numpy.ma.anomalies(self, axis=None, dtype=None) = <numpy.ma.core._frommethod object>
Compute the anomalies (deviations from the arithmetic mean) along the given axis.
Returns an array of anomalies, with the same shape as the input and where the arithmetic mean is computed along the given axis.
Parameters: 


See also
mean
>>> a = np.ma.array([1,2,3]) >>> a.anom() masked_array(data=[1., 0., 1.], mask=False, fill_value=1e+20)
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.ma.anomalies.html