BigData Intro.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pandas import DataFrame, read_csv\n",
    "\n",
    "# General syntax to import a library but no functions: \n",
    "##import (library) as (give the library a nickname/alias)\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd #this is how I usually import pandas\n",
    "import sys #only needed to determine Python version number\n",
    "import numpy as np\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "\n",
    "# Enable inline plotting\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"/home/lakis/flights14.csv\", sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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</th>\n",
       "      <th>dep_time</th>\n",
       "      <th>dep_delay</th>\n",
       "      <th>arr_time</th>\n",
       "      <th>arr_delay</th>\n",
       "      <th>cancelled</th>\n",
       "      <th>carrier</th>\n",
       "      <th>tailnum</th>\n",
       "      <th>flight</th>\n",
       "      <th>origin</th>\n",
       "      <th>dest</th>\n",
       "      <th>air_time</th>\n",
       "      <th>distance</th>\n",
       "      <th>hour</th>\n",
       "      <th>min</th>\n",
       "      <th>is_late</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>914</td>\n",
       "      <td>14</td>\n",
       "      <td>1238</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N338AA</td>\n",
       "      <td>1</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>359</td>\n",
       "      <td>2475</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1157</td>\n",
       "      <td>-3</td>\n",
       "      <td>1523</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N335AA</td>\n",
       "      <td>3</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>363</td>\n",
       "      <td>2475</td>\n",
       "      <td>11</td>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1902</td>\n",
       "      <td>2</td>\n",
       "      <td>2224</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N327AA</td>\n",
       "      <td>21</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>351</td>\n",
       "      <td>2475</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>722</td>\n",
       "      <td>-8</td>\n",
       "      <td>1014</td>\n",
       "      <td>-26</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3EHAA</td>\n",
       "      <td>29</td>\n",
       "      <td>LGA</td>\n",
       "      <td>PBI</td>\n",
       "      <td>157</td>\n",
       "      <td>1035</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1347</td>\n",
       "      <td>2</td>\n",
       "      <td>1706</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N319AA</td>\n",
       "      <td>117</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>350</td>\n",
       "      <td>2475</td>\n",
       "      <td>13</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1824</td>\n",
       "      <td>4</td>\n",
       "      <td>2145</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3DEAA</td>\n",
       "      <td>119</td>\n",
       "      <td>EWR</td>\n",
       "      <td>LAX</td>\n",
       "      <td>339</td>\n",
       "      <td>2454</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2133</td>\n",
       "      <td>-2</td>\n",
       "      <td>37</td>\n",
       "      <td>-18</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N323AA</td>\n",
       "      <td>185</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>338</td>\n",
       "      <td>2475</td>\n",
       "      <td>21</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1542</td>\n",
       "      <td>-3</td>\n",
       "      <td>1906</td>\n",
       "      <td>-14</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N328AA</td>\n",
       "      <td>133</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>356</td>\n",
       "      <td>2475</td>\n",
       "      <td>15</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1509</td>\n",
       "      <td>-1</td>\n",
       "      <td>1828</td>\n",
       "      <td>-17</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N5FJAA</td>\n",
       "      <td>145</td>\n",
       "      <td>JFK</td>\n",
       "      <td>MIA</td>\n",
       "      <td>161</td>\n",
       "      <td>1089</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1848</td>\n",
       "      <td>-2</td>\n",
       "      <td>2206</td>\n",
       "      <td>-14</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3HYAA</td>\n",
       "      <td>235</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SEA</td>\n",
       "      <td>349</td>\n",
       "      <td>2422</td>\n",
       "      <td>18</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1655</td>\n",
       "      <td>-5</td>\n",
       "      <td>2003</td>\n",
       "      <td>-17</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N5CFAA</td>\n",
       "      <td>172</td>\n",
       "      <td>EWR</td>\n",
       "      <td>MIA</td>\n",
       "      <td>161</td>\n",
       "      <td>1085</td>\n",
       "      <td>16</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1752</td>\n",
       "      <td>7</td>\n",
       "      <td>2120</td>\n",
       "      <td>-5</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N332AA</td>\n",
       "      <td>177</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SFO</td>\n",
       "      <td>365</td>\n",
       "      <td>2586</td>\n",
       "      <td>17</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1253</td>\n",
