null value\n",
    "df_nodupes.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/conf/anaconda/lib/python2.7/site-packages/pandas/core/frame.py:2650: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  **kwargs)\n"
     ]
    }
   ],
   "source": [
    "# we see that there is an SSID with a null value\n",
    "# let's replace it with 'none'\n",
    "df_nodupes.fillna('none', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "﻿id                      0\n",
       "device                   0\n",
       "timestamp                0\n",
       "BSSID                    0\n",
       "SSID                     0\n",
       "autoJoinStatus           0\n",
       "blackListTimestamp       0\n",
       "capabilities             0\n",
       "distanceCm               0\n",
       "distanceSdCm             0\n",
       "frequency                0\n",
       "isAutoJoinCandidate      0\n",
       "level                    0\n",
       "numConnection            0\n",
       "numIpConfigFailures      0\n",
       "numUsage                 0\n",
       "seen                     0\n",
       "timestamp.1              0\n",
       "tsf                      0\n",
       "untrusted                0\n",
       "wifiSsid_octets_buf      0\n",
       "wifiSsid_octets_count    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# run the command once again to make sure that there are no null values\n",
    "df_nodupes.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# lets group the nearby wifi networks together\n",
    "# i.e. any networks that were discovered within a range of 30 minutes will belong to the same group\n",
    "i = 0\n",
    "j = 1\n",
    "nearby_wifi = {}\n",
    "while True:\n",
    "    try:\n",
    "        if (abs(int(str(df_nodupes.iloc[i]['seen'])[:-3]) - int(str(df_nodupes.iloc[j]['seen'])[:-3]))/60 <= 30): \n",
    "            if df_nodupes.iloc[i]['SSID'] not in nearby_wifi:\n",
    "                nearby_wifi[df_nodupes.iloc[i]['SSID']] = list()\n",
    "            nearby_wifi[df_nodupes.iloc[i]['SSID']].append(df_nodupes.iloc[j]['SSID'])\n",
    "            j=j+1\n",
    "        else:\n",
    "            i=j\n",
    "            j=j+1\n",
    "    except:\n",
    "        break\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# so we've grouped the 1000 something individual networks to 128 groups\n",
    "len(nearby_wifi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['FRONTECH',\n",
       " 'ntc',\n",
       " 'SAA',\n",
       " 'DWIT-hotspot',\n",
       " 'TP-LINK_789639',\n",
       " '11n AP',\n",
       " 'NETMAXWIFI',\n",
       " 'sAG']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# here's an example of a grouped network\n",
    "nearby_wifi['deerwalk-hotspot']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: /tmp/tmpKlLRLt: syntax error in line 14 near '.'\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# let us create a graph for all the network groups\n",
