mad_std

astropy.stats.mad_std(data)

Calculate a robust standard deviation using the median absolute deviation (MAD).

The standard deviation estimator is given by:

where is the normal inverse cumulative distribution function evaluated at probability .

Parameters:

data : array-like

Data array or object that can be converted to an array.

Returns:

result : float

The robust standard deviation of the data.

Examples

>>> from astropy.stats import mad_std
>>> from astropy.utils import NumpyRNGContext
>>> from numpy.random import normal
>>> with NumpyRNGContext(12345):
...     data = normal(5, 2, size=(100, 100))
...     mad_std(data)    
2.02327646594