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