    "# just for visualization purpose. it is not necessary at all. \n",
    "\n",
    "i = 0\n",
    "j=1\n",
    "import pydot\n",
    "graph = pydot.Dot(graph_type='graph')\n",
    "\n",
    "while True:\n",
    "    try:\n",
    "        if (abs(int(str(df_nodupes.iloc[i]['seen'])[:-3]) - int(str(df_nodupes.iloc[j]['seen'])[:-3]))/60 <= 30): \n",
    "            parent = df_nodupes.iloc[i]['SSID']\n",
    "            child = df_nodupes.iloc[j]['SSID']\n",
    "            edge = pydot.Edge(parent, child)\n",
    "            graph.add_edge(edge)\n",
    "            j=j+1\n",
    "        else:\n",
    "            i=j\n",
    "            j=j+1\n",
    "            graph.write_png('wifi' + str(i) + '.png')\n",
    "            graph = pydot.Dot(graph_type='graph')\n",
    "    except:   \n",
    "        break\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KFQD+LzBjGOaRzxUWFoY//OEP+MMf/oD4+PhH3v5xKDqhzp07p/T1mpoaAMCSJUvYr93f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ZeR9NRTT5FQKKSXXnrJbBYhZm7OUNZxMVfZ2dlcQunSNfBM5ezZsxQTE0Pu7u70ySefmPz6DMOX\n8vJymj59OkmlUtq3b5/Jr5+Xl0cCgYC2bdtm8muPdQaDge644w4KDQ012RIyRllZWSSRSGjhwoVX\nLO3CMObIYDDQa6+9RhKJhP74xz+atFKK9V8HG0L/9frJLCKibdu2kUQioaVLl5r8BshYNoVCQXK5\nnORyOSkUCpNe+8cffyQAV+xuOVY98MADJJfLTdr5/eKLL0yyHo4lMv5/mmqKx+V27NhBtra2lJKS\nYpJqSWZ4aDQaWrNmDVet8uCDD95wfS9zodfrKTMzkwQCAS1dutSkFVmX6+vro02bNpG1tTXddttt\n3NqSDDMadXd306pVq0gsFtOiRYuuuSC2Kaxfv56sra3p5MmTvMUwFq1bt47s7OxMsqPk1ZSVlVFU\nVBS5ubnxuvYRw9yIQqGgadOmkb29Pe3YscPk12f918GG0H+9cTKLiGjPnj1kY2NDs2fPpurq6uGL\nkBm19u3bRz4+PhQVFTVowVRTmj9/PkVERPDaaTIHubm5JBQKealCSElJobi4uEGLTo91Op2OJk2a\nRKmpqbzGkZOTQz4+PuTr63vDHWkY5lZUVFRQamoqicViev31181muklBQQFFRUWRVCqltWvXklqt\n5jskhhk2er2edu7cSWFhYeTo6Ejvvvsu7589vV5Pt99+OwUFBfHWNhxrPvvsMxKJRLwvG9PR0UHp\n6ekkEAgoIyODzp07x2s8DHMpnU5Hr7/+OslkMgoPD+d1nUPWf71oiP3XoSWziC42+iIjI8nOzo7e\neOMNbmtvhrlUXV0d/e53v+OqBi7dXcvUampqSCaT0apVq3iLgW/GhffnzZvHSyNWoVCQk5MTPfLI\nIya/trl6+OGHSSaTXXMrZFNSqVRc4zI1NXXQ7rAMc6s6Ojro6aefJolEQjExMZSTk8N3SFfo7e2l\nt956i7y8vEgqldJzzz3HklqMRevv76cdO3Zwu1auWLHCrBJHLS0tFBMTQ4GBgXT27Fm+wxnVPvro\nIxKJRLRmzRq+Q+Hs2bOH5HI52djY0Jo1a3iZbs4wRgaDgXbs2EHjx48ne3t7+r//+z/q7u7mNSbW\nf72p/uvQk1lEFxt9L7zwAkkkEpo4cSJboIzhdHV10csvv0yOjo7k7+9P3377Ld8hEdHFESmBQEB7\n9+7lOxSTMxgMlJaWRt7e3ryuU7B37162mcT/bN68mQQCAR04cIDvUAb56aefKCYmhiQSCS1fvpwt\ntszckvb2dtq0aRN5enqSs7Mzvf3222a/O49Wq+WSWg4ODvSnP/1pxLfhZpjh1NDQQK+++ioFBQWR\nlZUVrVy50myTRWq1miZPnkx+fn4mXU91LHnzzTdJKBTS888/z3coV+jr66PNmzeTu7s7ubi4UGZm\nJtXW1vIdFjOGdHd30/vvv0+RkZEkFotp5cqVvE7Bvhzrvw65/3pzySyj0tJSmjdvHgGgxMREtibO\nGNbb20tvv/02eXp6kr29PWVmZprdtuerV68mGxsbk+4aZw6efPJJsrW1NYs1dV566SUSCoX00Ucf\n8R0Kb7Zv304CgYBee+01vkO5Kr1eT1u2bKGgoCASCoV0zz33UG5uLt9hMRakoaGB/vrXv5KjoyM5\nODjQU089ZXEL/mq1WnrnnXcoOjqaAFB0dDRt3ryZWltb+Q6NYa7Q399PBw4coIULF5JYLCZ3d3da\nvXq1RUzhunDhAs2ePZvs7OzYDrvDSKfT0YMPPkgikcjsN/Dq6OigjRs3kre3N4lEIrrvvvvo6NGj\nfIfFjGJnz56lNWvWkIuLC1lbW9NDDz1Ep06d4jusq2L91yH1X39bMssoJyeHZs6cSQBo1qxZtHfv\nXjb9cIxobm6mTZs2kb+/P1lbW9OqVavMdiHpgYEBWrx4MTk5OdGxY8f4DmfEDQwM0PPPP08ikYiX\nHYuuZfXq1SQWi026LbS5eO+990gkElFmZibfodyQXq+nrKwsiomJIQA0ffp02rp1q9klqRnzYDAY\n6PDhw3T//feTtbU1ubm50Ysvvjgqkj8///wzLV++nBwcHMjGxoYWLVpEH330EbW1tfEdGjOG6fV6\nOnLkCD366KPk5eVFAoGAZs2aRbt27bK49Sn1ej09/fTTJBAI6PHHH2ffM7eouLiY4uLiyNnZmQ4d\nOsR3OEPW29tLH3/8MU2dOpUAUEREBL366qsWkZRlzJ9Go6GdO3fS3LlzSSQSkbe3N7344ovU1NTE\nd2jXxfqvQ3JrySyj7OxsWrBgAQmFQho3bhy9+OKLZlWqxwyf3NxcysjIIGtra5LJZPTUU0+Z1VoM\n19Lb20tpaWlkY2Mzqks2+/r66KGHHiIrKyvauXMn3+EMMjAwQM8++ywBoGeeeYYMBgPfIY04vV5P\nf/nLX0ggENDatWt5X3z3ZgwMDNC3335L99xzD0kkEnJwcKBly5axai2GiC5ul/zSSy9RYGAgAaDJ\nkyfTv/71L+rq6uI7tGHX2dlJH3zwAc2dO5esrKzIysqK5s2bRx988AFbX4sxid7eXvrmm29o+fLl\n5ObmxlUNbtiwwSzWX7xVu3fvJk9PT/Lz8+Ntl19LptVq6dlnnyWJREIpKSkW/T+Rm5tLK1asIGdn\nZxIIBJScnExbtmxha2sxN6W/v5++/vprSk9PJ3t7exKLxTRv3jz65JNPTLqz+61i/dcbGp5kllFj\nYyNt2rSJfH19CQDFxcXRP//5T6qvrx/OyzAmNDAwQMeOHaNVq1Zx7+vs2bNp9+7dFnUzILpYQbB6\n9WoSiUT0wgsvjLoqwrq6OkpJSSEnJyc6cuQI3+Fc04cffkjW1tY0Z86cUZ30rq+vp9TUVLKxsaGP\nP/6Y73BuSXt7O23ZsoUSExMJALm5udGSJUto9+7dozJ5wVzJ+F2QmZlJERERBID8/f1p/fr1dObM\nGb7DMxmtVksHDx6kJUuWkJOTEwGgoKAgWrlyJe3evXtUVKQx/Ovp6aHDhw9TZmYmxcXFkVgsJolE\nQgsWLKAtW7aQUqnkO8Rh19raSkuXLiWBQEB33nknnThxgu+QzJ5er6f//Oc/5O/vTzKZjLZu3WpR\ng2bXYzAY6NixY7Ry5UpydHQkoVBIcXFxlJmZSYcPH6a+vj6+Q2TMzOnTp2nTpk00e/ZssrW1JbFY\nTAsWLKAdO3bwuiHZrWL91+sa3mSWkVarpZ07d9L8+fNJIpGQRCKhu+66i7Zv325x62eMVaWlpbRx\n40aKiooiAOTu7k6PPfaYWe5GdbM+/PBDcnBwoKSkJLNdHPVm7d+/n9zc3CgmJsYiFu8uKCigsLAw\ncnd3N7vF0IeD8f0IDw+nwsJCvsMZVgUFBZSZmUmhoaEEgJydnSkjI4N27drF7u+jjE6no++//57W\nrFkz6P1esmQJ7du3z+KmNA237u5u2r9/Pz3xxBM0YcIEAkBWVlaUnJxM69evpyNHjlBHRwffYTIW\noL+/n3755Rd655136N577yUXFxdu4CAtLY3ef//9UZnAuppjx45RYmIiCQQCuu+++6ikpITvkMyO\nXq+nXbt20YQJE0gikdBjjz1GKpWK77BGTGdnJ3366aeUkZHBVSb6+PjQsmXLaNeuXaN6YJS5tq6u\nLsrOzqbnnnuOYmNjSSAQkJWVFc2ZM4f+8Y9/UE1NDd8hDivWf72qkUlmXUqtVtN7771HKSkpJBQK\nSSgUUkJCAr3yyitUXFw80pdnhkin09G3335Ljz32GPn7+xMAkkqltGTJEvrmm29GXRb4zJkzFBcX\nR3Z2drRhwwbSarV8h/SbKBQKWrBgAbfehE6n4zukIevu7qYnnniChEIh3XnnnVRaWsp3SLesuLiY\n5syZQ0KhkFatWmWx/1dDVV5eThs3bqTJkycTABIIBBQdHU1PPvkkHTx40KJHwsai/v5+ys3NpZdf\nfplmzZpFtra2XKfh0UcfZaPhN6BUKmn79u2Unp5OXl5eBICEQiFFRkbSsmXL6P3336eSkhKz39mR\nGXlKpZL27NlDzzzzDCUnJ5OdnR0BIFtbW5ozZw69/vrrVFhYOCam41/Ll19+ya3dmJqaSgcPHhzT\nrwcRUVtbG/3tb38jf39/EgqFlJ6eTtXV1XyHZVJ6vZ7y8vJo7dq1XAIDAMnlcnrooYdo27ZtY6pa\neCxRq9V04MABWr16NU2fPp0kEgkBIG9vb1q+fDl98cUXpNFo+A5zRLH+6xV2C4iIYCItLS347rvv\n8N///hffffcdmpubMX78eMycORMzZsxAYmIiIiIiIBQKTRXSmNXd3Y0TJ04gJycHeXl5+PHHH9Hd\n3Y3o6GjceeedmDt3LpKSkmBlZcV3qCNGr9dj8+bNWL9+PVxdXbFhwwZkZGRALBbzHdoNNTU1YdOm\nTXj33XcREhKCf//730hOTuY7rN/kxIkT+POf/4yTJ08iPT0da9euRWhoKN9h3ZTKykq88soryMrK\nQnx8PDZv3owpU6bwHZZJqVQq/PDDDzh69CiOHj0KhUIBkUiE2NhYTJ8+HfHx8YiPj0dISAjfoTL/\no1arkZ+fzx15eXnQaDRwcXFBSkoKbr/9dqSmpiIiIgICgYDvcC1OdXU199oWFBSgqKgIvb29cHBw\nQGxsLKKjoxETE4OYmBhERUXBzs6O75CZYWYwGKBQKFBaWoqSkhKUlpaiqKgI9fX1EAgECAkJQXx8\nPKZNm4b4+HhMmjQJEomE77DNBhHh0KFDeOutt3DkyBEEBwcjIyMDixcvtrh2wm9lMBjw/fff49NP\nP8Xnn38OAFi6dCmefPJJBAcH8xwd/9RqNY4fP45jx47h+PHjKCwsRH9/P7y8vDB16lTExcVxh7e3\nN9/hMkPU3d2N4uJinDx5EoWFhSgsLMTp06dBRJDL5UhKSkJycjISExMRFhbGd7gmxfqvg3xu0mTW\npQYGBlBUVIRDhw7hp59+Qm5uLjQaDZycnJCQkICEhARMmTIFsbGx7OZziwwGA86cOYOioiIUFBTg\n+PHjKCkpgV6vR0BAAJKTkzFz5kzMnTsXPj4+fIdrcnV1dVi7di2ysrIQFBSEdevWIS0tDdbW1nyH\ndoX6+nq8/fbbeOedd2Bvb4/nnnsOjz/+uMU3fokIH3/8MV5++WVUV1cjLS0NTz/9tNknhAoKCvDm\nm29iz549CA0Nxbp16/DAAw+wjj8ufq6+//575OTkID8/HxUVFTAYDHB1deUSW5MmTUJUVBQCAwPZ\nazbCWltbUVpairKyMpw4cQL5+flQKBQAAD8/P8THx2PGjBmYOXMmYmJi2KDSCOjr60NxcTHy8/NR\nVFSE0tJSVFRUoKenB0KhEHK5HDExMYiOjsaECRMQEhKCkJAQluSyAHq9HrW1tVAoFPj1119RVlaG\nkpISlJeXQ6fTQSgUIigoiEteTp06FfHx8XB2duY7dItRVlaGd999F3v27EFLSwumTJmCP/zhD1i4\ncOGoS2z19/cjJycH+/fvx+7du6FSqTBp0iRkZGRg+fLlkMlkfIdotrRaLfLz85GTk8MlQerq6gAA\nPj4+mDJlCuLi4hAZGYmIiAjI5XKLb0NbOqVSicrKSlRUVKCoqAiFhYWorKyEwWCAo6MjYmNjMXny\nZMyYMQNJSUnw8vLiO2SzwPqvAPhMZl3OYDCgpKQEOTk5XHa9sbERAODp6YnY2FjuiIqKQnBw8Kiu\nGvqt2tvbcebMGZSUlKCoqAhFRUUoKyuDVquFSCRCREQEkpOTuYy2r68v3yGbjaqqKq66xsnJCcuW\nLcPDDz8MuVzOa1zGUbn33nsPBw8ehLu7O5555hk88sgjo66TMzAwgL179+KNN97AyZMnERMTg4cf\nfhiLFy+Gq6sr3+EBuFhhmpWVhW3btqGsrAzTpk1DZmYm7rnnHpYAuI6uri4UFhbi559/Rn5+Pk6c\nOME1MB0cHBAREYHo6GhERkZi4sSJkMvl8PPzY6/pTVKr1aiurkZFRQXKy8tRVlaG8vJyqFQqAIBU\nKkVcXByXUIyPjx+TgxjmQq/XX1G5U1ZWBqVSF3dOyAAACtZJREFUCWPzzNfXl0tsGY+goCD4+fmx\nTq0J9fT0QKlU4vz581AoFFziSqFQ4OzZs+jr6wMAyGQyREVFcZV30dHRiIqKgoODA8/PYHTQ6/XI\nzs7GZ599hgMHDuDChQuQy+WYP38+7rrrLsyYMcMiX2ulUons7Gx8/fXXOHz4MDo6OhAZGYnf//73\nuP/++8dc9clwampqQmFhIX755RcUFhaiqKgItbW1AACJRILg4GBEREQgLCyMewwICIC7uzvPkY8e\n3d3dOHfuHBQKBSorK3H69GmcPn0alZWV0Gg0AC7eOydNmoS4uDhMnjwZcXFxCAkJYe3AGxjj/Vfz\nSWZdjUqlQnFxMYqKirjH6upqDAwMQCQSISAgAKGhoQgLC0NYWBhCQkLg7+8PPz8/s8xKDpf29nYo\nlUpUV1fj119/5Y7Kykq0tLQAAGxtbTFx4kQuAThp0iRMnDhx1CU/RkJzczN27NiBrVu3QqFQIDY2\nFvfeey8WLVqEqKgok1SQaLVa5OTkYO/evdi/fz/UajXuuOMOrFixAnffffeYGEUqLi7G9u3bkZWV\nhba2NiQmJmLhwoWYP38+wsLCTFbJQ0SorKzEV199hYMHDyIvLw8uLi5IT0/H0qVLER0dbZI4RqML\nFy6gvLwcFRUVXJVKeXk52traAABWVlYIDAxEUFAQgoODuSMgIABeXl5jsqGp1WqhVCpRX1+P6upq\nVFdXo6amhjvv6OgAAFhbWyM8PJxLDkZFRSEyMhIBAQH8PgFmSHQ6HZcwUSgUqKqq4pInxsQkcDER\nPH78eIwfPx6+vr7w8/ODv78/fH19uc+Iu7s7q3y8ga6uLjQ2NqKlpQVKpZI7zp8/D6VSibq6OjQ1\nNXG/L5VKucSiXC5HSEgIQkNDERISAjc3Nx6fydii1+uRk5ODL7/8EgcPHkRVVRXEYjGio6ORmJiI\nGTNmYMqUKQgKCjKrDrFOp0NFRQV+/vln5ObmIicnB0qlEmKxGElJSbj77ruxcOFC3jujo5lGo8GZ\nM2cGJVVOnTqFmpoa9Pf3AwDs7e0REBCAwMBA+Pv7IyAgAAEBAfDz88O4cePg4eHBCiv+p6mpCc3N\nzVAqlTh37twVh7F/ClwcoJkwYQImTJjAJQ/Dw8PZTKxbNEb7r+adzLoa483HmMA5c+YM18AzZnYB\nwMvLC76+vvD19eUaeh4eHnBzc4OHhwd3bmtry+OzGaytrQ3Nzc1Qq9VQq9VoaWlBfX096urqBjWs\nurq6uL/x8fFBaGjooCMsLAzBwcEQiUQ8PhvLR0TIz8/H559/jj179uD8+fOQyWRISEjA9OnTuSrB\nwMDAW7pOX18f14k/efIk8vLyUFxcDL1ej4SEBKSlpeG+++4bs1V0fX19OHr0KPbt24cDBw5ApVLB\n2dkZ06ZNw7Rp07hRb7lcfsvzxfv7+1FVVYWKigqUlJSgoKAABQUFaG9vh7e3NxYtWoR7770XM2fO\nHBMJRb40NjaiqqpqUKLG+Hhpg8ja2ho+Pj7w8fHBuHHj4OPjA19fX7i5ucHFxQWurq6DDnPt0Gs0\nGrS2tkKtVqO1tZU7GhsbUV9fj4aGBjQ0NKCurg6dnZ3c39nZ2SE4OHhQss94HhgYaBHrJzA3T6PR\noLa2dlCi5dJzpVKJnp4e7vdFIhGX1PL09ISnpyfc3d3h4eEBV1dXODs7QyaTXXFY6j2ura0N7e3t\nVz2am5uhUqmgVqu585aWFuh0Ou7vhUIhvLy8uKSgr68vN1BqbFOyaS7mSaFQIDc3lztOnTqFgYEB\n2Nvbc9W/ERER3KBIQEAAnJycRiQWIkJjYyPOnj3LVaSUl5ejtLQUNTU1MBgMsLe3x9SpU5GYmIiE\nhATMmDGDTT3lWX9/P/eenTt3DrW1tYOSMo2Njbi062y8r3p7e8PLywteXl7w8fGBs7MzXFxcrni0\nhGKLgYEBtLW14cKFC1c8Njc3o6GhASqVCiqVCo2NjWhubuYSgADg5OTEfb6MycCAgAD4+/sjKCgI\njo6OPD670W+M9V8tL5l1PY2NjTh//jzXmLv8XK1Wc2XgRvb29nB3d4erqyukUimkUikcHBwglUrh\n7OzMnd9K0qujowMajQZdXV3QaDTo6OhAZ2cn97OWlhao1epBNwLg4oirt7c314C6vGE1fvx4SKXS\n3xwXM3REhNLSUvz000/cNNiGhgYAgKOjI0JDQwclTq/1vhARVCoV6urqUFdXh3PnzqGqqgp6vR5i\nsRjh4eG47bbbkJSUhJSUFDZKcZmBgQGUlJTg+PHjyMvLQ15eHs6ePQvgYhWPXC7H+PHj4ePjAz8/\nP3h6el4zqWswGNDU1ASlUomGhgacP38eVVVV6Ovrg0AgQGBgILd+X2JiIqKjo81qZHes6uzs5N6z\nhoYG1NfXo7GxEUqlkvtstba2DurMA4BAIOASXFKpFE5OTrCzs4OdnR1kMhkcHBxgZ2cHBwcHyGSy\nW058aTQaaLVadHd3o62tjTvXaDTo7OyEVqvlklaXfy+JRCK4urrC09MTfn5+3OCMt7c3l7QbN24c\n61Az19TU1ISWlhY0NTVx5y0tLVz1UUtLC1QqFdra2rhqvssZPxsymQy2trZwdHSElZUVHB0dYWtr\nCxsbGzg5OcHKyoprJ9nY2AzbcxgYGEBHRwd6enqg0+nQ2dmJvr4+dHZ2QqfToaenh/vZpQmr6z0X\nd3d3eHl5wcPDg+uEGs89PDy4zqilJvKYwTo6Orip1mVlZaioqMCpU6cGDYo4OzvDz8+P+x9wc3Pj\njqEMCGi1Wi45amzPNzc3o7a2Fr29vQAAsViM8ePHcxWyxin14eHhbNDBwvT29qKuro5L5jQ0NKC5\nuRn19fWDEj1tbW1XtEOAi/ciY3LLeF+1t7cfdG68t9rb2w9L5RcRob29nbtvtrW1XfXcmLS62n1U\nJBLB2dmZu0/6+PjAw8MDPj4+g5J548aNY9PfzcgY6L+OrmTWUHR2dqKpqWlQ9VNzczPa29sHJZg0\nGg3a29uh0Wig0WgG3ZC0Wi33BXU1Uql00JeTo6PjoCSZTCYblDi79IvTOGLq5uY2rI1CZvi1trZy\nU6QUCgXq6+tRX1+P2tpaaLVa7svByNHRESKRCB4eHhg3bhw3JcQ4FSg8PNwiRmzMjUaj4RaOVCgU\nqKur4xIdKpWK+xI33uoEAgFkMhmEQiE8PT25yh4/Pz+EhIQgMjISEyZMsMg1N5j/79Jk0eVVT93d\n3Whvb4dWq4VWq+UGHIwJp0v/X4CLaz1cnnC63OWj6Q4ODrC3t4e9vT1kMhmXOHNycoJUKoWdnR1c\nXV2vqCBzc3NjDUHG5K5VzdTR0YH29nb09PSgo6MDfX193Gelt7f3qj+7lDERdSNisfiKRrTxXm1t\nbQ07OztIpVJYWVnByckJNjY2sLW15X5mTLpdWmXm5OTEnbOpQMyljOv3GI+Ghgaub2D8vlCr1TAY\nDNDr9YNmfgAXq/eMFV22trZcG/7SZJixKsU4EM2SVmOPTqe7anWT8bGnp4frd+p0Ou7cmKi/WtvD\nuAzD9VwtCebs7MzdNy89Nw5WGM+NFWSXV5WNVAUjY3qjrP869pJZDMMwDMMwDMMwDMMwjMX6nM2Z\nYRiGYRiGYRiGYRiGYSwGS2YxDMMwDMMwDMMwDMMwFoMlsxiGYRiGYRiGYRiGYRiLIQbwOd9BMAzD\nMAzDMAzDMAzDMMwQ/Pz/AD0crevkc5ICAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# an example of a network group, drawn as a graph\n",
    "\n",
    "from IPython.display import Image\n",
    "Image('wifi36.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Make request to Google geolocation API with the WiFi details of each network group\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import time\n",
