bundles / numpy 2.4.3 / numpy / ma / extras / count_masked

function

`numpy.ma.extras:count_masked`

source: /numpy/ma/extras.py :66

Signature

def count_masked ( arr , axis = None )

Summary

Count the number of masked elements along the given axis.

Parameters

arr : array_like: An array with (possibly) masked elements.
axis : int, optional: Axis along which to count. If None (default), a flattened version of the array is used.

Returns

count : int, ndarray: The total number of masked elements (axis=None) or the number of masked elements along each slice of the given axis.

Examples

import numpy as np
a = np.arange(9).reshape((3,3))
a = np.ma.array(a)
a[1, 0] = np.ma.masked
a[1, 2] = np.ma.masked
a[2, 1] = np.ma.masked
a

✓

np.ma.count_masked(a)

✗

When the `axis` keyword is used an array is returned.

np.ma.count_masked(a, axis=0)
np.ma.count_masked(a, axis=1)

✓

See also

MaskedArray.count: Count non-masked elements.

Aliases

numpy.ma.count_masked