churn_library.py
def _heatmap(data_df, output_path):
    """
    Generate and save heatmap for a given pandas dataframe
    input:
        data_df: pandas dataframe
        output_path: path to save the result plot.

    output:
        None
    """

    plt.figure(figsize=(20, 10))
    plot = sns.heatmap(data_df.corr(), annot=False,
                       cmap='Dark2_r', linewidths=2)
    plot.figure.savefig(output_path)
    plt.clf()

    Generate and save heatmap for a given pandas dataframe
    input:
        data_df: pandas dataframe
        output_path: path to save the result plot.

    output:
        None
    
Generate and save heatmap for a given pandas dataframe
input:
data_df: pandas dataframe
output_path: path to save the result plot.

None
Generate and save heatmap for a given pandas dataframe input : data_df : pandas dataframe output_path : path to save the result plot . None
def _heatmap(data_df, output_path):
    plt.figure(figsize=(20, 10))
    plot = sns.heatmap(data_df.corr(), annot=False,
                       cmap='Dark2_r', linewidths=2)
    plot.figure.savefig(output_path)
    plt.clf()
def _heatmap ( data_df , output_path ) : plt . figure ( figsize = ( 20 , 10 ) ) plot = sns . heatmap ( data_df . corr ( ) , annot = False , cmap = 'Dark2_r' , linewidths = 2 ) plot . figure . savefig ( output_path ) plt . clf ( )
Generate and save heatmap for a given pandas dataframe
input:
data_df: pandas dataframe
output_path: path to save the result plot.
Generate and save heatmap for a given pandas dataframe input : data_df : pandas dataframe output_path : path to save the result plot .
"""
    Generate and save heatmap for a given pandas dataframe
    input:
        data_df: pandas dataframe
        output_path: path to save the result plot.

    output:
        None
    """
data_df
output_path