Reformatted the code using black

Author: Sarmad426

9-Pandas/2-table-operations.ipynb

@@ -2973,7 +2973,7 @@
     "    \"F\": \"Fail\",\n",
     "}\n",
     "\n",
-    "result_card[\"Remarks\"] = result_card['Grade'].map(remarks)\n",
+    "result_card[\"Remarks\"] = result_card[\"Grade\"].map(remarks)\n",
     "\n",
     "result_card"
    ]

9-Pandas/3-pandas.ipynb

@@ -42,7 +42,15 @@
     "np.random.seed(0)\n",
     "num_records = 100\n",
     "\n",
-    "AIRLINES = ['PIA', 'Qatar Airways', 'Emirates',\"Japan Airways\",\"American Airline\",\"Tata Airline\", \"Saudi Airline\"]\n",
+    "AIRLINES = [\n",
+    "    \"PIA\",\n",
+    "    \"Qatar Airways\",\n",
+    "    \"Emirates\",\n",
+    "    \"Japan Airways\",\n",
+    "    \"American Airline\",\n",
+    "    \"Tata Airline\",\n",
+    "    \"Saudi Airline\",\n",
+    "]\n",
     "\n",
     "CITIES = [\n",
     "    \"Dubai\",\n",
@@ -64,25 +72,25 @@
     "]\n",
     "\n",
     "flights_data = {\n",
-    "    'FlightID': np.arange(1, num_records + 1),\n",
-    "    'Airline': np.random.choice(AIRLINES, num_records),\n",
-    "    'Destination': np.random.choice(CITIES, num_records),\n",
-    "    'Duration': np.random.randint(60, 360, num_records),  # Duration in minutes\n",
-    "    'Delay': np.random.randint(0, 120, num_records)  # Delay in minutes\n",
+    "    \"FlightID\": np.arange(1, num_records + 1),\n",
+    "    \"Airline\": np.random.choice(AIRLINES, num_records),\n",
+    "    \"Destination\": np.random.choice(CITIES, num_records),\n",
+    "    \"Duration\": np.random.randint(60, 360, num_records),  # Duration in minutes\n",
+    "    \"Delay\": np.random.randint(0, 120, num_records),  # Delay in minutes\n",
     "}\n",
     "\n",
     "flights_df = pd.DataFrame(flights_data)\n",
-    "flights_df.to_csv('random_flights_data.csv', index=False)\n",
+    "flights_df.to_csv(\"random_flights_data.csv\", index=False)\n",
     "\n",
     "# Read the CSV file using pandas\n",
-    "flights_df = pd.read_csv('random_flights_data.csv')\n",
+    "flights_df = pd.read_csv(\"random_flights_data.csv\")\n",
     "\n",
     "# Display the first few rows of the dataframe\n",
     "print(flights_df.head())\n",
     "\n",
     "# Perform operations on the data\n",
     "# Example: Calculate the average duration and delay for each airline\n",
-    "average_stats = flights_df.groupby('Airline')[['Duration', 'Delay']].mean()\n",
+    "average_stats = flights_df.groupby(\"Airline\")[[\"Duration\", \"Delay\"]].mean()\n",
     "print(average_stats)"
    ]
   }