       "      <td>3</td>\n",
       "      <td>1351</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3JWAA</td>\n",
       "      <td>178</td>\n",
       "      <td>JFK</td>\n",
       "      <td>BOS</td>\n",
       "      <td>39</td>\n",
       "      <td>187</td>\n",
       "      <td>12</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1907</td>\n",
       "      <td>142</td>\n",
       "      <td>2223</td>\n",
       "      <td>133</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N336AA</td>\n",
       "      <td>181</td>\n",
       "      <td>JFK</td>\n",
       "      <td>LAX</td>\n",
       "      <td>345</td>\n",
       "      <td>2475</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1720</td>\n",
       "      <td>-5</td>\n",
       "      <td>1819</td>\n",
       "      <td>-26</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3BCAA</td>\n",
       "      <td>256</td>\n",
       "      <td>JFK</td>\n",
       "      <td>BOS</td>\n",
       "      <td>35</td>\n",
       "      <td>187</td>\n",
       "      <td>17</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1733</td>\n",
       "      <td>18</td>\n",
       "      <td>2024</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3HPAA</td>\n",
       "      <td>199</td>\n",
       "      <td>JFK</td>\n",
       "      <td>ORD</td>\n",
       "      <td>155</td>\n",
       "      <td>740</td>\n",
       "      <td>17</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1640</td>\n",
       "      <td>25</td>\n",
       "      <td>2001</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3HFAA</td>\n",
       "      <td>211</td>\n",
       "      <td>JFK</td>\n",
       "      <td>IAH</td>\n",
       "      <td>234</td>\n",
       "      <td>1417</td>\n",
       "      <td>16</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1714</td>\n",
       "      <td>-1</td>\n",
       "      <td>2036</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3DVAA</td>\n",
       "      <td>291</td>\n",
       "      <td>JFK</td>\n",
       "      <td>AUS</td>\n",
       "      <td>232</td>\n",
       "      <td>1521</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1611</td>\n",
       "      <td>191</td>\n",
       "      <td>1910</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N471AA</td>\n",
       "      <td>300</td>\n",
       "      <td>EWR</td>\n",
       "      <td>DFW</td>\n",
       "      <td>214</td>\n",
       "      <td>1372</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>553</td>\n",
       "      <td>-7</td>\n",
       "      <td>739</td>\n",
       "      <td>-6</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3KHAA</td>\n",
       "      <td>301</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>142</td>\n",
       "      <td>733</td>\n",
       "      <td>5</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>623</td>\n",
       "      <td>-7</td>\n",
       "      <td>815</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3BSAA</td>\n",
       "      <td>303</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>143</td>\n",
       "      <td>733</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>652</td>\n",
       "      <td>-8</td>\n",
       "      <td>833</td>\n",
       "      <td>-17</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N560AA</td>\n",
       "      <td>305</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>139</td>\n",
       "      <td>733</td>\n",
       "      <td>6</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>738</td>\n",
       "      <td>-2</td>\n",
       "      <td>940</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3GMAA</td>\n",
       "      <td>307</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>145</td>\n",
       "      <td>733</td>\n",
       "      <td>7</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>847</td>\n",
       "      <td>-3</td>\n",
       "      <td>1036</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N553AA</td>\n",
       "      <td>313</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>139</td>\n",
       "      <td>733</td>\n",
       "      <td>8</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1029</td>\n",
       "      <td>44</td>\n",
       "      <td>1212</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3KDAA</td>\n",
       "      <td>317</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>141</td>\n",
       "      <td>733</td>\n",
       "      <td>10</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1449</td>\n",
       "      <td>-1</td>\n",
       "      <td>1753</td>\n",
       "      <td>-2</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N4WNAA</td>\n",
       "      <td>320</td>\n",
       "      <td>EWR</td>\n",
       "      <td>DFW</td>\n",
       "      <td>214</td>\n",
       "      <td>1372</td>\n",
       "      <td>14</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1018</td>\n",
       "      <td>3</td>\n",
       "      <td>1202</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N482AA</td>\n",
       "      <td>325</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>137</td>\n",
       "      <td>733</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1140</td>\n",
       "      <td>-5</td>\n",
       "      <td>1349</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N570AA</td>\n",
       "      <td>327</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>145</td>\n",
       "      <td>733</td>\n",
