1_OD_Cleaning.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
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    }
   },
   "source": [
    "This data was provided by Transport for NSW. It is Night Bus Origin-Destination  pair data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T01:59:51.890401",
     "start_time": "2017-02-14T01:59:50.842535"
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    "collapsed": false,
    "init_cell": true,
    "run_control": {
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   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (12, 2)\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(font_scale=0.6)\n",
    "\n",
    "import geopy as gpd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Import and transform data\n",
    "\n",
    "\n",
    "use\n",
    "``` python\n",
    "df_raw = pd.read_pickle('ODPairData/df_raw.pkl')\n",
    "\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.745472",
     "start_time": "2017-02-14T01:59:58.672455"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "df_raw = pd.read_excel('ODPairData/Late Night Bus OD_pairs_data Aug-Dec 2016 20170119 Final.xlsx')            \n",
    "df_raw = df_raw.rename(columns={\"Calendardate\":\"Date\", \"Origin location\":\"Origin\", \"Destination location\":\"Destination\", \"Hour start band\": \"Bands\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.775918",
     "start_time": "2017-02-14T02:00:10.747161"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df_raw.Origin = df_raw.Origin.astype('category')\n",
    "df_raw.Destination = df_raw.Destination.astype('category')\n",
    "df_raw.Mode = df_raw.Mode.astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.794428",
     "start_time": "2017-02-14T02:00:10.777846"
    },
    "collapsed": true,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "df_raw['From'] = df_raw.Origin.apply(lambda s: s.split(',')[0].split('-')[0])\n",
    "df_raw.From = df_raw.From.astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.809914",
     "start_time": "2017-02-14T02:00:10.796390"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "BANDS = [\"{0:} - {0:}:59\".format(i) for i in range(0, 5)]\n",
    "df_raw.Bands = df_raw.Bands.astype('category', ordered=True,  categories=BANDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.872208",
     "start_time": "2017-02-14T02:00:10.812164"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 142649 entries, 0 to 142648\n",
      "Data columns (total 7 columns):\n",
      "Date           142649 non-null datetime64[ns]\n",
      "Origin         142649 non-null category\n",
      "Destination    142649 non-null category\n",
      "Bands          142649 non-null category\n",
      "Mode           142649 non-null category\n",
      "Totaltrips     142649 non-null int64\n",
      "From           142649 non-null category\n",
      "dtypes: category(5), datetime64[ns](1), int64(1)\n",
      "memory usage: 3.0 MB\n"
     ]
    }
   ],
   "source": [
    "df_raw.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.907164",
     "start_time": "2017-02-14T02:00:10.874742"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Destination 'No tap off' 6.5% by count or 6.2 by trips\n"
     ]
    }
   ],
   "source": [
    "print(\"Destination 'No tap off' {:.1f}% by count or {:.1f} by trips\".format(len(df_raw.query('Destination == \"No tap off\"'))/len(df_raw) *100, \n",
    "          df_raw.query('Destination == \"No tap off\"').Totaltrips.sum()/df_raw.Totaltrips.sum() *100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:10.927205",
     "start_time": "2017-02-14T02:00:10.909612"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df_raw = df_raw.query('Destination != \"No tap off\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:11.171614",
     "start_time": "2017-02-14T02:00:10.929150"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df_raw.to_pickle('ODPairData/df_raw.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Create cleaned data\n",
    "\n",
    "Use \n",
    "\n",
    "df = pd.read_pickle('ODPairData/df_clean.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:13.372161",
     "start_time": "2017-02-14T02:00:13.283222"
    },
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df_raw = pd.read_pickle('ODPairData/df_raw.pkl')\n",
    "df_Destination = pd.read_pickle('ODPairData/df_Destination.pkl')\n",
    "df_From = pd.read_pickle('ODPairData/df_From.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:13.898801",
     "start_time": "2017-02-14T02:00:13.764784"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df = df_raw.merge(df_Destination, on='Destination', how='left')\n",
    "\n",
    "df = df.merge(df_From, on='From', how='left', suffixes=(\"_to\", \"_from\"))[['Date', 'Bands', 'Origin', \n",
    "                    'From', 'LGA_from','Suburb_from', 'Location_from','PostCode_from',\n",
    "                    'Destination', 'LGA_to',  'Suburb_to',   'Location_to',  'PostCode_to',\n",
    "                    'Totaltrips']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:15.082683",
     "start_time": "2017-02-14T02:00:14.846675"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df.Destination =    df.Destination.astype('category')\n",
    "df.LGA_to =         df.LGA_to.astype('category')\n",
    "df.Suburb_to =      df.Suburb_to.astype('category')\n",
    "df.PostCode_to =    df.PostCode_to.astype('category')\n",
    "df.Suburb_to =      df.Suburb_to.astype('category')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:15.523738",
     "start_time": "2017-02-14T02:00:15.507262"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "BANDS = [\"{0:} - {0:}:59\".format(i) for i in range(0, 5)]\n",
    "df.Bands = df.Bands.astype('category', ordered=True,  categories=BANDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:16.529954",
     "start_time": "2017-02-14T02:00:16.479788"
    },
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df.From = df.From.astype('category')\n",
    "df.Origin = df.Origin.astype('category')\n",
    "df.LGA_from =         df.LGA_from.astype('category')\n",
    "df.Suburb_from =      df.Suburb_from.astype('category')\n",
    "df.PostCode_from =    df.PostCode_from.astype('category')\n",
    "df.Suburb_from =      df.Suburb_from.astype('category')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:17.566617",
     "start_time": "2017-02-14T02:00:17.456510"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 133394 entries, 0 to 133393\n",
      "Data columns (total 14 columns):\n",
      "Date             133394 non-null datetime64[ns]\n",
      "Bands            133394 non-null category\n",
      "Origin           133394 non-null category\n",
      "From             133394 non-null category\n",
      "LGA_from         133394 non-null category\n",
      "Suburb_from      133394 non-null category\n",
      "Location_from    133394 non-null object\n",
      "PostCode_from    133394 non-null category\n",
      "Destination      133394 non-null category\n",
      "LGA_to           133394 non-null category\n",
      "Suburb_to        133381 non-null category\n",
      "Location_to      133394 non-null object\n",
      "PostCode_to      133394 non-null category\n",
      "Totaltrips       133394 non-null int64\n",
      "dtypes: category(10), datetime64[ns](1), int64(1), object(2)\n",
      "memory usage: 6.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:18.394543",
     "start_time": "2017-02-14T02:00:18.390192"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df.Bands = df.Bands.cat.rename_categories(['Midnight', '1AM', '2AM', '3AM', '4AM'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:00:20.013784",
     "start_time": "2017-02-14T02:00:19.994812"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df['Night'] = df.Date.dt.weekday_name.astype('category', ordered=True,  categories=['Friday', 'Saturday', 'Sunday', 'Monday'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:24:56.844576",
     "start_time": "2017-02-14T02:24:33.053588"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from geopy.distance import distance\n",
    "df['Distance'] = df.apply(lambda row: distance(row['Location_to'], row['Location_from']).km, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:24:57.863874",
     "start_time": "2017-02-14T02:24:57.858297"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.269544133057479"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Distance[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:25:01.556542",
     "start_time": "2017-02-14T02:25:01.221086"
    },
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df.to_pickle('ODPairData/df_clean.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:41:02.920421",
     "start_time": "2017-02-13T21:41:02.885539"
    },
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_pickle('ODPairData/df_clean.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:20:55.922253",
     "start_time": "2017-02-13T21:20:55.915166"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2016-08-01 00:00:00'), Timestamp('2017-01-09 00:00:00'))"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Date.min(), df.Date.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Table of trip counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:20:57.780894",
     "start_time": "2017-02-13T21:20:57.775794"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bondi Junction Station', 'Central Station', 'Circular Quay',\n",
       "       'Kings Cross Station', 'Martin Place Station', 'Newtown Station',\n",
       "       'North Sydney Station', 'Parramatta Interchange ', 'Town Hall House',\n",
       "       'Town Hall Station'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.From.cat.categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:21:17.724673",
     "start_time": "2017-02-13T21:21:17.719659"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "def dest(df, start):\n",
    "\n",
    "    return (df.query('From == @start').\n",
    "                 groupby(['LGA_to', 'Night']).Totaltrips.agg(sum).to_frame().reset_index().\n",
    "                 pivot_table(index='LGA_to', columns='Night', aggfunc='sum', margins=True).\n",
    "                 dropna().\n",
    "                 sort_values([('Totaltrips', 'All')], ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:21:18.800572",
     "start_time": "2017-02-13T21:21:18.743713"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">Totaltrips</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night</th>\n",
       "      <th>Friday</th>\n",
       "      <th>Saturday</th>\n",
       "      <th>Sunday</th>\n",
       "      <th>Monday</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LGA_to</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>433.0</td>\n",
       "      <td>817.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1433.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sydney</th>\n",
       "      <td>265.0</td>\n",
       "      <td>547.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>901.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waverley</th>\n",
       "      <td>137.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>427.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woollahra</th>\n",
       "      <td>29.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Totaltrips                               \n",
       "Night         Friday Saturday Sunday Monday     All\n",
       "LGA_to                                             \n",
       "All            433.0    817.0  138.0   45.0  1433.0\n",
       "Sydney         265.0    547.0   72.0   17.0   901.0\n",
       "Waverley       137.0    236.0   35.0   19.0   427.0\n",
       "Woollahra       29.0     34.0   31.0    9.0   103.0"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dest(df, \"Kings Cross Station\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:21:20.054647",
     "start_time": "2017-02-13T21:21:19.992162"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">Totaltrips</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night</th>\n",
       "      <th>Friday</th>\n",
       "      <th>Saturday</th>\n",
       "      <th>Sunday</th>\n",
       "      <th>Monday</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LGA_to</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>All</th>\n",
       "      <td>16374.0</td>\n",
       "      <td>19719.0</td>\n",
       "      <td>12313.0</td>\n",
       "      <td>8111.0</td>\n",
       "      <td>56517.0</td>\n",
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       "    <tr>\n",
       "      <th>Sydney</th>\n",
       "      <td>6080.0</td>\n",
       "      <td>6832.0</td>\n",
       "      <td>4143.0</td>\n",
       "      <td>2523.0</td>\n",
       "      <td>19578.0</td>\n",
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       "    <tr>\n",
       "      <th>Marrickville</th>\n",
       "      <td>1694.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>709.0</td>\n",
       "      <td>5290.0</td>\n",
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       "    <tr>\n",
       "      <th>Canterbury</th>\n",
       "      <td>844.0</td>\n",
       "      <td>1048.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>502.0</td>\n",
       "      <td>3146.0</td>\n",
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       "    <tr>\n",
       "      <th>Rockdale</th>\n",
       "      <td>772.0</td>\n",
       "      <td>987.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>485.0</td>\n",
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      "text/plain": [
       "             Totaltrips                                   \n",
       "Night            Friday Saturday   Sunday  Monday      All\n",
       "LGA_to                                                    \n",
       "All             16374.0  19719.0  12313.0  8111.0  56517.0\n",
       "Sydney           6080.0   6832.0   4143.0  2523.0  19578.0\n",
       "Marrickville     1694.0   1930.0    957.0   709.0   5290.0\n",
       "Canterbury        844.0   1048.0    752.0   502.0   3146.0\n",
       "Rockdale          772.0    987.0    816.0   485.0   3060.0"
      ]
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     "execution_count": 300,
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    "dest(df, \"Central Station\").head()"
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  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {
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     "end_time": "2017-02-13T21:54:09.725991",
     "start_time": "2017-02-13T21:54:09.639276"
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       "      <th colspan=\"11\" halign=\"left\">Totaltrips</th>\n",
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       "    <tr>\n",
       "      <th>From</th>\n",
       "      <th>All</th>\n",
       "      <th>Town Hall Station</th>\n",
       "      <th>Central Station</th>\n",
       "      <th>Martin Place Station</th>\n",
       "      <th>Circular Quay</th>\n",
       "      <th>Bondi Junction Station</th>\n",
       "      <th>Parramatta Interchange</th>\n",
       "      <th>Newtown Station</th>\n",
       "      <th>Town Hall House</th>\n",
       "      <th>North Sydney Station</th>\n",
