Delete tools/flights/test.ipynb

tools/flights/test.ipynb

@@ -1,1063 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "041c9721",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "data = pd.read_csv('/home/xj/toolAugEnv/code/toolConstraint/database/flights/Combined_Flights_2022.csv')\n",
-    "# df.to_csv('/home/xj/toolAugEnv/code/toolConstraint/database/flights/clean_Flights_2022.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "03d0f39e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "FlightDate                      2022-03-15\n",
-       "Airline               Delta Air Lines Inc.\n",
-       "Origin                                 LAS\n",
-       "Dest                                   SLC\n",
-       "Cancelled                            False\n",
-       "                              ...         \n",
-       "ArrDel15                               0.0\n",
-       "ArrivalDelayGroups                    -2.0\n",
-       "ArrTimeBlk                       1600-1659\n",
-       "DistanceGroup                            2\n",
-       "DivAirportLandings                       0\n",
-       "Name: 3504987, Length: 61, dtype: object"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.iloc[3504987]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "036418f5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_dict = data.to_dict(orient = 'split')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "ef12c4b3",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "FlightDate 2022-01-29\n",
-      "Airline Frontier Airlines Inc.\n",
-      "Origin COS\n",
-      "Dest LAS\n",
-      "Cancelled False\n",
-      "Diverted False\n",
-      "CRSDepTime 1558\n",
-      "DepTime 1553.0\n",
-      "DepDelayMinutes 0.0\n",
-      "DepDelay -5.0\n",
-      "ArrTime 1646.0\n",
-      "ArrDelayMinutes 0.0\n",
-      "AirTime 91.0\n",
-      "CRSElapsedTime 124.0\n",
-      "ActualElapsedTime 113.0\n",
-      "Distance 604.0\n",
-      "Year 2022\n",
-      "Quarter 1\n",
-      "Month 1\n",
-      "DayofMonth 29\n",
-      "DayOfWeek 6\n",
-      "Marketing_Airline_Network F9\n",
-      "Operated_or_Branded_Code_Share_Partners F9\n",
-      "DOT_ID_Marketing_Airline 20436\n",
-      "IATA_Code_Marketing_Airline F9\n",
-      "Flight_Number_Marketing_Airline 2019\n",
-      "Operating_Airline F9\n",
-      "DOT_ID_Operating_Airline 20436\n",
-      "IATA_Code_Operating_Airline F9\n",
-      "Tail_Number N235FR\n",
-      "Flight_Number_Operating_Airline 2019\n",
-      "OriginAirportID 11109\n",
-      "OriginAirportSeqID 1110902\n",
-      "OriginCityMarketID 30189\n",
-      "OriginCityName Colorado Springs, CO\n",
-      "OriginState CO\n",
-      "OriginStateFips 8\n",
-      "OriginStateName Colorado\n",
-      "OriginWac 82\n",
-      "DestAirportID 12889\n",
-      "DestAirportSeqID 1288903\n",
-      "DestCityMarketID 32211\n",
-      "DestCityName Las Vegas, NV\n",
-      "DestState NV\n",
-      "DestStateFips 32\n",
-      "DestStateName Nevada\n",
-      "DestWac 85\n",
-      "DepDel15 0.0\n",
-      "DepartureDelayGroups -1.0\n",
-      "DepTimeBlk 1500-1559\n",
-      "TaxiOut 13.0\n",
-      "WheelsOff 1606.0\n",
-      "WheelsOn 1637.0\n",
-      "TaxiIn 9.0\n",
-      "CRSArrTime 1702\n",
-      "ArrDelay -16.0\n",
-      "ArrDel15 0.0\n",
-      "ArrivalDelayGroups -2.0\n",
-      "ArrTimeBlk 1700-1759\n",
-      "DistanceGroup 3\n",
-      "DivAirportLandings 0\n"
-     ]
-    }
-   ],
-   "source": [
-    "for idx,unit in enumerate(data_dict['columns']):\n",
-    "    print(unit, data_dict['data'][3000020][idx])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "372b3fd9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['2022-01-29',\n",
-       " 'Frontier Airlines Inc.',\n",
-       " 'COS',\n",
-       " 'LAS',\n",
-       " False,\n",
-       " False,\n",
-       " 1558,\n",
-       " 1553.0,\n",
-       " 0.0,\n",
-       " -5.0,\n",
-       " 1646.0,\n",
-       " 0.0,\n",
-       " 91.0,\n",
-       " 124.0,\n",
-       " 113.0,\n",
-       " 604.0,\n",
-       " 2022,\n",
-       " 1,\n",
-       " 1,\n",
-       " 29,\n",
-       " 6,\n",
-       " 'F9',\n",
-       " 'F9',\n",
-       " 20436,\n",
-       " 'F9',\n",
-       " 2019,\n",
-       " 'F9',\n",
-       " 20436,\n",
-       " 'F9',\n",
-       " 'N235FR',\n",
