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Sarmad426Sarmad426
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Refactored the code
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‎9-Pandas/3-pandas.ipynb

+227-35
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@@ -9,37 +9,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" FlightID Airline Destination Duration Delay\n",
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"0 1 American Airline Sharjah 330 18\n",
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"1 2 Tata Airline Lahore 320 17\n",
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"2 3 PIA Washington 297 93\n",
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"3 4 Japan Airways Alaska 199 84\n",
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"4 5 Japan Airways Madina 146 2\n",
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" Duration Delay\n",
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"Airline \n",
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"American Airline 265.166667 50.777778\n",
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"Emirates 226.500000 61.700000\n",
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"Japan Airways 228.526316 55.736842\n",
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"PIA 227.125000 64.312500\n",
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"Qatar Airways 170.000000 65.875000\n",
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"Saudi Airline 213.500000 45.500000\n",
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"Tata Airline 215.444444 68.555556\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"# Create a random flights data CSV file\n",
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"np.random.seed(0)\n",
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"# np.random.seed(0)\n",
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"num_records = 100\n",
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"\n",
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"AIRLINES = [\n",
@@ -56,9 +34,9 @@
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" \"Dubai\",\n",
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" \"Delhi\",\n",
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" \"Karachi\",\n",
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" \"Riyad\",\n",
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" \"Makkah\",\n",
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" \"Madina\",\n",
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" \"Riyadh\",\n",
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" \"Mecca\",\n",
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" \"Medina\",\n",
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" \"Kuwait\",\n",
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" \"Lahore\",\n",
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" \"Colombo\",\n",
@@ -69,8 +47,15 @@
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" \"Alaska\",\n",
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" \"San Francisco\",\n",
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" \"Washington\",\n",
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"]\n",
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"\n",
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"]\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [],
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"source": [
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"flights_data = {\n",
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" \"FlightID\": np.arange(1, num_records + 1),\n",
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" \"Airline\": np.random.choice(AIRLINES, num_records),\n",
@@ -80,18 +65,225 @@
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"}\n",
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"\n",
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"flights_df = pd.DataFrame(flights_data)\n",
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"flights_df.to_csv(\"random_flights_data.csv\", index=False)\n",
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"\n",
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"flights_df.to_csv(\"random_flights_data.csv\", index=False)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>FlightID</th>\n",
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" <th>Airline</th>\n",
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" <th>Destination</th>\n",
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" <th>Duration</th>\n",
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" <th>Delay</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>Tata Airline</td>\n",
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" <td>Mecca</td>\n",
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" <td>342</td>\n",
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" <td>114</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2</td>\n",
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" <td>Emirates</td>\n",
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" <td>Dubai</td>\n",
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" <td>266</td>\n",
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" <td>57</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>3</td>\n",
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" <td>Emirates</td>\n",
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" <td>Dubai</td>\n",
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" <td>92</td>\n",
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" <td>91</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>4</td>\n",
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" <td>American Airline</td>\n",
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" <td>Washington</td>\n",
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" <td>175</td>\n",
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" <td>89</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>5</td>\n",
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" <td>Saudi Airline</td>\n",
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" <td>Sharjah</td>\n",
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" <td>238</td>\n",
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" <td>3</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" FlightID Airline Destination Duration Delay\n",
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"0 1 Tata Airline Mecca 342 114\n",
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"1 2 Emirates Dubai 266 57\n",
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"2 3 Emirates Dubai 92 91\n",
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"3 4 American Airline Washington 175 89\n",
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"4 5 Saudi Airline Sharjah 238 3"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Read the CSV file using pandas\n",
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"flights_df = pd.read_csv(\"random_flights_data.csv\")\n",
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"\n",
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"# Display the first few rows of the dataframe\n",
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"print(flights_df.head())\n",
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"\n",
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"display(flights_df.head())\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Duration</th>\n",
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" <th>Delay</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Airline</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>American Airline</th>\n",
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" <td>181.600000</td>\n",
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" <td>71.600000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Emirates</th>\n",
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" <td>219.769231</td>\n",
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" <td>64.538462</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Japan Airways</th>\n",
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" <td>181.230769</td>\n",
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" <td>73.307692</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>PIA</th>\n",
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" <td>226.357143</td>\n",
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" <td>47.285714</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Qatar Airways</th>\n",
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" <td>249.684211</td>\n",
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" <td>65.157895</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Saudi Airline</th>\n",
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" <td>214.928571</td>\n",
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" <td>64.928571</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Tata Airline</th>\n",
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" <td>196.416667</td>\n",
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" <td>67.833333</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Duration Delay\n",
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"Airline \n",
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"American Airline 181.600000 71.600000\n",
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"Emirates 219.769231 64.538462\n",
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"Japan Airways 181.230769 73.307692\n",
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"PIA 226.357143 47.285714\n",
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"Qatar Airways 249.684211 65.157895\n",
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"Saudi Airline 214.928571 64.928571\n",
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"Tata Airline 196.416667 67.833333"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"'Max Delay: 73.3076923076923 minutes'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"'Max Duration: 249.68421052631578 minutes'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Perform operations on the data\n",
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"# Example: Calculate the average duration and delay for each airline\n",
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"average_stats = flights_df.groupby(\"Airline\")[[\"Duration\", \"Delay\"]].mean()\n",
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"print(average_stats)"
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"display(average_stats)\n",
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"\n",
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"display(f\"Max Delay: {average_stats['Delay'].max()} minutes\")\n",
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"display(f\"Max Duration: {average_stats['Duration'].max()} minutes\")"
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]
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}
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],

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