       "      <td>11</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1346</td>\n",
       "      <td>26</td>\n",
       "      <td>1541</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N3KRAA</td>\n",
       "      <td>331</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>132</td>\n",
       "      <td>733</td>\n",
       "      <td>13</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1612</td>\n",
       "      <td>52</td>\n",
       "      <td>1836</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>AA</td>\n",
       "      <td>N553AA</td>\n",
       "      <td>341</td>\n",
       "      <td>LGA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>136</td>\n",
       "      <td>733</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253286</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1513</td>\n",
       "      <td>3</td>\n",
       "      <td>1801</td>\n",
       "      <td>-7</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N77530</td>\n",
       "      <td>1218</td>\n",
       "      <td>EWR</td>\n",
       "      <td>TPA</td>\n",
       "      <td>147</td>\n",
       "      <td>997</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253287</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>2330</td>\n",
       "      <td>271</td>\n",
       "      <td>214</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N24706</td>\n",
       "      <td>1259</td>\n",
       "      <td>LGA</td>\n",
       "      <td>IAH</td>\n",
       "      <td>195</td>\n",
       "      <td>1416</td>\n",
       "      <td>23</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253288</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>659</td>\n",
       "      <td>10</td>\n",
       "      <td>820</td>\n",
       "      <td>-5</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N16713</td>\n",
       "      <td>1262</td>\n",
       "      <td>EWR</td>\n",
       "      <td>ORD</td>\n",
       "      <td>110</td>\n",
       "      <td>719</td>\n",
       "      <td>6</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253289</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1631</td>\n",
       "      <td>21</td>\n",
       "      <td>1945</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N37468</td>\n",
       "      <td>1284</td>\n",
       "      <td>EWR</td>\n",
       "      <td>SFO</td>\n",
       "      <td>340</td>\n",
       "      <td>2565</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253290</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>821</td>\n",
       "      <td>-9</td>\n",
       "      <td>1127</td>\n",
       "      <td>-43</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N41140</td>\n",
       "      <td>1289</td>\n",
       "      <td>EWR</td>\n",
       "      <td>SFO</td>\n",
       "      <td>334</td>\n",
       "      <td>2565</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253291</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1459</td>\n",
       "      <td>49</td>\n",
       "      <td>1823</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N76519</td>\n",
       "      <td>1293</td>\n",
       "      <td>EWR</td>\n",
       "      <td>SFO</td>\n",
       "      <td>336</td>\n",
       "      <td>2565</td>\n",
       "      <td>14</td>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253292</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>647</td>\n",
       "      <td>0</td>\n",
       "      <td>945</td>\n",
       "      <td>-10</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N29717</td>\n",
       "      <td>1299</td>\n",
       "      <td>EWR</td>\n",
       "      <td>RSW</td>\n",
       "      <td>156</td>\n",
       "      <td>1068</td>\n",
       "      <td>6</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253293</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1039</td>\n",
       "      <td>9</td>\n",
       "      <td>1342</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N73276</td>\n",
       "      <td>1401</td>\n",
       "      <td>EWR</td>\n",
       "      <td>MIA</td>\n",
       "      <td>160</td>\n",
       "      <td>1085</td>\n",
       "      <td>10</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253294</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>2028</td>\n",
       "      <td>3</td>\n",
       "      <td>2316</td>\n",
       "      <td>-32</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N36447</td>\n",
       "      <td>1402</td>\n",
       "      <td>EWR</td>\n",
       "      <td>LAX</td>\n",
       "      <td>320</td>\n",
       "      <td>2454</td>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253295</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>624</td>\n",
       "      <td>-6</td>\n",
       "      <td>828</td>\n",
       "      <td>-31</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N76523</td>\n",
       "      <td>1407</td>\n",
       "      <td>EWR</td>\n",
       "      <td>MSY</td>\n",
       "      <td>161</td>\n",
       "      <td>1167</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253296</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1005</td>\n",
       "      <td>5</td>\n",
       "      <td>1139</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N34455</td>\n",
       "      <td>1408</td>\n",
       "      <td>EWR</td>\n",
       "      <td>ORD</td>\n",
       "      <td>132</td>\n",
       "      <td>719</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253297</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1946</td>\n",