-       " 2019,\n",
-       " 11109,\n",
-       " 1110902,\n",
-       " 30189,\n",
-       " 'Colorado Springs, CO',\n",
-       " 'CO',\n",
-       " 8,\n",
-       " 'Colorado',\n",
-       " 82,\n",
-       " 12889,\n",
-       " 1288903,\n",
-       " 32211,\n",
-       " 'Las Vegas, NV',\n",
-       " 'NV',\n",
-       " 32,\n",
-       " 'Nevada',\n",
-       " 85,\n",
-       " 0.0,\n",
-       " -1.0,\n",
-       " '1500-1559',\n",
-       " 13.0,\n",
-       " 1606.0,\n",
-       " 1637.0,\n",
-       " 9.0,\n",
-       " 1702,\n",
-       " -16.0,\n",
-       " 0.0,\n",
-       " -2.0,\n",
-       " '1700-1759',\n",
-       " 3,\n",
-       " 0]"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data_dict['data'][3000020]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "371a85fd",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4078318\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(len(data_dict['data']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "64d46483",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "FlightDate 0\n",
-      "DepTime 7\n",
-      "ArrTime 10\n",
-      "ActualElapsedTime 14\n",
-      "Distance 15\n",
-      "OriginCityName 34\n",
-      "DestCityName 42\n"
-     ]
-    }
-   ],
-   "source": [
-    "for idx,unit in enumerate(data_dict['columns']):\n",
-    "    if unit in ['FlightDate','DepTime','ArrTime','ActualElapsedTime','Distance','OriginCityName','DestCityName']:\n",
-    "        print(unit, str(idx))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "81047adf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import math\n",
-    "def convert_to_hhmm(time_float):\n",
-    "    \"\"\"\n",
-    "    Convert a float time to hh:mm format\n",
-    "    :param time_float: Time as a float. Example: 757.0\n",
-    "    :return: Time in hh:mm format. Example: \"07:57\"\n",
-    "    \"\"\"\n",
-    "    try:\n",
-    "        hours = int(time_float // 100)\n",
-    "        minutes = int(time_float % 100)\n",
-    "        return \"{:02d}:{:02d}\".format(hours, minutes)\n",
-    "    except:\n",
-    "        return time_float\n",
-    "\n",
-    "def minutes_to_hours_minutes(minutes):\n",
-    "    # Check for NaN and handle it\n",
-    "    if math.isnan(minutes):\n",
-    "        return \"NaN\"\n",
-    "    \n",
-    "    # Ensure minutes is an integer or rounded to the nearest integer\n",
-    "    minutes = round(minutes)\n",
-    "    \n",
-    "    hours = minutes // 60\n",
-    "    remaining_minutes = minutes % 60\n",
-    "    return f\"{hours} hours {remaining_minutes} minutes\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "ee34cbde",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b60c3d13fb6d44258103c6251365272b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "0it [00:00, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from tqdm.autonotebook import tqdm\n",
-    "import random\n",
-    "new_data = []\n",
-    "for idx, unit in tqdm(enumerate(data_dict['data'])):\n",
-    "    tmp_dict = {k:\"\" for k in ['FlightDate','DepTime','ArrTime','ActualElapsedTime','Distance','OriginCityName','DestCityName','Price']}\n",
-    "    tmp_dict['FlightDate'] = unit[0]\n",
-    "    tmp_dict['DepTime'] = convert_to_hhmm(unit[7])\n",
-    "    tmp_dict['ArrTime'] = convert_to_hhmm(unit[10])\n",
-    "    tmp_dict['ActualElapsedTime'] = minutes_to_hours_minutes(unit[14])\n",
-    "    tmp_dict['Distance'] = unit[15]\n",
-    "    tmp_dict['OriginCityName'] = unit[34].split(',')[0].split('/')[0]\n",
-    "    tmp_dict['DestCityName'] = unit[42].split(',')[0].split('/')[0]\n",
-    "    tmp_dict['Price'] = int((unit[15]) * random.uniform(0.2,0.5))\n",
-    "    new_data.append(tmp_dict)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "aee3f422",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'FlightDate': '2022-01-29',\n",
-       " 'DepTime': '15:53',\n",
-       " 'ArrTime': '16:46',\n",
-       " 'ActualElapsedTime': '1 hours 53 minutes',\n",
-       " 'Distance': 604.0,\n",
-       " 'OriginCityName': 'Colorado Springs',\n",
-       " 'DestCityName': 'Las Vegas',\n",
