EDA_InitialValidation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA: Calculating Distances between Census Tracts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import warnings\n",
    "\n",
    "%pylab inline\n",
    "\n",
    "#suppress warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/projects/mpi/shared/Data'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#set working directory\n",
    "os.chdir('/projects/mpi/shared/Data')\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import census tract file\n",
    "shapes = gpd.read_file('all_cts.shp')\n",
    "\n",
    "#import trip files\n",
    "nyc = pd.read_csv('ny_ct.csv')\n",
    "chic = pd.read_csv('chic_ct.csv')\n",
    "sf = pd.read_csv('sf_ct.csv')\n",
    "la = pd.read_csv('la_ct.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get centroid of each census tract\n",
    "shapes['points'] = shapes['geometry'].centroid\n",
    "\n",
    "#just keep the columns needed\n",
    "points = shapes[['GEOID','points']]\n",
    "\n",
    "#extract the lat-lon points from points column\n",
    "points['lon'] = points['points'].apply(lambda p: p.x)\n",
    "points['lat'] = points['points'].apply(lambda p: p.y)\n",
    "\n",
    "#set geoid column as int before joining to OD data\n",
    "points['GEOID'] = points['GEOID'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#join lat-lon to OD file\n",
    "df_list = [nyc,chic,sf,la]\n",
    "\n",
    "new_df_list = []\n",
    "\n",
    "for df in df_list:\n",
    "    df = pd.merge(left=df,right=points,left_on='origin_ct',right_on='GEOID')\n",
    "    df.drop(['GEOID','points'],axis=1,inplace=True)\n",
    "    df.rename({'lon':'origin_lon','lat':'origin_lat'},axis=1,inplace=True)\n",
    "\n",
    "    df = pd.merge(left=df,right=points,left_on='dest_ct',right_on='GEOID')\n",
    "    df.drop(['GEOID','points'],axis=1,inplace=True)\n",
    "    df.rename({'lon':'dest_lon','lat':'dest_lat'},axis=1,inplace=True)\n",
    "\n",
    "    #df['dist'] = haversine_distance(df['origin_lon'],df['origin_lat'],df['dest_lon'],df['dest_lat'])\n",
    "\n",
    "    new_df_list.append(df)\n",
    "\n",
    "nyc = new_df_list[0]\n",
    "chic = new_df_list[1]\n",
    "sf = new_df_list[2]\n",
    "la = new_df_list[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function for measuring distance between origin and destination\n",
    "def haversine_distance(lon1, lat1, lon2, lat2):\n",
    "    \"\"\"\n",
    "    Calculate the great circle distance between two points\n",
    "    on the earth (specified in decimal degrees)\n",
    "    \"\"\"\n",
    "    lon1, lat1, lon2, lat2 = map(np.radians, [lon1, lat1, lon2, lat2])\n",
    "\n",
    "    dlon = lon2 - lon1\n",
    "    dlat = lat2 - lat1\n",
    "\n",
    "    a = np.sin(dlat/2.0)**2 + np.cos(lat1) * np.cos(lat2) * np.sin(dlon/2.0)**2\n",
    "\n",
    "    c = 2 * np.arcsin(np.sqrt(a))\n",
    "    km = 6367 * c\n",
    "    return km"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#add distance column for each city\n",
    "nyc['dist'] = haversine_distance(nyc['origin_lon'],nyc['origin_lat'],nyc['dest_lon'],nyc['dest_lat'])\n",
    "chic['dist'] = haversine_distance(chic['origin_lon'],chic['origin_lat'],chic['dest_lon'],chic['dest_lat'])\n",
    "la['dist'] = haversine_distance(la['origin_lon'],la['origin_lat'],la['dest_lon'],la['dest_lat'])\n",
    "sf['dist'] = haversine_distance(sf['origin_lon'],sf['origin_lat'],sf['dest_lon'],sf['dest_lat'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram of Trip Distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,12))\n",
