Project Proposal-JetBlue.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 355,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import numpy as np\n",
    "from geopy.distance import great_circle\n",
    "\n",
    "import folium\n",
    "\n",
    "import gmaps\n",
    "import gmaps.datasets\n",
    "\n",
    "api_key = 'API...'\n",
    "\n",
    "gmaps.configure(api_key=api_key)\n",
    "\n",
    "import googlemaps\n",
    "gm = googlemaps.Client(key=api_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data from: https://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236\n",
    "df = pd.read_csv('data/1702_378765078_T_ONTIME.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select only Delta flights only\n",
    "df = df[df['CARRIER']=='B6']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# considering only Tuesday Feb 7, 2017\n",
    "df = df[df['DAY_OF_MONTH']==7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop unnamed column\n",
    "df = df.loc[:, ~df.columns.str.contains('^Unnamed')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of active airplanes: 200\n",
      "number of destinations: 62\n",
      "number of flights in Feb 7, 2017: 788\n"
     ]
    }
   ],
   "source": [
    "print('number of active airplanes:', len(df['TAIL_NUM'].unique()))\n",
    "print('number of destinations:', len(df['DEST'].unique()))\n",
    "print('number of flights in Feb 7, 2017:', len(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "20\n",
      "30\n",
      "40\n",
      "50\n",
      "60\n",
      "70\n",
      "80\n",
      "90\n",
      "100\n",
      "110\n",
      "120\n",
      "130\n",
      "140\n",
      "150\n",
      "160\n",
      "170\n",
      "180\n",
      "190\n",
      "200\n"
     ]
    }
   ],
   "source": [
    "# dict of tail num to airplane type\n",
    "# run once\n",
    "'''tag_num_list = df['TAIL_NUM'].unique()\n",
    "tag_dict = {}\n",
    "for tag_ in tag_num_list:\n",
    "    page = requests.get('http://registry.faa.gov/aircraftinquiry/NNum_Results.aspx?NNumbertxt=' + tag_)\n",
    "    soup = BeautifulSoup(page.text, 'html.parser')\n",
    "    for line in soup.findAll('span', attrs={'id': 'content_Label7'}):\n",
    "        type_ = line.text.strip()\n",
    "    tag_dict[tag_] = type_\n",
    "    if len(tag_dict) % 10 == 0:\n",
    "        print(len(tag_dict))'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "'''pickle.dump( tag_dict, open(\"data/tag_dict_jb.p\", \"wb\"))'''\n",
    "\n",
    "# load data\n",
    "tag_dict = pickle.load( open( \"data/tag_dict_jb.p\", \"rb\" ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df['aircraft_type'] = df['TAIL_NUM'].map(tag_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>FL_DATE</th>\n",
       "      <th>CARRIER</th>\n",
       "      <th>TAIL_NUM</th>\n",
       "      <th>FL_NUM</th>\n",
       "      <th>ORIGIN</th>\n",
       "      <th>DEST</th>\n",
       "      <th>CRS_DEP_TIME</th>\n",
       "      <th>CRS_ARR_TIME</th>\n",
       "      <th>CANCELLED</th>\n",
       "      <th>CANCELLATION_CODE</th>\n",
       "      <th>DIVERTED</th>\n",
       "      <th>CRS_ELAPSED_TIME</th>\n",
       "      <th>DISTANCE</th>\n",
       "      <th>DISTANCE_GROUP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aircraft_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>182T</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A320-232</th>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>4</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "      <td>410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A321-231</th>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AT-802A</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DA 42</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOMINATOR</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERJ 190-100 IGW</th>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>3</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "      <td>290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FALCON 900 EX</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KODIAK 100</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M20S</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA-32R-301</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RV-7A</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SR22</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 YEAR  MONTH  DAY_OF_MONTH  DAY_OF_WEEK  FL_DATE  CARRIER  \\\n",
       "aircraft_type                                                               \n",
       "182T                3      3             3            3        3        3   \n",
       "510                 1      1             1            1        1        1   \n",
       "A320-232          410    410           410          410      410      410   \n",
       "A321-231           56     56            56           56       56       56   \n",
       "AT-802A             2      2             2            2        2        2   \n",
       "DA 42               3      3             3            3        3        3   \n",
       "DOMINATOR           2      2             2            2        2        2   \n",
       "ERJ 190-100 IGW   290    290           290          290      290      290   \n",
       "FALCON 900 EX       2      2             2            2        2        2   \n",
       "KODIAK 100          1      1             1            1        1        1   \n",
       "M20S                3      3             3            3        3        3   \n",
       "PA-32R-301          6      6             6            6        6        6   \n",
       "RV-7A               2      2             2            2        2        2   \n",
       "SR22                7      7             7            7        7        7   \n",
       "\n",
       "                 TAIL_NUM  FL_NUM  ORIGIN  DEST  CRS_DEP_TIME  CRS_ARR_TIME  \\\n",
       "aircraft_type                                                                 \n",
       "182T                    3       3       3     3             3             3   \n",
       "510                     1       1       1     1             1             1   \n",
       "A320-232              410     410     410   410           410           410   \n",
       "A321-231               56      56      56    56            56            56   \n",
       "AT-802A                 2       2       2     2             2             2   \n",
       "DA 42                   3       3       3     3             3             3   \n",
       "DOMINATOR               2       2       2     2             2             2   \n",
       "ERJ 190-100 IGW       290     290     290   290           290           290   \n",
       "FALCON 900 EX           2       2       2     2             2             2   \n",
       "KODIAK 100              1       1       1     1             1             1   \n",
       "M20S                    3       3       3     3             3             3   \n",
       "PA-32R-301              6       6       6     6             6             6   \n",
       "RV-7A                   2       2       2     2             2             2   \n",
       "SR22                    7       7       7     7             7             7   \n",
       "\n",
       "                 CANCELLED  CANCELLATION_CODE  DIVERTED  CRS_ELAPSED_TIME  \\\n",
       "aircraft_type                                                               \n",
       "182T                     3                  0         3                 3   \n",
       "510                      1                  0         1                 1   \n",
       "A320-232               410                  4       410               410   \n",
       "A321-231                56                  0        56                56   \n",
       "AT-802A                  2                  0         2                 2   \n",
       "DA 42                    3                  0         3                 3   \n",
       "DOMINATOR                2                  0         2                 2   \n",
       "ERJ 190-100 IGW        290                  3       290               290   \n",
       "FALCON 900 EX            2                  0         2                 2   \n",
       "KODIAK 100               1                  0         1                 1   \n",
       "M20S                     3                  0         3                 3   \n",
       "PA-32R-301               6                  0         6                 6   \n",
       "RV-7A                    2                  0         2                 2   \n",
       "SR22                     7                  0         7                 7   \n",
       "\n",
       "                 DISTANCE  DISTANCE_GROUP  \n",
       "aircraft_type                              \n",
       "182T                    3               3  \n",
       "510                     1               1  \n",
       "A320-232              410             410  \n",
       "A321-231               56              56  \n",
       "AT-802A                 2               2  \n",
       "DA 42                   3               3  \n",
       "DOMINATOR               2               2  \n",
       "ERJ 190-100 IGW       290             290  \n",
       "FALCON 900 EX           2               2  \n",
       "KODIAK 100              1               1  \n",
       "M20S                    3               3  \n",
       "PA-32R-301              6               6  \n",
       "RV-7A                   2               2  \n",
       "SR22                    7               7  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['aircraft_type']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove list small aircraft that are probably are being used for training\n",
    "# such as SR22, DA42, Cessna 182T, etc.\n",
    "\n",
    "df = df[(df['aircraft_type']=='A320-232')|(df['aircraft_type']=='A321-231')|(df['aircraft_type']=='ERJ 190-100 IGW')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "aircraft_capacity ={\n",
    "    'A320-232':150,\n",
    "    'A321-231':162,\n",
    "    'ERJ 190-100 IGW':100,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['aircraft_capacity'] = df['aircraft_type'].map(aircraft_capacity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [],
   "source": [
    "### ASSUMPTION same size aircraft###\n",
    "aircraft_passengers ={\n",
    "    'A320-232':100,\n",
    "    'A321-231':100,\n",
    "    'ERJ 190-100 IGW':100,\n",
    "}\n",
    "df['aircraft_passengers'] = df['aircraft_type'].map(aircraft_passengers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>FL_DATE</th>\n",
       "      <th>CARRIER</th>\n",
       "      <th>TAIL_NUM</th>\n",
       "      <th>FL_NUM</th>\n",
       "      <th>ORIGIN</th>\n",
       "      <th>DEST</th>\n",
       "      <th>...</th>\n",
       "      <th>CANCELLED</th>\n",
       "      <th>CANCELLATION_CODE</th>\n",
       "      <th>DIVERTED</th>\n",
       "      <th>CRS_ELAPSED_TIME</th>\n",
       "      <th>DISTANCE</th>\n",
       "      <th>DISTANCE_GROUP</th>\n",
       "      <th>aircraft_type</th>\n",
       "      <th>aircraft_capacity</th>\n",
       "      <th>ORIGIN_m</th>\n",
       "      <th>aircraft_passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N249JB</td>\n",
       "      <td>33</td>\n",
       "      <td>BTV</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BTV</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N249JB</td>\n",
       "      <td>34</td>\n",
       "      <td>JFK</td>\n",
       "      <td>BTV</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N766JB</td>\n",
       "      <td>42</td>\n",
       "      <td>LGB</td>\n",
       "      <td>RNO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>2</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>LGB</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N766JB</td>\n",