    "\n",
    "\n",
    "details = {\"details\":[]}\n",
    "key = \"YOUR API HERE\"\n",
    "\n",
    "def geocode(wifi_data, wifi_name):\n",
    "    URL = 'https://www.googleapis.com/geolocation/v1/geolocate?key=' + key\n",
    "    data = json.dumps(wifi_data)\n",
    "    r = requests.post(URL, data, headers={'Content-Type': 'application/json'})\n",
    "    info = json.loads(r.text)\n",
    "    details['details'].append({'wifi': wifi_name, 'lat': info['location']['lat'], 'lng':info['location']['lng'], 'accuracy':info['accuracy']})\n",
    "    \n",
    "    \n",
    "for wifiap_key, wifiap_values in nearby_wifi.items():\n",
    "    data = {\"wifiAccessPoints\": [ ]}\n",
    "    mac_key = df_nodupes.loc[df_nodupes['SSID'] == wifiap_key, 'BSSID'].values[0]\n",
    "    ss_key = df_nodupes.loc[df_nodupes['SSID'] == wifiap_key, 'level'].values[0]\n",
    "    data['wifiAccessPoints'].append({'macAddress': mac_key, 'signalStrength': ss_key})\n",
    "\n",
    "    for wifiap in wifiap_values:\n",
    "        mac_value = df_nodupes.loc[df_nodupes['SSID'] == wifiap, 'BSSID'].values[0]\n",
    "        ss_value = df_nodupes.loc[df_nodupes['SSID'] == wifiap, 'level'].values[0]\n",
    "        data['wifiAccessPoints'].append({'macAddress': mac_value, 'signalStrength': ss_value})\n",
    "    geocode(data, wifiap_key)\n",
    "    time.sleep(2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'accuracy': 40.0, 'lat': 27.7350677, 'lng': 85.3097375, 'wifi': 'Wise_Vianet'}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "details['details'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# visualizing the accuracy received\n",
    "raw_accuracy=[]\n",
    "for i in range(128):\n",
    "    raw_accuracy.append(details['details'][i]['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 103.,    0.,    0.,    0.,    0.,    0.,    0.,    0.,    0.,   25.]),\n",
       " array([   22. ,   371.4,   720.8,  1070.2,  1419.6,  1769. ,  2118.4,\n",
       "         2467.8,  2817.2,  3166.6,  3516. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NJO/uxjZV1UK3vABs6pZfwDDzYZPMf6SZlo/vZ3JZ35fkjiSfXvIRdSpyJjmV4aeUW5ji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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa1b4ff2610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.hist(raw_accuracy)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import copy\n",
    "new_accuracy = copy.deepcopy(raw_accuracy)\n",
    "len(new_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "103"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remove the points that have accuracy over 3k\n",
    "fixed_accuracy = [x for x in new_accuracy if x < 3000]\n",
    "len(fixed_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 52.,  18.,  12.,  10.,   2.,   5.,   2.,   1.,   0.,   1.]),\n",
