Uber_Movement_FeatureExtra_v0.1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.9'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import random\n",
    "import geopandas as gpd\n",
    "import osmnx as ox\n",
    "import networkx as nx\n",
    "from shapely.geometry import Polygon\n",
    "from shapely.geometry import Point\n",
    "from shapely.ops import cascaded_union\n",
    "import fiona\n",
    "fiona.supported_drivers\n",
    "%matplotlib inline\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 12) # (w, h)\n",
    "ox.config(log_console=True, use_cache=True)\n",
    "ox.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_172018.csv (528, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_162018.csv (519, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_192018.csv (508, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_182018.csv (503, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_132018.csv (522, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2112018.csv (537, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2102018.csv (539, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_122018.csv (503, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1222018.csv (503, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1252018.csv (523, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1302018.csv (529, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1292018.csv (509, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1232018.csv (516, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1242018.csv (514, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1262018.csv (532, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1282018.csv (536, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1212018 .csv (528, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1202018.csv (536, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1152018.csv (506, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1122018.csv (530, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1272018.csv (538, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1192018.csv (523, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1132018.csv (537, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1162018.csv (505, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1142018.csv (536, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1172018.csv (515, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1182018.csv (527, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_112018.csv (546, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1112018.csv (523, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1102018.csv (522, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3292018.csv (521, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3272018.csv (518, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_372018.csv (527, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_362018.csv (525, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_392018.csv (539, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_382018.csv (537, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_352018.csv (523, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_332018.csv (532, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_342018.csv (541, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3232018.csv (526, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3222018.csv (516, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3212018.csv (494, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3132018.csv (523, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3162018.csv (537, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3122018.csv (518, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_312018.csv (527, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3282018.csv (528, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3312018.csv (537, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_242018.csv (537, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_232018.csv (540, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_262018.csv (525, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_292018.csv (538, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2232018.csv (532, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2202018.csv (518, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2172018.csv (540, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2182018.csv (535, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2222018.csv (527, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2142018.csv (528, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2132018.csv (529, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3252018.csv (541, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3242018.csv (539, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3262018.csv (507, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3102018.csv (544, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_272018.csv (524, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3302018.csv (533, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_322018.csv (527, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3172018.csv (541, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3152018.csv (533, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3142018.csv (525, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3202018.csv (525, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3182018.csv (542, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3192018.csv (523, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_3112018.csv (540, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_1312018.csv (525, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_152018.csv (514, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2282018.csv (529, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_252018.csv (516, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2272018.csv (531, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_282018.csv (530, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2262018.csv (516, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2252018.csv (542, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2242018.csv (532, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2162018.csv (538, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2192018.csv (514, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2212018.csv (525, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2152018.csv (530, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_222018.csv (532, 8)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_2122018.csv (528, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_212018.csv (529, 8)\n",
      "G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1\\Travel_Times_142018.csv (498, 8)\n",
      "(47384, 8)\n"
     ]
    }
   ],
   "source": [
    "# Merge daily file into one January file \n",
    "import glob\n",
    "path = r'G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1'                     \n",
    "all_files = glob.glob(path + \"/*.csv\")\n",
    "lst = []\n",
    "for filename in all_files:\n",
    "    df = pd.read_csv(filename, index_col=None, header=0)\n",
    "    lst.append(df)\n",
    "    print(filename,df.shape)\n",
    "\n",
    "df_Q1 = pd.concat(lst, axis=0, ignore_index=True)\n",
    "print(df_Q1.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Origin Movement ID', 'Origin Display Name', 'Destination Movement ID',\n",
      "       'Destination Display Name', 'Date Range', 'Mean Travel Time (Seconds)',\n",
      "       'Range - Lower Bound Travel Time (Seconds)',\n",
      "       'Range - Upper Bound Travel Time (Seconds)', 'Date'],\n",
      "      dtype='object')\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 47384 entries, 0 to 47383\n",
      "Data columns (total 9 columns):\n",
      "Origin Movement ID                           47384 non-null int64\n",
      "Origin Display Name                          47384 non-null object\n",
      "Destination Movement ID                      47384 non-null int64\n",
      "Destination Display Name                     47384 non-null object\n",
      "Date Range                                   47384 non-null object\n",
      "Mean Travel Time (Seconds)                   47384 non-null int64\n",
      "Range - Lower Bound Travel Time (Seconds)    47384 non-null int64\n",
      "Range - Upper Bound Travel Time (Seconds)    47384 non-null int64\n",
      "Date                                         47384 non-null object\n",
      "dtypes: int64(5), object(4)\n",
      "memory usage: 3.3+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "df_Q1['Date']=df_Q1['Date Range'].apply(lambda x: x[:9].strip())\n",
    "print(df_Q1.columns)\n",
    "print(df_Q1.info())\n",
    "df_Q1.to_csv('G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    2018-01-07\n",
      "1    2018-01-07\n",
      "2    2018-01-07\n",
      "3    2018-01-07\n",
      "4    2018-01-07\n",
      "Name: Date, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Convert the datetime format \n",
    "from datetime import datetime \n",
    "df_Q1['Date']=df_Q1['Date'].apply(lambda x: datetime.strptime(x,'%m/%d/%Y').strftime('%Y-%m-%d'))\n",
    "print(df_Q1['Date'].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 90 entries, 0 to 89\n",
      "Data columns (total 44 columns):\n",
      "STATION            90 non-null object\n",
      "NAME               90 non-null object\n",
      "LATITUDE           90 non-null float64\n",
      "LONGITUDE          90 non-null float64\n",
      "ELEVATION          90 non-null float64\n",
      "DATE               90 non-null object\n",
      "AWND               90 non-null float64\n",
      "AWND_ATTRIBUTES    90 non-null object\n",
      "PRCP               90 non-null float64\n",
      "PRCP_ATTRIBUTES    90 non-null object\n",
      "SNOW               90 non-null float64\n",
      "SNOW_ATTRIBUTES    90 non-null object\n",
      "SNWD               90 non-null float64\n",
      "SNWD_ATTRIBUTES    90 non-null object\n",
      "TAVG               90 non-null int64\n",
      "TAVG_ATTRIBUTES    90 non-null object\n",
      "TMAX               90 non-null int64\n",
      "TMAX_ATTRIBUTES    90 non-null object\n",
      "TMIN               90 non-null int64\n",
      "TMIN_ATTRIBUTES    90 non-null object\n",
      "WDF2               90 non-null int64\n",
      "WDF2_ATTRIBUTES    90 non-null object\n",
      "WDF5               89 non-null float64\n",
      "WDF5_ATTRIBUTES    89 non-null object\n",
      "WSF2               90 non-null float64\n",
      "WSF2_ATTRIBUTES    90 non-null object\n",
      "WSF5               89 non-null float64\n",
      "WSF5_ATTRIBUTES    89 non-null object\n",
      "WT01               30 non-null float64\n",
      "WT01_ATTRIBUTES    30 non-null object\n",
      "WT02               5 non-null float64\n",
      "WT02_ATTRIBUTES    5 non-null object\n",
      "WT03               1 non-null float64\n",
      "WT03_ATTRIBUTES    1 non-null object\n",
      "WT04               2 non-null float64\n",
      "WT04_ATTRIBUTES    2 non-null object\n",
      "WT05               0 non-null float64\n",