       "      <td>46</td>\n",
       "      <td>2247</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N36472</td>\n",
       "      <td>1416</td>\n",
       "      <td>EWR</td>\n",
       "      <td>FLL</td>\n",
       "      <td>149</td>\n",
       "      <td>1065</td>\n",
       "      <td>19</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253298</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>756</td>\n",
       "      <td>-1</td>\n",
       "      <td>921</td>\n",
       "      <td>-18</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N27477</td>\n",
       "      <td>1417</td>\n",
       "      <td>EWR</td>\n",
       "      <td>CLE</td>\n",
       "      <td>61</td>\n",
       "      <td>404</td>\n",
       "      <td>7</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253299</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1707</td>\n",
       "      <td>14</td>\n",
       "      <td>1947</td>\n",
       "      <td>-17</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N87527</td>\n",
       "      <td>1420</td>\n",
       "      <td>LGA</td>\n",
       "      <td>IAH</td>\n",
       "      <td>200</td>\n",
       "      <td>1416</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253300</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>2117</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>-11</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N14230</td>\n",
       "      <td>1682</td>\n",
       "      <td>EWR</td>\n",
       "      <td>FLL</td>\n",
       "      <td>151</td>\n",
       "      <td>1065</td>\n",
       "      <td>21</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253301</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1604</td>\n",
       "      <td>-4</td>\n",
       "      <td>1914</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N24202</td>\n",
       "      <td>1691</td>\n",
       "      <td>EWR</td>\n",
       "      <td>MIA</td>\n",
       "      <td>155</td>\n",
       "      <td>1085</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253302</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>601</td>\n",
       "      <td>1</td>\n",
       "      <td>856</td>\n",
       "      <td>-15</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N77510</td>\n",
       "      <td>1701</td>\n",
       "      <td>EWR</td>\n",
       "      <td>FLL</td>\n",
       "      <td>151</td>\n",
       "      <td>1065</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253303</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1414</td>\n",
       "      <td>-3</td>\n",
       "      <td>1652</td>\n",
       "      <td>-26</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N77510</td>\n",
       "      <td>1711</td>\n",
       "      <td>EWR</td>\n",
       "      <td>IAH</td>\n",
       "      <td>198</td>\n",
       "      <td>1400</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253304</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1723</td>\n",
       "      <td>3</td>\n",
       "      <td>2006</td>\n",
       "      <td>-14</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N14107</td>\n",
       "      <td>1712</td>\n",
       "      <td>EWR</td>\n",
       "      <td>IAH</td>\n",
       "      <td>195</td>\n",
       "      <td>1400</td>\n",
       "      <td>17</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253305</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>609</td>\n",
       "      <td>24</td>\n",
       "      <td>843</td>\n",
       "      <td>-5</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N16709</td>\n",
       "      <td>1714</td>\n",
       "      <td>LGA</td>\n",
       "      <td>IAH</td>\n",
       "      <td>198</td>\n",
       "      <td>1416</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253306</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1920</td>\n",
       "      <td>14</td>\n",
       "      <td>2223</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N37434</td>\n",
       "      <td>1718</td>\n",
       "      <td>EWR</td>\n",
       "      <td>MIA</td>\n",
       "      <td>151</td>\n",
       "      <td>1085</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253307</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1242</td>\n",
       "      <td>41</td>\n",
       "      <td>1549</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N16217</td>\n",
       "      <td>1727</td>\n",
       "      <td>EWR</td>\n",
       "      <td>SFO</td>\n",
       "      <td>344</td>\n",
       "      <td>2565</td>\n",
       "      <td>12</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253308</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>2121</td>\n",
       "      <td>427</td>\n",
       "      <td>2224</td>\n",
       "      <td>393</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N29717</td>\n",
       "      <td>1734</td>\n",
       "      <td>EWR</td>\n",
       "      <td>ORD</td>\n",
       "      <td>100</td>\n",
       "      <td>719</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253309</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1049</td>\n",
       "      <td>10</td>\n",
       "      <td>1335</td>\n",
       "      <td>-27</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N37267</td>\n",
       "      <td>1735</td>\n",
       "      <td>EWR</td>\n",
       "      <td>LAX</td>\n",
       "      <td>326</td>\n",
       "      <td>2454</td>\n",