       "      <th>Kings Cross Station</th>\n",
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       "    <tr>\n",
       "      <th>LGA_to</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>72694.0</td>\n",
       "      <td>29986.0</td>\n",
       "      <td>16374.0</td>\n",
       "      <td>6315.0</td>\n",
       "      <td>5952.0</td>\n",
       "      <td>4581.0</td>\n",
       "      <td>3236.0</td>\n",
       "      <td>2712.0</td>\n",
       "      <td>2339.0</td>\n",
       "      <td>766.0</td>\n",
       "      <td>433.0</td>\n",
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       "    <tr>\n",
       "      <th>Sydney</th>\n",
       "      <td>17111.0</td>\n",
       "      <td>4051.0</td>\n",
       "      <td>6080.0</td>\n",
       "      <td>2159.0</td>\n",
       "      <td>2122.0</td>\n",
       "      <td>830.0</td>\n",
       "      <td>462.0</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>265.0</td>\n",
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       "    <tr>\n",
       "      <th>Waverley</th>\n",
       "      <td>6125.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1342.0</td>\n",
       "      <td>1370.0</td>\n",
       "      <td>3198.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>137.0</td>\n",
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       "    <tr>\n",
       "      <th>Randwick</th>\n",
       "      <td>4146.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>670.0</td>\n",
       "      <td>1850.0</td>\n",
       "      <td>1574.0</td>\n",
       "      <td>49.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>Marrickville</th>\n",
       "      <td>4085.0</td>\n",
       "      <td>1547.0</td>\n",
       "      <td>1694.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>605.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parramatta</th>\n",
       "      <td>3986.0</td>\n",
       "      <td>2063.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1019.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockdale</th>\n",
       "      <td>3607.0</td>\n",
       "      <td>2535.0</td>\n",
       "      <td>772.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>283.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ryde</th>\n",
       "      <td>3153.0</td>\n",
       "      <td>1421.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>149.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>906.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>Canterbury</th>\n",
       "      <td>3108.0</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>370.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>Strathfield</th>\n",
       "      <td>2587.0</td>\n",
       "      <td>1698.0</td>\n",
       "      <td>592.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>297.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>City of Kogarah</th>\n",
       "      <td>2487.0</td>\n",
       "      <td>1827.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Auburn</th>\n",
       "      <td>2407.0</td>\n",
       "      <td>1684.0</td>\n",
       "      <td>448.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>275.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>Canada Bay</th>\n",
       "      <td>2141.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>443.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>554.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ashfield</th>\n",
       "      <td>2063.0</td>\n",
       "      <td>1290.0</td>\n",
       "      <td>691.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willoughby</th>\n",
       "      <td>1984.0</td>\n",
       "      <td>1704.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>223.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leichhardt</th>\n",
       "      <td>1557.0</td>\n",
       "      <td>391.0</td>\n",
       "      <td>432.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>466.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burwood</th>\n",
       "      <td>1412.0</td>\n",
       "      <td>927.0</td>\n",
       "      <td>455.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blacktown</th>\n",
       "      <td>1339.0</td>\n",
       "      <td>889.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woollahra</th>\n",
       "      <td>1138.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ku-Ring-Gai</th>\n",
       "      <td>1103.0</td>\n",
       "      <td>1056.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liverpool</th>\n",
       "      <td>781.0</td>\n",
       "      <td>447.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Sydney</th>\n",
       "      <td>747.0</td>\n",
       "      <td>438.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holroyd</th>\n",
       "      <td>747.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>342.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Campbelltown</th>\n",
       "      <td>659.0</td>\n",
       "      <td>493.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fairfield</th>\n",
       "      <td>619.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>163.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bankstown</th>\n",
       "      <td>569.0</td>\n",
       "      <td>409.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hornsby</th>\n",
       "      <td>555.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Botany Bay</th>\n",
       "      <td>469.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>357.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sutherland Shire</th>\n",
       "      <td>425.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hunters Hill</th>\n",
       "      <td>343.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wollongong</th>\n",
       "      <td>296.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hurstville</th>\n",
       "      <td>276.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Penrith</th>\n",
       "      <td>153.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Hills Shire</th>\n",
       "      <td>153.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bogan</th>\n",
       "      <td>127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lane Cove</th>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawkesbury</th>\n",
       "      <td>53.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manly</th>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mosman</th>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Warringah</th>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newcastle</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pittwater</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Totaltrips                                    \\\n",
       "From                    All Town Hall Station Central Station   \n",
       "LGA_to                                                          \n",
       "All                 72694.0           29986.0         16374.0   \n",
       "Sydney              17111.0            4051.0          6080.0   \n",
       "Waverley             6125.0               NaN            75.0   \n",
       "Randwick             4146.0               NaN           670.0   \n",
       "Marrickville         4085.0            1547.0          1694.0   \n",
       "Parramatta           3986.0            2063.0           585.0   \n",
       "Rockdale             3607.0            2535.0           772.0   \n",
       "Ryde                 3153.0            1421.0           307.0   \n",
       "Canterbury           3108.0            1875.0           844.0   \n",
       "Strathfield          2587.0            1698.0           592.0   \n",
       "City of Kogarah      2487.0            1827.0           539.0   \n",
       "Auburn               2407.0            1684.0           448.0   \n",
       "Canada Bay           2141.0             883.0           443.0   \n",
       "Ashfield             2063.0            1290.0           691.0   \n",
       "Willoughby           1984.0            1704.0            30.0   \n",
       "Leichhardt           1557.0             391.0           432.0   \n",
       "Burwood              1412.0             927.0           455.0   \n",
       "Blacktown            1339.0             889.0           263.0   \n",
       "Woollahra            1138.0             226.0            30.0   \n",
       "Ku-Ring-Gai          1103.0            1056.0             NaN   \n",
       "Liverpool             781.0             447.0           206.0   \n",
       "North Sydney          747.0             438.0             4.0   \n",
       "Holroyd               747.0             326.0            79.0   \n",
       "Campbelltown          659.0             493.0           130.0   \n",
       "Fairfield             619.0             356.0           100.0   \n",
       "Bankstown             569.0             409.0           121.0   \n",
       "Hornsby               555.0             470.0            59.0   \n",
       "Botany Bay            469.0               NaN           357.0   \n",
       "Sutherland Shire      425.0             297.0           105.0   \n",
       "Hunters Hill          343.0             127.0            22.0   \n",
       "Wollongong            296.0             213.0            63.0   \n",
       "Hurstville            276.0             186.0            68.0   \n",
       "Penrith               153.0              94.0            31.0   \n",
       "The Hills Shire       153.0              32.0            11.0   \n",
       "Bogan                 127.0               NaN            47.0   \n",
       "Lane Cove              93.0               NaN             NaN   \n",
       "Hawkesbury             53.0              31.0            20.0   \n",
       "Manly                  40.0               NaN             NaN   \n",
       "Mosman                 29.0               NaN             NaN   \n",
       "Warringah              19.0               NaN             1.0   \n",
       "Newcastle               1.0               NaN             NaN   \n",
       "Pittwater               1.0               NaN             NaN   \n",
       "\n",
       "                                                                            \\\n",
       "From             Martin Place Station Circular Quay Bondi Junction Station   \n",
       "LGA_to                                                                       \n",
       "All                            6315.0        5952.0                 4581.0   \n",
       "Sydney                         2159.0        2122.0                  830.0   \n",
       "Waverley                       1342.0        1370.0                 3198.0   \n",
       "Randwick                       1850.0        1574.0                   49.0   \n",
       "Marrickville                    228.0           3.0                    NaN   \n",
       "Parramatta                       18.0          81.0                    NaN   \n",
       "Rockdale                          NaN           6.0                   10.0   \n",
       "Ryde                             86.0         273.0                    NaN   \n",
       "Canterbury                       19.0           NaN                    NaN   \n",
       "Strathfield                       NaN           NaN                    NaN   \n",
       "City of Kogarah                   3.0           6.0                    NaN   \n",
       "Auburn                            NaN           NaN                    NaN   \n",
       "Canada Bay                      109.0         128.0                    NaN   \n",
       "Ashfield                         28.0           NaN                    NaN   \n",
       "Willoughby                       23.0           NaN                    2.0   \n",
       "Leichhardt                      148.0         119.0                    NaN   \n",
       "Burwood                           NaN           NaN                    1.0   \n",
       "Blacktown                         NaN           NaN                    NaN   \n",
       "Woollahra                       255.0         225.0                  373.0   \n",
       "Ku-Ring-Gai                       NaN           NaN                    NaN   \n",
       "Liverpool                         NaN           NaN                    NaN   \n",
       "North Sydney                     24.0           NaN                   24.0   \n",
       "Holroyd                           NaN           NaN                    NaN   \n",
       "Campbelltown                      NaN           NaN                    NaN   \n",
       "Fairfield                         NaN           NaN                    NaN   \n",
       "Bankstown                         NaN           NaN                    NaN   \n",
       "Hornsby                           NaN           NaN                    NaN   \n",
       "Botany Bay                       10.0          25.0                   73.0   \n",
       "Sutherland Shire                  NaN           NaN                    NaN   \n",
       "Hunters Hill                      7.0          20.0                    NaN   \n",
       "Wollongong                        NaN           NaN                    NaN   \n",
       "Hurstville                        NaN           NaN                    NaN   \n",
       "Penrith                           NaN           NaN                    NaN   \n",
       "The Hills Shire                   NaN           NaN                    NaN   \n",
       "Bogan                             5.0           NaN                   21.0   \n",
       "Lane Cove                         NaN           NaN                    NaN   \n",
       "Hawkesbury                        NaN           NaN                    NaN   \n",
       "Manly                             NaN           NaN                    NaN   \n",
       "Mosman                            NaN           NaN                    NaN   \n",
       "Warringah                         NaN           NaN                    NaN   \n",
       "Newcastle                         1.0           NaN                    NaN   \n",
       "Pittwater                         NaN           NaN                    NaN   \n",
       "\n",
       "                                                                          \\\n",
       "From             Parramatta Interchange  Newtown Station Town Hall House   \n",
       "LGA_to                                                                     \n",
       "All                               3236.0          2712.0          2339.0   \n",
       "Sydney                             462.0          1064.0            55.0   \n",
       "Waverley                             NaN             1.0             NaN   \n",
       "Randwick                             NaN             NaN             NaN   \n",
       "Marrickville                         2.0           605.0             6.0   \n",
       "Parramatta                        1019.0             NaN           218.0   \n",
       "Rockdale                             NaN           283.0             NaN   \n",
       "Ryde                               149.0             NaN           906.0   \n",
       "Canterbury                           NaN           370.0             NaN   \n",
       "Strathfield                        297.0             NaN             NaN   \n",