-       " 'Price': 205}"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_data[3000020]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "id": "bfb243c0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = pd.DataFrame(new_data)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "id": "f152a150",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>FlightDate</th>\n",
-       "      <th>DepTime</th>\n",
-       "      <th>ArrTime</th>\n",
-       "      <th>ActualElapsedTime</th>\n",
-       "      <th>Distance</th>\n",
-       "      <th>OriginCityName</th>\n",
-       "      <th>DestCityName</th>\n",
-       "      <th>Price</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>3488394</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>07:24</td>\n",
-       "      <td>15:15</td>\n",
-       "      <td>4 hours 51 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>720</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3509382</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>22:29</td>\n",
-       "      <td>06:07</td>\n",
-       "      <td>4 hours 38 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3736056</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>23:33</td>\n",
-       "      <td>07:16</td>\n",
-       "      <td>4 hours 43 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>1199</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3736260</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>14:37</td>\n",
-       "      <td>22:05</td>\n",
-       "      <td>4 hours 28 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>950</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3736313</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>09:11</td>\n",
-       "      <td>17:17</td>\n",
-       "      <td>5 hours 6 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>1050</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3776858</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>21:01</td>\n",
-       "      <td>04:32</td>\n",
-       "      <td>4 hours 31 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>1146</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3778565</th>\n",
-       "      <td>2022-03-01</td>\n",
-       "      <td>13:18</td>\n",
-       "      <td>21:08</td>\n",
-       "      <td>4 hours 50 minutes</td>\n",
-       "      <td>2422.0</td>\n",
-       "      <td>Seattle</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>578</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         FlightDate DepTime ArrTime   ActualElapsedTime  Distance   \n",
-       "3488394  2022-03-01   07:24   15:15  4 hours 51 minutes    2422.0  \\\n",
-       "3509382  2022-03-01   22:29   06:07  4 hours 38 minutes    2422.0   \n",
-       "3736056  2022-03-01   23:33   07:16  4 hours 43 minutes    2422.0   \n",
-       "3736260  2022-03-01   14:37   22:05  4 hours 28 minutes    2422.0   \n",
-       "3736313  2022-03-01   09:11   17:17   5 hours 6 minutes    2422.0   \n",
-       "3776858  2022-03-01   21:01   04:32  4 hours 31 minutes    2422.0   \n",
-       "3778565  2022-03-01   13:18   21:08  4 hours 50 minutes    2422.0   \n",
-       "\n",
-       "        OriginCityName DestCityName  Price  \n",
-       "3488394        Seattle     New York    720  \n",
-       "3509382        Seattle     New York    484  \n",
-       "3736056        Seattle     New York   1199  \n",
-       "3736260        Seattle     New York    950  \n",
-       "3736313        Seattle     New York   1050  \n",
-       "3776858        Seattle     New York   1146  \n",
-       "3778565        Seattle     New York    578  "
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[(df['OriginCityName']=='Seattle') & (df['DestCityName']=='New York')& (df['FlightDate']=='2022-03-01')]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "id": "9f85d8e6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['Flight Number'] = df.index"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "id": "045df94c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = df.reset_index(drop=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4e1b68b7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 91,
-   "id": "5c7d3b44",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.index = df.index.map(lambda x: str(x).zfill(7))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "id": "7a1f223c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['Flight Number'] = 'F' + df['Flight Number'].astype(str)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 97,