       "      <td>10</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253310</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1653</td>\n",
       "      <td>18</td>\n",
       "      <td>1910</td>\n",
       "      <td>-14</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N28478</td>\n",
       "      <td>1739</td>\n",
       "      <td>EWR</td>\n",
       "      <td>LAS</td>\n",
       "      <td>291</td>\n",
       "      <td>2227</td>\n",
       "      <td>16</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253311</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1459</td>\n",
       "      <td>1</td>\n",
       "      <td>1747</td>\n",
       "      <td>-30</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N23708</td>\n",
       "      <td>1744</td>\n",
       "      <td>LGA</td>\n",
       "      <td>IAH</td>\n",
       "      <td>201</td>\n",
       "      <td>1416</td>\n",
       "      <td>14</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253312</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>854</td>\n",
       "      <td>-5</td>\n",
       "      <td>1147</td>\n",
       "      <td>-14</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>N33132</td>\n",
       "      <td>1758</td>\n",
       "      <td>EWR</td>\n",
       "      <td>IAH</td>\n",
       "      <td>189</td>\n",
       "      <td>1400</td>\n",
       "      <td>8</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253313</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1102</td>\n",
       "      <td>-8</td>\n",
       "      <td>1311</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>MQ</td>\n",
       "      <td>N827MQ</td>\n",
       "      <td>3591</td>\n",
       "      <td>LGA</td>\n",
       "      <td>RDU</td>\n",
       "      <td>83</td>\n",
       "      <td>431</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253314</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>1106</td>\n",
       "      <td>-4</td>\n",
       "      <td>1325</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>MQ</td>\n",
       "      <td>N511MQ</td>\n",
       "      <td>3592</td>\n",
       "      <td>LGA</td>\n",
       "      <td>DTW</td>\n",
       "      <td>75</td>\n",
       "      <td>502</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253315</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>824</td>\n",
       "      <td>-5</td>\n",
       "      <td>1045</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>MQ</td>\n",
       "      <td>N813MQ</td>\n",
       "      <td>3599</td>\n",
       "      <td>LGA</td>\n",
       "      <td>SDF</td>\n",
       "      <td>110</td>\n",
       "      <td>659</td>\n",
       "      <td>8</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>253316 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        year  month  day  dep_time  dep_delay  arr_time  arr_delay  cancelled  \\\n",
       "0       2014      1    1       914         14      1238         13          0   \n",
       "1       2014      1    1      1157         -3      1523         13          0   \n",
       "2       2014      1    1      1902          2      2224          9          0   \n",
       "3       2014      1    1       722         -8      1014        -26          0   \n",
       "4       2014      1    1      1347          2      1706          1          0   \n",
       "5       2014      1    1      1824          4      2145          0          0   \n",
       "6       2014      1    1      2133         -2        37        -18          0   \n",
       "7       2014      1    1      1542         -3      1906        -14          0   \n",
       "8       2014      1    1      1509         -1      1828        -17          0   \n",
       "9       2014      1    1      1848         -2      2206        -14          0   \n",
       "10      2014      1    1      1655         -5      2003        -17          0   \n",
       "11      2014      1    1      1752          7      2120         -5          0   \n",
       "12      2014      1    1      1253          3      1351          1          0   \n",
       "13      2014      1    1      1907        142      2223        133          0   \n",
       "14      2014      1    1      1720         -5      1819        -26          0   \n",
       "15      2014      1    1      1733         18      2024         69          0   \n",
       "16      2014      1    1      1640         25      2001         36          0   \n",
       "17      2014      1    1      1714         -1      2036          1          0   \n",
       "18      2014      1    1      1611        191      1910        185          0   \n",
       "19      2014      1    1       553         -7       739         -6          0   \n",
       "20      2014      1    1       623         -7       815          0          0   \n",
       "21      2014      1    1       652         -8       833        -17          0   \n",
       "22      2014      1    1       738         -2       940         15          0   \n",
       "23      2014      1    1       847         -3      1036          1          0   \n",
       "24      2014      1    1      1029         44      1212         42          0   \n",
       "25      2014      1    1      1449         -1      1753         -2          0   \n",
       "26      2014      1    1      1018          3      1202         12          0   \n",
       "27      2014      1    1      1140         -5      1349         24          0   \n",
