def _adjust_if_absolute()

in spotify_confidence/analysis/frequentist/confidence_computers/confidence_computer.py [0:0]

• 14 lines of code
• 2 McCabe index (conditional complexity)

def _adjust_if_absolute(df: DataFrame, absolute: bool) -> DataFrame:
    if absolute:
        return df.assign(absolute_difference=absolute)
    else:
        return (
            df.assign(absolute_difference=absolute)
            .assign(**{DIFFERENCE: df[DIFFERENCE] / df[POINT_ESTIMATE + SFX1]})
            .assign(**{CI_LOWER: df[CI_LOWER] / df[POINT_ESTIMATE + SFX1]})
            .assign(**{CI_UPPER: df[CI_UPPER] / df[POINT_ESTIMATE + SFX1]})
            .assign(**{ADJUSTED_LOWER: df[ADJUSTED_LOWER] / df[POINT_ESTIMATE + SFX1]})
            .assign(**{ADJUSTED_UPPER: df[ADJUSTED_UPPER] / df[POINT_ESTIMATE + SFX1]})
            .assign(**{NULL_HYPOTHESIS: df[NULL_HYPOTHESIS] / df[POINT_ESTIMATE + SFX1]})
            .assign(**{POWERED_EFFECT: df[POWERED_EFFECT] / df[POINT_ESTIMATE + SFX1]})
        )