def PrepareCorrResults(df):

    """
    Pass it a dataframe, and it returns Pairwise Pearson correlation coefficient values 
    for the entire variables of the datadframe.
    The first columns of the returned dfCORR contains correlation values of the classvariable
    versus all other variables. 
    """
    dfCORR = df.corr()    
    dfCORR.reset_index(level=0, inplace=True)
    dfCORR = dfCORR.rename(columns={'index':'Variable'})
    return dfCORR