Source code for calcey.test_pest_model

#Testing without it as a function
import pandas as pd
#TEST


pesticide_quantity_dict = {
    'pesticide': ['DDT', 'Copper', '2,4-DB'],
    'value': [0.206, 0.250, 0.250]
}



pesticide_quantity_df = pd.DataFrame(pesticide_quantity_dict)


# Emission factors


EF_pest_soil = 0.9



EF_pest_air = 0.1


# Initialize an empty list to store the results


results = []


# Iterate through the DataFrame rows
for index, row in pesticide_quantity_df.iterrows():


    pest_name = row['pesticide']

    pest_quantity = row['value']
    
    # Calculate emissions
    pest_em_soil = pest_quantity * EF_pest_soil
    pest_em_air = pest_quantity * EF_pest_air
    
    # Append the results as a dictionary
    results.append({
        'pesticide_name': pest_name,
        'pest_em_soil': pest_em_soil,
        'pest_em_air': pest_em_air
    })

    # Convert the results list to a DataFrame
    df_emissions = pd.DataFrame(results)
    df_emissions.set_index('pesticide_name', inplace=True)
    return df_emissions
   

calculate_pest_emissions('DDT', amount=1)