    "ax1 = fig.add_subplot(221)\n",
    "\n",
    "ax1.set_ylabel(\"Number of Trips\")\n",
    "ax1.set_xlabel(\"Distance (km)\")\n",
    "ax1.set_title(\"NYC Distribution of Trips by Distance\")\n",
    "ax1.hist(nyc['dist'],bins=50,weights=nyc['od_counts'],color='green')\n",
    "ax1.text(x=320,y=18000000,s=\"Mean trip distance = {}km\".format(round((nyc['dist'].sum()) / (nyc['od_counts'].sum()),2)))\n",
    "ax1.text(x=320,y=19000000,s=\"Total Trip Count = {}M\".format(round(nyc['od_counts'].sum() / 1000000,2)))\n",
    "ax1.get_yaxis().get_major_formatter().set_scientific(False)\n",
    "\n",
    "ax2 = fig.add_subplot(222)\n",
    "\n",
    "ax2.set_ylabel(\"Number of Trips\")\n",
    "ax2.set_xlabel(\"Distance (km)\")\n",
    "ax2.set_title(\"LA Distribution of Trips by Distance\")\n",
    "ax2.hist(la['dist'],bins=50,weights=la['od_counts'],color='red')\n",
    "ax2.text(x=220,y=7000000,s=\"Mean trip distance = {}km\".format(round((la['dist'].sum()) / (la['od_counts'].sum()),2)))\n",
    "ax2.text(x=220,y=6600000,s=\"Total Trip Count = {}M\".format(round(la['od_counts'].sum() / 1000000,2)))\n",
    "\n",
    "ax3 = fig.add_subplot(223)\n",
    "\n",
    "ax3.set_ylabel(\"Number of Trips\")\n",
    "ax3.set_xlabel(\"Distance (km)\")\n",
    "ax3.set_title(\"SF Distribution of Trips by Distance\")\n",
    "ax3.hist(sf['dist'],bins=50,weights=sf['od_counts'],color='yellow')\n",
    "ax3.text(x=180,y=1200000,s=\"Mean trip distance = {}km\".format(round((sf['dist'].sum()) / (sf['od_counts'].sum()),2)))\n",
    "ax3.text(x=180,y=1150000,s=\"Total Trip Count = {}M\".format(round(sf['od_counts'].sum() / 1000000,2)))\n",
    "\n",
    "ax4 = fig.add_subplot(224)\n",
    "\n",
    "ax4.set_ylabel(\"Number of Trips\")\n",
    "ax4.set_xlabel(\"Distance (km)\")\n",
    "ax4.set_title(\"Chicago Distribution of Trips by Distance\")\n",
    "ax4.hist(chic['dist'],bins=50,color='blue')\n",
    "ax4.text(x=220,y=380000,s=\"Mean trip distance = {}km\".format(round((chic['dist'].sum()) / (chic['od_counts'].sum()),2)))\n",
    "ax4.text(x=220,y=360000,s=\"Total Trip Count = {}M\".format(round(chic['od_counts'].sum() / 1000000,2)))\n",
    "\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Layered Histogram for All Cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate figure\n",
    "fig = plt.figure(figsize=(15,8))\n",
    "ax1 = fig.add_subplot(111)\n",
    "\n",
    "ax1.set_ylabel(\"Number of Trips\")\n",
    "ax1.set_xlabel(\"Distance (km)\")\n",
    "ax1.set_title(\"Distribution of Trips by Distance (All Cities)\")\n",
    "ax1.hist(nyc['dist'],bins=50,weights=nyc['od_counts'],color='green',alpha=0.2,label='NYC')\n",
    "ax1.hist(la['dist'],bins=50,weights=la['od_counts'],color='blue',alpha=0.3,label='LA')\n",
    "ax1.hist(sf['dist'],bins=50,weights=sf['od_counts'],color='grey',alpha=1,label='SF')\n",
    "ax1.hist(chic['dist'],bins=50,weights=chic['od_counts'],color='yellow',alpha=0.4,label='Chic')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Box and Whisker Plots of Distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate list of values weighted based on number of trips\n",
    "nyc_weighted = []\n",
    "for index, row in nyc.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    nyc_weighted += weighted_row\n",
    "\n",
    "la_weighted = []\n",
    "for index, row in la.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    la_weighted += weighted_row\n",
    "\n",
