numpy.ma.mask_rows — NumPy v1.15 Manual (original) (raw)

numpy.ma. mask_rows(a, axis=None)[source]¶

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

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

Examples

import numpy.ma as ma a = np.zeros((3, 3), dtype=int) a[1, 1] = 1 a array([[0, 0, 0], [0, 1, 0], [0, 0, 0]]) a = 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=999999) 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=999999)