       "City of Kogarah                      2.0           109.0             NaN   \n",
       "Auburn                             275.0             NaN             NaN   \n",
       "Canada Bay                          24.0             NaN           554.0   \n",
       "Ashfield                            53.0             1.0             NaN   \n",
       "Willoughby                           2.0             NaN             NaN   \n",
       "Leichhardt                           1.0             NaN           466.0   \n",
       "Burwood                             29.0             NaN             NaN   \n",
       "Blacktown                          187.0             NaN             NaN   \n",
       "Woollahra                            NaN             NaN             NaN   \n",
       "Ku-Ring-Gai                          1.0             NaN             NaN   \n",
       "Liverpool                           55.0            73.0             NaN   \n",
       "North Sydney                         1.0             1.0             NaN   \n",
       "Holroyd                            342.0             NaN             NaN   \n",
       "Campbelltown                         NaN            36.0             NaN   \n",
       "Fairfield                          163.0             NaN             NaN   \n",
       "Bankstown                           11.0            28.0             NaN   \n",
       "Hornsby                              6.0             NaN             NaN   \n",
       "Botany Bay                           4.0             NaN             NaN   \n",
       "Sutherland Shire                     NaN            23.0             NaN   \n",
       "Hunters Hill                        11.0            22.0           134.0   \n",
       "Wollongong                           NaN            20.0             NaN   \n",
       "Hurstville                           NaN            22.0             NaN   \n",
       "Penrith                             28.0             NaN             NaN   \n",
       "The Hills Shire                    110.0             NaN             NaN   \n",
       "Bogan                                NaN            54.0             NaN   \n",
       "Lane Cove                            NaN             NaN             NaN   \n",
       "Hawkesbury                           2.0             NaN             NaN   \n",
       "Manly                                NaN             NaN             NaN   \n",
       "Mosman                               NaN             NaN             NaN   \n",
       "Warringah                            NaN             NaN             NaN   \n",
       "Newcastle                            NaN             NaN             NaN   \n",
       "Pittwater                            NaN             NaN             NaN   \n",
       "\n",
       "                                                           \n",
       "From             North Sydney Station Kings Cross Station  \n",
       "LGA_to                                                     \n",
       "All                             766.0               433.0  \n",
       "Sydney                           23.0               265.0  \n",
       "Waverley                          2.0               137.0  \n",
       "Randwick                          3.0                 NaN  \n",
       "Marrickville                      NaN                 NaN  \n",
       "Parramatta                        2.0                 NaN  \n",
       "Rockdale                          NaN                 1.0  \n",
       "Ryde                             11.0                 NaN  \n",
       "Canterbury                        NaN                 NaN  \n",
       "Strathfield                       NaN                 NaN  \n",
       "City of Kogarah                   NaN                 1.0  \n",
       "Auburn                            NaN                 NaN  \n",
       "Canada Bay                        NaN                 NaN  \n",
       "Ashfield                          NaN                 NaN  \n",
       "Willoughby                      223.0                 NaN  \n",
       "Leichhardt                        NaN                 NaN  \n",
       "Burwood                           NaN                 NaN  \n",
       "Blacktown                         NaN                 NaN  \n",
       "Woollahra                         NaN                29.0  \n",
       "Ku-Ring-Gai                      46.0                 NaN  \n",
       "Liverpool                         NaN                 NaN  \n",
       "North Sydney                    255.0                 NaN  \n",
       "Holroyd                           NaN                 NaN  \n",
       "Campbelltown                      NaN                 NaN  \n",
       "Fairfield                         NaN                 NaN  \n",
       "Bankstown                         NaN                 NaN  \n",
       "Hornsby                          20.0                 NaN  \n",
       "Botany Bay                        NaN                 NaN  \n",
       "Sutherland Shire                  NaN                 NaN  \n",
       "Hunters Hill                      NaN                 NaN  \n",
       "Wollongong                        NaN                 NaN  \n",
       "Hurstville                        NaN                 NaN  \n",
       "Penrith                           NaN                 NaN  \n",
       "The Hills Shire                   NaN                 NaN  \n",
       "Bogan                             NaN                 NaN  \n",
       "Lane Cove                        93.0                 NaN  \n",
       "Hawkesbury                        NaN                 NaN  \n",
       "Manly                            40.0                 NaN  \n",
       "Mosman                           29.0                 NaN  \n",
       "Warringah                        18.0                 NaN  \n",
       "Newcastle                         NaN                 NaN  \n",
       "Pittwater                         1.0                 NaN  "
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LGA_from_to =(df.query('Night == \"Friday\"').\n",
    "                 groupby(['From', 'LGA_to'], as_index=False).agg({\"Totaltrips\":sum}).\n",
    "                 pivot_table(index='LGA_to', columns='From', aggfunc='sum', margins=True).\n",
    "                 sort_values([('Totaltrips', 'All')], ascending=False).\n",
    "                 sort_values(['All'], ascending=False, axis='columns'))\n",
    "LGA_from_to"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-13T21:54:21.590092",
     "start_time": "2017-02-13T21:54:21.000119"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f143339ef28>"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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s8PX1pUOHDmb75hNCCCGE6ZhrnVvVJLcajYZ27doRFBRE586d0ev1ZGdnM3v2bP7880/S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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f14333ca668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(LGA_from_to.drop(('Totaltrips', 'All'),  axis=\"columns\").drop(\"All\", axis=\"rows\"))              "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram of Distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:49:10.329332",
     "start_time": "2017-02-14T02:49:10.320854"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Bogan, Wollongong, Hawkesbury, Penrith, Newcastle]\n",
       "Categories (5, object): [Bogan, Wollongong, Hawkesbury, Penrith, Newcastle]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Distance > 50].LGA_to.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:49:58.267593",
     "start_time": "2017-02-14T02:49:58.247422"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Old South Head Rd near Edgecliff Rd, Marrickville Rd near New Canterbury Rd, Illawarra Rd near Warren Rd, Burwood Rd near Tobruk Av, Military Rd near Old South Head Rd, ..., Oxford St near Paddington Primary, Beauchamp Rd near Bunnerong Rd, Ramsay St near O'Connor St, Mortley Av near Dobroyd Pde, Canterbury Rd near Canterbury Station]\n",
       "Length: 11\n",
       "Categories (11, object): [Old South Head Rd near Edgecliff Rd, Marrickville Rd near New Canterbury Rd, Illawarra Rd near Warren Rd, Burwood Rd near Tobruk Av, ..., Beauchamp Rd near Bunnerong Rd, Ramsay St near O'Connor St, Mortley Av near Dobroyd Pde, Canterbury Rd near Canterbury Station]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query('LGA_to in [\"Bogan\",  \"Newcastle\", \"Wollongong\"]').Destination.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:53:16.204970",
     "start_time": "2017-02-14T02:53:16.173856"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    132509.000000\n",
       "mean         12.146904\n",
       "std           8.075651\n",
       "min           0.000000\n",
       "25%           5.809324\n",
       "50%          10.950750\n",
       "75%          16.385146\n",
       "max          53.451355\n",
       "Name: Distance, dtype: float64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query('LGA_to not in [\"Bogan\",  \"Newcastle\", \"Wollongong\"]').Distance.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:53:50.823569",
     "start_time": "2017-02-14T02:53:49.664144"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3fcb61a860>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2VKvV9PT0pKOjIz09PZk+fXqOO+64PPXUU0mS7u7uTJw4sW4ztra21O1zw2gw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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3fcb60c390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.query('LGA_to not in [\"Bogan\",  \"Newcastle\", \"Wollongong\"]').Distance.plot.hist(bins=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-14T02:57:27.916518",
     "start_time": "2017-02-14T02:57:27.578558"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.5/site-packages/statsmodels/nonparametric/kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3fcc88b1d0>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tSkSXh9DNmp7P19eD7h5ub/RyODbQdnsAAP2NEApPuCE0GDAVCvh63JrtzT2+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\nhBBCCDHqJIQKIYQQQohR9/8BmXjvQIubZDUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3fce455a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df.query('LGA_to not in [\"Bogan\",  \"Newcastle\", \"Wollongong\"]').Distance, bins=25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Visualisation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "- vincent http://wrobstory.github.io/2013/04/python-maps-choropleth.html\n",
    "- folium, geopands https://ocefpaf.github.io/python4oceanographers/blog/2015/08/24/choropleth/\n",
    "\n",
    "Postcodes\n",
    "abs http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/2923.0.30.0012006\n",
    "\n",
    "electorial commision, PCOde to LGA http://www.elections.nsw.gov.au/about_elections/electoral_boundaries/postcode_locality_list\n",
    "\n",
    "\n",
    "https://data.gov.au/dataset/nsw-suburb-locality-boundaries-psma-administrative-boundaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T00:31:55.863688",
     "start_time": "2017-02-12T00:31:55.848604"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_pickle('ODPairData/df_clean.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T00:08:55.738585",
     "start_time": "2017-02-12T00:08:55.735723"
    },
    "heading_collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "## folium\n",
    "\n",
    "https://gist.github.com/sjsrey/6802208"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T00:00:00.902324",
     "start_time": "2017-02-12T00:00:00.654891"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import folium\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T00:01:37.258741",
     "start_time": "2017-02-12T00:01:21.579022"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "geo_str = json.dumps(json.load(open('NSW LGA.json', 'r')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2017-02-12T00:02:10.963Z"
    },
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "mapa = folium.Map(location=[-15.80, -47.88],\n",
    "                  tiles=\"Mapbox Bright\",\n",
    "                  zoom_start=3)\n",
    "mapa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "threshold_scale = np.linspace(df['2013'].min(),\n",
    "                              df['2013'].max(), 6, dtype=int).tolist()\n",
    "\n",
    "\n",
    "\n",
    "mapa.geo_json(geo_str=geo_str,\n",
    "              data=df,\n",
    "              columns=['state', '2013'],\n",
    "              fill_color='YlGn',\n",
    "              key_on='feature.id',\n",
    "              threshold_scale=threshold_scale)\n",
    "\n",
    "mapa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "## Geopandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Get data from https://data.gov.au/dataset?tags=Boundaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:22:12.248925",
     "start_time": "2017-02-12T23:22:12.245179"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "import geopandas as gp\n",
    "from shapely.geometry import box"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "### LGA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:22:23.265262",
     "start_time": "2017-02-12T23:22:15.765385"
    },
    "collapsed": false,
    "hidden": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "gdf_LGA = gp.read_file('geodata/NSW_LGA.shp')[['nsw_lga__3', 'geometry']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T20:28:35.344577",
     "start_time": "2017-02-12T20:28:35.338350"
    },
    "hidden": true
   },
   "source": [
    "- nsw_lga__3 = LGA names?\n",
    "- nsw_lga__2 = name of council\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:22:23.274626",
     "start_time": "2017-02-12T23:22:23.266975"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "gdf_LGA = gdf_LGA.rename(columns={'nsw_lga__3':'LGA'}).query('LGA != \"UNINCORPORATED\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:22:25.287346",
     "start_time": "2017-02-12T23:22:24.689102"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LGA</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MAITLAND</td>\n",
       "      <td>(POLYGON ((151.48999291 -32.6104182, 151.48994...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>BROKEN HILL</td>\n",
       "      <td>(POLYGON ((141.56347702 -31.8849776, 141.55776...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>BEGA VALLEY</td>\n",
       "      <td>(POLYGON ((149.63534931 -36.12844024, 149.6356...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MURRAY RIVER</td>\n",
       "      <td>(POLYGON ((143.90218147 -34.33132222, 143.9025...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>HAY</td>\n",
       "      <td>(POLYGON ((144.8019946 -33.51228339, 144.81921...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             LGA                                           geometry\n",
       "18      MAITLAND  (POLYGON ((151.48999291 -32.6104182, 151.48994...\n",
       "19   BROKEN HILL  (POLYGON ((141.56347702 -31.8849776, 141.55776...\n",
       "20   BEGA VALLEY  (POLYGON ((149.63534931 -36.12844024, 149.6356...\n",
       "21  MURRAY RIVER  (POLYGON ((143.90218147 -34.33132222, 143.9025...\n",
       "22           HAY  (POLYGON ((144.8019946 -33.51228339, 144.81921..."