       "      <td>43</td>\n",
       "      <td>RNO</td>\n",
       "      <td>LGB</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>2</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>RNO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N316JB</td>\n",
       "      <td>49</td>\n",
       "      <td>BOS</td>\n",
       "      <td>SAV</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>901.0</td>\n",
       "      <td>4</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N316JB</td>\n",
       "      <td>50</td>\n",
       "      <td>SAV</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>901.0</td>\n",
       "      <td>4</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>SAV</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N623JB</td>\n",
       "      <td>51</td>\n",
       "      <td>BOS</td>\n",
       "      <td>MCO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>1121.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N527JB</td>\n",
       "      <td>52</td>\n",
       "      <td>MCO</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>1121.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>MCO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N913JB</td>\n",
       "      <td>54</td>\n",
       "      <td>PBI</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>1028.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A321-231</td>\n",
       "      <td>162</td>\n",
       "      <td>PBI</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N179JB</td>\n",
       "      <td>56</td>\n",
       "      <td>IAD</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>IAD</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N179JB</td>\n",
       "      <td>57</td>\n",
       "      <td>BOS</td>\n",
       "      <td>IAD</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N648JB</td>\n",
       "      <td>61</td>\n",
       "      <td>BOS</td>\n",
       "      <td>SJU</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>1674.0</td>\n",
       "      <td>7</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N621JB</td>\n",
       "      <td>62</td>\n",
       "      <td>PBI</td>\n",
       "      <td>LGA</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>1035.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>PBI</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N809JB</td>\n",
       "      <td>69</td>\n",
       "      <td>BOS</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>1237.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N639JB</td>\n",
       "      <td>71</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SLC</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>8</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N630JB</td>\n",
       "      <td>72</td>\n",
       "      <td>SLC</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>8</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>SLC</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N317JB</td>\n",
       "      <td>76</td>\n",
       "      <td>MSY</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>1182.0</td>\n",
       "      <td>5</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>MSY</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N298JB</td>\n",
       "      <td>79</td>\n",
       "      <td>DCA</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>899.0</td>\n",
       "      <td>4</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>DCA</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N265JB</td>\n",
       "      <td>85</td>\n",
       "      <td>BUF</td>\n",
       "      <td>MCO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>1011.0</td>\n",
       "      <td>5</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BUF</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N649JB</td>\n",
       "      <td>87</td>\n",
       "      <td>ALB</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>1204.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>ALB</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N649JB</td>\n",
       "      <td>88</td>\n",
       "      <td>FLL</td>\n",
       "      <td>ALB</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>1204.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>FLL</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N659JB</td>\n",
       "      <td>89</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SAN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>378.0</td>\n",
       "      <td>2446.0</td>\n",
       "      <td>10</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N659JB</td>\n",
       "      <td>90</td>\n",
       "      <td>SAN</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>2446.0</td>\n",
       "      <td>10</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>SAN</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N955JB</td>\n",
       "      <td>97</td>\n",
       "      <td>JFK</td>\n",
       "      <td>DEN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>1626.0</td>\n",
       "      <td>7</td>\n",
       "      <td>A321-231</td>\n",
       "      <td>162</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N955JB</td>\n",
       "      <td>98</td>\n",
       "      <td>DEN</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>1626.0</td>\n",
       "      <td>7</td>\n",
       "      <td>A321-231</td>\n",
       "      <td>162</td>\n",
       "      <td>DEN</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N519JB</td>\n",
       "      <td>100</td>\n",
       "      <td>LAX</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>2342.0</td>\n",
       "      <td>10</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>LGB</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N519JB</td>\n",
       "      <td>101</td>\n",
       "      <td>FLL</td>\n",
       "      <td>LAX</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>355.0</td>\n",
       "      <td>2342.0</td>\n",
       "      <td>10</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>FLL</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N238JB</td>\n",
       "      <td>105</td>\n",
       "      <td>JFK</td>\n",
       "      <td>ORD</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>740.0</td>\n",
       "      <td>3</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N527JB</td>\n",
       "      <td>107</td>\n",
       "      <td>SEA</td>\n",
       "      <td>LGB</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>965.0</td>\n",
       "      <td>4</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>SEA</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>962</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N206JB</td>\n",
       "      <td>108</td>\n",
       "      <td>JFK</td>\n",
       "      <td>PWM</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408324</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N706JB</td>\n",
       "      <td>2288</td>\n",
       "      <td>SFO</td>\n",
       "      <td>LAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>2</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>SFO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408352</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N640JB</td>\n",
       "      <td>2289</td>\n",
       "      <td>DTW</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>1127.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>DTW</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408380</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N238JB</td>\n",
       "      <td>2301</td>\n",
       "      <td>BUF</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BUF</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408407</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N374JB</td>\n",
       "      <td>2302</td>\n",
       "      <td>JFK</td>\n",
       "      <td>BUF</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408434</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N339JB</td>\n",
       "      <td>2324</td>\n",
       "      <td>MCO</td>\n",
       "      <td>DCA</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>759.0</td>\n",
       "      <td>4</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>MCO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408468</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N373JB</td>\n",
       "      <td>2379</td>\n",
       "      <td>BOS</td>\n",
       "      <td>EWR</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408496</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N373JB</td>\n",
       "      <td>2380</td>\n",
       "      <td>EWR</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408512</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N307JB</td>\n",
       "      <td>2401</td>\n",
       "      <td>BUF</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BUF</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408540</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N307JB</td>\n",
       "      <td>2402</td>\n",
       "      <td>JFK</td>\n",
       "      <td>BUF</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408568</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N535JB</td>\n",
       "      <td>2416</td>\n",
       "      <td>AUS</td>\n",
       "      <td>MCO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>4</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>AUS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408596</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N796JB</td>\n",
       "      <td>2417</td>\n",
       "      <td>MCO</td>\n",
       "      <td>AUS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>4</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>MCO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408624</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N579JB</td>\n",
       "      <td>2465</td>\n",
       "      <td>BUF</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>1166.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>BUF</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408652</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N828JB</td>\n",
       "      <td>2466</td>\n",
       "      <td>FLL</td>\n",
       "      <td>BUF</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>1166.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>FLL</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408681</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N954JB</td>\n",
       "      <td>2504</td>\n",
       "      <td>SJU</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>1598.0</td>\n",
       "      <td>7</td>\n",
       "      <td>A321-231</td>\n",
       "      <td>162</td>\n",
       "      <td>SJU</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408695</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N179JB</td>\n",
       "      <td>2579</td>\n",
       "      <td>BOS</td>\n",
       "      <td>EWR</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408711</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N179JB</td>\n",
       "      <td>2580</td>\n",
       "      <td>EWR</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408739</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N665JB</td>\n",
       "      <td>2589</td>\n",
       "      <td>LAS</td>\n",
       "      <td>SFO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>2</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>LAS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408766</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N374JB</td>\n",
       "      <td>2601</td>\n",
       "      <td>BUF</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BUF</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408780</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N238JB</td>\n",
       "      <td>2602</td>\n",
       "      <td>JFK</td>\n",
