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.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)