data/area_based/vb58q98h.py

def true_code():
    import numpy as np
    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")
    ncap_funding_data.replace('-', np.nan, inplace=True)
    ncap_funding_data['Amount released during FY 2019-20'] = ncap_funding_data['Amount released during FY 2019-20'].astype('float64')
    ncap_funding_data['Amount released during FY 2020-21'] = ncap_funding_data['Amount released during FY 2020-21'].astype('float64')
    ncap_funding_data['Amount released during FY 2021-22'] = ncap_funding_data['Amount released during FY 2021-22'].astype('float64')
    ncap_funding_data['Utilisation as on June 2022'] = ncap_funding_data['Utilisation as on June 2022'].astype('float64')
    
    state_averages = main_data.groupby('state')[['PM2.5', 'PM10']].mean()
    state_averages['combined'] = state_averages['PM2.5'] + state_averages['PM10']
    max_state = state_averages['combined'].idxmax()
    state_area = states_data.loc[states_data['state'] == max_state, 'area (km2)'].iloc[0]
    
    print(state_area)

true_code()