       "      <td>BUF</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408808</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N267JB</td>\n",
       "      <td>2615</td>\n",
       "      <td>JAX</td>\n",
       "      <td>FLL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JAX</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408835</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N267JB</td>\n",
       "      <td>2616</td>\n",
       "      <td>FLL</td>\n",
       "      <td>JAX</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>FLL</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408861</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N328JB</td>\n",
       "      <td>2679</td>\n",
       "      <td>BOS</td>\n",
       "      <td>EWR</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408886</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N328JB</td>\n",
       "      <td>2680</td>\n",
       "      <td>EWR</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408902</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N665JB</td>\n",
       "      <td>2689</td>\n",
       "      <td>LAS</td>\n",
       "      <td>SFO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>2</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>LAS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408930</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N307JB</td>\n",
       "      <td>2701</td>\n",
       "      <td>BUF</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BUF</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408969</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N346JB</td>\n",
       "      <td>2783</td>\n",
       "      <td>BOS</td>\n",
       "      <td>RDU</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>3</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>BOS</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408992</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N265JB</td>\n",
       "      <td>2784</td>\n",
       "      <td>RDU</td>\n",
       "      <td>BOS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>3</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>RDU</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409018</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N351JB</td>\n",
       "      <td>2807</td>\n",
       "      <td>PWM</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>2</td>\n",
       "      <td>ERJ 190-100 IGW</td>\n",
       "      <td>100</td>\n",
       "      <td>PWM</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409054</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N588JB</td>\n",
       "      <td>2853</td>\n",
       "      <td>JFK</td>\n",
       "      <td>PBI</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>1028.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>JFK</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409058</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-02-07</td>\n",
       "      <td>B6</td>\n",
       "      <td>N588JB</td>\n",
       "      <td>2854</td>\n",
       "      <td>PBI</td>\n",
       "      <td>JFK</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>1028.0</td>\n",
       "      <td>5</td>\n",
       "      <td>A320-232</td>\n",
       "      <td>150</td>\n",
       "      <td>PBI</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>756 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        YEAR  MONTH  DAY_OF_MONTH  DAY_OF_WEEK     FL_DATE CARRIER TAIL_NUM  \\\n",
       "10      2017      2             7            2  2017-02-07      B6   N249JB   \n",
       "37      2017      2             7            2  2017-02-07      B6   N249JB   \n",
       "64      2017      2             7            2  2017-02-07      B6   N766JB   \n",
       "92      2017      2             7            2  2017-02-07      B6   N766JB   \n",
       "120     2017      2             7            2  2017-02-07      B6   N316JB   \n",
       "146     2017      2             7            2  2017-02-07      B6   N316JB   \n",
       "172     2017      2             7            2  2017-02-07      B6   N623JB   \n",
       "199     2017      2             7            2  2017-02-07      B6   N527JB   \n",
       "240     2017      2             7            2  2017-02-07      B6   N913JB   \n",
       "266     2017      2             7            2  2017-02-07      B6   N179JB   \n",
       "290     2017      2             7            2  2017-02-07      B6   N179JB   \n",
       "316     2017      2             7            2  2017-02-07      B6   N648JB   \n",
       "344     2017      2             7            2  2017-02-07      B6   N621JB   \n",
       "406     2017      2             7            2  2017-02-07      B6   N809JB   \n",
       "446     2017      2             7            2  2017-02-07      B6   N639JB   \n",
       "474     2017      2             7            2  2017-02-07      B6   N630JB   \n",
       "502     2017      2             7            2  2017-02-07      B6   N317JB   \n",
       "529     2017      2             7            2  2017-02-07      B6   N298JB   \n",
       "600     2017      2             7            2  2017-02-07      B6   N265JB   \n",
       "641     2017      2             7            2  2017-02-07      B6   N649JB   \n",
       "669     2017      2             7            2  2017-02-07      B6   N649JB   \n",
       "697     2017      2             7            2  2017-02-07      B6   N659JB   \n",
       "725     2017      2             7            2  2017-02-07      B6   N659JB   \n",
       "766     2017      2             7            2  2017-02-07      B6   N955JB   \n",
       "794     2017      2             7            2  2017-02-07      B6   N955JB   \n",
       "822     2017      2             7            2  2017-02-07      B6   N519JB   \n",
       "850     2017      2             7            2  2017-02-07      B6   N519JB   \n",
       "906     2017      2             7            2  2017-02-07      B6   N238JB   \n",
       "934     2017      2             7            2  2017-02-07      B6   N527JB   \n",
       "962     2017      2             7            2  2017-02-07      B6   N206JB   \n",
       "...      ...    ...           ...          ...         ...     ...      ...   \n",
       "408324  2017      2             7            2  2017-02-07      B6   N706JB   \n",
       "408352  2017      2             7            2  2017-02-07      B6   N640JB   \n",
       "408380  2017      2             7            2  2017-02-07      B6   N238JB   \n",
       "408407  2017      2             7            2  2017-02-07      B6   N374JB   \n",
       "408434  2017      2             7            2  2017-02-07      B6   N339JB   \n",
       "408468  2017      2             7            2  2017-02-07      B6   N373JB   \n",
       "408496  2017      2             7            2  2017-02-07      B6   N373JB   \n",
       "408512  2017      2             7            2  2017-02-07      B6   N307JB   \n",
       "408540  2017      2             7            2  2017-02-07      B6   N307JB   \n",
       "408568  2017      2             7            2  2017-02-07      B6   N535JB   \n",
       "408596  2017      2             7            2  2017-02-07      B6   N796JB   \n",
       "408624  2017      2             7            2  2017-02-07      B6   N579JB   \n",
       "408652  2017      2             7            2  2017-02-07      B6   N828JB   \n",
       "408681  2017      2             7            2  2017-02-07      B6   N954JB   \n",
       "408695  2017      2             7            2  2017-02-07      B6   N179JB   \n",
       "408711  2017      2             7            2  2017-02-07      B6   N179JB   \n",
       "408739  2017      2             7            2  2017-02-07      B6   N665JB   \n",
       "408766  2017      2             7            2  2017-02-07      B6   N374JB   \n",
       "408780  2017      2             7            2  2017-02-07      B6   N238JB   \n",
       "408808  2017      2             7            2  2017-02-07      B6   N267JB   \n",
       "408835  2017      2             7            2  2017-02-07      B6   N267JB   \n",
       "408861  2017      2             7            2  2017-02-07      B6   N328JB   \n",
       "408886  2017      2             7            2  2017-02-07      B6   N328JB   \n",
       "408902  2017      2             7            2  2017-02-07      B6   N665JB   \n",
       "408930  2017      2             7            2  2017-02-07      B6   N307JB   \n",
       "408969  2017      2             7            2  2017-02-07      B6   N346JB   \n",
       "408992  2017      2             7            2  2017-02-07      B6   N265JB   \n",
       "409018  2017      2             7            2  2017-02-07      B6   N351JB   \n",
       "409054  2017      2             7            2  2017-02-07      B6   N588JB   \n",
       "409058  2017      2             7            2  2017-02-07      B6   N588JB   \n",
       "\n",
       "        FL_NUM ORIGIN DEST         ...           CANCELLED  CANCELLATION_CODE  \\\n",
       "10          33    BTV  JFK         ...                 0.0                NaN   \n",
       "37          34    JFK  BTV         ...                 0.0                NaN   \n",
       "64          42    LGB  RNO         ...                 0.0                NaN   \n",
       "92          43    RNO  LGB         ...                 0.0                NaN   \n",
       "120         49    BOS  SAV         ...                 0.0                NaN   \n",
       "146         50    SAV  BOS         ...                 0.0                NaN   \n",
       "172         51    BOS  MCO         ...                 0.0                NaN   \n",
       "199         52    MCO  BOS         ...                 0.0                NaN   \n",
       "240         54    PBI  JFK         ...                 0.0                NaN   \n",
       "266         56    IAD  BOS         ...                 0.0                NaN   \n",
       "290         57    BOS  IAD         ...                 0.0                NaN   \n",
       "316         61    BOS  SJU         ...                 0.0                NaN   \n",
       "344         62    PBI  LGA         ...                 0.0                NaN   \n",
       "406         69    BOS  FLL         ...                 0.0                NaN   \n",
       "446         71    JFK  SLC         ...                 0.0                NaN   \n",
       "474         72    SLC  JFK         ...                 0.0                NaN   \n",
       "502         76    MSY  JFK         ...                 0.0                NaN   \n",
       "529         79    DCA  FLL         ...                 0.0                NaN   \n",
       "600         85    BUF  MCO         ...                 0.0                NaN   \n",
       "641         87    ALB  FLL         ...                 0.0                NaN   \n",
       "669         88    FLL  ALB         ...                 0.0                NaN   \n",
       "697         89    JFK  SAN         ...                 0.0                NaN   \n",
       "725         90    SAN  JFK         ...                 0.0                NaN   \n",
       "766         97    JFK  DEN         ...                 0.0                NaN   \n",
       "794         98    DEN  JFK         ...                 0.0                NaN   \n",
       "822        100    LAX  FLL         ...                 0.0                NaN   \n",
       "850        101    FLL  LAX         ...                 0.0                NaN   \n",
       "906        105    JFK  ORD         ...                 0.0                NaN   \n",
       "934        107    SEA  LGB         ...                 0.0                NaN   \n",
       "962        108    JFK  PWM         ...                 0.0                NaN   \n",