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_LGA.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:22:40.004103",
     "start_time": "2017-02-12T23:22:39.991608"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "df_totals=df.groupby(['LGA']).Totaltrips.agg(sum).to_frame().reset_index()\n",
    "df_totals.LGA = df_totals.LGA.apply(str.upper)\n",
    "df_map = gp.GeoDataFrame(df_totals.merge(gdf_LGA, on='LGA'), crs=gdf_LGA.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:24:58.137627",
     "start_time": "2017-02-12T23:24:58.091754"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LGA</th>\n",
       "      <th>Totaltrips</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BOGAN</td>\n",
       "      <td>362</td>\n",
       "      <td>(POLYGON ((146.56180343 -30.84915753, 146.5813...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     LGA  Totaltrips                                           geometry\n",
       "1  BOGAN         362  (POLYGON ((146.56180343 -30.84915753, 146.5813..."
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_map.query('LGA == \"BOGAN\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:28:59.262505",
     "start_time": "2017-02-12T23:28:55.785386"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1437874320>"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nLgwdOhJTU9NvYmPfjBAJQ8MCAvxJSkrizp3bzJnzMyb58lG5ciWkUjELX5cO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EDv3n1p3bodW7Z44et7gs6duzJ+/BSt693d3YiLi2PJkhVarx879hPHjv2ETCaldev2DBigPoLd\nsGEtT548wtLSirlzF+qUEu7Ondt4eKjv8/PP77JVTZkyDn//J7i6LqZFi1YAvHgRzKpVbiiVSkaO\nHEujRk1ITU3F1fUbEhMTkcvlLFiwDCsrK804KpWKZcuWEB4eipNTNSZOnAbA+fNnOHjwOwwMDJk3\nb5EmyjUnBEHg1199iY6OpkeXDrlenxdad+0NgJfXVuztc456Fck7JXoPQ66Kz9VZZCARBOSq3EOj\nU1NT2b9/L6tXe7J+/WZat24HQN++A1iwYGmm68PDw4iKepPlWE2aNMPbexebN+/g8uWLxMTE8Pjx\nI2JjY/Dy8qZDh078+OMhneyvWrUq27b5ZJqCu7ouoU+f/lqvbd26ERcXV1av9mTbNnUOkj/+uELl\nylXw8vKmW7ceHD/+s1afK1cuYWtrx969e0lOTuLBg/solUoOHPgOL69v+eqrMezc+W2udqampjJl\nyjiGDOlHlcqONGtUX6f3pwu37j7gZUgYAL179y2wcUXeUWIdhkRQIBOS89RHJiQjERQ5XvPgwT0M\nDAz5+utpzJ07i7dv1UeBVlZZT6v37dujCd76O+//Aurp6SGVSggJeUXVqtUAqFatBrdv39LJdmNj\nkyzDnEuVsskUKh4VFUXZsuUwNjbBwsKCuLhYypUrT0pKCqDOivX3aNR79+7StKk6nX7z5h9x795t\nXr16SaVKjshkMpyd6xEYGJCjjVFRUXz55accOXIIj6Vzuex7sMDyXQiCwFSXxVhYWHDz5oMC3RMR\neUeJfapSIRVJHkPSJIK6X05kCMJWrVpLjx692L49c0h3BvkVhN26pc6YXViCMNV7YY4mJibExcVR\nrlx5nj0LZPDgPvz88xE6ddIO046Pj8PExITU1FR+++0CBw9+z6CBX/Lbbxf4/Xe/TOP+nSdPHtO1\nSzsCnj7hl4O7GDt8IKYmucupdUEQBD7tP5I/b9+jV68vKFeufIGMK5KZEuswJPlUk+TW7++CsODg\nZ9leu3fvLgYMGKKTIGzatFmAtiAsLCwskyDs9GlfJk0aw8aN67MaTife3wzMEMidPHmcevUa4ONz\nkJEjx2ZaXmSI6m7evMn27d/y5nUEDZyrkxAfS8+e3fjii08ICXnF1KkTmDdvNpcv/6bJGn7u3Gm6\nd++AibE+F08coHmTBvm2PSu8tu3h/KXfGT58JCtXrinQsUW0KbGbnvlN7ptbv38qCOvV6zNNe34E\nYZ06dc3065/d/bN73cbGhtDQECwtLYmPj8fc3AIQsLBQL0PMzMw1itsMnJ3rcv36VQYM6IuxsTGj\nh/RlxOA+jJoyF5epY/D03kNsfAL+j+8SEfEab+/N2JSyQaFUEBMTQ5eObdnp5Y65mWm2tueH36/f\nxGXhSiZOnIqrq24aHZH8U2K1JBJBgaEyPE/LEkECKTJ7BEnOfvTHHw9z9uyvGkFYmTJltQRhderU\n1doAzRCELVmyArlcyrp1q5g69WuWLl3E7ds3sbNTFwPOThCmy/Hg8+fBrF27isePH1KzZm3Gj59C\n1arVWL58Mbdv38TExIQOHTozcOBQgoOf4e7uhkql4quvxtC4cVMSExNwdZ1DWloqgiDwzTfzKVeu\nvEa8plQqWbVqKRERYVy6dIlWTRvwrecKTl/w47vDxzAw0GfxN1Owsy2FIAhc+/MOvmcv8t2hn/n8\nky4snTezwNPtJSenYFtFXVT5ypU/qVIl54Q7oo4nZ/7zhYz0lVHIVbpvfCqkRqTJCjcnREn40q5e\nvY6ZM6dx18+XypUq5Njn/YzyBYlKpeKzQWM499sVFi9246uvxmjSGGZHSXj2Re0wSuweBoBCaoag\n45dVkEhQSAu2lmdJpW/fAVhbWzNj3lJSUnLeJC6s4Kl1m3dw9qIfbm7ujBkzIVdnIVIwlGiHoZLo\nkya1ztVpCBIJaVJrnYK2RNQnK5s3b+f0+cts3Lbng9//3G9XcHVbQ7169enXb+AHv/9/mRLvlpVS\nI1IltshV8ciUcUjTktXlByRSVPpGKGXmKKRm/1lnER4ehqGhIRYWlnmaDbRq1QaZTJbjUWphMXn2\nQmrVqsPevYe0cqWKFD4l3mEACMp0SIqBtLcgvJdCPiUJ9FUIxoYg/+85jJCQVzRqVAeVSoWJiQnl\nypWjbNnylC1b/q9/l6NcufKoVCoWLpyLnV1pqlZ1onTpslhbl0KpVH5wvcZ3h34m+MUrPv+sOaVL\nl/6g9xb5DzgMWepb9BOe/XWuKMk0k5ClxSBLjyXVtDIqA8usBymhPHr0AJVKxfoVC0hMTOJlaBgv\nQ8K4d/sav5z4maho7YQ2XTq0we/SeZ4FvyI+QZ3U+PSFy8ycNPqD2Hvq7MW/SgN0Y5X72g9yTxFt\nSrTDkCgS33MWOSAIGCQEkSKrjiD/70xxg4ICMTQ0YPjAL7MMpU5KTuZVSDivQsOwMDejScO6GBrp\nkZyURlR0DC9ehRao0jQnXkdFM23OUho1asLOXfvETc4iokQ/db2k8NydRQaCgF5SOGnmOWfOTkxM\nYOrUCTx/HszWrTtxdKwMkKVaNSUlhSVL5hMTE0PLlq0ZMGAIAGvXruXyZT9AwoQJUzJlHj90aD/n\nzp3G0tKS+fOXYGxsnKXCVBeyUqump6ezbp07Fy6co2KFikilUn77/TrbfA6hpyenZjUnZk74CplM\nhsfG7SCRkJKcglKl4se9G5BIJFhbWWJiYsyk2Ys17Qqlku+813Dm4hU2bd+HiYkxPpvddXv+OZCe\nnk73L4eTnJLGpk3fis6iCCmxT16iTEOWFpunPrK0WCTKNARZ9vsZhoZGeHiszxSa3bfvAJo1a8Hv\nv1/WvHbs2E+0aNGKHj16MmPGZDp37o6xsSFXr15l27bdhIaGsWLFEtas8dL0iY2Nwc/vNzZv3s6v\nv/py5MhBBg0aplGYWllZMWPGZJ0dhqvrEo4e/VHrtcOHD9CiRSuuXbuKvY26rkr1Ko7s8lqBVCpl\nzpLVPPIPpGY1J7zXqgPQjvmeI+K1turWQF9fqz088jUATRvWpV2rZgyf+I1ONubG7u9/4LF/AGfO\n/KZx0CJFQ4k9VpWmx5OvymfpOYu9ZDKZJoT6fbJSq96/f0ej8GzSpCkPHtzF2NgYS0tLFAoFcXFx\nWFpaafV59Ogh9euroxebN2/BvXt3AHVd278rTHUhK7Xq1atXuHv3Fq9evUBfT+0cS9vaaJYlenpy\npFLtzczTF6/QuX3LbO9z+uIVOrVTz2DMzUyRF2BU567vfqBHj08zzcREPjwl1mFIBOUH7ZcV75dI\nzCibKJfLqV69On36fMbMmZMzSd/VqlC13iKjDitkrTDNL5GREVStWoOgoCCiY+N5/ebd5uaDx095\nGxNH9SrvfsnjExKJfhtDpQrlsn6fmvayWbb/UxKTkrl69Q/8/Z8UyvgiulNiHYYgyd8vXH77ZYWZ\nWeayic+fB3P37l2OHDnGt9/uxtNztVYftSpUfQKRmPiuFOP7m5J/L9EYFxfHpEljmDx5LLGxMTrY\nZY61tVrzUau6E8EvQwCIeP2G1Zt2sNhFO2PYRb9rtGvZNNvxcmv/p9jb2RAZGcGePTsK7R4iulFi\nHYZKz4y8V1iV/NVPN7KS4bz/Up069bhx4xoAN25co3ZtZwRB0Pyxm5iYkJKirXWpWbM2d+6ok+Zc\nvfquFGOGwjQpKfE9hakac3NzNmzYiqfnliyXS3+3y9m5HufPnwEgJjaesg52JCUn47JkNfOmj8fS\nQrte7OmLfnRql9NyJOv2gpIpJSQmYmpqxpw5CwpkPJH8U2I3PQWZPkp9C2Rpuf/iZqDUt8hxwzOD\nWbOmEBDwlJcvn/Ppp5/TrVuPLMsX9ujRk8WL53PixFE++qgVNja2yOVSbG1tGT16BAqFgqFDRwLq\n3BkdO3bB3t6BFi1aMW7cV5ibm2tUr6NGjWfZsoUahamuZKhVL1++yLNngQwcOJS+fQfQq1c3nOvU\npnH9OpSxL802n4OEhUeywtMbgLHD+tGwbm0SEpOIfhtLxfLvlhtHfc9RsVxZnGtVy7L9z9v32bb3\nEC9ehTJ+1gIWu0zFxtoqk226oFQquXX3AaDO+tWsWfN8jSNSMJRotapEkYhh7BPdjlYlElIsCj8O\nozgoJvfs2cnMmVO4cuoH6tapqXM/qVSCoZEeKcnpqFQf5mtz0e8q/+sznC1btvP551/+o7GKw7PP\nL6Ja9QMgyE1INa0MuYUvSySkmlb+TwRtJSUl4e6+nD6f9ciTsygqlq/dBCBmAC8mlNglSQYqA0tS\nZNXRSwpHlvgaSXIsqFQglSIYWaA0sSXd2P4/4SwAtm3bQnR0FPNnTSpqU3JFqVRy7+ETvvpqNC1a\nZL+HIvLhKPEOA4C0dIiKhtgIUKQgQVCn4pOngIUM5KX+E0/i7dtoPD3XMGLQlzhWLP6JcqNjYomN\njaNlyzZiUaJiQolekgBIY8IwCPBDFhsOSBHkxqjkJghyY0CKLDYcgwA/pLHhRW1qoePpuRalQsHX\nU8YWtSk6YW1pgYW5GVev/l7Upoj8RYl2GJKkGPRf3ESSS84GiUqF/vM/kSTpfqLybyM0NITt27cy\nacxQStvaFLU5OiGTyZg8Zjhbt27E3t6SefNmF7VJ/3lK9CmJ/rPrf80sdENpYU+aY84ajezEZwkJ\nCXh4LOft27eUL1+emTNdtEohtmnzMf37DyIyMpwVKxajVKqIiYmlXLlyLFv2TqAVFhaKm9siJBIJ\nsbHv2g8f3s+BA99Ro0atTCUXsyMsLJSlSxcglUoJCgokKCiQe34nWb1pB8+CX2JoZEjr5o0Y3KdX\nluIzgFkLVhITG0dauoLp44bRolk9rVOSMxevsO/QUQwNDVj8zRRsbayJio5h/vJ1pKSm0vuTrnTv\n1Fbnz+DvCILAwhVrWe21DYDIyPxHuIqnJDmjyylJyV25pyUjjYvIUxdpXASkJYN+9rVMsxOfbd++\nlYEDh2qqloG6FOInn/QCYPz4kXTr1oMyZcrg4+PD27eJeHtvyVSmwMGhDBs2qIsj7djhrWnv2LEr\nH33Ums2bN+j8fszMzFm1ai0hISH06NGJHl07aNL8L5w9mcqV3u1jZCc+W+46E7lMRljEaxa7e9Gi\n2Ts9h1KpZO+hn9m+3o37j57ivecAc6ePY9f3Rxg+4Asa1avNiMkudGr3EXp6ejrb/T6hYRH4BwZj\naGiIj8+BfI0hUnCU2CWJLOGNznVVM5AIArKErOugasbNRnz29OkTjhw5xOTJY7l06QKQdSnE97l8\n+TfatGmX7b3eb7e0tMxz+T9TU1NMTExxc1uElaUFLZqoRW0SJCz28GL8rIX4BwYD2YvPMkRkCYmJ\nVK1cUWv8FyFhVK5YHplMRr06NQgIeg6o9ShNGjgjlUqpXb0qAc9e5MnuDELDIujyxRD8rt7E3X0d\nbdu2z9c4IgVHyZ1hKHOukVrQ/R4+vM+kSdOpUKEiEyaMonnzlppf1fdLIWbw7FkQdnZ2GBtnfZwb\nHPwsx3ZduX79Kr6+v9C6ZQs+79EJgOnjh2NuZkrwixBcV6xnz6ZVmuuzEp+NnDKXFyGhLJ0zVWvs\nuPgETIyNNf9X/rVXpFC8e4YmJkbExSfky/ZRU11ITlVw5swlsfxhMaFAZhhRUVH069ePwYMHM2zY\nMN68efcrnZSURIsWLbh48WKWfXNrzzeyfPrCfPazs7OnevUaGBkZUaFCRV6/jgQyl0LM4Ny5M7Rv\n3zHb8c6fz7n9fbITnwmCwJIlC6hapQpL507DzFS9HMlYllSqUBaJRKLRfGQnPtu2fhk+m91Zt2W3\n1utmpiYkvFchTfbXDOX9BDcJCUl5rnamUCgYMGoKFy//wciRY0RnUYwoEIdhbW3N/v378fHxoWfP\nnhw+fFjT5uPjQ506dbLtm1t7flGa2uhckyQDQSJBaar7CcL7+8VVqlQlJOQVSqWS0NAQSpWy0ZRC\ndHVdrFUKEeDSpYu0bp39ZuDly79lahcEIUtBV3bis7Nnf+XZs0B6f9qFBs61NHevHOAAACAASURB\nVK8nJqkFb9FvY1AoFEgkEhKTshafKf6qj2poYICJsfbeToVyZQh+EUK6QsGd+4+p6lQJgNo1qnL9\n1j0USiWPnwbhlEuxo78zd9lqTpw6x/r1m5gwYUruHUQ+GAWyJHk/qCYxMZEqVaoA6pMDf39/6tXL\nOvFJbu3/CH0jVOal83RKojIvneOGZwZZic9Gjx7PypVLSUtL49NPP8PAwIDt27cSGxvDokXz/uo3\nB0fHSgQGBmJnV1prufG++Oz58+BMy5GzZ3/lhx8OEhLykmnTJrB27cac34tKxZIlrlhaWPDsRQij\np8/n41bN6Pd5D+YtW0tsfDyCSmD6uOEAfP/DsUziszo1qjFx9iKQSFApVUweo87d8b74bEDvTxg9\ndZ6mVCLA0P6f4bp8HZt3pPHFp13Q19d9w/P6zTts9N7N4sVu9O8/SOd+Ih+GAjtWffz4Ma6ursTH\nx7Njxw4cHBzYtGkTLVq0wM/PD2dnZ9q21f7FzK09J+LiklEqc4mvSIpBz/9yrnEYAIJUSnq1VgjG\nhZs5XCaTYm5upJP9/4SDB/czduxILhz/nqaN6hfImBKpBAMDOampCoRCEp/1HDCakIhoLl68UuC1\nWD/Usy8MPoTtVla575flaYbx5s0bpk2bpplRZNTNXLt2LTVq1ODgwYP4+vqyZcsWZs2axePHjxk/\nfjx+fn6ZptIJCQk5tueGuXnuMwGsTBAMWyE8vQaqHDJpSWVIqjZFUqpwMkZlhU7255PU1FRWrFhK\nrx6dadNKt9yfecHAoHD2yl+/ieL0+Ut8++232NiY594hnxTmsy9sitr2PH3yNjY2+Pj4ZHo9Pf1d\ncSBTU1OMjY0JCgoiMjKSUaNG8fz5c86fP0/16tVxcFAfNebWnhs6e1qpJZLyTZGFP0Xy+gVCbAyC\nUolEJkNiYYlgWwGlfVUEqSW8Tcx9vH/Ih/il2Lp1Ey9evODIbi9SktNz76AjhT3DuHr9HgANGjTl\nbSF8FuIMI2cKfIaRHY8ePWLVqlXIZDIMDAxwc3PDxsaG/fv3A+Dl5YWzszMODg5cunSJ1NRUOnbs\nmGW7riiVKp0j3oSkdITIBAiNRZKa9E6tmiABIQGJeToS/Q/7BcqL/XkhISGe1R6rGNinF9WqVC7Q\nvBUZO+SCSiiUfBgZSxCFonCeTQaF9ew/BEVte4kODQcQwl4g3Lqc+5KkYWsk9oV/fFfYIb6rVrmx\nYcMa7lw6SbmyBZtDorAT6Ny+95BWXXtTpUpVjh37lVKlShXo+GJoeM6ICXRionJ3FgAqJcLNSwgx\nUR/GsELi9evXbN68gbHDBxa4s/gQ1KymPl0LCHhKzZqORVLoWSRnSm6kJyAE3M/dWWSgUiIE3EfS\nOOeTmkePHrB+/Wrkcjm2tnbMm7cImUzGpEljEAQBqVRKjx496dy5m5b4rHXr9gwYoD6W7N+/P4Ig\nQalUMnv2PCpWrKR1j/xWPlu7dhVymZQZE0dpvX7nwWNGTHLh8i/7MTI04Mbte3ht24tcJmfCyIE0\ncK7Fn7fvM3/5OsqVdUAmlbLZYxEAka+jWL5uK0nJyTSqX4ep47TLIhz48RdO/HoeJBKG9vuMDm1a\nALDhWx8ePH6KShDYuNJVJy2JgYE+3uuWM3qqCxXKV0ClUuU5HF6kcCmxDkNIToSIV3nrFPEKITkR\niVH2mz+lS9vj6bkFfX19tm7dyOXLF2nb9mMAPDw8MTQ01Fz7d/FZ9+6fYGNjjY+PD/Hxqdy4cYP9\n+/cxe/ZcTZ/8Vj4LDn7G7t07mDtjAtZW2kfDB46coFb1Kpr/e23by8ZVC5FKpUxxWaKpXta5fSum\njh2m1Xfdll3MmT4W21LWmbQwAIeP+nJwx3pS09L4avIcOrRpwdmLV7AtZcWW1YtzetpZsv/IMZyc\nqnDx4h9iScRiSMl132/CQcjjlFZQqfvlgLV1KU3UplwuRyJRP0KpVMrMmZNxcZlBeLh6jOzEZxl/\nCImJiVSurF3LNb+Vz1auXEYpayvGj9SeAdy+94iqTpUwMnrnyJRKFSbGRhgZGqBQKomNU1d7O/vb\n74ycMpfvfzgOqKM8QyMiWbNpJ2NnuHLn/uNMz6NcGXuSU1JITEzWhIBfvHKdsIjXjJ42D+/duitM\nX4WEce63K8yYMTtTZKxI8aDkOgxFPo8TdewXHh7GjRtXadmyNQBLlqzEy8ubvn0Hsm7dKq1r/y4+\ne/PmDaNHj2DNmpUa55BBfiqf3b9/jyNHDuEybRzGRtrn9N8fOU6/z/6nlTldX1+PiNdviIqOIfDZ\nC+LiE6hVoyo/+mxiy5rFXLl+k8dPg4iJjcM/4BnTxg5j2dzprNqwLdNzaNmsEV8MnciAMdMZ1Kcn\nAFFvY7ApZYX32qUEPX/J/Uf+Oj3TG7fVx6o5hcyLFC0l12HI85d/QZd+SUmJLF26gLlzF2mOAjOK\nE9Wv31BLfJeV+MzGxgZv7x0sW7aKLVu8tMbOT+WzJUvmU8XJiT/+vEtM7DtH8uedB1T72+wCYNbE\nkSxcuYFVnt5UrVwJG2srjAwNkMtkyGUy2rRogn/gM8xMTShftgx2tqUoZW2JXC7TclyJSckcPnqS\no/u2cGT3RjZt3weoRWlNGtQFoEkDZwKDX+b6TAHu3H+Evb09pUvb63S9yIen5DoMG3uQ5PHtSaTq\nfjmgVCpZsGAOI0aM1lJRJiWpA42ePQvS/DFnJT5TKBSaqFZjY+NMf8x5rXzm53eJ8+fPMX/meL5d\nt0xLOPY08BnXbt5l4uzFPA16zoIV6qQ/NapWZrPHIlymjcWmlBVGRoYaQRqolzHlyzpgoK+PhYUZ\nCYlJJCenkJ6u0HJcUokEQ0MD9PT0MDDQR6FQbzDXr1ODx0+DAPAPeEY5h9K5P3sgPiEBK8vMRa1F\nig8lOg5DdeMihOcheYt9BaS5nJKcOvULGzasoXJl9SZir169+fjjjowcOUSz4Tl9+mwqV3ZixYol\n3L59Ezs79R/MrFlzMDY2ZOnSBQgCCIKE6dO/pmLFSlris4MHv+f8+TOaymfGxiYEBz/D3d1NU/ms\nceOmCIJAt64fgyqViycO5JhZe/T0+Xgun4ehgQG7vj/Cleu3MDI0YPbkUZSxL81PJ05z5PivyOVy\n6tWpwZQxQwH1CYun9x4UCiVjhvalY/vmHPzxlEZ8tnv/j5y79AeCINCre0c+79GZ5JRUFq5Yz9vY\nOCqWL8vc6eN0evyV6rbiTVQ0ERGxmd5LSkoKcrn8H22EinEYOaNLHEaJdhhCTBTClVO6Ha1KZUg+\n6oLEsmCDhf5OQX7wx48fZcSIQRzbv532rVsUkIXZU9iBWx0+HcCjp0EEBGQ+3bKzU8+cxJyeYuBW\noSGxLIWkYWuQ5qJ6zIj0LGRnUZAoFArc3BbxcZuPPoiz+BA0bVQPY2MTTcV7keJHiXYYABL78kg+\n6gL2FTLvaUikYF9BPbP4AGHhBcn+/fsICHjK4jnTi9qUAqNpo/qEh4fh6OhA1y7t2bdvj6YtMjJO\nM7sIDHyKnZ0569d5FJWp/1lKvMMA9UxD2rgtqqYdSDGxIVlqQoqJDaqmHZA2bvuvmlkAJCcn4+7u\nxhefdqP+e5m0/u181qMLp3/ai5f7YpTpSaxZszLH69MV+czbKpJv/hOhdOkR4STd+IPUoECE94K5\nJPcfYlDZCePGzdH7Fx3lbdu2ldevX+P69eSiNqXAadGkIS2aNOSxfyCnLlzJ8honp6r/aC9DJP+U\n+BlGSoA/bw9/T0rgUy1nASAIKlICn/L28PekBj4tIgvzRkzMWzw9VzNsYG+cHCvm3uFfSkhYOE+f\nPuXatatFbYrIe5ToGUZ6RDhxp04g5FI6QFAqiPU9jlXv/jrPNE6f9mX9+tUcP35a8//Dhw9gYGDA\njBnfULFiJU6ePM7u3Tuws7PD1taW+fOXAPD06VOWLl1GerqC9u070qvXF1pjb926kZs3byCRSJgw\nYQrOzvVIT09n3Tp3Ll26iLmZGS5TdTuqXLNpBw+fBGJtZcGi2ZMxMjIk+EUIS1dvQqVSMXZ4f5o2\nrEtqWhqzF7mTmJiEXC7Hbd50rCwttMRlwwd8zv+6tMl0j9DwSD4fMoHvvNdQuVJ5fj55lqO+Z1Eq\nlTSu78zEkXnPzZkRZm5pWbgpE0XyRomeYSTd+CNXZ5GBoFSQdOMPna5VqVRcuHBWE5GoUqn4/vu9\nbN68HVfXJVrRm3369MfTc4vGWQCsXr0aNzd31q/fnMlZxMXFcevWn2zdupPFi5ezc+e3ABw+fIAa\nNWpx+/Yt+n/Rg9J2trna+fBJADGx8Wxbv4xO7Vpy6KgvAF7bfFg4exIbVrqyZef3APhdvUkVx4p8\nu24ZPbq056dfzqjve9SX3ZtW4b12Cdv3HsryPnsO/ER955qa//+vczu2r3djl9dK7j54zOs30bna\n+nfat/4IgGvXdPtMRD4MJdZhKOPjSQ0KzFOf1KBAlPHxuV535swpPv64k0ZMFhsbg52dHVKpFBsb\nW168CNZce+TIISZOHM3Zs78C6qLICoUCV9c5zJgxWetaUEd/mptboFAoiIuLw9LSCoCrV6+wZ/cO\n7O3tcXKspNP7eRUaTrUqjoA6uvPm3QcAvI56S7ky9pgYG2FhbkZsXDzly6pFZADx8QmaiNH3xWUZ\ndU3eJzQ8AokE7N9zYBnV0hRKJeZmppib560uCcBnPToDMH36JD76qBF2duaULm1BZGRknscSKThK\nrMNIe/k8055FbgiCirSXz3O8RqVScf78GTp06KzRc1laWhEZGUFSUiJBQYGa+iRt2rRj796DrFq1\njv379xEdHUV0dBT+/v4sXuzGhAlT2LBhrdb4crkcJ6cq9O//BTNnTqZ/f7X69NWrV9y6fZMxQ/pw\nwe+qTr/alSuV58/b9wG4+ucdTQUyQUvIZkRsfAIVypUhKPglXw6fzA/HfqVrB/XS431x2ZC+vTLd\nY9f3PzKk72cICH97/QifDR6PtZUlBnlQnj4NDGbY+Jm07Npb81pAgHp/SRAEnJ2rsn27t87jiRQs\nJdZhCGlphdLv1KlfaN++k9ZrEomEsWMn8c03M9i/fy+1atVBJpNpVKfGxsY0aNCI4OBnmJqaUbt2\nbYyNjalc