-   "id": "af7e3411",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.to_csv('/home/xj/toolAugEnv/code/toolConstraint/database/flights/clean_Flights_2022.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
-   "id": "461e83ef",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "x = df[df['OriginCityName']=='Montrose']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "ed4e2107",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "x = df[df['DestCityName']=='Montrose']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 96,
-   "id": "56c918e3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>FlightDate</th>\n",
-       "      <th>DepTime</th>\n",
-       "      <th>ArrTime</th>\n",
-       "      <th>ActualElapsedTime</th>\n",
-       "      <th>Distance</th>\n",
-       "      <th>OriginCityName</th>\n",
-       "      <th>DestCityName</th>\n",
-       "      <th>Price</th>\n",
-       "      <th>Flight Number</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4155</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>10:42</td>\n",
-       "      <td>11:34</td>\n",
-       "      <td>0 hours 52 minutes</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Denver</td>\n",
-       "      <td>42</td>\n",
-       "      <td>F0004155</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4156</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>14:43</td>\n",
-       "      <td>15:32</td>\n",
-       "      <td>0 hours 49 minutes</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Denver</td>\n",
-       "      <td>64</td>\n",
-       "      <td>F0004156</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4157</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>17:38</td>\n",
-       "      <td>18:58</td>\n",
-       "      <td>1 hours 20 minutes</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Denver</td>\n",
-       "      <td>97</td>\n",
-       "      <td>F0004157</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7439</th>\n",
-       "      <td>2022-04-02</td>\n",
-       "      <td>13:38</td>\n",
-       "      <td>16:32</td>\n",
-       "      <td>1 hours 54 minutes</td>\n",
-       "      <td>733.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Dallas</td>\n",
-       "      <td>151</td>\n",
-       "      <td>F0007439</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7440</th>\n",
-       "      <td>2022-04-02</td>\n",
-       "      <td>12:37</td>\n",
-       "      <td>13:29</td>\n",
-       "      <td>0 hours 52 minutes</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Denver</td>\n",
-       "      <td>54</td>\n",
-       "      <td>F0007440</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4045139</th>\n",
-       "      <td>2022-03-27</td>\n",
-       "      <td>11:50</td>\n",
-       "      <td>12:17</td>\n",
-       "      <td>1 hours 27 minutes</td>\n",
-       "      <td>419.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Phoenix</td>\n",
-       "      <td>133</td>\n",
-       "      <td>F4045139</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4045140</th>\n",
-       "      <td>2022-03-28</td>\n",
-       "      <td>11:45</td>\n",
-       "      <td>12:22</td>\n",
-       "      <td>1 hours 37 minutes</td>\n",
-       "      <td>419.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Phoenix</td>\n",
-       "      <td>188</td>\n",
-       "      <td>F4045140</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4045141</th>\n",
-       "      <td>2022-03-29</td>\n",
-       "      <td>11:35</td>\n",
-       "      <td>12:17</td>\n",
-       "      <td>1 hours 42 minutes</td>\n",
-       "      <td>419.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Phoenix</td>\n",
-       "      <td>144</td>\n",
-       "      <td>F4045141</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4045142</th>\n",
-       "      <td>2022-03-30</td>\n",
-       "      <td>11:38</td>\n",
-       "      <td>12:13</td>\n",
-       "      <td>1 hours 35 minutes</td>\n",
-       "      <td>419.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Phoenix</td>\n",
-       "      <td>125</td>\n",
-       "      <td>F4045142</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4045143</th>\n",
-       "      <td>2022-03-31</td>\n",
