numpy.ma.masked_not_equal#

ma.masked_not_equal(x, value, copy=True)[source]#

Mask an array where not equal to a given value.

This function is a shortcut to masked_where, with condition = (x != value).

See also

masked_where: Mask where a condition is met.

Examples

>>> import numpy as np
>>> import numpy.ma as ma
>>> a = np.arange(4)
>>> a
array([0, 1, 2, 3])
>>> ma.masked_not_equal(a, 2)
masked_array(data=[--, --, 2, --],
             mask=[ True,  True, False,  True],
       fill_value=999999)