      "WT05_ATTRIBUTES    0 non-null float64\n",
      "WT06               1 non-null float64\n",
      "WT06_ATTRIBUTES    1 non-null object\n",
      "WT08               2 non-null float64\n",
      "WT08_ATTRIBUTES    2 non-null object\n",
      "WT09               1 non-null float64\n",
      "WT09_ATTRIBUTES    1 non-null object\n",
      "dtypes: float64(19), int64(4), object(21)\n",
      "memory usage: 31.1+ KB\n",
      "None\n",
      "       STATION                                       NAME  LATITUDE  \\\n",
      "0  USW00013743  WASHINGTON REAGAN NATIONAL AIRPORT, VA US   38.8472   \n",
      "1  USW00013743  WASHINGTON REAGAN NATIONAL AIRPORT, VA US   38.8472   \n",
      "2  USW00013743  WASHINGTON REAGAN NATIONAL AIRPORT, VA US   38.8472   \n",
      "3  USW00013743  WASHINGTON REAGAN NATIONAL AIRPORT, VA US   38.8472   \n",
      "4  USW00013743  WASHINGTON REAGAN NATIONAL AIRPORT, VA US   38.8472   \n",
      "\n",
      "   LONGITUDE  ELEVATION        DATE   AWND AWND_ATTRIBUTES  PRCP  \\\n",
      "0  -77.03454        3.0  2018-01-01  11.63             ,,W   0.0   \n",
      "1  -77.03454        3.0  2018-01-02   7.83             ,,W   0.0   \n",
      "2  -77.03454        3.0  2018-01-03   3.80             ,,W   0.0   \n",
      "3  -77.03454        3.0  2018-01-04  19.91             ,,W   0.1   \n",
      "4  -77.03454        3.0  2018-01-05  15.66             ,,W   0.0   \n",
      "\n",
      "  PRCP_ATTRIBUTES  ...  WT04 WT04_ATTRIBUTES  WT05 WT05_ATTRIBUTES  WT06  \\\n",
      "0        ,,W,2400  ...   NaN             NaN   NaN             NaN   NaN   \n",
      "1        ,,W,2400  ...   NaN             NaN   NaN             NaN   NaN   \n",
      "2       T,,W,2400  ...   NaN             NaN   NaN             NaN   NaN   \n",
      "3        ,,W,2400  ...   NaN             NaN   NaN             NaN   NaN   \n",
      "4        ,,W,2400  ...   NaN             NaN   NaN             NaN   NaN   \n",
      "\n",
      "  WT06_ATTRIBUTES  WT08 WT08_ATTRIBUTES  WT09 WT09_ATTRIBUTES  \n",
      "0             NaN   NaN             NaN   NaN             NaN  \n",
      "1             NaN   NaN             NaN   NaN             NaN  \n",
      "2             NaN   NaN             NaN   NaN             NaN  \n",
      "3             NaN   NaN             NaN   1.0             ,,W  \n",
      "4             NaN   NaN             NaN   NaN             NaN  \n",
      "\n",
      "[5 rows x 44 columns]\n"
     ]
    }
   ],
   "source": [
    "# Weater feature extraction\n",
    "df_WTR=pd.read_csv('G:/My Drive/Uber movement/Codes and datasets/Datasets/1731302.csv')\n",
    "print(df_WTR.info())\n",
    "print(df_WTR.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 47384 entries, 0 to 47383\n",
      "Data columns (total 26 columns):\n",
      "Origin Movement ID                           47384 non-null int64\n",
      "Origin Display Name                          47384 non-null object\n",
      "Destination Movement ID                      47384 non-null int64\n",
      "Destination Display Name                     47384 non-null object\n",
      "Date Range                                   47384 non-null object\n",
      "Mean Travel Time (Seconds)                   47384 non-null int64\n",
      "Range - Lower Bound Travel Time (Seconds)    47384 non-null int64\n",
      "Range - Upper Bound Travel Time (Seconds)    47384 non-null int64\n",
      "Date                                         47384 non-null object\n",
      "AWND                                         47384 non-null float64\n",
      "PRCP                                         47384 non-null float64\n",
      "SNOW                                         47384 non-null float64\n",
      "SNWD                                         47384 non-null float64\n",
      "TAVG                                         47384 non-null int64\n",
      "TMAX                                         47384 non-null int64\n",
      "TMIN                                         47384 non-null int64\n",
      "WSF2                                         47384 non-null float64\n",
      "WSF5                                         46866 non-null float64\n",
      "WT01                                         15729 non-null float64\n",
      "WT02                                         2587 non-null float64\n",
      "WT03                                         537 non-null float64\n",
      "WT04                                         1028 non-null float64\n",
      "WT05                                         0 non-null float64\n",
      "WT06                                         525 non-null float64\n",
      "WT08                                         1048 non-null float64\n",
      "WT09                                         498 non-null float64\n",
      "dtypes: float64(14), int64(8), object(4)\n",
      "memory usage: 9.4+ MB\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Origin Movement ID</th>\n",
       "      <th>Origin Display Name</th>\n",
       "      <th>Destination Movement ID</th>\n",
       "      <th>Destination Display Name</th>\n",
       "      <th>Date Range</th>\n",
       "      <th>Mean Travel Time (Seconds)</th>\n",
       "      <th>Range - Lower Bound Travel Time (Seconds)</th>\n",
       "      <th>Range - Upper Bound Travel Time (Seconds)</th>\n",
       "      <th>Date</th>\n",
       "      <th>AWND</th>\n",
       "      <th>...</th>\n",
       "      <th>WSF2</th>\n",
       "      <th>WSF5</th>\n",
       "      <th>WT01</th>\n",
       "      <th>WT02</th>\n",
       "      <th>WT03</th>\n",
       "      <th>WT04</th>\n",
       "      <th>WT05</th>\n",
       "      <th>WT06</th>\n",
       "      <th>WT08</th>\n",
       "      <th>WT09</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>47379</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>553</td>\n",
       "      <td>4900 Seminary Road, Alexandria West, Alexandria</td>\n",
       "      <td>1/4/2018 - 1/4/2018, Every day, Daily Average</td>\n",
       "      <td>845</td>\n",
       "      <td>624</td>\n",
       "      <td>1142</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>19.91</td>\n",
       "      <td>...</td>\n",
       "      <td>35.1</td>\n",
       "      <td>49.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47380</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>554</td>\n",
       "      <td>1300 North Beauregard Street, Alexandria West,...</td>\n",
       "      <td>1/4/2018 - 1/4/2018, Every day, Daily Average</td>\n",
       "      <td>884</td>\n",
       "      <td>656</td>\n",
       "      <td>1190</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>19.91</td>\n",
       "      <td>...</td>\n",
       "      <td>35.1</td>\n",
       "      <td>49.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47381</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>555</td>\n",
       "      <td>5900 Atteentee Road, Springfield</td>\n",
       "      <td>1/4/2018 - 1/4/2018, Every day, Daily Average</td>\n",
       "      <td>1276</td>\n",
       "      <td>1045</td>\n",
       "      <td>1557</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>19.91</td>\n",
       "      <td>...</td>\n",
       "      <td>35.1</td>\n",
       "      <td>49.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47382</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>556</td>\n",
       "      <td>7800 Montvale Way, McLean</td>\n",
       "      <td>1/4/2018 - 1/4/2018, Every day, Daily Average</td>\n",
       "      <td>1510</td>\n",
       "      <td>1197</td>\n",
       "      <td>1903</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>19.91</td>\n",
       "      <td>...</td>\n",
       "      <td>35.1</td>\n",
       "      <td>49.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47383</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>558</td>\n",
       "      <td>4000 Wheeler Avenue, Seminary Hill, Alexandria</td>\n",
       "      <td>1/4/2018 - 1/4/2018, Every day, Daily Average</td>\n",
       "      <td>1373</td>\n",
       "      <td>966</td>\n",
       "      <td>1951</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>19.91</td>\n",
       "      <td>...</td>\n",
       "      <td>35.1</td>\n",
       "      <td>49.0</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>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Origin Movement ID                      Origin Display Name  \\\n",
       "47379                 186  20001, Northwest Washington, Washington   \n",
       "47380                 186  20001, Northwest Washington, Washington   \n",
       "47381                 186  20001, Northwest Washington, Washington   \n",
       "47382                 186  20001, Northwest Washington, Washington   \n",
       "47383                 186  20001, Northwest Washington, Washington   \n",
       "\n",
       "       Destination Movement ID  \\\n",
       "47379                      553   \n",
       "47380                      554   \n",
       "47381                      555   \n",
       "47382                      556   \n",
       "47383                      558   \n",
       "\n",
       "                                Destination Display Name  \\\n",
       "47379    4900 Seminary Road, Alexandria West, Alexandria   \n",
       "47380  1300 North Beauregard Street, Alexandria West,...   \n",
       "47381                   5900 Atteentee Road, Springfield   \n",
       "47382                          7800 Montvale Way, McLean   \n",
       "47383     4000 Wheeler Avenue, Seminary Hill, Alexandria   \n",
       "\n",
       "                                          Date Range  \\\n",
       "47379  1/4/2018 - 1/4/2018, Every day, Daily Average   \n",
       "47380  1/4/2018 - 1/4/2018, Every day, Daily Average   \n",
       "47381  1/4/2018 - 1/4/2018, Every day, Daily Average   \n",
       "47382  1/4/2018 - 1/4/2018, Every day, Daily Average   \n",
       "47383  1/4/2018 - 1/4/2018, Every day, Daily Average   \n",
       "\n",
       "       Mean Travel Time (Seconds)  Range - Lower Bound Travel Time (Seconds)  \\\n",
       "47379                         845                                        624   \n",
       "47380                         884                                        656   \n",
       "47381                        1276                                       1045   \n",
       "47382                        1510                                       1197   \n",
       "47383                        1373                                        966   \n",
       "\n",
       "       Range - Upper Bound Travel Time (Seconds)        Date   AWND  ...  \\\n",
       "47379                                       1142  2018-01-04  19.91  ...   \n",
       "47380                                       1190  2018-01-04  19.91  ...   \n",
       "47381                                       1557  2018-01-04  19.91  ...   \n",
       "47382                                       1903  2018-01-04  19.91  ...   \n",
       "47383                                       1951  2018-01-04  19.91  ...   \n",
       "\n",
       "       WSF2  WSF5  WT01  WT02  WT03  WT04  WT05  WT06  WT08  WT09  \n",
       "47379  35.1  49.0   1.0   NaN   NaN   NaN   NaN   NaN   NaN   1.0  \n",