       "...        ...    ...  ...         ...                 ...                ...   \n",
       "408324    2288    SFO  LAS         ...                 0.0                NaN   \n",
       "408352    2289    DTW  FLL         ...                 0.0                NaN   \n",
       "408380    2301    BUF  JFK         ...                 0.0                NaN   \n",
       "408407    2302    JFK  BUF         ...                 0.0                NaN   \n",
       "408434    2324    MCO  DCA         ...                 0.0                NaN   \n",
       "408468    2379    BOS  EWR         ...                 0.0                NaN   \n",
       "408496    2380    EWR  BOS         ...                 0.0                NaN   \n",
       "408512    2401    BUF  JFK         ...                 0.0                NaN   \n",
       "408540    2402    JFK  BUF         ...                 0.0                NaN   \n",
       "408568    2416    AUS  MCO         ...                 0.0                NaN   \n",
       "408596    2417    MCO  AUS         ...                 0.0                NaN   \n",
       "408624    2465    BUF  FLL         ...                 0.0                NaN   \n",
       "408652    2466    FLL  BUF         ...                 0.0                NaN   \n",
       "408681    2504    SJU  JFK         ...                 0.0                NaN   \n",
       "408695    2579    BOS  EWR         ...                 0.0                NaN   \n",
       "408711    2580    EWR  BOS         ...                 0.0                NaN   \n",
       "408739    2589    LAS  SFO         ...                 0.0                NaN   \n",
       "408766    2601    BUF  JFK         ...                 0.0                NaN   \n",
       "408780    2602    JFK  BUF         ...                 0.0                NaN   \n",
       "408808    2615    JAX  FLL         ...                 0.0                NaN   \n",
       "408835    2616    FLL  JAX         ...                 0.0                NaN   \n",
       "408861    2679    BOS  EWR         ...                 0.0                NaN   \n",
       "408886    2680    EWR  BOS         ...                 0.0                NaN   \n",
       "408902    2689    LAS  SFO         ...                 0.0                NaN   \n",
       "408930    2701    BUF  JFK         ...                 0.0                NaN   \n",
       "408969    2783    BOS  RDU         ...                 0.0                NaN   \n",
       "408992    2784    RDU  BOS         ...                 0.0                NaN   \n",
       "409018    2807    PWM  JFK         ...                 0.0                NaN   \n",
       "409054    2853    JFK  PBI         ...                 0.0                NaN   \n",
       "409058    2854    PBI  JFK         ...                 0.0                NaN   \n",
       "\n",
       "        DIVERTED CRS_ELAPSED_TIME  DISTANCE  DISTANCE_GROUP    aircraft_type  \\\n",
       "10           0.0             90.0     266.0               2  ERJ 190-100 IGW   \n",
       "37           0.0             81.0     266.0               2  ERJ 190-100 IGW   \n",
       "64           0.0             87.0     402.0               2         A320-232   \n",
       "92           0.0             81.0     402.0               2         A320-232   \n",
       "120          0.0            169.0     901.0               4  ERJ 190-100 IGW   \n",
       "146          0.0            138.0     901.0               4  ERJ 190-100 IGW   \n",
       "172          0.0            205.0    1121.0               5         A320-232   \n",
       "199          0.0            167.0    1121.0               5         A320-232   \n",
       "240          0.0            164.0    1028.0               5         A321-231   \n",
       "266          0.0             86.0     413.0               2  ERJ 190-100 IGW   \n",
       "290          0.0            112.0     413.0               2  ERJ 190-100 IGW   \n",
       "316          0.0            243.0    1674.0               7         A320-232   \n",
       "344          0.0            158.0    1035.0               5         A320-232   \n",
       "406          0.0            217.0    1237.0               5         A320-232   \n",
       "446          0.0            327.0    1990.0               8         A320-232   \n",
       "474          0.0            256.0    1990.0               8         A320-232   \n",
       "502          0.0            163.0    1182.0               5  ERJ 190-100 IGW   \n",
       "529          0.0            162.0     899.0               4  ERJ 190-100 IGW   \n",
       "600          0.0            169.0    1011.0               5  ERJ 190-100 IGW   \n",
       "641          0.0            203.0    1204.0               5         A320-232   \n",
       "669          0.0            174.0    1204.0               5         A320-232   \n",
       "697          0.0            378.0    2446.0              10         A320-232   \n",
       "725          0.0            306.0    2446.0              10         A320-232   \n",
       "766          0.0            278.0    1626.0               7         A321-231   \n",
       "794          0.0            217.0    1626.0               7         A321-231   \n",
       "822          0.0            287.0    2342.0              10         A320-232   \n",
       "850          0.0            355.0    2342.0              10         A320-232   \n",
       "906          0.0            175.0     740.0               3  ERJ 190-100 IGW   \n",
       "934          0.0            149.0     965.0               4         A320-232   \n",
       "962          0.0             68.0     273.0               2  ERJ 190-100 IGW   \n",
       "...          ...              ...       ...             ...              ...   \n",
       "408324       0.0             95.0     414.0               2         A320-232   \n",
       "408352       0.0            189.0    1127.0               5         A320-232   \n",
       "408380       0.0             83.0     301.0               2  ERJ 190-100 IGW   \n",
       "408407       0.0             83.0     301.0               2  ERJ 190-100 IGW   \n",
       "408434       0.0            124.0     759.0               4  ERJ 190-100 IGW   \n",
       "408468       0.0             88.0     200.0               1  ERJ 190-100 IGW   \n",
       "408496       0.0             68.0     200.0               1  ERJ 190-100 IGW   \n",
       "408512       0.0             87.0     301.0               2  ERJ 190-100 IGW   \n",
       "408540       0.0             86.0     301.0               2  ERJ 190-100 IGW   \n",
       "408568       0.0            138.0     994.0               4         A320-232   \n",
       "408596       0.0            174.0     994.0               4         A320-232   \n",
       "408624       0.0            203.0    1166.0               5         A320-232   \n",
       "408652       0.0            175.0    1166.0               5         A320-232   \n",
       "408681       0.0            240.0    1598.0               7         A321-231   \n",
       "408695       0.0             95.0     200.0               1  ERJ 190-100 IGW   \n",
       "408711       0.0             75.0     200.0               1  ERJ 190-100 IGW   \n",
       "408739       0.0            100.0     414.0               2         A320-232   \n",
       "408766       0.0             93.0     301.0               2  ERJ 190-100 IGW   \n",
       "408780       0.0             93.0     301.0               2  ERJ 190-100 IGW   \n",
       "408808       0.0             77.0     319.0               2  ERJ 190-100 IGW   \n",
       "408835       0.0             74.0     319.0               2  ERJ 190-100 IGW   \n",
       "408861       0.0             85.0     200.0               1  ERJ 190-100 IGW   \n",
       "408886       0.0             67.0     200.0               1  ERJ 190-100 IGW   \n",
       "408902       0.0             97.0     414.0               2         A320-232   \n",
       "408930       0.0             91.0     301.0               2  ERJ 190-100 IGW   \n",
       "408969       0.0            129.0     612.0               3  ERJ 190-100 IGW   \n",
       "408992       0.0            109.0     612.0               3  ERJ 190-100 IGW   \n",
       "409018       0.0             86.0     273.0               2  ERJ 190-100 IGW   \n",
       "409054       0.0            188.0    1028.0               5         A320-232   \n",
       "409058       0.0            165.0    1028.0               5         A320-232   \n",
       "\n",
       "        aircraft_capacity ORIGIN_m  aircraft_passengers  \n",
       "10                    100      BTV                  100  \n",
       "37                    100      JFK                  100  \n",
       "64                    150      LGB                  100  \n",
       "92                    150      RNO                  100  \n",
       "120                   100      BOS                  100  \n",
       "146                   100      SAV                  100  \n",
       "172                   150      BOS                  100  \n",
       "199                   150      MCO                  100  \n",
       "240                   162      PBI                  100  \n",
       "266                   100      IAD                  100  \n",
       "290                   100      BOS                  100  \n",
       "316                   150      BOS                  100  \n",
       "344                   150      PBI                  100  \n",
       "406                   150      BOS                  100  \n",
       "446                   150      JFK                  100  \n",
       "474                   150      SLC                  100  \n",
       "502                   100      MSY                  100  \n",
       "529                   100      DCA                  100  \n",
       "600                   100      BUF                  100  \n",
       "641                   150      ALB                  100  \n",
       "669                   150      FLL                  100  \n",
       "697                   150      JFK                  100  \n",
       "725                   150      SAN                  100  \n",
       "766                   162      JFK                  100  \n",
       "794                   162      DEN                  100  \n",
       "822                   150      LGB                  100  \n",
       "850                   150      FLL                  100  \n",
       "906                   100      JFK                  100  \n",
       "934                   150      SEA                  100  \n",
       "962                   100      JFK                  100  \n",
       "...                   ...      ...                  ...  \n",
       "408324                150      SFO                  100  \n",
       "408352                150      DTW                  100  \n",
       "408380                100      BUF                  100  \n",
       "408407                100      JFK                  100  \n",
       "408434                100      MCO                  100  \n",
       "408468                100      BOS                  100  \n",
       "408496                100      JFK                  100  \n",
       "408512                100      BUF                  100  \n",
       "408540                100      JFK                  100  \n",
       "408568                150      AUS                  100  \n",
       "408596                150      MCO                  100  \n",
       "408624                150      BUF                  100  \n",
       "408652                150      FLL                  100  \n",
       "408681                162      SJU                  100  \n",
       "408695                100      BOS                  100  \n",
       "408711                100      JFK                  100  \n",