    "chic_weighted = []\n",
    "for index, row in chic.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    chic_weighted += weighted_row\n",
    "    \n",
    "sf_weighted = []\n",
    "for index, row in sf.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    sf_weighted += weighted_row\n",
    "    \n",
    "#concat data\n",
    "data = [nyc_weighted,la_weighted,chic_weighted,sf_weighted]\n",
    "green_diamond = dict(markerfacecolor='g', marker='D',)\n",
    "\n",
    "fig = plt.figure(figsize=(15,10))\n",
    "ax1 = fig.add_subplot(111)\n",
    "ax1.boxplot(data,showfliers=True,flierprops=green_diamond)\n",
    "ax1.set_xlabel(\"City Name\")\n",
    "ax1.set_ylabel(\"Trip Distance (km)\")\n",
    "\n",
    "plt.title(\"Box and Whisker Plot of Trip Distance by City\")\n",
    "plt.xticks([1,2,3,4], ['NYC','LA','CHIC','SF'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate list of values weighted based on number of trips\n",
    "nyc_weighted = []\n",
    "for index, row in nyc.iterrows():\n",
    "    weighted_row = [row['dist']] * row['od_counts']\n",
    "    nyc_weighted += weighted_row\n",
    "\n",
    "la_weighted = []\n",
    "for index, row in la.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    la_weighted += weighted_row\n",
    "\n",
    "chic_weighted = []\n",
    "for index, row in chic.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    chic_weighted += weighted_row\n",
    "    \n",
    "sf_weighted = []\n",
    "for index, row in sf.iterrows():\n",
    "    weighted_row = [row['dist']]*row['od_counts']\n",
    "    sf_weighted += weighted_row\n",
    "    \n",
    "#concat data\n",
    "data = [nyc_weighted,la_weighted,chic_weighted,sf_weighted]\n",
    "green_diamond = dict(markerfacecolor='g', marker='D',)\n",
    "\n",
    "fig = plt.figure(figsize=(15,10))\n",
    "ax1 = fig.add_subplot(111)\n",
    "ax1.boxplot(data,showfliers=False)\n",
    "ax1.set_xlabel(\"City Name\")\n",
    "ax1.set_ylabel(\"Trip Distance (km)\")\n",
    "\n",
    "plt.title(\"Box and Whisker Plot of Trip Distance by City\")\n",
    "plt.xticks([1,2,3,4], ['NYC','LA','CHIC','SF'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Distance by Decile and City"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create deciles dataframes from \n",
    "df_list = [nyc_weighted,la_weighted,sf_weighted,chic_weighted]\n",
    "decile_list = []\n",
    "for i in df_list:\n",
    "    df = pd.DataFrame(i)\n",
    "    df['decile'] = pd.qcut(df[0],10,labels=False)\n",
    "    decile_df = pd.DataFrame(round(df.groupby('decile')[0].median(),2))\n",
    "    decile_df.reset_index(inplace=True)\n",
    "    decile_list.append(decile_df)\n",
    "\n",
    "nyc_decile = decile_list[0]\n",
    "la_decile = decile_list[1]\n",
    "sf_decile = decile_list[2]\n",
    "chic_decile = decile_list[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#create figures\n",
    "fig = plt.figure(figsize=(15,12))\n",
    "\n",
    "ax1 = fig.add_subplot(221)\n",
    "ax1.bar(x=nyc_decile['decile'],height=nyc_decile[0],color='green')\n",
    "ax1.set_xlabel(\"Distance Traveled Decile\")\n",
    "ax1.set_ylabel(\"Median Distance Traveled (km)\")\n",
    "ax1.set_title(\"NYC Median Distance by Distance Decile\")\n",
    "ax1.set_xticks([0,1,2,3,4,5,6,7,8,9])\n",
    "ax1.set_xticklabels([1,2,3,4,5,6,7,8,9,10])\n",
    "\n",
    "for i, v in enumerate(list(nyc_decile[0])):\n",
    "    ax1.text(i - 0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax2 = fig.add_subplot(222)\n",
