numpy.ma.masked_array.shrink_mask#

method

ma.masked_array.shrink_mask()[source]#

Reduce a mask to nomask when possible.

Parameters:

None

Returns:

None

Examples

>>> import numpy as np
>>> x = np.ma.array([[1,2 ], [3, 4]], mask=[0]*4)
>>> x.mask
array([[False, False],
       [False, False]])
>>> x.shrink_mask()
masked_array(
  data=[[1, 2],
        [3, 4]],
  mask=False,
  fill_value=999999)
>>> x.mask
False