def set_alpha_and_adjust_preference()

in spotify_confidence/analysis/frequentist/multiple_comparison.py [0:0]

• 12 lines of code
• 3 McCabe index (conditional complexity)

def set_alpha_and_adjust_preference(df: DataFrame, **kwargs: Dict) -> DataFrame:
    alpha_0 = 1 - kwargs[INTERVAL_SIZE]
    return df.assign(
        **{
            ALPHA: df.apply(
                lambda row: (
                    2 * alpha_0 if kwargs[CORRECTION_METHOD] == SPOT_1 and row[PREFERENCE] != TWO_SIDED else alpha_0
                ),
                axis=1,
            )
        }
    ).assign(**{ADJUSTED_ALPHA_POWER_SAMPLE_SIZE: lambda df: df[ALPHA] / kwargs[NUMBER_OF_COMPARISONS]})