       "47380  35.1  49.0   1.0   NaN   NaN   NaN   NaN   NaN   NaN   1.0  \n",
       "47381  35.1  49.0   1.0   NaN   NaN   NaN   NaN   NaN   NaN   1.0  \n",
       "47382  35.1  49.0   1.0   NaN   NaN   NaN   NaN   NaN   NaN   1.0  \n",
       "47383  35.1  49.0   1.0   NaN   NaN   NaN   NaN   NaN   NaN   1.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge weather with January data\n",
    "def wtrmerge(df1,df2):\n",
    "    columns=['AWND','PRCP','SNOW','SNWD','TAVG','TMAX','TMIN','WSF2','WSF5',\n",
    "             'WT01','WT02','WT03','WT04','WT05','WT06','WT08','WT09']\n",
    "    for c in columns: \n",
    "        f_c=dict(zip(df1['DATE'],df1[c]))\n",
    "        df2[c]=[f_c.get(str(v),'NaN') for v in df2['Date']]    \n",
    "    return\n",
    "wtrmerge(df_WTR,df_Q1)\n",
    "df_Q1.info()\n",
    "df_Q1.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    1\n",
      "1    1\n",
      "2    1\n",
      "3    1\n",
      "4    1\n",
      "Name: Month, dtype: int32\n",
      "0    6\n",
      "1    6\n",
      "2    6\n",
      "3    6\n",
      "4    6\n",
      "Name: DOW, dtype: int32\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Origin Movement ID</th>\n",
       "      <th>Origin Display Name</th>\n",
       "      <th>Destination Movement ID</th>\n",
       "      <th>Destination Display Name</th>\n",
       "      <th>Date Range</th>\n",
       "      <th>Mean Travel Time (Seconds)</th>\n",
       "      <th>Range - Lower Bound Travel Time (Seconds)</th>\n",
       "      <th>Range - Upper Bound Travel Time (Seconds)</th>\n",
       "      <th>Date</th>\n",
       "      <th>AWND</th>\n",
       "      <th>...</th>\n",
       "      <th>WT01</th>\n",
       "      <th>WT02</th>\n",
       "      <th>WT03</th>\n",
       "      <th>WT04</th>\n",
       "      <th>WT05</th>\n",
       "      <th>WT06</th>\n",
       "      <th>WT08</th>\n",
       "      <th>WT09</th>\n",
       "      <th>Month</th>\n",
       "      <th>DOW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>1</td>\n",
       "      <td>5400 Arnold Avenue Southwest, Southwest Washin...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>645</td>\n",
       "      <td>480</td>\n",
       "      <td>865</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</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</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>2</td>\n",
       "      <td>1400 Juniper Street Northwest, Northwest Washi...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1580</td>\n",
       "      <td>1292</td>\n",
       "      <td>1931</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</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</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>3</td>\n",
       "      <td>4800 Canal Road Northwest, Northwest Washingto...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1173</td>\n",
       "      <td>947</td>\n",
       "      <td>1452</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</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</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>4</td>\n",
       "      <td>2700 Unicorn Lane Northwest, Northwest Washing...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1634</td>\n",
       "      <td>1403</td>\n",
       "      <td>1902</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</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</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>5</td>\n",
       "      <td>4500 Q Place Northwest, Northwest Washington, ...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>913</td>\n",
       "      <td>720</td>\n",
       "      <td>1157</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</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</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Origin Movement ID                      Origin Display Name  \\\n",
       "0                 186  20001, Northwest Washington, Washington   \n",
       "1                 186  20001, Northwest Washington, Washington   \n",
       "2                 186  20001, Northwest Washington, Washington   \n",
       "3                 186  20001, Northwest Washington, Washington   \n",
       "4                 186  20001, Northwest Washington, Washington   \n",
       "\n",
       "   Destination Movement ID                           Destination Display Name  \\\n",
       "0                        1  5400 Arnold Avenue Southwest, Southwest Washin...   \n",
       "1                        2  1400 Juniper Street Northwest, Northwest Washi...   \n",
       "2                        3  4800 Canal Road Northwest, Northwest Washingto...   \n",
       "3                        4  2700 Unicorn Lane Northwest, Northwest Washing...   \n",
       "4                        5  4500 Q Place Northwest, Northwest Washington, ...   \n",
       "\n",
       "                                      Date Range  Mean Travel Time (Seconds)  \\\n",
       "0  1/7/2018 - 1/7/2018, Every day, Daily Average                         645   \n",
       "1  1/7/2018 - 1/7/2018, Every day, Daily Average                        1580   \n",
       "2  1/7/2018 - 1/7/2018, Every day, Daily Average                        1173   \n",
       "3  1/7/2018 - 1/7/2018, Every day, Daily Average                        1634   \n",
       "4  1/7/2018 - 1/7/2018, Every day, Daily Average                         913   \n",
       "\n",
       "   Range - Lower Bound Travel Time (Seconds)  \\\n",
       "0                                        480   \n",
       "1                                       1292   \n",
       "2                                        947   \n",
       "3                                       1403   \n",
       "4                                        720   \n",
       "\n",
       "   Range - Upper Bound Travel Time (Seconds)       Date  AWND  ...  WT01  \\\n",
       "0                                        865 2018-01-07  8.95  ...   NaN   \n",
       "1                                       1931 2018-01-07  8.95  ...   NaN   \n",
       "2                                       1452 2018-01-07  8.95  ...   NaN   \n",
       "3                                       1902 2018-01-07  8.95  ...   NaN   \n",
       "4                                       1157 2018-01-07  8.95  ...   NaN   \n",
       "\n",
       "   WT02  WT03  WT04  WT05  WT06  WT08  WT09  Month  DOW  \n",
       "0   NaN   NaN   NaN   NaN   NaN   NaN   NaN      1    6  \n",
       "1   NaN   NaN   NaN   NaN   NaN   NaN   NaN      1    6  \n",
       "2   NaN   NaN   NaN   NaN   NaN   NaN   NaN      1    6  \n",
       "3   NaN   NaN   NaN   NaN   NaN   NaN   NaN      1    6  \n",
       "4   NaN   NaN   NaN   NaN   NaN   NaN   NaN      1    6  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Datetime features extraction\n",
    "df_Q1['Date']=pd.to_datetime(df_Q1['Date'],format='%Y-%m-%d')\n",
    "df_Q1['Month']=getattr(df_Q1['Date'].dt, 'month').astype(int)\n",
    "df_Q1['DOW']=getattr(df_Q1['Date'].dt, 'dayofweek').astype(int) # The day of the week with Monday=0, Sunday=6.\n",
    "print(df_Q1['Month'].head())\n",
    "print(df_Q1['DOW'].head())\n",
    "df_Q1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 558 entries, 0 to 557\n",
      "Data columns (total 3 columns):\n",
      "MOVEMENT_ID     558 non-null object\n",
      "DISPLAY_NAME    558 non-null object\n",
      "geometry        558 non-null object\n",
      "dtypes: object(3)\n",
      "memory usage: 13.2+ KB\n",
      "1400 Juniper Street Northwest, Northwest Washington, Washington\n"
     ]
    },
    {
     "data": {
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      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x1cb3d6da400>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geometry feature extraction\n",
    "#import washington_DC_censustracts\n",
    "WDC_GEO=gpd.read_file ('G:/My Drive/Uber movement/Codes and datasets/Datasets/washington_DC_censustracts.json')\n",
    "WDC_GEO.columns\n",
    "WDC_GEO.info()\n",
    "WDC_GEO.plot()\n",
    "print(WDC_GEO['DISPLAY_NAME'][1])\n",
    "WDC_GEO['geometry'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph_area_m2: 2910236.4068359076\n"
     ]
    }
   ],
   "source": [
    "# get a graph for polygon \n",
    "G = ox.graph_from_polygon(WDC_GEO['geometry'][1], network_type='drive_service', truncate_by_edge=False, simplify=False, retain_all=True)\n",
    "# convert graph to UTM zone\n",
    "G_proj = ox.project_graph(G)\n",
    "# convert to geodataframe\n",
    "nodes_proj = ox.graph_to_gdfs(G_proj, edges=False)\n",
    "# what sized area does our network cover in square meters?\n",
    "graph_area_m = nodes_proj.unary_union.convex_hull.area\n",
    "print('graph_area_m2:',graph_area_m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 407.46x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "blue_retain 325\n",
      "red_clean 1707\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 407.46x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "blue_retain 325\n",
      "red_clean 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 407.46x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base_stat of origin graph: {'n': 2032, 'm': 4240, 'k_avg': 4.173228346456693, 'intersection_count': 2002, 'streets_per_node_avg': 2.172244094488189, 'streets_per_node_counts': {0: 2, 1: 28, 2: 1709, 3: 204, 4: 89}, 'streets_per_node_proportion': {0: 0.000984251968503937, 1: 0.013779527559055118, 2: 0.8410433070866141, 3: 0.10039370078740158, 4: 0.043799212598425195}, 'edge_length_total': 85165.40099999995, 'edge_length_avg': 20.086179481132064, 'street_length_total': 45074.283999999985, 'street_length_avg': 20.423327594019025, 'street_segments_count': 2207, 'node_density_km': 698.2250635127092, 'intersection_density_km': 687.9166226143916, 'edge_density_km': 29264.083426333815, 'street_density_km': 15488.18642159935, 'circuity_avg': 0.9995638759674357, 'self_loop_proportion': 0.0, 'clean_intersection_count': 299, 'clean_intersection_density_km': 102.74079428656498}\n",
      "232\n",
      "base_stat of clen_intersection graph: {'n': 325, 'm': 934, 'k_avg': 5.747692307692308, 'intersection_count': 295, 'streets_per_node_avg': 3.076923076923077, 'streets_per_node_counts': {0: 2, 1: 28, 2: 2, 3: 204, 4: 89}, 'streets_per_node_proportion': {0: 0.006153846153846154, 1: 0.08615384615384615, 2: 0.006153846153846154, 3: 0.6276923076923077, 4: 0.27384615384615385}, 'edge_length_total': 85165.40100000016, 'edge_length_avg': 91.18351284796591, 'street_length_total': 45074.28399999999, 'street_length_avg': 90.14856799999998, 'street_segments_count': 500, 'node_density_km': 111.6747763984402, 'intersection_density_km': 101.36633550012264, 'edge_density_km': 29264.083426333884, 'street_density_km': 15488.186421599354, 'circuity_avg': 1.0599105911474278, 'self_loop_proportion': 0.0, 'clean_intersection_count': 232, 'clean_intersection_density_km': 79.71860961365577}\n"
     ]
    }
   ],
   "source": [
    "#Use OSMnx to topologically correct and simplify street networks- nodes\n",
    "fig, ax = ox.plot_graph(G, node_color='b', node_zorder=3)\n",
    "# show which nodes we'd remove if we simplify it\n",
    "nc = ['b' if ox.is_endpoint(G, node) else 'r' for node in G.nodes()]\n",
    "print('blue_retain',nc.count('b'))\n",
