robust.scale.mad()

statsmodels.robust.scale.mad

statsmodels.robust.scale.mad(a, c=0.67448975019608171, axis=0, center=<function median>) [source]

The Median Absolute Deviation along given axis of an array

Parameters:

a : array-like Input array. c : float, optional The normalization constant. Defined as scipy.stats.norm.ppf(3/4.), which is approximately .6745. axis : int, optional The defaul is 0. Can also be None. center : callable or float If a callable is provided, such as the default np.median then it is expected to be called center(a). The axis argument will be applied via np.apply_over_axes. Otherwise, provide a float.

Returns:

mad : float mad = median(abs(a - center))/c