samestats.py 文件源码

def is_error_still_ok(df1, df2, decimals=2):
    """Checks to see if the statistics are still within the acceptable bounds

    Args:
        df1 (pd.DataFrame): The original data set
        df2 (pd.DataFrame): The test data set
        decimals (int):     The number of decimals of precision to check

    Returns:
        bool: ``True`` if the maximum error is acceptable, ``False`` otherwise
    """
    r1 = get_values(df1)
    r2 = get_values(df2)

    # check each of the error values to check if they are the same to the
    # correct number of decimals
    r1 = [math.floor(r * 10**decimals) for r in r1]
    r2 = [math.floor(r * 10**decimals) for r in r2]

    # we are good if r1 and r2 have the same numbers
    er = np.subtract(r1, r2)
    er = [abs(n) for n in er]

    return np.max(er) == 0