    "print('red_clean',nc.count('r'))\n",
    "fig, ax = ox.plot_graph(G, node_color=nc, node_zorder=3)\n",
    "#Simplify a graph’s topology by removing all nodes that are not intersections or dead-ends.\n",
    "G2 = G.copy()\n",
    "G2 = ox.simplify_graph(G2)\n",
    "nc_G2 = ['b' if ox.is_endpoint(G2, node) else 'r' for node in G2.nodes()]\n",
    "print('blue_retain',nc_G2.count('b'))\n",
    "print('red_clean',nc_G2.count('r'))\n",
    "fig, ax = ox.plot_graph(G2, node_color='b', node_zorder=3)\n",
    "# show some basic stats about the network\n",
    "base_stat=ox.basic_stats(G_proj, area=graph_area_m, clean_intersects=True, circuity_dist='euclidean')\n",
    "print('base_stat of origin graph:', base_stat)\n",
    "# clean up the intersections and extract their xy coords\n",
    "G2_proj = ox.project_graph(G2)\n",
    "intersections = ox.clean_intersections(G2_proj, tolerance=15, dead_ends=False)\n",
    "print(len(intersections))\n",
    "base_stat_G2=ox.basic_stats(G2_proj, area=graph_area_m, clean_intersects=False, circuity_dist='euclidean')\n",
    "if base_stat_G2['intersection_count']>0:\n",
    "    base_stat_G2=ox.basic_stats(G2_proj, area=graph_area_m, clean_intersects=True, circuity_dist='euclidean')\n",
    "else:\n",
    "    base_stat_G2['clean_intersection_count']=0\n",
    "print('base_stat of clen_intersection graph:', base_stat_G2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 313.885x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G2_extd_stat=ox.extended_stats(G2_proj, ecc=True, bc=True, cc=True)\n",
    "\n",
    "max_node, max_bc = max(G2_extd_stat['betweenness_centrality'].items(), key=lambda x: x[1])\n",
    "nc = ['r' if node==max_node else '#336699' for node in G2_proj.nodes()]\n",
    "ns = [50 if node==max_node else 8 for node in G2_proj.nodes()]\n",
    "fig, ax = ox.plot_graph(G2_proj, node_size=ns, node_color=nc, node_zorder=2)\n",
    "#plt.title('Max Betweenness Centrality In The Origin ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 558 entries, 0 to 557\n",
      "Data columns (total 10 columns):\n",
      "MOVEMENT_ID                      558 non-null object\n",
      "DISPLAY_NAME                     558 non-null object\n",
      "geometry                         558 non-null object\n",
      "graph_area_m                     558 non-null float64\n",
      "clean_intersection_count         558 non-null int64\n",
      "clean_intersection_density_km    558 non-null float64\n",
      "street_length_total              558 non-null float64\n",
      "street_density_km                558 non-null float64\n",
      "mxbc_node                        558 non-null int64\n",
      "centroid                         558 non-null object\n",
      "dtypes: float64(4), int64(2), object(4)\n",
      "memory usage: 43.7+ KB\n"
     ]
    }
   ],
   "source": [
    "# extract DC geometry feature from polygons\n",
    "def wdcgeofeature(df):\n",
    "    garea=[]\n",
    "    cintc=[]\n",
    "    cintd=[]\n",
    "    stlen=[]\n",
    "    stden=[]\n",
    "    bcnod=[]\n",
    "    for i in df.index:\n",
    "        P = ox.graph_from_polygon(df['geometry'][i], network_type='drive_service', truncate_by_edge=False, simplify=False, retain_all=True, name=i)\n",
    "# convert graph to UTM zone\n",
    "        P_proj = ox.project_graph(P)\n",
    "# convert to geodataframe\n",
    "        nodes_proj = ox.graph_to_gdfs(P_proj, edges=False)\n",
    "# what sized area does our network cover in square meters?\n",
    "        graph_area_m = nodes_proj.unary_union.convex_hull.area\n",
    "#Simplify a graph’s topology by removing all nodes that are not intersections or dead-ends.\n",
    "        P2 = P.copy()\n",
    "        P2 = ox.simplify_graph(P2)\n",
    "        P2_proj = ox.project_graph(P2)\n",
    "        base_stat=ox.basic_stats(P2_proj, area=graph_area_m, clean_intersects=False, circuity_dist='euclidean')\n",
    "        if base_stat['intersection_count']>0:\n",
    "            base_stat=ox.basic_stats(P2_proj, area=graph_area_m, clean_intersects=True, circuity_dist='euclidean')\n",
    "        else:\n",
    "            base_stat['clean_intersection_count']=0\n",
    "        extd_stat=ox.extended_stats(P2_proj, ecc=True, bc=True, cc=True)\n",
    "        mx_nd, mx_bc = max(extd_stat['betweenness_centrality'].items(), key=lambda x: x[1])\n",
    "        bcnod.append(mx_nd)\n",
    "        garea.append(graph_area_m)\n",
    "        cintc.append(base_stat['clean_intersection_count'])\n",
    "        cintd.append(base_stat['clean_intersection_density_km'])\n",
    "        stlen.append(base_stat['street_length_total'])\n",
    "        stden.append(base_stat['street_density_km'])\n",
    "    df['graph_area_m']=garea\n",
    "    df['clean_intersection_count']=cintc\n",
    "    df['clean_intersection_density_km']=cintd\n",
    "    df['street_length_total']=stlen\n",
    "    df['street_density_km']=stden\n",
    "    df['mxbc_node']=bcnod\n",
    "    df['centroid']=df.centroid\n",
    "    return\n",
    "wdcgeofeature(WDC_GEO)\n",
    "WDC_GEO.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MOVEMENT_ID</th>\n",
       "      <th>DISPLAY_NAME</th>\n",
       "      <th>geometry</th>\n",
       "      <th>graph_area_m</th>\n",
       "      <th>clean_intersection_count</th>\n",
       "      <th>clean_intersection_density_km</th>\n",
       "      <th>street_length_total</th>\n",
       "      <th>street_density_km</th>\n",
       "      <th>mxbc_node</th>\n",
       "      <th>centroid</th>\n",
       "      <th>centrnode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5400 Arnold Avenue Southwest, Southwest Washin...</td>\n",
       "      <td>(POLYGON ((-77.04800899999999 38.841266, -77.0...</td>\n",
       "      <td>5.015114e+06</td>\n",
       "      <td>231</td>\n",
       "      <td>46.060764</td>\n",
       "      <td>52675.320</td>\n",
       "      <td>10503.313887</td>\n",
       "      <td>49725080</td>\n",
       "      <td>POINT (-77.02294130943518 38.84052085153819)</td>\n",
       "      <td>49780370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1400 Juniper Street Northwest, Northwest Washi...</td>\n",
       "      <td>(POLYGON ((-77.05162300000001 38.987145, -77.0...</td>\n",
       "      <td>2.910236e+06</td>\n",
       "      <td>232</td>\n",
       "      <td>79.718610</td>\n",
       "      <td>45074.284</td>\n",
       "      <td>15488.186422</td>\n",
       "      <td>49745571</td>\n",
       "      <td>POINT (-77.03783577191703 38.98454887155413)</td>\n",
       "      <td>49781497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4800 Canal Road Northwest, Northwest Washingto...</td>\n",
       "      <td>(POLYGON ((-77.11975099999999 38.93435, -77.11...</td>\n",
       "      <td>2.583289e+06</td>\n",
       "      <td>78</td>\n",
       "      <td>30.194068</td>\n",
       "      <td>22759.985</td>\n",
       "      <td>8810.468252</td>\n",
       "      <td>49799918</td>\n",
       "      <td>POINT (-77.10750440345829 38.92796868986088)</td>\n",
       "      <td>49749809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2700 Unicorn Lane Northwest, Northwest Washing...</td>\n",
       "      <td>(POLYGON ((-77.071647 38.971786, -77.071250000...</td>\n",
       "      <td>5.283216e+06</td>\n",
       "      <td>131</td>\n",
       "      <td>24.795505</td>\n",
       "      <td>39295.185</td>\n",
       "      <td>7437.739980</td>\n",
       "      <td>49788157</td>\n",
       "      <td>POINT (-77.05407807862206 38.97350188393705)</td>\n",
       "      <td>49826388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4500 Q Place Northwest, Northwest Washington, ...</td>\n",
       "      <td>(POLYGON ((-77.100859 38.911209, -77.099577 38...</td>\n",
       "      <td>1.779070e+06</td>\n",
       "      <td>98</td>\n",
       "      <td>55.084950</td>\n",
       "      <td>21691.919</td>\n",
       "      <td>12192.839593</td>\n",
       "      <td>49743089</td>\n",
       "      <td>POINT (-77.08756121676936 38.91079508823327)</td>\n",
       "      <td>49743495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>Ridge Road Northwest, Northwest Washington, Wa...</td>\n",
       "      <td>(POLYGON ((-77.069425 38.954336, -77.069312999...</td>\n",
       "      <td>3.461076e+06</td>\n",
       "      <td>87</td>\n",
       "      <td>25.136695</td>\n",
       "      <td>28092.675</td>\n",
       "      <td>8116.747173</td>\n",
       "      <td>49731251</td>\n",
       "      <td>POINT (-77.05450194652471 38.95381695565449)</td>\n",
       "      <td>49731251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>4500 Ohio Drive Southwest, Southwest Washingto...</td>\n",
       "      <td>(POLYGON ((-77.064696 38.891852, -77.064626 38...</td>\n",
       "      <td>1.579999e+07</td>\n",
       "      <td>304</td>\n",
       "      <td>19.240516</td>\n",
       "      <td>90932.027</td>\n",
       "      <td>5755.194547</td>\n",
       "      <td>4015442034</td>\n",
       "      <td>POINT (-77.03521796880034 38.88015568908613)</td>\n",
       "      <td>3001694491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>0 H Street Northwest, Northwest Washington, Wa...</td>\n",
       "      <td>(POLYGON ((-77.021918 38.902521, -77.021514999...</td>\n",
       "      <td>3.319001e+05</td>\n",
       "      <td>39</td>\n",
       "      <td>117.505255</td>\n",
       "      <td>7870.612</td>\n",
       "      <td>23713.801773</td>\n",
       "      <td>3001288930</td>\n",
       "      <td>POINT (-77.01361182786752 38.9008608020275)</td>\n",
       "      <td>5441148094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>1800 Upshur Street Northwest, Northwest Washin...</td>\n",
       "      <td>(POLYGON ((-77.05211300000001 38.937994, -77.0...</td>\n",
       "      <td>2.619496e+06</td>\n",
       "      <td>71</td>\n",
       "      <td>27.104448</td>\n",
       "      <td>22234.713</td>\n",
       "      <td>8488.163585</td>\n",
       "      <td>49765793</td>\n",
       "      <td>POINT (-77.04245146320704 38.94524943927313)</td>\n",
       "      <td>49768085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>1500 30th Street Northwest, Northwest Washingt...</td>\n",
       "      <td>(POLYGON ((-77.06926900000001 38.900582, -77.0...</td>\n",
       "      <td>3.201272e+06</td>\n",
       "      <td>133</td>\n",
       "      <td>41.545982</td>\n",
       "      <td>25718.431</td>\n",
       "      <td>8033.815625</td>\n",
       "      <td>49797171</td>\n",
       "      <td>POINT (-77.06076728435676 38.90573018557915)</td>\n",
       "      <td>49781748</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  MOVEMENT_ID                                       DISPLAY_NAME  \\\n",
       "0           1  5400 Arnold Avenue Southwest, Southwest Washin...   \n",
       "1           2  1400 Juniper Street Northwest, Northwest Washi...   \n",
       "2           3  4800 Canal Road Northwest, Northwest Washingto...   \n",
       "3           4  2700 Unicorn Lane Northwest, Northwest Washing...   \n",
       "4           5  4500 Q Place Northwest, Northwest Washington, ...   \n",
       "5           6  Ridge Road Northwest, Northwest Washington, Wa...   \n",
       "6           7  4500 Ohio Drive Southwest, Southwest Washingto...   \n",