-       "      <td>11:40</td>\n",
-       "      <td>12:19</td>\n",
-       "      <td>1 hours 39 minutes</td>\n",
-       "      <td>419.0</td>\n",
-       "      <td>Montrose</td>\n",
-       "      <td>Phoenix</td>\n",
-       "      <td>129</td>\n",
-       "      <td>F4045143</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2035 rows × 9 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         FlightDate DepTime ArrTime   ActualElapsedTime  Distance   \n",
-       "4155     2022-04-01   10:42   11:34  0 hours 52 minutes     196.0  \\\n",
-       "4156     2022-04-01   14:43   15:32  0 hours 49 minutes     196.0   \n",
-       "4157     2022-04-01   17:38   18:58  1 hours 20 minutes     196.0   \n",
-       "7439     2022-04-02   13:38   16:32  1 hours 54 minutes     733.0   \n",
-       "7440     2022-04-02   12:37   13:29  0 hours 52 minutes     196.0   \n",
-       "...             ...     ...     ...                 ...       ...   \n",
-       "4045139  2022-03-27   11:50   12:17  1 hours 27 minutes     419.0   \n",
-       "4045140  2022-03-28   11:45   12:22  1 hours 37 minutes     419.0   \n",
-       "4045141  2022-03-29   11:35   12:17  1 hours 42 minutes     419.0   \n",
-       "4045142  2022-03-30   11:38   12:13  1 hours 35 minutes     419.0   \n",
-       "4045143  2022-03-31   11:40   12:19  1 hours 39 minutes     419.0   \n",
-       "\n",
-       "        OriginCityName DestCityName  Price Flight Number  \n",
-       "4155          Montrose       Denver     42      F0004155  \n",
-       "4156          Montrose       Denver     64      F0004156  \n",
-       "4157          Montrose       Denver     97      F0004157  \n",
-       "7439          Montrose       Dallas    151      F0007439  \n",
-       "7440          Montrose       Denver     54      F0007440  \n",
-       "...                ...          ...    ...           ...  \n",
-       "4045139       Montrose      Phoenix    133      F4045139  \n",
-       "4045140       Montrose      Phoenix    188      F4045140  \n",
-       "4045141       Montrose      Phoenix    144      F4045141  \n",
-       "4045142       Montrose      Phoenix    125      F4045142  \n",
-       "4045143       Montrose      Phoenix    129      F4045143  \n",
-       "\n",
-       "[2035 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 96,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "x"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "74dfd3cd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "    .dataframe thead th {\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>FlightDate</th>\n",
-       "      <th>DepTime</th>\n",
-       "      <th>ArrTime</th>\n",
-       "      <th>ActualElapsedTime</th>\n",
-       "      <th>Distance</th>\n",
-       "      <th>OriginCityName</th>\n",
-       "      <th>DestCityName</th>\n",
-       "      <th>Price</th>\n",
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-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1369</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>09:04</td>\n",
-       "      <td>10:23</td>\n",
-       "      <td>1 hours 19 minutes</td>\n",
-       "      <td>229.0</td>\n",
-       "      <td>Washington</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>105</td>\n",
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-       "    <tr>\n",
-       "      <th>1370</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>11:07</td>\n",
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-       "      <td>1 hours 22 minutes</td>\n",
-       "      <td>229.0</td>\n",
-       "      <td>Washington</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>56</td>\n",
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-       "    <tr>\n",
-       "      <th>1380</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>13:20</td>\n",
-       "      <td>14:52</td>\n",
-       "      <td>1 hours 32 minutes</td>\n",
-       "      <td>229.0</td>\n",
-       "      <td>Washington</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>95</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1409</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>19:03</td>\n",
-       "      <td>20:23</td>\n",
-       "      <td>1 hours 20 minutes</td>\n",
-       "      <td>229.0</td>\n",