       "28      2014      1    1      1346         26      1541         46          0   \n",
       "29      2014      1    1      1612         52      1836         91          0   \n",
       "...      ...    ...  ...       ...        ...       ...        ...        ...   \n",
       "253286  2014     10   31      1513          3      1801         -7          0   \n",
       "253287  2014     10   31      2330        271       214        236          0   \n",
       "253288  2014     10   31       659         10       820         -5          0   \n",
       "253289  2014     10   31      1631         21      1945          6          0   \n",
       "253290  2014     10   31       821         -9      1127        -43          0   \n",
       "253291  2014     10   31      1459         49      1823         48          0   \n",
       "253292  2014     10   31       647          0       945        -10          0   \n",
       "253293  2014     10   31      1039          9      1342          4          0   \n",
       "253294  2014     10   31      2028          3      2316        -32          0   \n",
       "253295  2014     10   31       624         -6       828        -31          0   \n",
       "253296  2014     10   31      1005          5      1139          2          0   \n",
       "253297  2014     10   31      1946         46      2247         41          0   \n",
       "253298  2014     10   31       756         -1       921        -18          0   \n",
       "253299  2014     10   31      1707         14      1947        -17          0   \n",
       "253300  2014     10   31      2117          7         6        -11          0   \n",
       "253301  2014     10   31      1604         -4      1914         -1          0   \n",
       "253302  2014     10   31       601          1       856        -15          0   \n",
       "253303  2014     10   31      1414         -3      1652        -26          0   \n",
       "253304  2014     10   31      1723          3      2006        -14          0   \n",
       "253305  2014     10   31       609         24       843         -5          0   \n",
       "253306  2014     10   31      1920         14      2223         11          0   \n",
       "253307  2014     10   31      1242         41      1549         19          0   \n",
       "253308  2014     10   31      2121        427      2224        393          0   \n",
       "253309  2014     10   31      1049         10      1335        -27          0   \n",
       "253310  2014     10   31      1653         18      1910        -14          0   \n",
       "253311  2014     10   31      1459          1      1747        -30          0   \n",
       "253312  2014     10   31       854         -5      1147        -14          0   \n",
       "253313  2014     10   31      1102         -8      1311         16          0   \n",
       "253314  2014     10   31      1106         -4      1325         15          0   \n",
       "253315  2014     10   31       824         -5      1045          1          0   \n",
       "\n",
       "       carrier tailnum  flight origin dest  air_time  distance  hour  min  \\\n",
       "0           AA  N338AA       1    JFK  LAX       359      2475     9   14   \n",
       "1           AA  N335AA       3    JFK  LAX       363      2475    11   57   \n",
       "2           AA  N327AA      21    JFK  LAX       351      2475    19    2   \n",
       "3           AA  N3EHAA      29    LGA  PBI       157      1035     7   22   \n",
       "4           AA  N319AA     117    JFK  LAX       350      2475    13   47   \n",
       "5           AA  N3DEAA     119    EWR  LAX       339      2454    18   24   \n",
       "6           AA  N323AA     185    JFK  LAX       338      2475    21   33   \n",
       "7           AA  N328AA     133    JFK  LAX       356      2475    15   42   \n",
       "8           AA  N5FJAA     145    JFK  MIA       161      1089    15    9   \n",
       "9           AA  N3HYAA     235    JFK  SEA       349      2422    18   48   \n",
       "10          AA  N5CFAA     172    EWR  MIA       161      1085    16   55   \n",
       "11          AA  N332AA     177    JFK  SFO       365      2586    17   52   \n",
       "12          AA  N3JWAA     178    JFK  BOS        39       187    12   53   \n",
       "13          AA  N336AA     181    JFK  LAX       345      2475    19    7   \n",
       "14          AA  N3BCAA     256    JFK  BOS        35       187    17   20   \n",
       "15          AA  N3HPAA     199    JFK  ORD       155       740    17   33   \n",
       "16          AA  N3HFAA     211    JFK  IAH       234      1417    16   40   \n",
       "17          AA  N3DVAA     291    JFK  AUS       232      1521    17   14   \n",
       "18          AA  N471AA     300    EWR  DFW       214      1372    16   11   \n",
       "19          AA  N3KHAA     301    LGA  ORD       142       733     5   53   \n",
       "20          AA  N3BSAA     303    LGA  ORD       143       733     6   23   \n",
       "21          AA  N560AA     305    LGA  ORD       139       733     6   52   \n",
       "22          AA  N3GMAA     307    LGA  ORD       145       733     7   38   \n",
       "23          AA  N553AA     313    LGA  ORD       139       733     8   47   \n",
       "24          AA  N3KDAA     317    LGA  ORD       141       733    10   29   \n",
       "25          AA  N4WNAA     320    EWR  DFW       214      1372    14   49   \n",
       "26          AA  N482AA     325    LGA  ORD       137       733    10   18   \n",