    "ax2.bar(x=la_decile['decile'],height=la_decile[0],color='red')\n",
    "ax2.set_xlabel(\"Distance Traveled Decile\")\n",
    "ax2.set_ylabel(\"Median Distance Traveled (km)\")\n",
    "ax2.set_title(\"LA Median Distance by Distance Decile\")\n",
    "ax2.set_xticks([0,1,2,3,4,5,6,7,8,9])\n",
    "ax2.set_xticklabels([1,2,3,4,5,6,7,8,9,10])\n",
    "\n",
    "for i, v in enumerate(list(la_decile[0])):\n",
    "    ax2.text(i - 0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax3 = fig.add_subplot(223)\n",
    "ax3.bar(x=sf_decile['decile'],height=sf_decile[0],color='yellow')\n",
    "ax3.set_xlabel(\"Distance Traveled Decile\")\n",
    "ax3.set_ylabel(\"Median Distance Traveled (km)\")\n",
    "ax3.set_title(\"SF Median Distance by Distance Decile\")\n",
    "ax3.set_xticks([0,1,2,3,4,5,6,7,8,9])\n",
    "ax3.set_xticklabels([1,2,3,4,5,6,7,8,9,10])\n",
    "\n",
    "for i, v in enumerate(list(sf_decile[0])):\n",
    "    ax3.text(i - 0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax4 = fig.add_subplot(224)\n",
    "ax4.bar(x=chic_decile['decile'],height=chic_decile[0],color='blue')\n",
    "ax4.set_xlabel(\"Distance Traveled Decile\")\n",
    "ax4.set_ylabel(\"Median Distance Traveled (km)\")\n",
    "ax4.set_title(\"Chicago Median Distance by Distance Decile\")\n",
    "ax4.set_xticks([0,1,2,3,4,5,6,7,8,9])\n",
    "ax4.set_xticklabels([1,2,3,4,5,6,7,8,9,10])\n",
    "\n",
    "for i, v in enumerate(list(chic_decile[0])):\n",
    "    ax4.text(i - 0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Counts of Trips by Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def time_num(row):\n",
    "    \"\"\"function to convert time period to a numeric value\"\"\"\n",
    "    if row['time_period']=='6:00 - 6:30':\n",
    "        return 1\n",
    "    elif row['time_period']=='6:30 - 7:00':\n",
    "        return 2\n",
    "    elif row['time_period']=='7:00 - 7:30':\n",
    "        return 3\n",
    "    elif row['time_period']=='7:30 - 8:00':\n",
    "        return 4\n",
    "    elif row['time_period']=='8:00 - 8:30':\n",
    "        return 5\n",
    "    elif row['time_period']=='8:30 - 9:00':\n",
    "        return 6\n",
    "    elif row['time_period']=='9:00 - 9:30':\n",
    "        return 7\n",
    "    elif row['time_period']=='9:30 - 10:00':\n",
    "        return 8\n",
    "    else:\n",
    "        return 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "nyc['time_period2'] = nyc.apply(lambda x: time_num(x),axis=1)\n",
    "la['time_period2'] = la.apply(lambda x: time_num(x),axis=1)\n",
    "chic['time_period2'] = chic.apply(lambda x: time_num(x),axis=1)\n",
    "sf['time_period2'] = sf.apply(lambda x: time_num(x),axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#generate data frames for plotting by time\n",
    "df_list = [nyc,la,sf,chic]\n",
    "time_counts = []\n",
    "for i in df_list:\n",
    "    df = pd.DataFrame(i.groupby('time_period2')['od_counts'].sum())\n",
    "    df.reset_index(inplace=True)\n",
    "    time_counts.append(df)\n",
    "\n",
    "nyc_time = time_counts[0]\n",
    "la_time = time_counts[1]\n",
    "sf_time = time_counts[2]\n",
    "chic_time = time_counts[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#create figures\n",
    "fig = plt.figure(figsize=(18,12))\n",
    "\n",
    "ax1 = fig.add_subplot(221)\n",
    "ax1.bar(x=nyc_time['time_period2'],height=nyc_time['od_counts'],color='green')\n",
    "ax1.set_xlabel(\"Time Period\")\n",
    "ax1.set_ylabel(\"Number of Trips\")\n",