       "7           8  0 H Street Northwest, Northwest Washington, Wa...   \n",
       "8           9  1800 Upshur Street Northwest, Northwest Washin...   \n",
       "9          10  1500 30th Street Northwest, Northwest Washingt...   \n",
       "\n",
       "                                            geometry  graph_area_m  \\\n",
       "0  (POLYGON ((-77.04800899999999 38.841266, -77.0...  5.015114e+06   \n",
       "1  (POLYGON ((-77.05162300000001 38.987145, -77.0...  2.910236e+06   \n",
       "2  (POLYGON ((-77.11975099999999 38.93435, -77.11...  2.583289e+06   \n",
       "3  (POLYGON ((-77.071647 38.971786, -77.071250000...  5.283216e+06   \n",
       "4  (POLYGON ((-77.100859 38.911209, -77.099577 38...  1.779070e+06   \n",
       "5  (POLYGON ((-77.069425 38.954336, -77.069312999...  3.461076e+06   \n",
       "6  (POLYGON ((-77.064696 38.891852, -77.064626 38...  1.579999e+07   \n",
       "7  (POLYGON ((-77.021918 38.902521, -77.021514999...  3.319001e+05   \n",
       "8  (POLYGON ((-77.05211300000001 38.937994, -77.0...  2.619496e+06   \n",
       "9  (POLYGON ((-77.06926900000001 38.900582, -77.0...  3.201272e+06   \n",
       "\n",
       "   clean_intersection_count  clean_intersection_density_km  \\\n",
       "0                       231                      46.060764   \n",
       "1                       232                      79.718610   \n",
       "2                        78                      30.194068   \n",
       "3                       131                      24.795505   \n",
       "4                        98                      55.084950   \n",
       "5                        87                      25.136695   \n",
       "6                       304                      19.240516   \n",
       "7                        39                     117.505255   \n",
       "8                        71                      27.104448   \n",
       "9                       133                      41.545982   \n",
       "\n",
       "   street_length_total  street_density_km   mxbc_node  \\\n",
       "0            52675.320       10503.313887    49725080   \n",
       "1            45074.284       15488.186422    49745571   \n",
       "2            22759.985        8810.468252    49799918   \n",
       "3            39295.185        7437.739980    49788157   \n",
       "4            21691.919       12192.839593    49743089   \n",
       "5            28092.675        8116.747173    49731251   \n",
       "6            90932.027        5755.194547  4015442034   \n",
       "7             7870.612       23713.801773  3001288930   \n",
       "8            22234.713        8488.163585    49765793   \n",
       "9            25718.431        8033.815625    49797171   \n",
       "\n",
       "                                       centroid   centrnode  \n",
       "0  POINT (-77.02294130943518 38.84052085153819)    49780370  \n",
       "1  POINT (-77.03783577191703 38.98454887155413)    49781497  \n",
       "2  POINT (-77.10750440345829 38.92796868986088)    49749809  \n",
       "3  POINT (-77.05407807862206 38.97350188393705)    49826388  \n",
       "4  POINT (-77.08756121676936 38.91079508823327)    49743495  \n",
       "5  POINT (-77.05450194652471 38.95381695565449)    49731251  \n",
       "6  POINT (-77.03521796880034 38.88015568908613)  3001694491  \n",
       "7   POINT (-77.01361182786752 38.9008608020275)  5441148094  \n",
       "8  POINT (-77.04245146320704 38.94524943927313)    49768085  \n",
       "9  POINT (-77.06076728435676 38.90573018557915)    49781748  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# extract nodes of centroid in polygons\n",
    "def wdcgeofeature2(df):\n",
    "    cennd=[]\n",
    "    for i in df.index:\n",
    "        P = ox.graph_from_polygon(df['geometry'][i], network_type='drive_service', truncate_by_edge=False, simplify=False, retain_all=True, name=i)\n",
    "        P2 = ox.simplify_graph(P)\n",
    "#        P2_proj = ox.project_graph(P2)\n",
    "        cor=(df['centroid'][i].x,df['centroid'][i].y)\n",
    "        rcor=tuple(reversed(cor))\n",
    "        node = ox.get_nearest_node(P2, rcor)\n",
    "        cennd.append(node)\n",
    "    df['centrnode']=cennd\n",
    "    return\n",
    "wdcgeofeature2(WDC_GEO)\n",
    "WDC_GEO.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 557.451x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MOVEMENT_ID</th>\n",
       "      <th>DISPLAY_NAME</th>\n",
       "      <th>geometry</th>\n",
       "      <th>graph_area_m</th>\n",
       "      <th>clean_intersection_count</th>\n",
       "      <th>clean_intersection_density_km</th>\n",
       "      <th>street_length_total</th>\n",
       "      <th>street_density_km</th>\n",
       "      <th>mxbc_node</th>\n",
       "      <th>centroid</th>\n",
       "      <th>centrnode</th>\n",
       "      <th>railway</th>\n",
       "      <th>railsubway_density_km</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5400 Arnold Avenue Southwest, Southwest Washin...</td>\n",
       "      <td>(POLYGON ((-77.04800899999999 38.841266, -77.0...</td>\n",
       "      <td>5.015114e+06</td>\n",
       "      <td>231</td>\n",
       "      <td>46.060764</td>\n",
       "      <td>52675.320</td>\n",
       "      <td>10503.313887</td>\n",
       "      <td>49725080</td>\n",
       "      <td>POINT (-77.02294130943518 38.84052085153819)</td>\n",
       "      <td>49780370</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1400 Juniper Street Northwest, Northwest Washi...</td>\n",
       "      <td>(POLYGON ((-77.05162300000001 38.987145, -77.0...</td>\n",
       "      <td>2.910236e+06</td>\n",
       "      <td>232</td>\n",
       "      <td>79.718610</td>\n",
       "      <td>45074.284</td>\n",
       "      <td>15488.186422</td>\n",
       "      <td>49745571</td>\n",
       "      <td>POINT (-77.03783577191703 38.98454887155413)</td>\n",
       "      <td>49781497</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4800 Canal Road Northwest, Northwest Washingto...</td>\n",
       "      <td>(POLYGON ((-77.11975099999999 38.93435, -77.11...</td>\n",
       "      <td>2.583289e+06</td>\n",
       "      <td>78</td>\n",
       "      <td>30.194068</td>\n",
       "      <td>22759.985</td>\n",
       "      <td>8810.468252</td>\n",
       "      <td>49799918</td>\n",
       "      <td>POINT (-77.10750440345829 38.92796868986088)</td>\n",
       "      <td>49749809</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2700 Unicorn Lane Northwest, Northwest Washing...</td>\n",
       "      <td>(POLYGON ((-77.071647 38.971786, -77.071250000...</td>\n",
       "      <td>5.283216e+06</td>\n",
       "      <td>131</td>\n",
       "      <td>24.795505</td>\n",
       "      <td>39295.185</td>\n",
       "      <td>7437.739980</td>\n",
       "      <td>49788157</td>\n",
       "      <td>POINT (-77.05407807862206 38.97350188393705)</td>\n",
       "      <td>49826388</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4500 Q Place Northwest, Northwest Washington, ...</td>\n",
       "      <td>(POLYGON ((-77.100859 38.911209, -77.099577 38...</td>\n",
       "      <td>1.779070e+06</td>\n",
       "      <td>98</td>\n",
       "      <td>55.084950</td>\n",
       "      <td>21691.919</td>\n",
       "      <td>12192.839593</td>\n",
       "      <td>49743089</td>\n",
       "      <td>POINT (-77.08756121676936 38.91079508823327)</td>\n",
       "      <td>49743495</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  MOVEMENT_ID                                       DISPLAY_NAME  \\\n",
       "0           1  5400 Arnold Avenue Southwest, Southwest Washin...   \n",
       "1           2  1400 Juniper Street Northwest, Northwest Washi...   \n",
       "2           3  4800 Canal Road Northwest, Northwest Washingto...   \n",
       "3           4  2700 Unicorn Lane Northwest, Northwest Washing...   \n",
       "4           5  4500 Q Place Northwest, Northwest Washington, ...   \n",
       "\n",
       "                                            geometry  graph_area_m  \\\n",
       "0  (POLYGON ((-77.04800899999999 38.841266, -77.0...  5.015114e+06   \n",
       "1  (POLYGON ((-77.05162300000001 38.987145, -77.0...  2.910236e+06   \n",
       "2  (POLYGON ((-77.11975099999999 38.93435, -77.11...  2.583289e+06   \n",
       "3  (POLYGON ((-77.071647 38.971786, -77.071250000...  5.283216e+06   \n",
       "4  (POLYGON ((-77.100859 38.911209, -77.099577 38...  1.779070e+06   \n",
       "\n",
       "   clean_intersection_count  clean_intersection_density_km  \\\n",
       "0                       231                      46.060764   \n",
       "1                       232                      79.718610   \n",
       "2                        78                      30.194068   \n",
       "3                       131                      24.795505   \n",
       "4                        98                      55.084950   \n",
       "\n",
       "   street_length_total  street_density_km  mxbc_node  \\\n",
       "0            52675.320       10503.313887   49725080   \n",
       "1            45074.284       15488.186422   49745571   \n",
       "2            22759.985        8810.468252   49799918   \n",
       "3            39295.185        7437.739980   49788157   \n",
       "4            21691.919       12192.839593   49743089   \n",
       "\n",
       "                                       centroid  centrnode  railway  \\\n",
       "0  POINT (-77.02294130943518 38.84052085153819)   49780370        0   \n",
       "1  POINT (-77.03783577191703 38.98454887155413)   49781497        0   \n",
       "2  POINT (-77.10750440345829 38.92796868986088)   49749809        0   \n",
       "3  POINT (-77.05407807862206 38.97350188393705)   49826388        0   \n",
       "4  POINT (-77.08756121676936 38.91079508823327)   49743495        0   \n",
       "\n",
       "   railsubway_density_km  \n",
       "0                    0.0  \n",
       "1                    0.0  \n",
       "2                    0.0  \n",
       "3                    0.0  \n",
       "4                    0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ubway/railway distribution on DC\n",
    "# 1. merge multipolygons in the greater DC\n",
    "geo=[ i for i in WDC_GEO['geometry']] \n",
    "dc_geo=cascaded_union(geo)\n",
    "# 2. show ubway/railway distribution on DC\n",
    "DC_Rl = ox.graph_from_polygon(dc_geo, network_type='none', truncate_by_edge=True, simplify=True, retain_all=True, \n",
    "                              infrastructure='way[\"railway\"~\"subway\"]')\n",
    "fig, ax = ox.plot_graph(ox.project_graph(DC_Rl))\n",
    "# 3. generate ubway/railway amount on polygons on DC\n",
    "def railway(df):\n",
    "    DC_Rll=list(DC_Rl.nodes())\n",
    "    rl=[]\n",
    "    for i in df.index:\n",
    "        c=0\n",
    "        for j in DC_Rll:\n",
    "            if df['geometry'][i].contains(Point(DC_Rl.node[j]['x'],DC_Rl.node[j]['y'])):\n",
    "                c+=1\n",
    "            else: \n",
    "                c=c\n",
    "        rl.append(c)\n",
    "    df['railway']=rl\n",
    "    return \n",
    "railway(WDC_GEO)\n",
    "# 4. generate ubway/railway density \n",
    "WDC_GEO['railsubway_density_km']=WDC_GEO['railway']/(WDC_GEO['graph_area_m']/1000000)\n",
