numpy.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
>>> 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)
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https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.ma.masked_not_equal.html