       "408739                150      LAS                  100  \n",
       "408766                100      BUF                  100  \n",
       "408780                100      JFK                  100  \n",
       "408808                100      JAX                  100  \n",
       "408835                100      FLL                  100  \n",
       "408861                100      BOS                  100  \n",
       "408886                100      JFK                  100  \n",
       "408902                150      LAS                  100  \n",
       "408930                100      BUF                  100  \n",
       "408969                100      BOS                  100  \n",
       "408992                100      RDU                  100  \n",
       "409018                100      PWM                  100  \n",
       "409054                150      JFK                  100  \n",
       "409058                150      PBI                  100  \n",
       "\n",
       "[756 rows x 22 columns]"
      ]
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_tmp = df[['ORIGIN', 'aircraft_passengers']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_tmp['NUM_of_passengers'] = df_tmp.groupby(['ORIGIN'])['aircraft_passengers'].transform('sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_tmp = df_tmp.drop(columns=['aircraft_passengers'])\n",
    "df_tmp = df_tmp.drop_duplicates(subset=['ORIGIN'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {
    "scrolled": true
   },
   "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</th>\n",
       "      <th>NUM_of_passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BTV</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>JFK</td>\n",
       "      <td>9700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>LGB</td>\n",
       "      <td>3500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>RNO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>BOS</td>\n",
       "      <td>12600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>SAV</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>MCO</td>\n",
       "      <td>4900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>PBI</td>\n",
       "      <td>2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>IAD</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>SLC</td>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>MSY</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>DCA</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>BUF</td>\n",
       "      <td>1200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>ALB</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>FLL</td>\n",
       "      <td>6400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>SAN</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>DEN</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>LAX</td>\n",
       "      <td>1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>SEA</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>ORD</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038</th>\n",
       "      <td>HPN</td>\n",
       "      <td>1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>SYR</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1349</th>\n",
       "      <td>BWI</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1366</th>\n",
       "      <td>EWR</td>\n",
       "      <td>2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1394</th>\n",
       "      <td>RSW</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1530</th>\n",
       "      <td>PHX</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1558</th>\n",
       "      <td>BDL</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1614</th>\n",
       "      <td>CHS</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1642</th>\n",
       "      <td>OAK</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>PSP</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>SJU</td>\n",
       "      <td>2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>LAS</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2129</th>\n",
       "      <td>BNA</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>ROC</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2185</th>\n",
       "      <td>SFO</td>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2261</th>\n",
       "      <td>TPA</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>LGA</td>\n",
       "      <td>1800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2401</th>\n",
       "      <td>PWM</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2534</th>\n",
       "      <td>CLT</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3222</th>\n",
       "      <td>SMF</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4145</th>\n",
       "      <td>STX</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4320</th>\n",
       "      <td>BUR</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5369</th>\n",
       "      <td>CLE</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5412</th>\n",
       "      <td>SWF</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5870</th>\n",
       "      <td>SJC</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5898</th>\n",
       "      <td>PVD</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5982</th>\n",
       "      <td>JAX</td>\n",
       "      <td>900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6350</th>\n",
       "      <td>DAB</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6462</th>\n",
       "      <td>AUS</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7465</th>\n",
       "      <td>HOU</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8574</th>\n",
       "      <td>PSE</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9269</th>\n",
       "      <td>DFW</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9591</th>\n",
       "      <td>BQN</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10115</th>\n",
       "      <td>RIC</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10320</th>\n",
       "      <td>STT</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11189</th>\n",
       "      <td>RDU</td>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400619</th>\n",
       "      <td>PDX</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402506</th>\n",
       "      <td>PIT</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403046</th>\n",
       "      <td>DTW</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407365</th>\n",
       "      <td>ORH</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>62 rows × 2 columns</p>\n",
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      "text/plain": [
       "       ORIGIN  NUM_of_passengers\n",
       "10        BTV                400\n",
       "37        JFK               9700\n",
       "64        LGB               3500\n",
       "92        RNO                100\n",
       "120       BOS              12600\n",
       "146       SAV                300\n",
       "199       MCO               4900\n",
       "240       PBI               2100\n",
       "266       IAD                600\n",
       "474       SLC                700\n",
       "502       MSY                500\n",
       "529       DCA               3000\n",
       "600       BUF               1200\n",
       "641       ALB                200\n",
       "669       FLL               6400\n",
       "725       SAN                300\n",
       "794       DEN                300\n",
       "822       LAX               1100\n",
       "934       SEA                400\n",
       "1013      ORD                600\n",
       "1038      HPN               1100\n",
       "1094      SYR                500\n",
       "1349      BWI                800\n",
       "1366      EWR               2700\n",
       "1394      RSW               1600\n",
       "1530      PHX                200\n",
       "1558      BDL               1000\n",
       "1614      CHS                600\n",
       "1642      OAK                400\n",
       "1725      PSP                100\n",
       "...       ...                ...\n",
       "1994      SJU               2500\n",
       "2021      LAS               1500\n",
       "2129      BNA                300\n",
       "2157      ROC                300\n",
       "2185      SFO               1400\n",
       "2261      TPA               1300\n",
       "2345      LGA               1800\n",
       "2401      PWM                300\n",
       "2534      CLT                400\n",
       "3222      SMF                200\n",
       "4145      STX                100\n",
       "4320      BUR                100\n",
       "5369      CLE                400\n",
       "5412      SWF                200\n",
       "5870      SJC                500\n",
       "5898      PVD                300\n",
       "5982      JAX                900\n",
       "6350      DAB                100\n",
       "6462      AUS                600\n",
       "7465      HOU                200\n",
       "8574      PSE                200\n",
       "9269      DFW                200\n",
       "9591      BQN                300\n",
       "10115     RIC                600\n",
       "10320     STT                300\n",
       "11189     RDU                700\n",
       "400619    PDX                200\n",
       "402506    PIT                500\n",
       "403046    DTW                400\n",
       "407365    ORH                100\n",
       "\n",
       "[62 rows x 2 columns]"
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     },
     "execution_count": 264,
     "metadata": {},
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   "execution_count": 265,
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    "def get_location(address):\n",
    "    \"\"\"returns latitude and longitude of the input address\"\"\"\n",
    "    geocode_result = gm.geocode(address)[0]\n",
    "    lat = geocode_result['geometry']['location']['lat']\n",
    "    lng = geocode_result['geometry']['location']['lng']\n",
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   "outputs": [],
   "source": []
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   "execution_count": 266,
   "metadata": {},
   "outputs": [],
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    "m = folium.Map(location=[40, -98], tiles=\"Mapbox Bright\", zoom_start=4)\n",
    "\n",
    "for i, origin_ in enumerate(df_tmp['ORIGIN']):\n",
    "    loc_ = get_location(origin_ + ' airport')\n",
    "    size_ = df_tmp[df_tmp['ORIGIN']==origin_]['NUM_of_passengers'].values[0]\n",
    "    folium.Circle(\n",
    "          location=loc_,\n",
    "          popup=origin_ + ', ' + str(size_),\n",
    "          radius=np.sqrt(size_)*2000,\n",
    "          color=None,\n",
    "          fill=True,\n",
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    "          fill_opacity=0.5,\n",
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   "execution_count": 268,
   "metadata": {},
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      "Number of JetBlue passengers per day by airport (domestic routes only)\n"
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fce0bfbe240>"
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Number of JetBlue passengers per day by airport (domestic routes only)')\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "assigned_hub = {\n",
    "    'ALB':'JFK',\n",
    "    'AUS':'MCO',\n",
    "    'BDL':'BOS',\n",
    "    'BNA':'JFK',\n",
    "    'BOS':'',\n",
    "    'BQN':'SJU',\n",
    "    'BTV':'BOS',\n",
    "    'BUF':'JFK',\n",
    "    'BUR':'LGB',\n",
    "    'BWI':'JFK',\n",
    "    'CHS':'MCO',\n",
    "    'CLE':'JFK',\n",
    "    'CLT':'JFK',\n",
    "    'DAB':'MCO',\n",
    "    'DCA':'JFK',\n",
    "    'DEN':'SFO',\n",
    "    'DFW':'MCO',\n",
    "    'DTW':'JFK',\n",