2YmYmLdaY714Eczjxw85dOhnvv12N56eqwGIiYnGwsyUUUP7U7d2DYJfhmj6xMUnMHra\nPEZPn68lPqviWJEGdWsxevp8QsMjsbFWz1Yk7wvZEpOwMDPlmO95GjjX4tBOT8YO78+3ew5kEpdt\n3L5Xy9ZXoeFIAIfS6tnF+0HDw/p/ztF9W3j9JlpnteqZC5dp+78+XLt5H0enGpol3/Rps5g2bSY9\ne36OIAhERuhea0akYCmxm56SfOZTyK1fcPAznj7159SpX3j16gXr169mypQZNG3anKZNm/Py5QsO\nHPgOUAvSjI1NUCqVPHx4n88/74ODQ2nevn2LUqkkMjISU1PtcFxBQPOaiYkJKSnJ3Lx5g9DQUMYM\n7Y+hoQFPA4P54pPOmj7mZqaaJDh/Z0jfXgzp24tjvudwclRXILMtZUVIWASWFubExSdgYW4GCFha\nqO9rYW5KYmKSlrhMIpVqxGUZ+AcGExj8komzFxMQ9JxXoeFs+StTl56eHhKJBCNDAwwNDXJ97tv2\n7GfGvGW0b98Bb++dmZ5LBt9+uyvXsUQKjxLrMPTLV0QikeZpWSKRSNEvn/NR5bhxkzT/HjVqCFOm\nzADA03M1gYEBmJtbMGuWCwAHDnzHH3+oYwnUwjJ7ZDIpI0eOZPz4UahUKqZMUcveM8RnFStWolQp\nG8aN+wqlUsmQISNYstgV21LWhEREMmKyC80b1aeMvW4K0NHT5iGTyahauSLT/qpyNv6rgbiuWI+g\nEhgzrB8AXTu04ZvFHpy5eAWVSsD164kYGRnSvlVzhk6YjSAI9P3sf8C7ymcft27Ox62bA7Bw5QaG\n9OuFnp4eW3fv58/b91GqVDSu70yVHI5/BUHA1W0NazdtZ9SosSxa5CZm2irGlGjxWeyJn0jJQ3yF\noVNVLP6XeZ1ekORVRHTu3Gn69fuCgzs30r1z+0K1LTcKQ3y2absPX7suZ/FiN8aOnVggY2aHKD7L\nmf+8+My4cXMkOlZjl8jkGDduXsgW5Q11fdQFNG/SkG6d2hW1OQVOUPAL5i1dzehR4wrdWYgUDCXa\nYeiVtseia49cnYZEJseia49iFx7+44+HefDgPkvmTs8x18W/lTlL3LG1tWXO3AVFbYqIjpT4xaKB\nU1Wsevcn6cYfJDx6SEJ0FEqlEplMhql1KUxr1iqWWpK0tDRWrlhKt07tadGkYe4d/mWc/+0Kx33P\n4u29E2Nj46I2R0RHSrzDAEgTBCLTlUSnKVCkK0GpBBXEpCmwTldSRhDIZwbQQsPHZyfPXzznwI71\nRW3KPyYqOgYjIwNNgmJBEHBZ4k6zZi3o2fPzIrZOJC+UeIcR7f+EoOM/o1IokMjl6NnaabW/9X9C\nbFAgTp/0wqpqtSKyUpuEhATWrF5F/y97UrtG1aI2J88IgsD9h084eeYCJ89e5MbNuzjY23F41ybq\n1qnJqbO/cf/hE44e9S2RS62STIl2GInhYRpnkRMqhYLAYz9Rc8BgTOxzLjGoUqlYtmwBb968wcGh\nDF9/PRepVMrdu7fZvNkTqVTGjBnfULmyE2/fRrNgwRwEQcDExITFi1cglxuydu1aLl/2A96Jy95n\nyxYvUlJT+PPOI5JTUjEyNGDb3kP8cf02aWlpdO/cTl06QAda/68/Nf8qYjR70iicHCuwbM1mAoKe\nIyAwbvgAmjWql634LKvKZ1t37efy1ZtIJNCnZ3e6d2pLcnIKv125yskzF/E9+xsCEuRyORUqVMLD\nYz07dnjTc9BYnCpXAqBWrdo0a1YyMoX9lyjRx6pPf/qBt/5PdB7Tqlp1qv5NDPZ3Llw4S2BgAF99\nNYbvvtuDg0MZ2rfvyMSJo1m5cg0JCQl4eCzH3X09Bw7sw8jImE8//Yxdu7ZRrlx5PvqoJbNnT2Pz\n5u2EhoaxYsUS1qx5J1Z78+YNTZo406hBXUpZW+O9dqmm4JBcpk7z32fEFA7t9ATQlGfMjsHjZuGz\n2V3rtdDwCMrYlyY+IYEJsxaxZ7M75y79wcMnAUwcOYgTpy8Q+TqK4QO+YM6S1UwbP1xT+czQSI/A\noFc4lLbj5atQRkyeg6W5CRcu/U5ySgoVK1SkslMVunTpRv/+g5k2bQIbNmwlIOAp8+d/w6VLF7Gy\nsqJhw8Z8991hnT+bgkA8Vs2Z//Sxalp8HDEBectxERPwlLT4nBOzhIS8okoV9dKlWrUa3Llzi9TU\nVGQyOSYmppQubU/8XwK2ihUdif9rvPj4eCwsLDE2NsbS0jKTuCyDQ4f2o1QqqVe7Bvp6cnwOHOH4\nqbO8fBWKIAikpqZRvqwDKpWKJh/3xLx8HRauWMfxU2e56HeVVyFhRES+5pF/AEqlkuAXIXwxdCLz\n3daRnq4u0pQR9CWX62nCxLMSn8XExfE06DnDxn9N9z5fcevuQ16FhOG963tadf2Sms06EhIWztv4\nFGbOmsPly9e5dv0u1tbWjBgxGiMjI2rUqEVQUCBPnjxk+PCRVK9WncTERMLDw/L02YgUD0rskiQ2\nOFhLZKULgkpFbHAwts51s72mUqXKXLv2O23btufGjWvEx8cRHx+Picm7eqwymQyFQkGtWrXZutWL\nU6d+wdzcgokTpyKXy6hevTp9+nxGWloa7u7am5rNmjWnVKlSeHnvomzZshw8clSj0ShbtgxmZmZ8\n2uVjrt28w2P/AAA8NmQtxjI3MyUhMQmVSsWtu/e5++ARqakp1KjqRK//deb67ft0ad+Kk6cvUL1K\nZQKfveDL4eosXjMmDKd2s07Y2pUmKiqKuLg4prgspXljZ7y892BlZcWoUWOpUKEiY8ZM0LqvUvku\nhFxdpS2W+Ph4HB0r88vJs5w4cZQ//7yeh09GpLhQYh2GMi21UPq1bNma27dvMmXKeBwdK2NtbYOZ\nmammWhmo/2DkcjnffedDnz4D6NatB99/v5eff/6BJk2acvfuXY4cOUZYWDiLF89nw4atmr5SqZSJ\nE6fSpEkzli1byNixE/n008948OAe9+/fw2fPTvb/eIKrN9TFjkqVKkWnjl14E/UapVLJwIFDSUtL\nw8DAkHNnf8XeoQw9e37Orl3buHTpAmlp6Vz+/ToHf/oFAwMDXr9+DYCFhQUymQzbUlbI5Xr0+2oK\nZcuWx8bWlgsX/uC77/awYcNafjyulumPHDmW2Ni3mZwFoBXara7eZvFXRbdETE3NqF+/EWFhofn6\nfESKlhLrMGT6uQue8ttvwoQpAOzY4U2jRk0xMDBEqVSSkJCgVd5QEARNxihLS0uio6MQBEHTniEu\ne5+AAH/u3r3Nw4cPiI+P58WL59jbO1CqlA0dOnSmX79BjBo1BLmBKa1atmbw4GF89vmXWdrZqVMX\n9PX1kUqltGjRkho1ajJs2Eh+/fUkCxbM5eXLFzg6VmbatFkEBQVw/fpVrK1LER8fT9XqtVmzxpM5\nc2aRnp5G374D+eWXYzg6VqJMmfI8efJYa+/lfWrWrMXNmzeoW7c+T548Zvz4KUilUg4e/I4uXbpz\n7drvmTZ6Rf4dlNhNz7T4OO5s3ZSnZYlEKqXemPHom5lne010dBQLF6pPRho1asrgwcMAuHPnNlu2\neCKRSJkx4xucnKoQERHO0qULkEgkyGQyFi5cRqlS1mzcuJY7d+6hUCgYMmQErVq10ap8lsHkyWNx\nd1+HgYEhHh7Lef48GIVCQZcu3ejVq3c2Fr7j6VN/li9fjLGxMWZm5syfvwhjYxP69u2FmZk5RkZG\nGBoa4u6+nsTEBFxd55CWloogCHzzzXzKlSvP/ft32bx5AwqFgq++Gs3//teZgQMHEx0dhYWFJRKJ\nhBUrVpOSksJPP/3AiBGjiYp6w9KlC0hJSaFXry/o0qU7AJs2refBg/vY29vj4rLgg4vMxE3PnPnP\nVz4rjFOSf4r4pS06/s32FxeHUWJPSQDKNP8IqY6/YlK5nDLNPypki0RE/t2UaIdhYu+A0ye9cnUa\nUrkcp0965Rq0JSLyX6dEOwwAq6rVqDlgMFbVqmulpgP1noVVterq9mISFi4iUpwpsack72Ni70DV\nXl+QFh9HbHAwyrRUZPoGWFSqlOMGp4iIiDYF4jCioqKYMGECenp6yGQyPDw8sLGxASApKYkOHTqw\nYsUK2rZtq9UvPj6ehQsXEhUVRcWKFVm0aFFBmJMt+mbmOQZliYiI5EyBOAxra2v2798PwI8//sjh\nw4cZO3YsAD4+PtSpUyfLfp6enowaNYoaNWoUhBkiIiKFTIHsYbwvUU5MTKRKFbU6MiEhAX9/f+rV\nyzpI59GjR+zbt48hQ4Zw5syZgjBFRESkECmwPYzHjx/j6upKfHw8O3bsAGDPnj0MGjQIPz+/LPvc\nuXMHFxcXHB0dGTRoEG3atEFfx/IAMtm/c782w+5/o/3/Ztvh321/cbE9Tw7jzZs3TJs2TTOjEAQB\niUTC2rVrqVGjBgcPHsTX15ctW7Ywa9YsHj9+zPjx4/Hz8yOr+LAyZcpQu3ZtABwdHYmIiKB8+fI6\n2WJubpQX04sd/2b7/822w7/b/qK2PU8Ow8bGBh8fn0yvZ8imAUxNTTE2NiYoKIjIyEhGjRrF8+fP\nOX/+PNWrV8fB4V2sQ/Xq1Xn58iVlypTh5cuX2NnZZRpbRESk+FAgoeF3795l1apVyGQyDAwMcHNz\n05ySAHh5eeHs7Ezbtm25dOkSqampdOzYkWfPnrFgwQLS0tLo3bs3vXvnro8QEREpOv61WhIREZEP\nz79v90dERKTIEB2GiIiIzogOQ0RERGdEhyEiIqIzosMQERHRGdFhiIiI6EyxdxgeHh4MHDiQ2bNn\na6Wvz62tuJCdjXfv3qVfv34MHjyYGTNmFEv7c3u+x48fp0WL4lm9LCfbr127xrBhwxg6dGix1TBl\nZ78gCLi4uDBw4EAGDhzIs2fPPqhdxdphPH78mMjISPbt24ejoyOnTp3Sqa24kJONZcqUYc+ePfj4\n+FC2bFnOnj1bhJZmJrfnq1KpOHXqlFbkbnEhJ9tTU1PZsWMH27ZtY/fu3XTs2LEILc2anOx/9OgR\naWlp7Nu3j2nTprFz584Paluxdhi3bt2iZcuWALRu3ZqbN2/q1FZcyMlGGxsbjdBOT08vx3KHRUFu\nz/f48eN069at2NkNuX9vDA0NGTNmDJMmTSIqKqqozMyWnOy3t7fX/Ds2NhYrK6tM/QuT4vdpv0dc\nXBympqYAmJmZERMTo1NbcUEXG0NCQvDz86N9+/Yf2rwcycl2lUqFr68v3bt3z1JUWNTkZHtUVBQv\nXrxg69at9O7dG09Pz6IyM1tyst/KygqZTEbXrl1ZtmwZAwYM+KC2FWuHYWZmRkKCuqJYfHy8pihQ\nbm3FhdxsTEhIYPbs2axcuRKZTFYUJmZLTrYfPXqUbt26FZVpuZLb96Zhw4bI5XJatGhBYGBgUZmZ\nLTnZf/nyZeRyOb6+vmzYsIEVK1Z8UNuKtcNo2LAhv//+O6B+UA0bNtSprbiQk41KpZLp06czceJE\nKlasWFQmZktOtgcEBPDTTz8xcuRInj9/zrJly4rKzCzJyXZnZ2eCgoIA9X6ArukUPiQ52f9+NT0L\nCwuNY/lQFGuHUaNGDaytrRk4cCABAQF07twZNzc30tLSsmwrbuRk//Hjx7l79y6bNm1iyJAhnDx5\nsqjN1SIn22fOnMn27dvZtm0blSpVYu7cuUVtrhY52W5lZUXHjh0ZNGgQHh4ejB8/vqjNzURO9rds\n2ZKwsDAGDx7MzJkzmTAhc23bwkRUq4qIiOhMsZ5hiIiIFC9EhyEiIqIzosMQERHRGdFhiIiI6Izo\nMERERHRGdBgiIiI6IzoMEZEiJDg4mF69elGvXj2Sk5MztV+7do127doxHG/+SAAAArJJREFUZMgQ\nhg8frnnd19eXfv36MXz4cCIiIrT6jBw5klWrVmV7z8TERIYOHcrgwYMZNmwYYWFhOtsrOgwRkQ+M\ni4uL5t8ODg7s3bs323KiAN27d2fPnj0aZapSqWTXrl3s27ePSZMmsXHjRs21N2/e1CpdmhV6enp4\neHjg4+PDqFGj2LZtm862iw5DRKQIMTAwwNTUNEcR36lTpxg0aBB79uwB1LMSJycnZDIZDRs2xN/f\nX3Otj48PgwYN0uq/dOlShg4dyogRI4iIiEBfXx9bW1sA5HJ5nhTHosMQESnGODs7c+rUKXbt2sXl\ny5d5+PChlpoV1OphgBs3blCzZk2MjN6VU7xw4QIWFhbs3r2bqVOn4u3trWlLS0vDy8uLwYMH62xP\ngRVjFhERyZ6wsDC+/vprAJ49e8aQIUMA2LFjB3K5PNtlxPt//O3atePx48fUq1eP+Ph4zesZM4Q9\ne/awfPlyHjx4oGkLCAjg119/5fr16wiCoJXwaMGCBQwcOJAKFSro/D5EhyEi8gFwcHDQ1CV2cXFh\n+fLlWu2CIGS5LElISNDMJv7880/69+9PxYoVCQoKIj09nXv37lG9enUAnj9/ztSpU4mJieHt27c0\nbdoUJycnunfvzrhx4wA06f68vLwoX748Xbt2zdP7EB2GiEgREhcXx5QpU/D392fcuHGMHDmS1q1b\ns2DBAhYtWsTJkyc5ePAgcrmchg0b0rhxYwDNKYehoSErV64E4Oeffwbg+vXrnD9/nnbt2gHw+++/\nM2TIEKRSKZ988gktW7Zk8+bNNGrUiD/++IMGDRowbdo0newV1aoiIiI6I256ioiI6IzoMERERHRG\ndBgiIiI6IzoMERERnREdhoiIiM6IDkNERERnRIchIiKiM6LDEBER0RnRYYiIiOiM6DBERER05v9V\ntWOi3Sel7wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f143765b6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_map.query(\"LGA not in ['NEWCASTLE', 'BOGAN']\").plot(column='Totaltrips', scheme='QUANTILES', k=7, cmap='OrRd', legend=True, label='LGA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:29:47.684611",
