{"folder": 3, "question": "For the year 2018, calculate the average PM2.5 concentration for each season (Winter: December-February, Summer: March-May, and Monsoon: June-September) for station Lal Bahadur Shastri Nagar, Kalaburagi - KSPCB. Identify the season with the highest pollution and suggest potential factors contributing to the increase.", "answer": "Winter Average PM2.5: 67.4923443634478\nMonsoon Average PM2.5: 34.42519611317571\nSummer Average PM2.5: nan", "code": "def true_code():\n    import pandas as pd\n    \n    df = pd.read_csv('data/raw_data/Data.csv', sep=\",\")\n    \n    df['Timestamp'] = pd.to_datetime(df['Timestamp'])\n    df['Year'] = df['Timestamp'].dt.year\n    df['Month'] = df['Timestamp'].dt.month\n    \n    data = df[df['Year'] == 2018]\n    data = data[data['station'] == 'Lal Bahadur Shastri Nagar, Kalaburagi - KSPCB']\n    \n    winter_data = data[(data['Month'] == 12) | (data['Month'] <= 2)]\n    summer_data = data[(data['Month'] >= 3) & (data['Month'] <= 5)]\n    monsoon_data = data[(data['Month'] >= 6) & (data['Month'] <= 9)]\n    \n    summer_avg = summer_data['PM2.5'].mean()\n    winter_avg = winter_data['PM2.5'].mean()\n    monsoon_avg = monsoon_data['PM2.5'].mean()\n    \n    print(\"Winter Average PM2.5:\", winter_avg)\n    print(\"Monsoon Average PM2.5:\", monsoon_avg)\n    print(\"Summer Average PM2.5:\", summer_avg)\n\ntrue_code()", "metadata": {"question_id": 3, "category": "temporal", "answer_category": "multiple", "plot": false, "libraries": ["pandas"]}}