-       "      <td>Washington</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>71</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1436</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>15:32</td>\n",
-       "      <td>17:03</td>\n",
-       "      <td>1 hours 31 minutes</td>\n",
-       "      <td>229.0</td>\n",
-       "      <td>Washington</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>64</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>565444</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>22:55</td>\n",
-       "      <td>07:09</td>\n",
-       "      <td>5 hours 14 minutes</td>\n",
-       "      <td>2475.0</td>\n",
-       "      <td>Los Angeles</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>621</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>565446</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>11:39</td>\n",
-       "      <td>19:49</td>\n",
-       "      <td>5 hours 10 minutes</td>\n",
-       "      <td>2475.0</td>\n",
-       "      <td>Los Angeles</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>1100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>565511</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>15:48</td>\n",
-       "      <td>22:16</td>\n",
-       "      <td>4 hours 28 minutes</td>\n",
-       "      <td>1620.0</td>\n",
-       "      <td>Denver</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>575</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>565541</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>17:36</td>\n",
-       "      <td>23:05</td>\n",
-       "      <td>3 hours 29 minutes</td>\n",
-       "      <td>1620.0</td>\n",
-       "      <td>Denver</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>669</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>565581</th>\n",
-       "      <td>2022-04-01</td>\n",
-       "      <td>20:52</td>\n",
-       "      <td>23:48</td>\n",
-       "      <td>1 hours 56 minutes</td>\n",
-       "      <td>733.0</td>\n",
-       "      <td>Chicago</td>\n",
-       "      <td>New York</td>\n",
-       "      <td>338</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>889 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        FlightDate DepTime ArrTime   ActualElapsedTime  Distance   \n",
-       "1369    2022-04-01   09:04   10:23  1 hours 19 minutes     229.0  \\\n",
-       "1370    2022-04-01   11:07   12:29  1 hours 22 minutes     229.0   \n",
-       "1380    2022-04-01   13:20   14:52  1 hours 32 minutes     229.0   \n",
-       "1409    2022-04-01   19:03   20:23  1 hours 20 minutes     229.0   \n",
-       "1436    2022-04-01   15:32   17:03  1 hours 31 minutes     229.0   \n",
-       "...            ...     ...     ...                 ...       ...   \n",
-       "565444  2022-04-01   22:55   07:09  5 hours 14 minutes    2475.0   \n",
-       "565446  2022-04-01   11:39   19:49  5 hours 10 minutes    2475.0   \n",
-       "565511  2022-04-01   15:48   22:16  4 hours 28 minutes    1620.0   \n",
-       "565541  2022-04-01   17:36   23:05  3 hours 29 minutes    1620.0   \n",
-       "565581  2022-04-01   20:52   23:48  1 hours 56 minutes     733.0   \n",
-       "\n",
-       "       OriginCityName DestCityName  Price  \n",
-       "1369       Washington     New York    105  \n",
-       "1370       Washington     New York     56  \n",
-       "1380       Washington     New York     95  \n",
-       "1409       Washington     New York     71  \n",
-       "1436       Washington     New York     64  \n",
-       "...               ...          ...    ...  \n",
-       "565444    Los Angeles     New York    621  \n",
-       "565446    Los Angeles     New York   1100  \n",
-       "565511         Denver     New York    575  \n",
-       "565541         Denver     New York    669  \n",
-       "565581        Chicago     New York    338  \n",
-       "\n",
-       "[889 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "x[x['FlightDate']=='2022-04-01']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "id": "93c2a26f",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['Manhattan', 'Ft. Riley']\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('Manhattan/Ft. Riley'.split('/'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "86b394bf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}