🌟Your Machine Learning code example - 16: How to apply functions in a Group in a Pandas DataFrame?

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## How to apply functions in a Group in a Pandas DataFrame
def Kickstarter_Example_69():
    print()
    print(format('How to apply functions in a Group in a Pandas DataFrame','*^82'))

    import warnings
    warnings.filterwarnings("ignore")

    # load libraries
    import pandas as pd

    # Create an example dataframe
    data = {'EmployeeGroup': ['A','A','A','A','A','A','B','B','B','B','B','C','C','C','C','C'],
            'Points': [10,40,50,70,50,50,60,10,40,50,60,70,40,60,40,60]}
    df = pd.DataFrame(data)
    print('\nThe Original DataFrame'); print(df)

    # Apply A Function (Rolling Mean) To The DataFrame, By Group....

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