       "27          AA  N570AA     327    LGA  ORD       145       733    11   40   \n",
       "28          AA  N3KRAA     331    LGA  ORD       132       733    13   46   \n",
       "29          AA  N553AA     341    LGA  ORD       136       733    16   12   \n",
       "...        ...     ...     ...    ...  ...       ...       ...   ...  ...   \n",
       "253286      UA  N77530    1218    EWR  TPA       147       997    15   13   \n",
       "253287      UA  N24706    1259    LGA  IAH       195      1416    23   30   \n",
       "253288      UA  N16713    1262    EWR  ORD       110       719     6   59   \n",
       "253289      UA  N37468    1284    EWR  SFO       340      2565    16   31   \n",
       "253290      UA  N41140    1289    EWR  SFO       334      2565     8   21   \n",
       "253291      UA  N76519    1293    EWR  SFO       336      2565    14   59   \n",
       "253292      UA  N29717    1299    EWR  RSW       156      1068     6   47   \n",
       "253293      UA  N73276    1401    EWR  MIA       160      1085    10   39   \n",
       "253294      UA  N36447    1402    EWR  LAX       320      2454    20   28   \n",
       "253295      UA  N76523    1407    EWR  MSY       161      1167     6   24   \n",
       "253296      UA  N34455    1408    EWR  ORD       132       719    10    5   \n",
       "253297      UA  N36472    1416    EWR  FLL       149      1065    19   46   \n",
       "253298      UA  N27477    1417    EWR  CLE        61       404     7   56   \n",
       "253299      UA  N87527    1420    LGA  IAH       200      1416    17    7   \n",
       "253300      UA  N14230    1682    EWR  FLL       151      1065    21   17   \n",
       "253301      UA  N24202    1691    EWR  MIA       155      1085    16    4   \n",
       "253302      UA  N77510    1701    EWR  FLL       151      1065     6    1   \n",
       "253303      UA  N77510    1711    EWR  IAH       198      1400    14   14   \n",
       "253304      UA  N14107    1712    EWR  IAH       195      1400    17   23   \n",
       "253305      UA  N16709    1714    LGA  IAH       198      1416     6    9   \n",
       "253306      UA  N37434    1718    EWR  MIA       151      1085    19   20   \n",
       "253307      UA  N16217    1727    EWR  SFO       344      2565    12   42   \n",
       "253308      UA  N29717    1734    EWR  ORD       100       719    21   21   \n",
       "253309      UA  N37267    1735    EWR  LAX       326      2454    10   49   \n",
       "253310      UA  N28478    1739    EWR  LAS       291      2227    16   53   \n",
       "253311      UA  N23708    1744    LGA  IAH       201      1416    14   59   \n",
       "253312      UA  N33132    1758    EWR  IAH       189      1400     8   54   \n",
       "253313      MQ  N827MQ    3591    LGA  RDU        83       431    11    2   \n",
       "253314      MQ  N511MQ    3592    LGA  DTW        75       502    11    6   \n",
       "253315      MQ  N813MQ    3599    LGA  SDF       110       659     8   24   \n",
       "\n",
       "        is_late  \n",
       "0             1  \n",
       "1             1  \n",
       "2             1  \n",
       "3             0  \n",
       "4             1  \n",
       "5             0  \n",
       "6             0  \n",
       "7             0  \n",
       "8             0  \n",
       "9             0  \n",
       "10            0  \n",
       "11            0  \n",
       "12            1  \n",
       "13            1  \n",
       "14            0  \n",
       "15            1  \n",
       "16            1  \n",
       "17            1  \n",
       "18            1  \n",
       "19            0  \n",
       "20            0  \n",
       "21            0  \n",
       "22            1  \n",
       "23            1  \n",
       "24            1  \n",
       "25            0  \n",
       "26            1  \n",
       "27            1  \n",
       "28            1  \n",
       "29            1  \n",
       "...         ...  \n",
       "253286        0  \n",
       "253287        1  \n",
       "253288        0  \n",
       "253289        1  \n",
       "253290        0  \n",
       "253291        1  \n",
       "253292        0  \n",
       "253293        1  \n",
       "253294        0  \n",
       "253295        0  \n",
       "253296        1  \n",
       "253297        1  \n",
       "253298        0  \n",
       "253299        0  \n",
       "253300        0  \n",
       "253301        0  \n",
       "253302        0  \n",
       "253303        0  \n",
       "253304        0  \n",
       "253305        0  \n",
       "253306        1  \n",
       "253307        1  \n",
       "253308        1  \n",
       "253309        0  \n",
       "253310        0  \n",
       "253311        0  \n",
       "253312        0  \n",
       "253313        1  \n",
       "253314        1  \n",
       "253315        1  \n",
       "\n",
       "[253316 rows x 18 columns]"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    253316.000000\n",
       "mean          8.146702\n",
       "std          45.749452\n",
       "min        -112.000000\n",
       "25%         -15.000000\n",
       "50%          -4.000000\n",
       "75%          15.000000\n",
       "max        1494.000000\n",
