# Create a pandas column using for loop in Python # importing librariesimport pandas as pdimport numpy as np  raw_Data = {'Voter_name': ['Geek1', 'Geek2', 'Geek3', 'Geek4',                            'Geek5', 'Geek6', 'Geek7', 'Geek8'],             'Voter_age': [15, 23, 25, 9, 67, 54, 42, np.NaN]}  df = pd.DataFrame(raw_Data, columns = ['Voter_name', 'Voter_age'])#       //DataFrame will look like## Voter_name          Voter_age# Geek1                15# Geek2                23# Geek3                25# Geek4                09# Geek5                67# Geek6                54# Geek7                42# Geek8           not a number  eligible = []  # For each row in the columnfor age in df['Voter_age']:           if age >= 18:                   # if Voter eligible        eligible.append('Yes')    elif age < 18:                  # if voter is not eligible        eligible.append("No")    else:        eligible.append("Not Sure")  # Create a column from the listdf['Voter'] = eligible              print(df)