## How to create a new column based on a condition in Python
def Kickstarter_Example_81():
    print()
    print(format('How to create a new column based on a condition in Python','*^82'))

    import warnings
    warnings.filterwarnings("ignore")

    # load libraries
    import pandas as pd
    import numpy as np

    # Make a dataframe
    data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
            'age': [42, 52, 63, 24, 73],
            'preTestScore': [4, 24, 31, 2, 3],
            'postTestScore': [25, 94, 57, 62, 70]}

    df = pd.DataFrame(data, columns = ['name', 'age', 'preTestScore', 'postTestScore'])
    print(); print(df)

    # Create a new column called df.elderly where the value is yes
    df['elderly@50'] = np.where(df['age']>=50, 'yes', 'no')
    df['elderly@60'] = np.where(df['age']>=60, 'yes', 'no')
    df['elderly@70'] = np.where(df['age']>=70, 'yes', 'no')

    # View the dataframe
    print(); print(df)

Kickstarter_Example_81()