`numpy.ma.extras:compress_rowcols`

source: build-install/usr/lib/python3.14/site-packages/numpy/ma/extras.py:899

Signature

def compress_rowcols(x, axis = None)

Summary

Suppress the rows and/or columns of a 2-D array that contain masked values.

Extended Summary

The suppression behavior is selected with the axis parameter.

If axis is None, both rows and columns are suppressed.
If axis is 0, only rows are suppressed.
If axis is 1 or -1, only columns are suppressed.

Parameters

x : array_like, MaskedArray: The array to operate on. If not a MaskedArray instance (or if no array elements are masked), x is interpreted as a MaskedArray with mask set to nomask. Must be a 2D array.
axis : int, optional: Axis along which to perform the operation. Default is None.

Returns

compressed_array : ndarray: The compressed array.

Examples

import numpy as np
x = np.ma.array(np.arange(9).reshape(3, 3), mask=[[1, 0, 0],
                                                  [1, 0, 0],
                                                  [0, 0, 0]])
x

✓

masked_array(
  data=[[--, 1, 2],
        [--, 4, 5],
        [6, 7, 8]],
  mask=[[ True, False, False],
        [ True, False, False],
        [False, False, False]],
  fill_value=999999)

np.ma.compress_rowcols(x)
np.ma.compress_rowcols(x, 0)
np.ma.compress_rowcols(x, 1)

✓

array([[1, 2],
       [4, 5],
       [7, 8]])

Aliases

numpy.ma.compress_rowcols