     "start_time": "2017-02-12T23:29:44.401046"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f14377e87b8>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WgcR5ieDp+XGE4LPPFEtLK3r37se8eYvwf/CApKSkfO3foHotRGnyW4jFYr7p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\n0aZnbQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f14375dd898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_map.query(\"LGA not in ['NEWCASTLE', 'BOGAN']\").plot(column='Totaltrips', scheme='Equal_Interval', k=5, cmap='OrRd', legend=True, label='LGA')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "## Suburb "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:38:27.710524",
     "start_time": "2017-02-12T23:38:27.657538"
    },
    "collapsed": true,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_pickle('ODPairData/df_clean.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:34:10.000718",
     "start_time": "2017-02-12T23:33:44.416983"
    },
    "collapsed": true,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "gdf_Suburb = gp.read_file('geodata/NSW_Suburb.shp')[['nsw_loca_2', 'geometry']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:34:44.534352",
     "start_time": "2017-02-12T23:34:44.530183"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "gdf_Suburb = gdf_Suburb.rename(columns={'nsw_loca_2':'Suburb'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:40:04.971476",
     "start_time": "2017-02-12T23:40:04.963235"
    },
    "collapsed": true,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "df_totals=df.groupby(['Suburb']).Totaltrips.agg(sum).to_frame().reset_index()\n",
    "df_totals.Suburb = df_totals.Suburb.apply(str.upper)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:40:05.460555",
     "start_time": "2017-02-12T23:40:05.452325"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "df_map = gp.GeoDataFrame(df_totals.merge(gdf_Suburb, on='Suburb'), crs=gdf_Suburb.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:44:08.474467",
     "start_time": "2017-02-12T23:44:03.926419"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1436adbc50>"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rvlpnZGQkhw8fxGnLJs6eO0MOo2x0bt2U4X07UiDfv/ds8L3TBHwIIrdxDsqVLIYqDgZP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\nWXvjBnUqVuTshHGlvkaxRIJ3UBAXXvhx4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vH7Ro+j20ZZiSunQX3kRl0Oqqqq7Nooq/06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\noYmNrS02NvJ/yclJnDv3+rk3bdoMOnTohI2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7W1PmD5BXllh8rPzqu0AgQFVZmQYWZiwd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ekvVq9eA0MDQx68lBUsfExKRllZma5d7QCoW9eGy1duc/jwMYITU2i16HemHTzKmiH90FRT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\nAyGFnRBCCCGEgfh/8S5e1bKoHVwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1436bcdc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_map[df_map.within(box(150, -34.5, 152, -33))].plot(column='Totaltrips', scheme='QUANTILES', k=7, cmap='OrRd', legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:44:52.539020",
     "start_time": "2017-02-12T23:44:47.894148"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1435c90208>"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YDEDFiqWoXduGvXt3qavJQgjxU1MoFEydOgMAk3wmya7H++kzzM0t1dpFJz2T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hfp3HJ+Tf5f6NgJBWJKKIhQEAK5jDkB2SLIzBYiEv+6wrBy/tuoqKjQt+8ADh05iv2C+d9d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\nH3pJirTFXFDZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1435c8a710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_map[df_map.within(box(150, -34.5, 152, -33))].plot(column='Totaltrips', scheme='Equal_Interval', k=7, cmap='OrRd', legend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## PySAL\n",
    "See [Notebook](http://nbviewer.jupyter.org/github/pysal/pysal/blob/master/pysal/contrib/viz/mapping_guide.ipynb?create=1)\n",
    "\n",
    "See [LISA](http://nbviewer.jupyter.org/urls/gist.githubusercontent.com/darribas/657e0568df7a63362762/raw/pysal_lisa_maps.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:15:39.334440",
     "start_time": "2017-02-12T23:15:39.330630"
    },
    "collapsed": true,
    "hidden": true
   },
   "outputs": [],
   "source": [
    "from pysal.contrib.viz import mapping as maps\n",
    "import pysal as ps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:16:00.408417",
     "start_time": "2017-02-12T23:16:00.390007"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'geodata/NSW_LGA.shp not found in PySAL built-in examples.'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-144-76a2458eee71>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mshp_link\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mps\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexamples\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'geodata/NSW_LGA.shp'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/examples/__init__.py\u001b[0m in \u001b[0;36mget_path\u001b[0;34m(example_name)\u001b[0m\n\u001b[1;32m     33\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'examples'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexample_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     34\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 35\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexample_name\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' not found in PySAL built-in examples.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     36\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: 'geodata/NSW_LGA.shp not found in PySAL built-in examples.'"