    "ax1.set_title(\"NYC Number of Trips by Time Period\")\n",
    "ax1.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax1.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(nyc_time['od_counts'])):\n",
    "    ax1.text(i+0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax2 = fig.add_subplot(222)\n",
    "ax2.bar(x=la_time['time_period2'],height=la_time['od_counts'],color='red')\n",
    "ax2.set_xlabel(\"Distance Traveled Decile\")\n",
    "ax2.set_ylabel(\"Median Distance Traveled (km)\")\n",
    "ax2.set_title(\"LA Median Distance by Distance Decile\")\n",
    "ax2.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax2.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(la_time['od_counts'])):\n",
    "    ax2.text(i+0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax3 = fig.add_subplot(223)\n",
    "ax3.bar(x=sf_time['time_period2'],height=sf_time['od_counts'],color='yellow')\n",
    "ax3.set_xlabel(\"Distance Traveled Decile\")\n",
    "ax3.set_ylabel(\"Number of Trips\")\n",
    "ax3.set_title(\"SF Number of Trips by Time Period\")\n",
    "ax3.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax3.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(sf_time['od_counts'])):\n",
    "    ax3.text(i+0.5,v+4, str(v), fontweight='bold')\n",
    "\n",
    "ax4 = fig.add_subplot(224)\n",
    "ax4.bar(x=chic_time['time_period2'],height=chic_time['od_counts'],color='blue')\n",
    "ax4.set_xlabel(\"Time Period\")\n",
    "ax4.set_ylabel(\"Number of Trips\")\n",
    "ax4.set_title(\"Chicago Number of Trips by Time Period\")\n",
    "ax4.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax4.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(chic_time['od_counts'])):\n",
    "    ax4.text(i+0.5,v + 6, str(v), fontweight='bold')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution of Trip Volume By Start Location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "nyc_start = pd.DataFrame(nyc.groupby('origin_ct')['od_counts'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Number of Trips Started per Day 56.222998718247496\n",
      "4\n",
      "84047\n",
      "4724.0\n"
     ]
    }
   ],
   "source": [
    "print(\"Average Number of Trips Started per Day {}\".format(nyc_start['od_counts'].mean() / 120))\n",
    "print(nyc_start['od_counts'].min())\n",
    "print(nyc_start['od_counts'].max())\n",
    "print(nyc_start['od_counts'].median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,12))\n",
    "ax1 = fig.add_subplot(221)\n",
    "\n",
    "ax1.set_ylabel(\"Number of Census Tracts\")\n",
    "ax1.set_xlabel(\"Number of Trips Started\")\n",
    "ax1.set_title(\"Histogram of Number of Trips Started by Census Tract\")\n",
    "ax1.hist(nyc_start['od_counts'],bins=40,color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter Records based on Lat-Lon Bounding Boxes and Speed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#defined based on bounding box\n",
    "nyc_lon_min = -74.451599\n",
    "nyc_lon_max = -72.784424\n",
    "nyc_lat_min = 40.423951\n",
    "nyc_lat_max = 41.391234"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#nyc cleaned dataframe\n",
    "nyc_clean = nyc[(nyc['origin_lon']>nyc_lon_min)&(nyc['origin_lon']<nyc_lon_max)&(nyc['dest_lon']>nyc_lon_min) \\\n",
    "               &(nyc['dest_lon']<nyc_lon_max)&(nyc['origin_lat']>nyc_lat_min)&(nyc['origin_lat']<nyc_lat_max) \\\n",
    "                &(nyc['dest_lat']>nyc_lat_min)&(nyc['dest_lat']<nyc_lat_max)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define chicago bounding box parameters\n",