    "    'EWR':'JFK',\n",
    "    'FLL':'',\n",
    "    'HOU':'MCO',\n",
    "    'HPN':'JFK',\n",
    "    'IAD':'JFK',\n",
    "    'JAX':'MCO',\n",
    "    'JFK':'',\n",
    "    'LAS':'LGB',\n",
    "    'LAX':'LGB',\n",
    "    'LGA':'JFK',\n",
    "    'LGB':'',\n",
    "    'MCO':'',\n",
    "    'MSY':'MCO',\n",
    "    'OAK':'SFO',\n",
    "    'ORD':'JFK',\n",
    "    'ORH':'BOS',\n",
    "    'PBI':'FLL',\n",
    "    'PDX':'SFO',\n",
    "    'PHL':'JFK',\n",
    "    'PHX':'LGB',\n",
    "    'PIT':'JFK',\n",
    "    'PSE':'SJU',\n",
    "    'PSP':'LGB',\n",
    "    'PVD':'BOS',\n",
    "    'PWM':'BOS',\n",
    "    'RDU':'JFK',\n",
    "    'RIC':'JFK',\n",
    "    'RNO':'SFO',\n",
    "    'ROC':'JFK',\n",
    "    'RSW':'MCO',\n",
    "    'SAN':'LGB',\n",
    "    'SAV':'MCO',\n",
    "    'SEA':'SFO',\n",
    "    'SFO':'',\n",
    "    'SJC':'SFO',\n",
    "    'SJU':'',\n",
    "    'SLC':'SFO',\n",
    "    'SMF':'SFO',\n",
    "    'SRQ':'MCO',\n",
    "    'STT':'SJU',\n",
    "    'STX':'SJU',\n",
    "    'SWF':'JFK',\n",
    "    'SYR':'JFK',\n",
    "    'TPA':'MCO',\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merge airports in the same city for simplicity (i.e. only one airport in metro area can exist)\n",
    "\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN']=='LGA', 'JFK', df['ORIGIN'])\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN_m']=='HPN', 'JFK', df['ORIGIN_m'])\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN_m']=='EWR', 'JFK', df['ORIGIN_m'])\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN_m']=='BUR', 'LGB', df['ORIGIN_m'])\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN_m']=='LAX', 'LGB', df['ORIGIN_m'])\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN_m']=='SJC', 'SFO', df['ORIGIN_m'])\n",
    "df['ORIGIN_m'] = np.where(df['ORIGIN_m']=='OAK', 'SFO', df['ORIGIN_m'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_of_hubs = []\n",
    "for loc_ in list_of_airports:\n",
    "    if assigned_hub[loc_] == '':\n",
    "        list_of_hubs.append(loc_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_of_airports = df['ORIGIN'].unique()\n",
    "list_of_airports = np.delete(list_of_airports, [np.where(list_of_airports =='LGA'),\n",
    "                                                np.where(list_of_airports =='HPN'),\n",
    "                                                np.where(list_of_airports =='EWR'),\n",
    "                                                np.where(list_of_airports =='BUR'),\n",
    "                                                np.where(list_of_airports =='LAX'),\n",
    "                                                np.where(list_of_airports =='SJC'),\n",
    "                                                np.where(list_of_airports =='OAK')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fce20f36a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "G = nx.Graph()\n",
    "\n",
    "G.add_nodes_from(list_of_airports)\n",
    "\n",
    "for i in range(len(list_of_hubs)):\n",
    "    for j in range(i+1, len(list_of_hubs)):\n",
    "        G.add_edge(list_of_hubs[i], list_of_hubs[j])\n",
    "        \n",
    "        \n",
    "for loc_ in list_of_airports:\n",
    "    if loc_ not in list_of_hubs:\n",
    "        G.add_edge(loc_, assigned_hub[loc_])\n",
    "\n",
    "nx.draw(G, with_labels=True, font_weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [],
   "source": [
    "routes = pd.DataFrame(columns=['ORIGIN', 'DEST', 'TIME', 'WEIGHT'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in list_of_hubs:\n",
    "    for j in list_of_hubs:\n",
    "        if i != j:\n",
    "            time_ = (great_circle(get_location(i + ' ' + 'airport'),get_location(j + ' ' + 'airport')).miles/500) +1.5\n",
    "            weight_ = df_tmp[df_tmp['ORIGIN']==i]['NUM_of_passengers'].values[0] *\\\n",
    "                df_tmp[df_tmp['ORIGIN']==j]['NUM_of_passengers'].values[0]\n",
    "            weight_ /= 10000\n",
    "            routes = routes.append({'ORIGIN':i, 'DEST':j, 'TIME':time_, 'WEIGHT':weight_},\n",
    "                            ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in list_of_airports:\n",
    "    if i not in list_of_hubs:\n",
    "        j = assigned_hub[i]\n",
    "        time_ = (great_circle(get_location(i + ' ' + 'airport'),get_location(j + ' ' + 'airport')).miles/500) +1.5\n",
    "        weight_ = df_tmp[df_tmp['ORIGIN']==i]['NUM_of_passengers'].values[0] *\\\n",
    "                df_tmp[df_tmp['ORIGIN']==j]['NUM_of_passengers'].values[0]\n",
    "        weight_ /= 10000\n",
    "        routes = routes.append({'ORIGIN':i, 'DEST':j, 'TIME':time_, 'WEIGHT':weight_},\n",
    "                            ignore_index=True)\n",
    "        routes = routes.append({'ORIGIN':j, 'DEST':i, 'TIME':time_, 'WEIGHT':weight_},\n",
    "                            ignore_index=True)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {
    "scrolled": true
   },
   "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</th>\n",
       "      <th>DEST</th>\n",
       "      <th>TIME</th>\n",
       "      <th>WEIGHT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JFK</td>\n",
       "      <td>LGB</td>\n",
       "      <td>6.419242</td>\n",
       "      <td>3395.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>JFK</td>\n",
       "      <td>BOS</td>\n",
       "      <td>1.872615</td>\n",
       "      <td>12222.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JFK</td>\n",
       "      <td>MCO</td>\n",
       "      <td>3.390651</td>\n",
       "      <td>4753.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JFK</td>\n",
       "      <td>FLL</td>\n",
       "      <td>3.641534</td>\n",
       "      <td>6208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JFK</td>\n",
       "      <td>SJU</td>\n",
       "      <td>4.704138</td>\n",
       "      <td>2425.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>JFK</td>\n",
       "      <td>SFO</td>\n",
       "      <td>6.659940</td>\n",
       "      <td>1358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>LGB</td>\n",
       "      <td>JFK</td>\n",
       "      <td>6.419242</td>\n",
       "      <td>3395.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>LGB</td>\n",
       "      <td>BOS</td>\n",
       "      <td>6.692206</td>\n",
       "      <td>4410.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LGB</td>\n",
       "      <td>MCO</td>\n",
       "      <td>5.897747</td>\n",
       "      <td>1715.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LGB</td>\n",
       "      <td>FLL</td>\n",
       "      <td>6.146568</td>\n",
       "      <td>2240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>LGB</td>\n",
       "      <td>SJU</td>\n",
       "      <td>8.233509</td>\n",
       "      <td>875.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>LGB</td>\n",
       "      <td>SFO</td>\n",
       "      <td>2.207896</td>\n",
       "      <td>490.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>BOS</td>\n",
       "      <td>JFK</td>\n",
       "      <td>1.872615</td>\n",
       "      <td>12222.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BOS</td>\n",
       "      <td>LGB</td>\n",
       "      <td>6.692206</td>\n",
       "      <td>4410.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BOS</td>\n",
       "      <td>MCO</td>\n",
       "      <td>3.743998</td>\n",
       "      <td>6174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BOS</td>\n",
       "      <td>FLL</td>\n",
       "      <td>3.978055</td>\n",
       "      <td>8064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>BOS</td>\n",
       "      <td>SJU</td>\n",
       "      <td>4.858412</td>\n",
       "      <td>3150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>BOS</td>\n",
       "      <td>SFO</td>\n",
       "      <td>6.894850</td>\n",
       "      <td>1764.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MCO</td>\n",
       "      <td>JFK</td>\n",
       "      <td>3.390651</td>\n",
       "      <td>4753.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MCO</td>\n",
       "      <td>LGB</td>\n",
       "      <td>5.897747</td>\n",
       "      <td>1715.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>MCO</td>\n",
       "      <td>BOS</td>\n",
       "      <td>3.743998</td>\n",
       "      <td>6174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MCO</td>\n",
       "      <td>FLL</td>\n",
       "      <td>1.855375</td>\n",
       "      <td>3136.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MCO</td>\n",
       "      <td>SJU</td>\n",
       "      <td>3.878004</td>\n",
       "      <td>1225.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>MCO</td>\n",
       "      <td>SFO</td>\n",
       "      <td>6.383365</td>\n",
       "      <td>686.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>FLL</td>\n",
       "      <td>JFK</td>\n",
       "      <td>3.641534</td>\n",
       "      <td>6208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>FLL</td>\n",
       "      <td>LGB</td>\n",
       "      <td>6.146568</td>\n",
       "      <td>2240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>FLL</td>\n",
       "      <td>BOS</td>\n",
       "      <td>3.978055</td>\n",
       "      <td>8064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>FLL</td>\n",
       "      <td>MCO</td>\n",
       "      <td>1.855375</td>\n",
       "      <td>3136.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>FLL</td>\n",
       "      <td>SJU</td>\n",
       "      <td>3.592469</td>\n",
       "      <td>1600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>FLL</td>\n",
       "      <td>SFO</td>\n",
       "      <td>6.658996</td>\n",
       "      <td>896.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>PVD</td>\n",
       "      <td>BOS</td>\n",
       "      <td>1.598556</td>\n",
       "      <td>378.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>BOS</td>\n",
       "      <td>PVD</td>\n",
       "      <td>1.598556</td>\n",
       "      <td>378.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>JAX</td>\n",
       "      <td>MCO</td>\n",
       "      <td>1.788707</td>\n",
       "      <td>441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>MCO</td>\n",
       "      <td>JAX</td>\n",
       "      <td>1.788707</td>\n",
       "      <td>441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>DAB</td>\n",
       "      <td>MCO</td>\n",
       "      <td>1.608409</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>MCO</td>\n",
       "      <td>DAB</td>\n",
       "      <td>1.608409</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>AUS</td>\n",
       "      <td>MCO</td>\n",
       "      <td>3.484336</td>\n",
       "      <td>294.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>MCO</td>\n",
       "      <td>AUS</td>\n",
       "      <td>3.484336</td>\n",
       "      <td>294.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>HOU</td>\n",
       "      <td>MCO</td>\n",
       "      <td>3.204611</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>MCO</td>\n",
       "      <td>HOU</td>\n",
       "      <td>3.204611</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>PSE</td>\n",
       "      <td>SJU</td>\n",
       "      <td>1.594472</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>SJU</td>\n",
       "      <td>PSE</td>\n",
       "      <td>1.594472</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>DFW</td>\n",
       "      <td>MCO</td>\n",
       "      <td>3.466913</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>MCO</td>\n",
       "      <td>DFW</td>\n",
       "      <td>3.466913</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>BQN</td>\n",
       "      <td>SJU</td>\n",
       "      <td>1.648845</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>SJU</td>\n",
