churn_library.py
def add_churn_col(data_df):
    """
    Compute and add Churn data to the given dataframe.

    input:
        data_df: pandas dataframe
    """

    def churn_function(val):
        return 0 if val == "Existing Customer" else 1
    data_df['Churn'] = data_df['Attrition_Flag'].apply(churn_function)

    return data_df

    Compute and add Churn data to the given dataframe.

    input:
        data_df: pandas dataframe
    
Compute and add Churn data to the given dataframe.
input:
data_df: pandas dataframe
Compute and add Churn data to the given dataframe . input : data_df : pandas dataframe
def add_churn_col(data_df):
    def churn_function(val):
        return 0 if val == "Existing Customer" else 1
    data_df['Churn'] = data_df['Attrition_Flag'].apply(churn_function)
    return data_df
def add_churn_col ( data_df ) : def churn_function ( val ) : return 0 if val == "Existing Customer" else 1 data_df [ 'Churn' ] = data_df [ 'Attrition_Flag' ] . apply ( churn_function ) return data_df
Compute and add Churn data to the given dataframe.
Compute and add Churn data to the given dataframe .
"""
    Compute and add Churn data to the given dataframe.

    input:
        data_df: pandas dataframe
    """
data_df