def ci()

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

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

def ci(df: DataFrame, alpha_column: str, **kwargs: Dict[str, str]) -> Tuple[Series, Series]:
    n1, n2 = kwargs[NUMERATOR] + SFX1, kwargs[NUMERATOR] + SFX2
    d1, d2 = kwargs[DENOMINATOR] + SFX1, kwargs[DENOMINATOR] + SFX2
    return confint_proportions_2indep(
        count1=df[n2],
        nobs1=df[d2],
        count2=df[n1],
        nobs2=df[d1],
        alpha=df[alpha_column],
        compare="diff",
        method="wald",
    )