       "Name: arr_delay, dtype: float64"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.arr_delay.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffe934efa90>"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEACAYAAABCl1qQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nERF9pVhERERfKRYREdHX/wchef+Rd6UtEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffe93714c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.arr_delay.hist(bins=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[\"is_late\"] = df.arr_delay.apply(lambda delay: 1.0 if delay>0 else 0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffe93563dd0>"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEACAYAAACgS0HpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffe934e5450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.is_late.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for col in df.columns:\n",
    "    if df[col].dtype==object:\n",
    "        df[col] = df[col].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Create test and train data sets\n",
    "msk = np.random.rand(len(df)) < 0.8\n",
    "\n",
    "train = df[msk]\n",
    "test = df[~msk]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "202634 50682\n"
     ]
    }
   ],
   "source": [
    "print len(train), len(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year           int64\n",
       "month          int64\n",
       "day            int64\n",
       "dep_time       int64\n",
       "dep_delay      int64\n",
       "arr_time       int64\n",
       "arr_delay      int64\n",
       "cancelled      int64\n",
       "carrier       object\n",
       "tailnum       object\n",
       "flight         int64\n",
       "origin        object\n",
       "dest          object\n",
       "air_time       int64\n",
       "distance       int64\n",
       "hour           int64\n",
       "min            int64\n",
       "is_late      float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=2,\n",
       "            oob_score=False, random_state=None, verbose=0,\n",
       "            warm_start=False)"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Building a model for is_late\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "features = [ x for x in train.columns if x not in [\"is_late\", \"arr_delay\", \"carrier\", \"tailnum\", \"dest\", \"origin\"] ]\n",
    "\n",
    "clf = RandomForestClassifier(n_jobs=2)\n",
    "\n",
    "clf.fit( train[features].values , train[\"is_late\"].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "RES = clf.predict(test[features].values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.83      0.93      0.88     29272\n",
      "        1.0       0.89      0.73      0.80     21410\n",
      "\n",
      "avg / total       0.85      0.85      0.85     50682\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print classification_report(test[\"is_late\"].values, RES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = df.apply(lambda x: pd.factorize(x)[0] if x.name in  [\"carrier\", \"tailnum\", \"dest\", \"origin\"] else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train = df[msk]\n",
    "test = df[~msk]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=2,\n",
       "            oob_score=False, random_state=None, verbose=0,\n",
       "            warm_start=False)"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Building a model for is_late\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "features = [ x for x in train.columns if x not in [\"is_late\", \"arr_delay\"] ]\n",
    "\n",
    "clf = RandomForestClassifier(n_jobs=2)\n",
    "\n",
    "clf.fit( train[features].values , train[\"is_late\"].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "RES = clf.predict(test[features].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.82      0.93      0.87     29281\n",
      "        1.0       0.89      0.72      0.80     21422\n",
      "\n",
      "avg / total       0.85      0.84      0.84     50703\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print classification_report(test[\"is_late\"].values, RES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.3462, 'dep_delay'),\n",
       " (0.1208, 'arr_time'),\n",
       " (0.0903, 'air_time'),\n",
       " (0.0739, 'dep_time'),\n",
       " (0.0581, 'tailnum'),\n",
       " (0.0501, 'day'),\n",
       " (0.0464, 'flight'),\n",
       " (0.046, 'distance'),\n",
       " (0.0455, 'min'),\n",
       " (0.0382, 'month'),\n",
       " (0.0291, 'dest'),\n",
       " (0.028, 'hour'),\n",
       " (0.0173, 'carrier'),\n",
       " (0.0102, 'origin'),\n",
       " (0.0, 'year'),\n",
       " (0.0, 'cancelled')]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(zip(map(lambda x: round(x, 4), clf.feature_importances_), features), reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm, title='Confusion matrix', cmap=plt.cm.Blues):\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(2)\n",
    "    plt.xticks(tick_marks, [\"in time\", \"late\"], rotation=45)\n",
    "    plt.yticks(tick_marks, [\"in time\", \"late\"])\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion matrix, without normalization\n",
      "[[27323  1958]\n",
      " [ 5933 15489]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV4AAAEoCAYAAAAQUJnGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nzOrMgdfMrM7+PwZTq5DNrehwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffe9dc46b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute confusion matrix\n",
    "cm = confusion_matrix(test[\"is_late\"].values, RES)\n",
    "np.set_printoptions(precision=2)\n",
    "print('Confusion matrix, without normalization')\n",
    "print(cm)\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}