MaskedArray.anom(axis=None, dtype=None)
[source]
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: |
axis : int, optional Axis over which the anomalies are taken. The default is to use the mean of the flattened array as reference. dtype : dtype, optional
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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/numpy-1.12.0/reference/generated/numpy.ma.MaskedArray.anom.html