import pandas as pd
import numpy as np

## Read data
def read_data(path):
    try:
        df = pd.read_csv(path)
        return df
    except Exception as e:
        return e

## Return country list
def return_country_list(df):
    return df['country'].unique()

## Return the answer
def find_min_vac_day():
    df = read_data('country_vaccination_stats.csv') # Read data
    country_list = return_country_list(df) # Return countries
   
    for country in country_list:
        country_rows = df[df['country'] == country]
        min_daily_vaccination = country_rows['daily_vaccinations'].min() # Find min dail_vacation in each country
        first_row_index = country_rows.index[0] # By the data observation write the first row in each country_row
        if np.isnan(min_daily_vaccination): # If value not exist
            df.loc[first_row_index, 'daily_vaccinations'] = 0.0 # Fill it with 0
        else:
            df.loc[first_row_index, 'daily_vaccinations'] = min_daily_vaccination # Fill it with min value
    return df
   

def main():
     updated_df = find_min_vac_day()


if __name__ == '__main__':
    main()