numpy.ma.getmaskarray — NumPy v2.3 Manual (original) (raw)

ma.getmaskarray(arr)[source]#

Return the mask of a masked array, or full boolean array of False.

Return the mask of arr as an ndarray if arr is a MaskedArray and the mask is not nomask, else return a full boolean array of False of the same shape as arr.

Parameters:

arrarray_like

Input MaskedArray for which the mask is required.

See also

getmask

Return the mask of a masked array, or nomask.

getdata

Return the data of a masked array as an ndarray.

Examples

import numpy as np import numpy.ma as ma a = ma.masked_equal([[1,2],[3,4]], 2) a masked_array( data=[[1, --], [3, 4]], mask=[[False, True], [False, False]], fill_value=2) ma.getmaskarray(a) array([[False, True], [False, False]])

Result when mask == nomask

b = ma.masked_array([[1,2],[3,4]]) b masked_array( data=[[1, 2], [3, 4]], mask=False, fill_value=999999) ma.getmaskarray(b) array([[False, False], [False, False]])