       "      <td>BQN</td>\n",
       "      <td>1.648845</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>RIC</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2.076159</td>\n",
       "      <td>582.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>JFK</td>\n",
       "      <td>RIC</td>\n",
       "      <td>2.076159</td>\n",
       "      <td>582.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>STT</td>\n",
       "      <td>SJU</td>\n",
       "      <td>1.635705</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>SJU</td>\n",
       "      <td>STT</td>\n",
       "      <td>1.635705</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>RDU</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2.353122</td>\n",
       "      <td>679.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>JFK</td>\n",
       "      <td>RDU</td>\n",
       "      <td>2.353122</td>\n",
       "      <td>679.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>PDX</td>\n",
       "      <td>SFO</td>\n",
       "      <td>2.599542</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>SFO</td>\n",
       "      <td>PDX</td>\n",
       "      <td>2.599542</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>PIT</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2.178589</td>\n",
       "      <td>485.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>JFK</td>\n",
       "      <td>PIT</td>\n",
       "      <td>2.178589</td>\n",
       "      <td>485.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>DTW</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2.515282</td>\n",
       "      <td>388.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>JFK</td>\n",
       "      <td>DTW</td>\n",
       "      <td>2.515282</td>\n",
       "      <td>388.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>ORH</td>\n",
       "      <td>BOS</td>\n",
       "      <td>1.589302</td>\n",
       "      <td>126.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>BOS</td>\n",
       "      <td>ORH</td>\n",
       "      <td>1.589302</td>\n",
       "      <td>126.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>138 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ORIGIN DEST      TIME   WEIGHT\n",
       "0      JFK  LGB  6.419242   3395.0\n",
       "1      JFK  BOS  1.872615  12222.0\n",
       "2      JFK  MCO  3.390651   4753.0\n",
       "3      JFK  FLL  3.641534   6208.0\n",
       "4      JFK  SJU  4.704138   2425.0\n",
       "5      JFK  SFO  6.659940   1358.0\n",
       "6      LGB  JFK  6.419242   3395.0\n",
       "7      LGB  BOS  6.692206   4410.0\n",
       "8      LGB  MCO  5.897747   1715.0\n",
       "9      LGB  FLL  6.146568   2240.0\n",
       "10     LGB  SJU  8.233509    875.0\n",
       "11     LGB  SFO  2.207896    490.0\n",
       "12     BOS  JFK  1.872615  12222.0\n",
       "13     BOS  LGB  6.692206   4410.0\n",
       "14     BOS  MCO  3.743998   6174.0\n",
       "15     BOS  FLL  3.978055   8064.0\n",
       "16     BOS  SJU  4.858412   3150.0\n",
       "17     BOS  SFO  6.894850   1764.0\n",
       "18     MCO  JFK  3.390651   4753.0\n",
       "19     MCO  LGB  5.897747   1715.0\n",
       "20     MCO  BOS  3.743998   6174.0\n",
       "21     MCO  FLL  1.855375   3136.0\n",
       "22     MCO  SJU  3.878004   1225.0\n",
       "23     MCO  SFO  6.383365    686.0\n",
       "24     FLL  JFK  3.641534   6208.0\n",
       "25     FLL  LGB  6.146568   2240.0\n",
       "26     FLL  BOS  3.978055   8064.0\n",
       "27     FLL  MCO  1.855375   3136.0\n",
       "28     FLL  SJU  3.592469   1600.0\n",
       "29     FLL  SFO  6.658996    896.0\n",
       "..     ...  ...       ...      ...\n",
       "108    PVD  BOS  1.598556    378.0\n",
       "109    BOS  PVD  1.598556    378.0\n",
       "110    JAX  MCO  1.788707    441.0\n",
       "111    MCO  JAX  1.788707    441.0\n",
       "112    DAB  MCO  1.608409     49.0\n",
       "113    MCO  DAB  1.608409     49.0\n",
       "114    AUS  MCO  3.484336    294.0\n",
       "115    MCO  AUS  3.484336    294.0\n",
       "116    HOU  MCO  3.204611     98.0\n",
       "117    MCO  HOU  3.204611     98.0\n",
       "118    PSE  SJU  1.594472     50.0\n",
       "119    SJU  PSE  1.594472     50.0\n",
       "120    DFW  MCO  3.466913     98.0\n",
       "121    MCO  DFW  3.466913     98.0\n",
       "122    BQN  SJU  1.648845     75.0\n",
       "123    SJU  BQN  1.648845     75.0\n",
       "124    RIC  JFK  2.076159    582.0\n",
       "125    JFK  RIC  2.076159    582.0\n",
       "126    STT  SJU  1.635705     75.0\n",
       "127    SJU  STT  1.635705     75.0\n",
       "128    RDU  JFK  2.353122    679.0\n",
       "129    JFK  RDU  2.353122    679.0\n",
       "130    PDX  SFO  2.599542     28.0\n",
       "131    SFO  PDX  2.599542     28.0\n",
       "132    PIT  JFK  2.178589    485.0\n",
       "133    JFK  PIT  2.178589    485.0\n",
       "134    DTW  JFK  2.515282    388.0\n",
       "135    JFK  DTW  2.515282    388.0\n",
       "136    ORH  BOS  1.589302    126.0\n",
       "137    BOS  ORH  1.589302    126.0\n",
       "\n",
       "[138 rows x 4 columns]"
      ]
     },
     "execution_count": 272,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "routes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [],
   "source": [
    "aircrafts = pd.DataFrame(columns=['AIRCRAFT', 'D0', 'TD0',\n",
    "                                  'TA1', 'D1', 'TD1',\n",
    "                                  'TA2', 'D2', 'TD2',\n",
    "                                  'TA3', 'D3', 'TD3',\n",
    "                                  'TA4', 'D4', 'TD4',\n",
    "                                  'TA5', 'D5', 'TD5',\n",
    "                                  'TA6', 'D6', 'TD6',\n",
    "                                  'TA7', 'D7', 'TD7',\n",
    "                                  'TA8', 'D8', 'TD8',\n",
    "                                  ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i, orig_ in enumerate(df_tmp['ORIGIN']):\n",
    "    aircrafts = aircrafts.append({'AIRCRAFT':i, 'D0':orig_, 'TD0':6.5},\n",
    "                            ignore_index=True)\n",
    "for j, orig_ in enumerate(list_of_hubs):\n",
    "    for i in range(19):\n",
    "        aircrafts = aircrafts.append({'AIRCRAFT':61+(j*19)+i, 'D0':orig_, 'TD0':6.5+(i*0.5)},\n",
    "                            ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_dest(origin):\n",
    "    dest_options_ = routes[routes['ORIGIN']==origin]['DEST'].values\n",
    "    dict_ = {k: list(v)[0] for k,v in df_rpc.groupby(\"ORIGIN\")[\"NUM_of_passengers\"]}\n",
    "    p = np.vectorize(dict_.get)(routes[routes['ORIGIN']=='JFK']['DEST'].values)\n",
    "    p = np.divide(p, sum(p))\n",
    "    return np.random.choice(dest_options_, p=p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [],
   "source": [
    "def destination_assignment(time):\n",
    "    for i in aircrafts['AIRCRAFT']:\n",
    "        if aircrafts[aircrafts['AIRCRAFT']==i]['TD0'].values[0] > time:\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD1'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D1'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA1'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD0'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D1'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD1'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA1'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D1'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA1'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD0'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D1'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD1'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA1'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD2'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD1'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D1'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D2'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D1'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA2'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD1'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D2'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD2'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA2'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D1'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D2'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA2'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD1'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D1'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D2'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD2'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA2'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD3'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD2'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D2'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D3'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D2'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA3'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD2'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D3'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD3'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA3'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D2'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D3'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA3'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD2'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D2'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D3'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD3'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA3'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD4'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD3'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D3'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D4'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D3'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA4'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD3'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D4'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD4'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA4'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D3'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D4'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA4'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD3'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D3'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D4'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD4'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA4'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD5'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD4'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D4'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D5'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D4'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA5'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD4'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D5'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD5'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA5'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D4'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D5'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA5'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD4'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D4'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D5'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD5'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA5'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD6'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD5'