    "chic_lon_min = -88.393250\n",
    "chic_lon_max = -86.800232\n",
    "chic_lat_min = 41.403596\n",
    "chic_lat_max = 42.463993"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "#filter chicago dataframe\n",
    "chic_clean = chic[(chic['origin_lon']>chic_lon_min)&(chic['origin_lon']<chic_lon_max)&(chic['dest_lon']>chic_lon_min) \\\n",
    "               &(chic['dest_lon']<chic_lon_max)&(chic['origin_lat']>chic_lat_min)&(chic['origin_lat']<chic_lat_max) \\\n",
    "                &(chic['dest_lat']>chic_lat_min)&(chic['dest_lat']<chic_lat_max)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define SF bounding box parameters\n",
    "sf_lon_min = -122.695313\n",
    "sf_lon_max = -121.679077\n",
    "sf_lat_min = 37.197518\n",
    "sf_lat_max = 37.981010"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#filter SF data frame\n",
    "sf_clean = sf[(sf['origin_lon']>sf_lon_min)&(sf['origin_lon']<sf_lon_max)&(sf['dest_lon']>sf_lon_min) \\\n",
    "               &(sf['dest_lon']<sf_lon_max)&(sf['origin_lat']>sf_lat_min)&(sf['origin_lat']<sf_lat_max) \\\n",
    "                &(sf['dest_lat']>sf_lat_min)&(sf['dest_lat']<sf_lat_max)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define LA bounding box parameters\n",
    "la_lon_min = -118.795166\n",
    "la_lon_max = -116.900024\n",
    "la_lat_min = 33.415395\n",
    "la_lat_max = 34.440894"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "#filter LA dataframe\n",
    "la_clean = la[(la['origin_lon']>la_lon_min)&(la['origin_lon']<la_lon_max)&(la['dest_lon']>la_lon_min) \\\n",
    "               &(la['dest_lon']<la_lon_max)&(la['origin_lat']>la_lat_min)&(la['origin_lat']<la_lat_max) \\\n",
    "                &(la['dest_lat']>la_lat_min)&(la['dest_lat']<la_lat_max)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "#filter each dataframe based on speed\n",
    "nyc_clean['dist_per_hr'] = nyc_clean['dist'] * 2\n",
    "sf_clean['dist_per_hr'] = sf_clean['dist'] * 2\n",
    "la_clean['dist_per_hr'] = la_clean['dist'] * 2\n",
    "chic_clean['dist_per_hr'] = chic_clean['dist'] * 2\n",
    "\n",
    "nyc_clean = nyc_clean[nyc_clean['dist_per_hr'] < 120]\n",
    "sf_clean = sf_clean[sf_clean['dist_per_hr'] < 120]\n",
    "la_clean = la_clean[la_clean['dist_per_hr'] < 120]\n",
    "chic_clean = chic_clean[chic_clean['dist_per_hr'] < 120]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "#export dataframes as cleaned csv files\n",
    "sf_clean.to_csv('sf_clean.csv')\n",
    "nyc_clean.to_csv('nyc_clean.csv')\n",
    "la_clean.to_csv('la_clean.csv')\n",
    "chic_clean.to_csv('chic_clean.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA with Cleaned Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "sf_clean = pd.read_csv('sf_clean.csv')\n",
    "nyc_clean = pd.read_csv('nyc_clean.csv')\n",
    "la_clean = pd.read_csv('la_clean.csv')\n",
    "chic_clean = pd.read_csv('chic_clean.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Median Distance Traveled by City')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#median and average distance \n",
    "median_list = [nyc_clean['dist'].median(),sf_clean['dist'].median(),la_clean['dist'].median(),\n",
    "               chic_clean['dist'].median()]\n",
    "\n",
    "city_list = ['NYC','SF','LA','CHIC']\n",
    "\n",
    "fig = plt.figure(figsize=(10,8))\n",
    "ax1 = fig.add_subplot(111)\n",
    "\n",
    "ax1.bar(x=city_list,height=median_list,color='green')\n",
    "ax1.set_xlabel(\"City\")\n",