       " array([  22. ,   50.4,   78.8,  107.2,  135.6,  164. ,  192.4,  220.8,\n",
       "         249.2,  277.6,  306. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dz28Dn2Xw8WYxyS6AJLuBc9OrcCir1bv8NXll17alVNW56gAf4ycfMbdc/UlexCDQ76mq\nI13zzPT/kvr/7kL9s9T/F1TV94DPAa9jhvr/giX1/8q4+n8Sof4w8KokVyW5DPg94L4JPM7YJLk8\nyU910y8F3gI8yqDu/d1q+4EjK29hy1it3vuAtyW5LMnVwKsYXCy2pXR/iBf8LoPXALZY/UkC3A08\nXlUfXbJoJvp/tfpnqP9ffmHXRJKXADcCJ5id/l+x/gtvSJ3R+39CR3ZvZnBE/RvAwUk8xpjrvZrB\n0eWTwNcv1AzMAV8ATgFHgZ3TrnVJzZ9icCXvjxkcw3jHWvUCd3Svx5PAb2/B+t8J/C3wCPA1Bn+Q\n81uxfgZnKpzvfl9OdLebZqX/V6n/5hnq/1cDX+3qfwR4f9c+K/2/Wv1j6X8vPpKkhvh1dpLUEENd\nkhpiqEtSQwx1SWqIoS5JDTHUJakhhrokNcRQl6SG/B/DrzVIeNkLYQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa1b51bfd10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# now plot the distribution of the new accuracies after having removed over 3k accuracy points\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.hist(fixed_accuracy)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27.7350677 85.3097375\n"
     ]
    }
   ],
   "source": [
    "print details['details'][0]['lat'], details['details'][0]['lng']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# turn it into a format of list within list: [['comma separated wifi names of a network group', latitute, longitude]]\n",
    "location=[]\n",
    "for i in range(128):\n",
    "    if details['details'][i]['accuracy'] < 3000:\n",
    "        nearby_wifi[details['details'][i]['wifi']].append(details['details'][i]['wifi'])\n",
    "        \n",
    "        location.append([', '.join(nearby_wifi[details['details'][i]['wifi']]), details['details'][i]['lat'], details['details'][i]['lng']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "103"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['PPPoE BSD ParkHorizon, KHARAYOO, TP-LINK_BB63F8, bharat guest house, Suvadeep2, Wise_Vianet',\n",
       " 27.7350677,\n",
       " 85.3097375]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this is the format we need the data in\n",
    "# copy the output of location list and paste it onto the 'markers' variable in the wifiviz.html file.\n",
    "location[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Let's then reverse geocode the co-ordinates to place names\n",
    "import geocoder\n",
    "streets = []\n",
    "cities = []\n",
    "for i in range(1, len(location)):\n",
    "    g = geocoder.google([location[i][1],location[i][2]], method='reverse')\n",
    "    streets.append(g.street)\n",
    "    cities.append(g.city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dhapasi Marg Kathmandu\n"
     ]
    }
   ],
   "source": [
    "print streets[0], cities[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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",
