multcomp.py 文件源码

def bonferroni(p, axis=-1):
    """Bonferroni correction

    Args:
        p: array
            Array of p-values

    Kargs:
        axis: int, optional, [def: -1]
            Axis to apply the Bonferroni correction. If axis is -1,
            the correction is applied through all dimensions.

    Return:
        Corrected pvalues
    """
    if axis == -1:
        fact = len(np.ravel(p))
    else:
        fact = p.shape[axis]
    return fact*p