bundles / numpy 2.4.3 / numpy / ma / core / anom

function

`numpy.ma.core:anom`

source: /numpy/ma/core.py :7063

Signature

def anom ( self , axis = None , dtype = None )

Summary

Compute the anomalies (deviations from the arithmetic mean) along the given axis.

Extended Summary

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: Type to use in computing the variance. For arrays of integer type the default is float32; for arrays of float types it is the same as the array type.

Examples

import numpy as np
a = np.ma.array([1,2,3])
a.anom()

See also

mean: Compute the mean of the array.

Aliases

numpy.ma.anom