    "WDC_GEO.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7 4500 Ohio Drive Southwest, Southwest Washington, Washington 15799991.861322297\n",
      "1 0.06329117184218032\n"
     ]
    }
   ],
   "source": [
    "print(WDC_GEO['MOVEMENT_ID'][6], WDC_GEO['DISPLAY_NAME'][6],WDC_GEO['graph_area_m'][6])\n",
    "print(WDC_GEO['railway'][6],WDC_GEO['railsubway_density_km'][6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 47384 entries, 0 to 47383\n",
      "Data columns (total 50 columns):\n",
      "Origin Movement ID                           47384 non-null int64\n",
      "Origin Display Name                          47384 non-null object\n",
      "Destination Movement ID                      47384 non-null int64\n",
      "Destination Display Name                     47384 non-null object\n",
      "Date Range                                   47384 non-null object\n",
      "Mean Travel Time (Seconds)                   47384 non-null int64\n",
      "Range - Lower Bound Travel Time (Seconds)    47384 non-null int64\n",
      "Range - Upper Bound Travel Time (Seconds)    47384 non-null int64\n",
      "Date                                         47384 non-null datetime64[ns]\n",
      "AWND                                         47384 non-null float64\n",
      "PRCP                                         47384 non-null float64\n",
      "SNOW                                         47384 non-null float64\n",
      "SNWD                                         47384 non-null float64\n",
      "TAVG                                         47384 non-null int64\n",
      "TMAX                                         47384 non-null int64\n",
      "TMIN                                         47384 non-null int64\n",
      "WSF2                                         47384 non-null float64\n",
      "WSF5                                         46866 non-null float64\n",
      "WT01                                         15729 non-null float64\n",
      "WT02                                         2587 non-null float64\n",
      "WT03                                         537 non-null float64\n",
      "WT04                                         1028 non-null float64\n",
      "WT05                                         0 non-null float64\n",
      "WT06                                         525 non-null float64\n",
      "WT08                                         1048 non-null float64\n",
      "WT09                                         498 non-null float64\n",
      "Month                                        47384 non-null int32\n",
      "DOW                                          47384 non-null int32\n",
      "src_geometry                                 47384 non-null object\n",
      "dst_geometry                                 47384 non-null object\n",
      "src_graph_area_m                             47384 non-null float64\n",
      "dst_graph_area_m                             47384 non-null float64\n",
      "src_clean_intersection_count                 47384 non-null int64\n",
      "dst_clean_intersection_count                 47384 non-null int64\n",
      "src_clean_intersection_density_km            47384 non-null float64\n",
      "dst_clean_intersection_density_km            47384 non-null float64\n",
      "src_street_length_total                      47384 non-null float64\n",
      "dst_street_length_total                      47384 non-null float64\n",
      "src_street_density_km                        47384 non-null float64\n",
      "dst_street_density_km                        47384 non-null float64\n",
      "src_mxbc_node                                47384 non-null int64\n",
      "dst_mxbc_node                                47384 non-null int64\n",
      "src_centroid                                 47384 non-null object\n",
      "dst_centroid                                 47384 non-null object\n",
      "src_centrnode                                47384 non-null int64\n",
      "dst_centrnode                                47384 non-null int64\n",
      "src_railway                                  47384 non-null int64\n",
      "dst_railway                                  47384 non-null int64\n",
      "src_railsubway_density_km                    47384 non-null float64\n",
      "dst_railsubway_density_km                    47384 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(24), int32(2), int64(16), object(7)\n",
      "memory usage: 17.7+ MB\n"
     ]
    },
    {
     "data": {
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       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Origin Movement ID</th>\n",
       "      <th>Origin Display Name</th>\n",
       "      <th>Destination Movement ID</th>\n",
       "      <th>Destination Display Name</th>\n",
       "      <th>Date Range</th>\n",
       "      <th>Mean Travel Time (Seconds)</th>\n",
       "      <th>Range - Lower Bound Travel Time (Seconds)</th>\n",
       "      <th>Range - Upper Bound Travel Time (Seconds)</th>\n",
       "      <th>Date</th>\n",
       "      <th>AWND</th>\n",
       "      <th>...</th>\n",
       "      <th>src_mxbc_node</th>\n",
       "      <th>dst_mxbc_node</th>\n",
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       "      <th>dst_centroid</th>\n",
       "      <th>src_centrnode</th>\n",
       "      <th>dst_centrnode</th>\n",
       "      <th>src_railway</th>\n",
       "      <th>dst_railway</th>\n",
       "      <th>src_railsubway_density_km</th>\n",
       "      <th>dst_railsubway_density_km</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
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       "      <td>2</td>\n",
       "      <td>1400 Juniper Street Northwest, Northwest Washi...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1580</td>\n",
       "      <td>1292</td>\n",
       "      <td>1931</td>\n",
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       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>3</td>\n",
       "      <td>4800 Canal Road Northwest, Northwest Washingto...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1173</td>\n",
       "      <td>947</td>\n",
       "      <td>1452</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</td>\n",
       "      <td>49762202</td>\n",
       "      <td>49799918</td>\n",
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>4</td>\n",
       "      <td>2700 Unicorn Lane Northwest, Northwest Washing...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1634</td>\n",
       "      <td>1403</td>\n",
       "      <td>1902</td>\n",
       "      <td>2018-01-07</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>5</td>\n",
       "      <td>4500 Q Place Northwest, Northwest Washington, ...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>913</td>\n",
       "      <td>720</td>\n",
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      ],
      "text/plain": [
       "   Origin Movement ID                      Origin Display Name  \\\n",
       "0                 186  20001, Northwest Washington, Washington   \n",
       "1                 186  20001, Northwest Washington, Washington   \n",
       "2                 186  20001, Northwest Washington, Washington   \n",
       "3                 186  20001, Northwest Washington, Washington   \n",
       "4                 186  20001, Northwest Washington, Washington   \n",
       "\n",
       "   Destination Movement ID                           Destination Display Name  \\\n",
       "0                        1  5400 Arnold Avenue Southwest, Southwest Washin...   \n",
       "1                        2  1400 Juniper Street Northwest, Northwest Washi...   \n",
       "2                        3  4800 Canal Road Northwest, Northwest Washingto...   \n",
       "3                        4  2700 Unicorn Lane Northwest, Northwest Washing...   \n",
       "4                        5  4500 Q Place Northwest, Northwest Washington, ...   \n",
       "\n",
       "                                      Date Range  Mean Travel Time (Seconds)  \\\n",
       "0  1/7/2018 - 1/7/2018, Every day, Daily Average                         645   \n",
       "1  1/7/2018 - 1/7/2018, Every day, Daily Average                        1580   \n",
       "2  1/7/2018 - 1/7/2018, Every day, Daily Average                        1173   \n",
       "3  1/7/2018 - 1/7/2018, Every day, Daily Average                        1634   \n",
       "4  1/7/2018 - 1/7/2018, Every day, Daily Average                         913   \n",
       "\n",
       "   Range - Lower Bound Travel Time (Seconds)  \\\n",
       "0                                        480   \n",
       "1                                       1292   \n",
       "2                                        947   \n",
       "3                                       1403   \n",
       "4                                        720   \n",
       "\n",
       "   Range - Upper Bound Travel Time (Seconds)       Date  AWND  ...  \\\n",
       "0                                        865 2018-01-07  8.95  ...   \n",
       "1                                       1931 2018-01-07  8.95  ...   \n",
       "2                                       1452 2018-01-07  8.95  ...   \n",
       "3                                       1902 2018-01-07  8.95  ...   \n",
       "4                                       1157 2018-01-07  8.95  ...   \n",
       "\n",
       "   src_mxbc_node  dst_mxbc_node                                src_centroid  \\\n",
       "0       49762202       49725080  POINT (-77.02503046156995 38.897861630962)   \n",
       "1       49762202       49745571  POINT (-77.02503046156995 38.897861630962)   \n",
       "2       49762202       49799918  POINT (-77.02503046156995 38.897861630962)   \n",
       "3       49762202       49788157  POINT (-77.02503046156995 38.897861630962)   \n",
       "4       49762202       49743089  POINT (-77.02503046156995 38.897861630962)   \n",
       "\n",
       "                                   dst_centroid  src_centrnode  dst_centrnode  \\\n",
       "0  POINT (-77.02294130943518 38.84052085153819)     3669554873       49780370   \n",
       "1  POINT (-77.03783577191703 38.98454887155413)     3669554873       49781497   \n",
       "2  POINT (-77.10750440345829 38.92796868986088)     3669554873       49749809   \n",
       "3  POINT (-77.05407807862206 38.97350188393705)     3669554873       49826388   \n",
       "4  POINT (-77.08756121676936 38.91079508823327)     3669554873       49743495   \n",
       "\n",
       "   src_railway  dst_railway  src_railsubway_density_km  \\\n",
       "0            0            0                        0.0   \n",
       "1            0            0                        0.0   \n",
       "2            0            0                        0.0   \n",
       "3            0            0                        0.0   \n",
       "4            0            0                        0.0   \n",
       "\n",
       "   dst_railsubway_density_km  \n",
       "0                        0.0  \n",
       "1                        0.0  \n",
       "2                        0.0  \n",
       "3                        0.0  \n",
       "4                        0.0  \n",
       "\n",