     ]
    }
   ],
   "source": [
    "shp_link = ps.examples.get_path('geodata/NSW_LGA.shp')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:17:09.840527",
     "start_time": "2017-02-12T23:17:09.809908"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'geodata/NSW_LGA.shx'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-147-cf187ef71378>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmaps\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_choropleth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'geodata/NSW_LGA.shp'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf_totals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'classless'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'LGA'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/contrib/viz/mapping.py\u001b[0m in \u001b[0;36mplot_choropleth\u001b[0;34m(shp_link, values, type, k, cmap, shp_type, sample_fisher, title, savein, figsize, dpi, alpha)\u001b[0m\n\u001b[1;32m    596\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    597\u001b[0m     '''\n\u001b[0;32m--> 598\u001b[0;31m     \u001b[0mshp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mps\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshp_link\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    599\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mshp_type\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'poly'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    600\u001b[0m         \u001b[0mmap_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmap_poly_shp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/core/IOHandlers/pyShpIO.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataObj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'r'\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__open\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'w'\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'wb'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__create\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/core/IOHandlers/pyShpIO.py\u001b[0m in \u001b[0;36m__open\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     77\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     78\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__open\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 79\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataObj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshp_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataPath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     80\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataObj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataObj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbbox\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/core/util/shapefile.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, fileName, mode, shape_type)\u001b[0m\n\u001b[1;32m    216\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 218\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_open_shp_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    219\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'w'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mshape_type\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSHAPE_TYPES\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/core/util/shapefile.py\u001b[0m in \u001b[0;36m_open_shp_file\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    246\u001b[0m         \u001b[0mfileName\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfileName\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfileObj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfileName\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'.shp'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_shx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshx_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfileName\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_unpackDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mUHEADERSTRUCT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfileObj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTYPE_DISPATCH\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Shape Type'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/core/util/shapefile.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, fileName, mode)\u001b[0m\n\u001b[1;32m    437\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    438\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 439\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_open_shx_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    440\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'w'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    441\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_create_shx_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.5/site-packages/pysal/core/util/shapefile.py\u001b[0m in \u001b[0;36m_open_shx_file\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    459\u001b[0m         \"\"\"\n\u001b[1;32m    460\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isreadable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 461\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfileObj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfileName\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'.shx'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    462\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_header\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_unpackDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mUHEADERSTRUCT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfileObj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    463\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumRecords\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumRecords\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_header\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'File Length'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m50\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m//\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'geodata/NSW_LGA.shx'"
     ]
    }
   ],
   "source": [
    "maps.plot_choropleth('geodata/NSW_LGA.shp', df_totals, 'classless', title='LGA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:14:50.038575",
     "start_time": "2017-02-12T23:14:49.436369"
    },
    "collapsed": false,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LGA</th>\n",
       "      <th>geometry</th>\n",
       "      <th>centroid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MAITLAND</td>\n",
       "      <td>(POLYGON ((151.48999291 -32.6104182, 151.48994...</td>\n",
       "      <td>POINT (151.550214211151 -32.71097836941808)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>BROKEN HILL</td>\n",
       "      <td>(POLYGON ((141.56347702 -31.8849776, 141.55776...</td>\n",
       "      <td>POINT (141.4785113135922 -31.94436096403665)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>BEGA VALLEY</td>\n",
       "      <td>(POLYGON ((149.63534931 -36.12844024, 149.6356...</td>\n",
       "      <td>POINT (149.7175898641389 -36.82593625015375)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MURRAY RIVER</td>\n",
       "      <td>(POLYGON ((143.90218147 -34.33132222, 143.9025...</td>\n",
       "      <td>POINT (144.211315826591 -35.32437778622286)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>HAY</td>\n",
       "      <td>(POLYGON ((144.8019946 -33.51228339, 144.81921...</td>\n",
       "      <td>POINT (144.6836742143779 -34.31586966668706)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             LGA                                           geometry  \\\n",
       "18      MAITLAND  (POLYGON ((151.48999291 -32.6104182, 151.48994...   \n",
       "19   BROKEN HILL  (POLYGON ((141.56347702 -31.8849776, 141.55776...   \n",
       "20   BEGA VALLEY  (POLYGON ((149.63534931 -36.12844024, 149.6356...   \n",
       "21  MURRAY RIVER  (POLYGON ((143.90218147 -34.33132222, 143.9025...   \n",
       "22           HAY  (POLYGON ((144.8019946 -33.51228339, 144.81921...   \n",
       "\n",
       "                                        centroid  \n",
       "18   POINT (151.550214211151 -32.71097836941808)  \n",
       "19  POINT (141.4785113135922 -31.94436096403665)  \n",
       "20  POINT (149.7175898641389 -36.82593625015375)  \n",
       "21   POINT (144.211315826591 -35.32437778622286)  \n",
       "22  POINT (144.6836742143779 -34.31586966668706)  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_LGA.head()"
   ]
  },
  {
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     "start_time": "2017-02-12T23:16:26.653259"
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   "outputs": [],
   "source": [
    "maps.plot_choropleth?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-02-12T23:16:59.308718",
     "start_time": "2017-02-12T23:16:59.294794"
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LGA</th>\n",
       "      <th>Totaltrips</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASHFIELD</td>\n",
       "      <td>7085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AUBURN</td>\n",
       "      <td>8561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BANKSTOWN</td>\n",
       "      <td>1897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BLACKTOWN</td>\n",
       "      <td>4454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BOGAN</td>\n",
       "      <td>362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>BOTANY BAY</td>\n",
       "      <td>1487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>BURWOOD</td>\n",
       "      <td>5158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CAMPBELLTOWN</td>\n",
       "      <td>2515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CANADA BAY</td>\n",
       "      <td>6089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CANTERBURY</td>\n",
       "      <td>11022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CITY OF KOGARAH</td>\n",
       "      <td>9233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>FAIRFIELD</td>\n",
       "      <td>2078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HAWKESBURY</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>HOLROYD</td>\n",
       "      <td>2295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>HORNSBY</td>\n",
       "      <td>1666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>HUNTERS HILL</td>\n",
       "      <td>766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>HURSTVILLE</td>\n",
       "      <td>960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>KU-RING-GAI</td>\n",
       "      <td>3370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LANE COVE</td>\n",
       "      <td>195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>LEICHHARDT</td>\n",
       "      <td>4531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>LIVERPOOL</td>\n",
       "      <td>2529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MANLY</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MARRICKVILLE</td>\n",
       "      <td>12367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>MOSMAN</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NEWCASTLE</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NORTH SYDNEY</td>\n",
       "      <td>2415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>PARRAMATTA</td>\n",
       "      <td>13109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>PENRITH</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>PITTWATER</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>RANDWICK</td>\n",
       "      <td>12082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ROCKDALE</td>\n",
       "      <td>12810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>RYDE</td>\n",
       "      <td>8863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>STRATHFIELD</td>\n",
       "      <td>9126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>SUTHERLAND SHIRE</td>\n",
       "      <td>1599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>SYDNEY</td>\n",
       "      <td>52862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>THE HILLS SHIRE</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>WARRINGAH</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>WAVERLEY</td>\n",
       "      <td>18548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>WILLOUGHBY</td>\n",
       "      <td>6434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>WOLLONGONG</td>\n",
       "      <td>1108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>WOOLLAHRA</td>\n",
       "      <td>3108</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 LGA  Totaltrips\n",
       "0           ASHFIELD        7085\n",
       "1             AUBURN        8561\n",
       "2          BANKSTOWN        1897\n",
       "3          BLACKTOWN        4454\n",
       "4              BOGAN         362\n",
       "5         BOTANY BAY        1487\n",
       "6            BURWOOD        5158\n",
       "7       CAMPBELLTOWN        2515\n",
       "8         CANADA BAY        6089\n",
       "9         CANTERBURY       11022\n",
       "10   CITY OF KOGARAH        9233\n",
       "11         FAIRFIELD        2078\n",
       "12        HAWKESBURY         212\n",
       "13           HOLROYD        2295\n",
       "14           HORNSBY        1666\n",
       "15      HUNTERS HILL         766\n",
       "16        HURSTVILLE         960\n",
       "17       KU-RING-GAI        3370\n",
       "18         LANE COVE         195\n",
       "19        LEICHHARDT        4531\n",
       "20         LIVERPOOL        2529\n",
       "21             MANLY          92\n",
       "22      MARRICKVILLE       12367\n",
       "23            MOSMAN          69\n",
       "24         NEWCASTLE           8\n",
       "25      NORTH SYDNEY        2415\n",
       "26        PARRAMATTA       13109\n",
       "27           PENRITH         589\n",
       "28         PITTWATER           5\n",
       "29          RANDWICK       12082\n",
       "30          ROCKDALE       12810\n",
       "31              RYDE        8863\n",
       "32       STRATHFIELD        9126\n",
       "33  SUTHERLAND SHIRE        1599\n",
       "34            SYDNEY       52862\n",
       "35   THE HILLS SHIRE         416\n",
       "36         WARRINGAH          59\n",
       "37          WAVERLEY       18548\n",
       "38        WILLOUGHBY        6434\n",
       "39        WOLLONGONG        1108\n",
       "40         WOOLLAHRA        3108"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_totals"
   ]
  },
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