    "ax1.set_ylabel(\"Median Distance Traveled (km)\")\n",
    "ax1.set_title(\"Median Distance Traveled by City\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#distribution plots of distance travelled \n",
    "fig = plt.figure(figsize=(15,12))\n",
    "ax1 = fig.add_subplot(221)\n",
    "\n",
    "ax1.set_ylabel(\"Number of Trips\")\n",
    "ax1.set_xlabel(\"Distance (km)\")\n",
    "ax1.set_title(\"NYC Distribution of Trips by Distance\")\n",
    "ax1.hist(nyc_clean['dist'],bins=50,weights=nyc_clean['od_counts'],color='green')\n",
    "ax1.text(x=35,y=2500000,s=\"Mean trip distance = {}km\".format(round((nyc_clean['dist'].sum()) / (nyc_clean['od_counts'].sum()),2)))\n",
    "ax1.text(x=35,y=2400000,s=\"Total Trip Count = {}M\".format(round(nyc_clean['od_counts'].sum() / 1000000,2)))\n",
    "ax1.get_yaxis().get_major_formatter().set_scientific(False)\n",
    "\n",
    "ax2 = fig.add_subplot(222)\n",
    "\n",
    "ax2.set_ylabel(\"Number of Trips\")\n",
    "ax2.set_xlabel(\"Distance (km)\")\n",
    "ax2.set_title(\"LA Distribution of Trips by Distance\")\n",
    "ax2.hist(la_clean['dist'],bins=50,weights=la_clean['od_counts'],color='red')\n",
    "ax2.text(x=35,y=1200000,s=\"Mean trip distance = {}km\".format(round((la_clean['dist'].sum()) / (la_clean['od_counts'].sum()),2)))\n",
    "ax2.text(x=35,y=1100000,s=\"Total Trip Count = {}M\".format(round(la_clean['od_counts'].sum() / 1000000,2)))\n",
    "\n",
    "ax3 = fig.add_subplot(223)\n",
    "\n",
    "ax3.set_ylabel(\"Number of Trips\")\n",
    "ax3.set_xlabel(\"Distance (km)\")\n",
    "ax3.set_title(\"SF Distribution of Trips by Distance\")\n",
    "ax3.hist(sf_clean['dist'],bins=50,weights=sf_clean['od_counts'],color='yellow')\n",
    "ax3.text(x=35,y=200000,s=\"Mean trip distance = {}km\".format(round((sf_clean['dist'].sum()) / (sf_clean['od_counts'].sum()),2)))\n",
    "ax3.text(x=35,y=190000,s=\"Total Trip Count = {}M\".format(round(sf_clean['od_counts'].sum() / 1000000,2)))\n",
    "\n",
    "ax4 = fig.add_subplot(224)\n",
    "\n",
    "ax4.set_ylabel(\"Number of Trips\")\n",
    "ax4.set_xlabel(\"Distance (km)\")\n",
    "ax4.set_title(\"Chicago Distribution of Trips by Distance\")\n",
    "ax4.hist(chic_clean['dist'],bins=50,color='blue')\n",
    "ax4.text(x=35,y=60000,s=\"Mean trip distance = {}km\".format(round((chic_clean['dist'].sum()) / (chic_clean['od_counts'].sum()),2)))\n",
    "ax4.text(x=35,y=57000,s=\"Total Trip Count = {}M\".format(round(chic_clean['od_counts'].sum() / 1000000,2)))\n",
    "\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "108.27"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(sum(initial_counts),2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(2, 55, 'Total Trips 66.76M')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot change in counts\n",
    "initial_counts = [59.7,9.71,27.32,11.54]\n",
    "cleaned_counts = [34.71,4.07,20.34,7.64]\n",
    "city_list = ['NYC','SF','LA','CHIC']\n",
    "\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "ax1 = fig.add_subplot(121)\n",
    "\n",
    "ax1.bar(x=city_list,height=initial_counts,color='blue')\n",
    "ax1.set_ylabel('Number of Trips')\n",
    "ax1.set_xlabel('City')\n",
    "ax1.set_ylim(top=65)\n",
    "ax1.set_title(\"Number of Trips Before Data Processing\")\n",
    "ax1.text(x=1.9,y=55,s=\"Total Trips {}M\".format(round(sum(initial_counts),2)))\n",
    "\n",
    "ax2 = fig.add_subplot(122)\n",
    "\n",
    "ax2.bar(x=city_list,height=cleaned_counts,color='green')\n",
    "ax2.set_ylabel('Number of Trips')\n",
