data/area_based/_ig0_d4x.py

def true_code():
    import pandas as pd
    main_data = pd.read_csv("raw_data/main_data.csv")
    main_data['Timestamp'] = pd.to_datetime(main_data['Timestamp'])
    states_data = pd.read_csv("raw_data/State_data.csv")
    ncap_funding_data = pd.read_csv("raw_data/NCAP_Funding.csv")
    
    state_pm25 = main_data.groupby('state')['PM2.5'].mean().reset_index()
    states_area = states_data[['state', 'area (km2)']]
    merged_df = state_pm25.merge(states_area, on='state', how='inner')
    
    merged_df['pm25_per_km2'] = merged_df['PM2.5'] / merged_df['area (km2)']
    union_territories = ['Delhi', 'Chandigarh', 'Andaman and Nicobar Islands', 
                         'Dadra and Nagar Haveli', 'Daman and Diu', 'Lakshadweep', 
                         'Puducherry', 'Jammu and Kashmir', 'Ladakh']
    ut_df = merged_df[merged_df['state'].isin(union_territories)]
    lowest_pm25_ut = ut_df.loc[ut_df['pm25_per_km2'].idxmin(), 'state']
    
    print(lowest_pm25_ut)

true_code()