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D5'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D6'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D5'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA6'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD5'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D6'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD6'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA6'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D5'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D6'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA6'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD5'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D5'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D6'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD6'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA6'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD7'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD6'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D6'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D7'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D6'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA7'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD6'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D7'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD7'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA7'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D6'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D7'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA7'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD6'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D6'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D7'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD7'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA7'].values[0]\n",
    "            continue\n",
    "        if np.isnan(aircrafts[aircrafts['AIRCRAFT']==i]['TD8'].values[0]):\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['TD7'].values[0] > time:\n",
    "                continue\n",
    "            if aircrafts[aircrafts['AIRCRAFT']==i]['D7'].values[0] not in list_of_hubs:\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D8'] = assigned_hub[aircrafts[aircrafts['AIRCRAFT']==i]['D7'].values[0]]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA8'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD7'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D0'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D8'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD8'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA8'].values[0]\n",
    "            else:\n",
    "                dest_ = find_dest(aircrafts[aircrafts['AIRCRAFT']==i]['D7'].values[0])\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'D8'] = dest_\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TA8'] = aircrafts[aircrafts['AIRCRAFT']==i]['TD7'].values[0] +\\\n",
    "                        routes[(routes['ORIGIN']==aircrafts[aircrafts['AIRCRAFT']==i]['D7'].values[0])&(routes['DEST']==aircrafts[aircrafts['AIRCRAFT']==i]['D8'].values[0])]['TIME'].values[0]\n",
    "                aircrafts.loc[aircrafts['AIRCRAFT']==0, 'TD8'] = aircrafts[aircrafts['AIRCRAFT']==i]['TA8'].values[0]\n",
    "            continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remaing passenger count by airport\n",
    "df_rpc = df_tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {
    "scrolled": true
   },
   "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</th>\n",
       "      <th>NUM_of_passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BTV</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>JFK</td>\n",
       "      <td>9700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>LGB</td>\n",
       "      <td>3500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>RNO</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>BOS</td>\n",
       "      <td>12600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>SAV</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>MCO</td>\n",
       "      <td>4900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>PBI</td>\n",
       "      <td>2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>IAD</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>SLC</td>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>MSY</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>DCA</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>BUF</td>\n",
       "      <td>1200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>ALB</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>FLL</td>\n",
       "      <td>6400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>SAN</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>DEN</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>LAX</td>\n",
       "      <td>1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>SEA</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>ORD</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038</th>\n",
       "      <td>HPN</td>\n",
       "      <td>1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>SYR</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1349</th>\n",
       "      <td>BWI</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1366</th>\n",
       "      <td>EWR</td>\n",
       "      <td>2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1394</th>\n",
       "      <td>RSW</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1530</th>\n",
       "      <td>PHX</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1558</th>\n",
       "      <td>BDL</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1614</th>\n",
       "      <td>CHS</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1642</th>\n",
       "      <td>OAK</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>PSP</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>SJU</td>\n",
       "      <td>2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>LAS</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2129</th>\n",
       "      <td>BNA</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>ROC</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2185</th>\n",
       "      <td>SFO</td>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2261</th>\n",
       "      <td>TPA</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>LGA</td>\n",
       "      <td>1800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2401</th>\n",
       "      <td>PWM</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2534</th>\n",
       "      <td>CLT</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3222</th>\n",
       "      <td>SMF</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4145</th>\n",
       "      <td>STX</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4320</th>\n",
       "      <td>BUR</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5369</th>\n",
       "      <td>CLE</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5412</th>\n",
       "      <td>SWF</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5870</th>\n",
       "      <td>SJC</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5898</th>\n",
       "      <td>PVD</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5982</th>\n",
       "      <td>JAX</td>\n",
       "      <td>900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6350</th>\n",
       "      <td>DAB</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6462</th>\n",
       "      <td>AUS</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7465</th>\n",
       "      <td>HOU</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8574</th>\n",
       "      <td>PSE</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9269</th>\n",
       "      <td>DFW</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9591</th>\n",
       "      <td>BQN</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10115</th>\n",
       "      <td>RIC</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10320</th>\n",
       "      <td>STT</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11189</th>\n",
       "      <td>RDU</td>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400619</th>\n",
       "      <td>PDX</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402506</th>\n",
       "      <td>PIT</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403046</th>\n",
       "      <td>DTW</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407365</th>\n",
       "      <td>ORH</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>62 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ORIGIN  NUM_of_passengers\n",
       "10        BTV                400\n",
       "37        JFK               9700\n",
       "64        LGB               3500\n",
       "92        RNO                100\n",
       "120       BOS              12600\n",
       "146       SAV                300\n",
       "199       MCO               4900\n",
       "240       PBI               2100\n",
       "266       IAD                600\n",
       "474       SLC                700\n",
       "502       MSY                500\n",
       "529       DCA               3000\n",
       "600       BUF               1200\n",
       "641       ALB                200\n",
       "669       FLL               6400\n",
       "725       SAN                300\n",
       "794       DEN                300\n",
       "822       LAX               1100\n",
       "934       SEA                400\n",
       "1013      ORD                600\n",
       "1038      HPN               1100\n",
       "1094      SYR                500\n",
       "1349      BWI                800\n",
       "1366      EWR               2700\n",
       "1394      RSW               1600\n",
       "1530      PHX                200\n",
       "1558      BDL               1000\n",
       "1614      CHS                600\n",
       "1642      OAK                400\n",
       "1725      PSP                100\n",
       "...       ...                ...\n",
       "1994      SJU               2500\n",
       "2021      LAS               1500\n",
       "2129      BNA                300\n",
       "2157      ROC                300\n",
       "2185      SFO               1400\n",
       "2261      TPA               1300\n",
       "2345      LGA               1800\n",
       "2401      PWM                300\n",
       "2534      CLT                400\n",
       "3222      SMF                200\n",
       "4145      STX                100\n",
       "4320      BUR                100\n",
       "5369      CLE                400\n",
       "5412      SWF                200\n",
       "5870      SJC                500\n",
       "5898      PVD                300\n",
       "5982      JAX                900\n",
       "6350      DAB                100\n",
       "6462      AUS                600\n",
       "7465      HOU                200\n",
       "8574      PSE                200\n",
       "9269      DFW                200\n",
       "9591      BQN                300\n",
       "10115     RIC                600\n",
       "10320     STT                300\n",
       "11189     RDU                700\n",
       "400619    PDX                200\n",
       "402506    PIT                500\n",
       "403046    DTW                400\n",
       "407365    ORH                100\n",
       "\n",
       "[62 rows x 2 columns]"
      ]
     },
     "execution_count": 326,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rpc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [],
   "source": [
    "def filling_schedule():\n",
    "    for time_ in np.arange(6.5,24.5,0.5):\n",
    "        destination_assignment(time_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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