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bundles / numpy 2.5.0.dev0+git20251130.2de293a / numpy / ma / extras / mask_rows

function

numpy.ma.extras:mask_rows

source: build-install/usr/lib/python3.14/site-packages/numpy/ma/extras.py:1124

Signature

def mask_rows(a, axis = <no value>)

Summary

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

Extended Summary

This function is a shortcut to mask_rowcols with axis equal to 0.

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

np.ma.mask_rows(a)
✓
masked_array(
  data=[[0, 0, 0],
        [--, --, --],
        [0, 0, 0]],
  mask=[[False, False, False],
        [ True,  True,  True],
        [False, False, 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_rows