bundles / numpy 2.4.3 / numpy / ma / extras / mask_cols

function

`numpy.ma.extras:mask_cols`

source: /numpy/ma/extras.py:1175

Signature

def mask_cols(a, axis = <no value>)

Summary

Mask columns of a 2D array that contain masked values.

Extended Summary

This function is a shortcut to mask_rowcols with axis equal to 1.

Examples

import numpy as np
a = np.zeros((3, 3), dtype=int)
a[1, 1] = 1
a
a = np.ma.masked_equal(a, 1)
a
np.ma.mask_cols(a)

✓

masked_array(
  data=[[0, --, 0],
        [0, --, 0],
        [0, --, 0]],
  mask=[[False,  True, False],
        [False,  True, False],
        [False,  True, False]],
  fill_value=1)

See also

mask_rowcols: Mask rows and/or columns of a 2D array.
masked_where: Mask where a condition is met.

Aliases

numpy.ma.mask_cols