       "[5 rows x 50 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merge Geometry data into 2018Q1 data\n",
    "def geomerge(df1,df2):\n",
    "    for i in df1.columns[2:len(df1.columns)]: \n",
    "        f_i=dict(zip(df1['MOVEMENT_ID'],df1[i]))\n",
    "        df2['src_'+i]=[f_i.get(str(v),'NaN') for v in df2['Origin Movement ID']]    \n",
    "        df2['dst_'+i]=[f_i.get(str(y),'NaN') for y in df2['Destination Movement ID']]\n",
    "    return\n",
    "geomerge(WDC_GEO,df_Q1)\n",
    "df_Q1.info()\n",
    "df_Q1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 580.879x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the shortest path and Euclidean distance\n",
    "## import DC road and service map\n",
    "DCG = ox.load_graphml('G:/My Drive/Uber movement/Codes and datasets/Datasets/GDC_drive_service.graphml')\n",
    "fig, ax = ox.plot_graph(DCG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "DCG_proj = ox.project_graph(DCG) # convert graph to UTM zone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87\n",
      "[181, 705, 1226, 1733, 2238, 2763, 3300, 3834, 4338, 4844, 5365, 5892, 6402, 6919, 7435, 7969, 8503, 9033, 9565, 10073, 10604, 11136, 11665, 12196, 12706, 13238, 13757, 14286, 14827, 15351, 15873, 16396, 16913, 17439, 17966, 18505, 19041, 19566, 20099, 20635, 21161, 21673, 22171, 22696, 23233, 23750, 24278, 25344, 25883, 26420, 26946, 27484, 28012, 28534, 29076, 29607, 30137, 30662, 31195, 31736, 32270, 32782, 33322, 33849, 34381, 34911, 35447, 35980, 36506, 37032, 37570, 38098, 39160, 40200, 40719, 41250, 41779, 42300, 42839, 43373, 43907, 44423, 44947, 45478, 46011, 46537, 47066]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(47297, 50)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## remove the data with the same Origin Movement ID (186) and Destination Movement ID (186), \n",
    "    ## because their distance can't be generated\n",
    "Same_Mov_id=[i for i in df_Q1.index if df_Q1['Origin Movement ID'][i]==df_Q1['Destination Movement ID'][i]]\n",
    "print(len(Same_Mov_id))\n",
    "print(Same_Mov_id)\n",
    "df_Q1=df_Q1.drop(Same_Mov_id,axis=0)    \n",
    "df_Q1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "555\n",
      "2\n",
      "[(49762202, 63627275), (49762202, 5436130189)]\n",
      "518    519\n",
      "Name: MOVEMENT_ID, dtype: object 545    546\n",
      "Name: MOVEMENT_ID, dtype: object\n",
      "Int64Index([11981, 28853, 33104, 38418], dtype='int64')\n",
      "Int64Index([  515,  1034,  1544,  2047,  2567,  3104,  3643,  4148,  4651,\n",
      "             5172,  5701,  6211,  6727,  7241,  7772,  8308,  8836,  9372,\n",
      "             9880, 10408, 10946, 11469, 12006, 12513, 13047, 13562, 14091,\n",
      "            14635, 15158, 15680, 16203, 16721, 17246, 17772, 18310, 18847,\n",
      "            19370, 19902, 20443, 20969, 21487, 21981, 22502, 23039, 23559,\n",
      "            24084, 24612, 25149, 25686, 26226, 26751, 27289, 27821, 28341,\n",
      "            28879, 29414, 29941, 30471, 30998, 31539, 32078, 32587, 33129,\n",
      "            33653, 34186, 34715, 35254, 35787, 36312, 36839, 37379, 37902,\n",
      "            38442, 38967, 39483, 40010, 40528, 41057, 41587, 42105, 42645,\n",
      "            43177, 43715, 44231, 44754, 45284, 45816, 46344, 46873, 47372],\n",
      "           dtype='int64')\n",
      "Non_Path Removed: 94\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(47203, 50)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## check whether there is a shortest path between the node with the max betweenness_centrality of origin ID and destination ID \n",
    "rt_set=set(zip(df_Q1['src_mxbc_node'],df_Q1['dst_mxbc_node']))\n",
    "print(len(rt_set))\n",
    "Non_Path=[rt for rt in rt_set if not nx.has_path(DCG, rt[0], rt[1])] # 2 unique routes don't have the shortest paths\n",
    "print(len(Non_Path))\n",
    "print(Non_Path)\n",
    "print(WDC_GEO.loc[WDC_GEO['mxbc_node']==63627275,'MOVEMENT_ID'], \n",
    "      WDC_GEO.loc[WDC_GEO['mxbc_node']==5436130189]['MOVEMENT_ID']) # 2 zones (519,546) will be removed \n",
    "print(df_Q1.loc[df_Q1['dst_mxbc_node']==63627275].index)\n",
    "print(df_Q1.loc[df_Q1['dst_mxbc_node']==5436130189].index)\n",
    "print('Non_Path Removed:', len(df_Q1.loc[df_Q1['dst_mxbc_node']==63627275].index)\n",
    "      +len(df_Q1.loc[df_Q1['dst_mxbc_node']==5436130189].index))\n",
    "df_Q1=df_Q1.drop(df_Q1.loc[df_Q1['dst_mxbc_node']==63627275].index,axis=0)\n",
    "df_Q1=df_Q1.drop(df_Q1.loc[df_Q1['dst_mxbc_node']==5436130189].index,axis=0)\n",
    "df_Q1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50\n",
      "100\n",
      "200\n",
      "500\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 47203 entries, 0 to 47383\n",
      "Data columns (total 52 columns):\n",
      "Origin Movement ID                           47203 non-null int64\n",
      "Origin Display Name                          47203 non-null object\n",
      "Destination Movement ID                      47203 non-null int64\n",
      "Destination Display Name                     47203 non-null object\n",
      "Date Range                                   47203 non-null object\n",
      "Mean Travel Time (Seconds)                   47203 non-null int64\n",
      "Range - Lower Bound Travel Time (Seconds)    47203 non-null int64\n",
      "Range - Upper Bound Travel Time (Seconds)    47203 non-null int64\n",
      "Date                                         47203 non-null datetime64[ns]\n",
      "AWND                                         47203 non-null float64\n",
      "PRCP                                         47203 non-null float64\n",
      "SNOW                                         47203 non-null float64\n",
      "SNWD                                         47203 non-null float64\n",
      "TAVG                                         47203 non-null int64\n",
      "TMAX                                         47203 non-null int64\n",
      "TMIN                                         47203 non-null int64\n",
      "WSF2                                         47203 non-null float64\n",
      "WSF5                                         46687 non-null float64\n",
      "WT01                                         15667 non-null float64\n",
      "WT02                                         2577 non-null float64\n",
      "WT03                                         535 non-null float64\n",
      "WT04                                         1024 non-null float64\n",
      "WT05                                         0 non-null float64\n",
      "WT06                                         523 non-null float64\n",
      "WT08                                         1044 non-null float64\n",
      "WT09                                         496 non-null float64\n",
      "Month                                        47203 non-null int32\n",
      "DOW                                          47203 non-null int32\n",
      "src_geometry                                 47203 non-null object\n",
      "dst_geometry                                 47203 non-null object\n",
      "src_graph_area_m                             47203 non-null float64\n",
      "dst_graph_area_m                             47203 non-null float64\n",
      "src_clean_intersection_count                 47203 non-null int64\n",
      "dst_clean_intersection_count                 47203 non-null int64\n",
      "src_clean_intersection_density_km            47203 non-null float64\n",
      "dst_clean_intersection_density_km            47203 non-null float64\n",
      "src_street_length_total                      47203 non-null float64\n",
      "dst_street_length_total                      47203 non-null float64\n",
      "src_street_density_km                        47203 non-null float64\n",
      "dst_street_density_km                        47203 non-null float64\n",
      "src_mxbc_node                                47203 non-null int64\n",
      "dst_mxbc_node                                47203 non-null int64\n",
      "src_centroid                                 47203 non-null object\n",
      "dst_centroid                                 47203 non-null object\n",
      "src_centrnode                                47203 non-null int64\n",
      "dst_centrnode                                47203 non-null int64\n",
      "src_railway                                  47203 non-null int64\n",
      "dst_railway                                  47203 non-null int64\n",
      "src_railsubway_density_km                    47203 non-null float64\n",
      "dst_railsubway_density_km                    47203 non-null float64\n",
      "spath                                        47203 non-null float64\n",
      "epath                                        47203 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(26), int32(2), int64(16), object(7)\n",
      "memory usage: 18.7+ MB\n"
     ]
    }
   ],
   "source": [
    "## calculate the shortest path and Euclidean distance\n",
    "def pathdist(df):\n",
    "    dst=set(df['dst_mxbc_node'])\n",
    "    spath={}\n",
    "    epath={}\n",
    "    for d in dst:\n",
    "        spath[d]=nx.shortest_path_length(DCG, 49762202, d, weight='length')\n",
    "        epath[d]=ox.euclidean_dist_vec(DCG_proj.node[d]['y'], DCG_proj.node[d]['x'],DCG_proj.node[49762202]['y'], DCG_proj.node[49762202]['x'])\n",
    "        if len(epath)==50: \n",
    "            print(len(epath))\n",
    "        elif len(epath)==100:\n",
    "            print(len(epath))           \n",
    "        elif len(epath)==200:\n",
    "            print(len(epath))\n",
    "        elif len(epath)==500:\n",
    "            print(len(epath))\n",
    "#    print(spath)\n",
    "#    print(epath)\n",
    "    df_Q1['spath']=[spath.get(v,'NaN') for v in df['dst_mxbc_node']]\n",
    "    df_Q1['epath']=[epath.get(u,'NaN') for u in df['dst_mxbc_node']]\n",
    "    return \n",
    "pathdist(df_Q1)\n",
    "df_Q1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10226.499\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 580.879x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Showing the example of shortest path of destination\n",
    "route1 = nx.shortest_path(DCG, 49762202, df_Q1['dst_mxbc_node'][1], weight='length')\n",
    "#route4 = nx.shortest_path(DCG, 49762202, df_Q1['dst_mxbc_node'][4], weight='length')\n",
    "print(df_Q1['spath'][1])\n",
    "fig, ax = ox.plot_graph_route(DCG, route1, node_size=0)\n",
    "#fig, ax = ox.plot_graph_route(DCG, route4, node_size=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Origin Movement ID</th>\n",
       "      <th>Origin Display Name</th>\n",
       "      <th>Destination Movement ID</th>\n",
       "      <th>Destination Display Name</th>\n",
       "      <th>Date Range</th>\n",
       "      <th>Mean Travel Time (Seconds)</th>\n",
       "      <th>Range - Lower Bound Travel Time (Seconds)</th>\n",
       "      <th>Range - Upper Bound Travel Time (Seconds)</th>\n",
       "      <th>Date</th>\n",
       "      <th>AWND</th>\n",
       "      <th>...</th>\n",
       "      <th>dst_centroid</th>\n",
       "      <th>src_centrnode</th>\n",
       "      <th>dst_centrnode</th>\n",
       "      <th>src_railway</th>\n",
       "      <th>dst_railway</th>\n",