       "            fig.waiting = false;\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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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",
       "            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",
       "            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",
       "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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step});\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",
       "    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",
       "    // 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 + '\">');\n",
       "    fig.send_message('closing', {});\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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 = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Container object of 22 artists>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import collections\n",
    "x = collections.Counter(streets)\n",
    "l = range(len(x.keys()))\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.xticks(l, x.keys())\n",
    "locs, labels = plt.xticks()\n",
    "plt.setp(labels, rotation=60)\n",
    "plt.bar(l, x.values())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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",
       "            fig.waiting = false;\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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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",
       "            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",
       "            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",
       "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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step});\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",
       "    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",
       "    // 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 + '\">');\n",
       "    fig.send_message('closing', {});\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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 = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Container object of 5 artists>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "x = collections.Counter(cities)\n",
    "l = range(len(x.keys()))\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.xticks(l, x.keys())\n",
    "locs, labels = plt.xticks()\n",
    "plt.bar(l, x.values(), align='center')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "---\n",
    "\n",
    "By: Subigya Kumar Nepal\n",
    "\n",
    "Link: [Posted at TheLacunaBlog](http://www.thelacunablog.com/?p=9150)\n",
    "\n",
    "Twitter: [@SkNepal](https://twitter.com/SkNepal)\n",
    "\n",
    "Last update on: May 14, 2016\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}