    "ax2.set_xlabel('City')\n",
    "ax2.set_ylim(top=65)\n",
    "ax2.set_title(\"Number of Trips After Data Processing\")\n",
    "ax2.text(x=2,y=55,s='Total Trips {}M'.format(round(sum(cleaned_counts),2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#lists for rough calculations\n",
    "commute_times = [34.6,40.8,32.8,30.9]\n",
    "pop = [8398000,883000,3990000,2705000]\n",
    "cleaned_counts = [34710000,4070000,20340000,7640000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NYC 4.13312693498452\n",
      "SF 4.609286523216308\n",
      "LA 5.097744360902255\n",
      "CHIC 2.824399260628466\n"
     ]
    }
   ],
   "source": [
    "#print trips per person for each city\n",
    "for i in range(4):\n",
    "    print(city_list[i],cleaned_counts[i] / pop[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time Period Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_list = [nyc_clean,la_clean,sf_clean,chic_clean]\n",
    "time_counts = []\n",
    "for i in df_list:\n",
    "    df = pd.DataFrame(i.groupby('time_period2')['od_counts'].sum())\n",
    "    df.reset_index(inplace=True)\n",
    "    time_counts.append(df)\n",
    "\n",
    "nyc_time = time_counts[0]\n",
    "la_time = time_counts[1]\n",
    "sf_time = time_counts[2]\n",
    "chic_time = time_counts[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#create figures\n",
    "fig = plt.figure(figsize=(18,12))\n",
    "\n",
    "ax1 = fig.add_subplot(221)\n",
    "ax1.bar(x=nyc_time['time_period2'],height=nyc_time['od_counts'],color='green')\n",
    "ax1.set_xlabel(\"Time Period\")\n",
    "ax1.set_ylabel(\"Number of Trips\")\n",
    "ax1.set_title(\"NYC Number of Trips by Time Period\")\n",
    "ax1.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax1.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(nyc_time['od_counts'])):\n",
    "    ax1.text(i+0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax2 = fig.add_subplot(222)\n",
    "ax2.bar(x=la_time['time_period2'],height=la_time['od_counts'],color='red')\n",
    "ax2.set_xlabel(\"Time Period\")\n",
    "ax2.set_ylabel(\"Number of Trips\")\n",
    "ax2.set_title(\"LA  Number of Trips by Time Period\")\n",
    "ax2.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax2.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(la_time['od_counts'])):\n",
    "    ax2.text(i+0.5,v + 4, str(v), fontweight='bold')\n",
    "\n",
    "ax3 = fig.add_subplot(223)\n",
    "ax3.bar(x=sf_time['time_period2'],height=sf_time['od_counts'],color='yellow')\n",
    "ax3.set_xlabel(\"Time Period\")\n",
    "ax3.set_ylabel(\"Number of Trips\")\n",
    "ax3.set_title(\"SF Number of Trips by Time Period\")\n",
    "ax3.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax3.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(sf_time['od_counts'])):\n",
    "    ax3.text(i+0.5,v+4, str(v), fontweight='bold')\n",
    "\n",
    "ax4 = fig.add_subplot(224)\n",
    "ax4.bar(x=chic_time['time_period2'],height=chic_time['od_counts'],color='blue')\n",
    "ax4.set_xlabel(\"Time Period\")\n",
    "ax4.set_ylabel(\"Number of Trips\")\n",
    "ax4.set_title(\"Chicago Number of Trips by Time Period\")\n",
    "ax4.set_xticks([1,2,3,4,5,6,7,8,9])\n",
    "ax4.set_xticklabels([1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "for i, v in enumerate(list(chic_time['od_counts'])):\n",
    "    ax4.text(i+0.5,v + 6, str(v), fontweight='bold')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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