       "      <th>src_railsubway_density_km</th>\n",
       "      <th>dst_railsubway_density_km</th>\n",
       "      <th>spath</th>\n",
       "      <th>epath</th>\n",
       "      <th>circuit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>1</td>\n",
       "      <td>5400 Arnold Avenue Southwest, Southwest Washin...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>645</td>\n",
       "      <td>480</td>\n",
       "      <td>865</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</td>\n",
       "      <td>POINT (-77.02294130943518 38.84052085153819)</td>\n",
       "      <td>3669554873</td>\n",
       "      <td>49780370</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10504.058</td>\n",
       "      <td>6549.172599</td>\n",
       "      <td>1.603876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>2</td>\n",
       "      <td>1400 Juniper Street Northwest, Northwest Washi...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1580</td>\n",
       "      <td>1292</td>\n",
       "      <td>1931</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</td>\n",
       "      <td>POINT (-77.03783577191703 38.98454887155413)</td>\n",
       "      <td>3669554873</td>\n",
       "      <td>49781497</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10226.499</td>\n",
       "      <td>9733.047387</td>\n",
       "      <td>1.050699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>3</td>\n",
       "      <td>4800 Canal Road Northwest, Northwest Washingto...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1173</td>\n",
       "      <td>947</td>\n",
       "      <td>1452</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</td>\n",
       "      <td>POINT (-77.10750440345829 38.92796868986088)</td>\n",
       "      <td>3669554873</td>\n",
       "      <td>49749809</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8465.565</td>\n",
       "      <td>7501.845296</td>\n",
       "      <td>1.128464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>4</td>\n",
       "      <td>2700 Unicorn Lane Northwest, Northwest Washing...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>1634</td>\n",
       "      <td>1403</td>\n",
       "      <td>1902</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</td>\n",
       "      <td>POINT (-77.05407807862206 38.97350188393705)</td>\n",
       "      <td>3669554873</td>\n",
       "      <td>49826388</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9694.971</td>\n",
       "      <td>8490.096313</td>\n",
       "      <td>1.141915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>186</td>\n",
       "      <td>20001, Northwest Washington, Washington</td>\n",
       "      <td>5</td>\n",
       "      <td>4500 Q Place Northwest, Northwest Washington, ...</td>\n",
       "      <td>1/7/2018 - 1/7/2018, Every day, Daily Average</td>\n",
       "      <td>913</td>\n",
       "      <td>720</td>\n",
       "      <td>1157</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>8.95</td>\n",
       "      <td>...</td>\n",
       "      <td>POINT (-77.08756121676936 38.91079508823327)</td>\n",
       "      <td>3669554873</td>\n",
       "      <td>49743495</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5718.957</td>\n",
       "      <td>5272.930256</td>\n",
       "      <td>1.084588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Origin Movement ID                      Origin Display Name  \\\n",
       "0                 186  20001, Northwest Washington, Washington   \n",
       "1                 186  20001, Northwest Washington, Washington   \n",
       "2                 186  20001, Northwest Washington, Washington   \n",
       "3                 186  20001, Northwest Washington, Washington   \n",
       "4                 186  20001, Northwest Washington, Washington   \n",
       "\n",
       "   Destination Movement ID                           Destination Display Name  \\\n",
       "0                        1  5400 Arnold Avenue Southwest, Southwest Washin...   \n",
       "1                        2  1400 Juniper Street Northwest, Northwest Washi...   \n",
       "2                        3  4800 Canal Road Northwest, Northwest Washingto...   \n",
       "3                        4  2700 Unicorn Lane Northwest, Northwest Washing...   \n",
       "4                        5  4500 Q Place Northwest, Northwest Washington, ...   \n",
       "\n",
       "                                      Date Range  Mean Travel Time (Seconds)  \\\n",
       "0  1/7/2018 - 1/7/2018, Every day, Daily Average                         645   \n",
       "1  1/7/2018 - 1/7/2018, Every day, Daily Average                        1580   \n",
       "2  1/7/2018 - 1/7/2018, Every day, Daily Average                        1173   \n",
       "3  1/7/2018 - 1/7/2018, Every day, Daily Average                        1634   \n",
       "4  1/7/2018 - 1/7/2018, Every day, Daily Average                         913   \n",
       "\n",
       "   Range - Lower Bound Travel Time (Seconds)  \\\n",
       "0                                        480   \n",
       "1                                       1292   \n",
       "2                                        947   \n",
       "3                                       1403   \n",
       "4                                        720   \n",
       "\n",
       "   Range - Upper Bound Travel Time (Seconds)       Date  AWND  ...  \\\n",
       "0                                        865 2018-01-07  8.95  ...   \n",
       "1                                       1931 2018-01-07  8.95  ...   \n",
       "2                                       1452 2018-01-07  8.95  ...   \n",
       "3                                       1902 2018-01-07  8.95  ...   \n",
       "4                                       1157 2018-01-07  8.95  ...   \n",
       "\n",
       "                                   dst_centroid  src_centrnode  dst_centrnode  \\\n",
       "0  POINT (-77.02294130943518 38.84052085153819)     3669554873       49780370   \n",
       "1  POINT (-77.03783577191703 38.98454887155413)     3669554873       49781497   \n",
       "2  POINT (-77.10750440345829 38.92796868986088)     3669554873       49749809   \n",
       "3  POINT (-77.05407807862206 38.97350188393705)     3669554873       49826388   \n",
       "4  POINT (-77.08756121676936 38.91079508823327)     3669554873       49743495   \n",
       "\n",
       "   src_railway  dst_railway  src_railsubway_density_km  \\\n",
       "0            0            0                        0.0   \n",
       "1            0            0                        0.0   \n",
       "2            0            0                        0.0   \n",
       "3            0            0                        0.0   \n",
       "4            0            0                        0.0   \n",
       "\n",
       "   dst_railsubway_density_km      spath        epath   circuit  \n",
       "0                        0.0  10504.058  6549.172599  1.603876  \n",
       "1                        0.0  10226.499  9733.047387  1.050699  \n",
       "2                        0.0   8465.565  7501.845296  1.128464  \n",
       "3                        0.0   9694.971  8490.096313  1.141915  \n",
       "4                        0.0   5718.957  5272.930256  1.084588  \n",
       "\n",
       "[5 rows x 53 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## calculate the circuit by the shortest path and Euclidean distance\n",
    "df_Q1['circuit']=df_Q1['spath']/df_Q1['epath']\n",
    "df_Q1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 47203 entries, 0 to 47383\n",
      "Data columns (total 34 columns):\n",
      "Origin Movement ID                           47203 non-null int64\n",
      "Destination Movement ID                      47203 non-null int64\n",
      "Mean Travel Time (Seconds)                   47203 non-null int64\n",
      "Range - Lower Bound Travel Time (Seconds)    47203 non-null int64\n",
      "Range - Upper Bound Travel Time (Seconds)    47203 non-null int64\n",
      "Date                                         47203 non-null datetime64[ns]\n",
      "AWND                                         47203 non-null float64\n",
      "PRCP                                         47203 non-null float64\n",
      "SNOW                                         47203 non-null float64\n",
      "SNWD                                         47203 non-null float64\n",
      "TAVG                                         47203 non-null int64\n",
      "TMAX                                         47203 non-null int64\n",
      "TMIN                                         47203 non-null int64\n",
      "WSF2                                         47203 non-null float64\n",
      "WSF5                                         46687 non-null float64\n",
      "WT01                                         15667 non-null float64\n",
      "WT02                                         2577 non-null float64\n",
      "WT03                                         535 non-null float64\n",
      "WT04                                         1024 non-null float64\n",
      "WT05                                         0 non-null float64\n",
      "WT06                                         523 non-null float64\n",
      "WT08                                         1044 non-null float64\n",
      "WT09                                         496 non-null float64\n",
      "Month                                        47203 non-null int32\n",
      "DOW                                          47203 non-null int32\n",
      "dst_graph_area_m                             47203 non-null float64\n",
      "dst_clean_intersection_density_km            47203 non-null float64\n",
      "dst_street_density_km                        47203 non-null float64\n",
      "src_mxbc_node                                47203 non-null int64\n",
      "dst_mxbc_node                                47203 non-null int64\n",
      "dst_railsubway_density_km                    47203 non-null float64\n",
      "spath                                        47203 non-null float64\n",
      "epath                                        47203 non-null float64\n",
      "circuit                                      47203 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(21), int32(2), int64(10)\n",
      "memory usage: 13.5 MB\n"
     ]
    }
   ],
   "source": [
    "dropcol=[\n",
    "'Origin Display Name',\n",
    "'Destination Display Name',\n",
    "'Date Range',\n",
    "'src_geometry',\n",
    "'dst_geometry',\n",
    "'src_graph_area_m',\n",
    "'src_clean_intersection_count',\n",
    "'dst_clean_intersection_count',\n",
    "'src_clean_intersection_density_km',\n",
    "'src_street_length_total',\n",
    "'dst_street_length_total',\n",
    "'src_street_density_km',\n",
    "'src_centroid',\n",
    "'dst_centroid',\n",
    "'src_railway',\n",
    "'dst_railway',\n",
    "'src_railsubway_density_km',\n",
    "'src_centrnode',\n",
    "'dst_centrnode'\n",
    "]\n",
    "df_Q11=df_Q1.drop(dropcol,axis=1)\n",
    "df_Q11.info()\n",
    "df_Q11.to_csv('G:/My Drive/Uber movement/Codes and datasets/Datasets/DC_2018Q1_clean.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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