numpy.not_equal

numpy.not_equal(x1, x2[, out]) =

Return (x1 != x2) element-wise.

Parameters:	x1, x2 : array_like Input arrays. out : ndarray, optional A placeholder the same shape as x1 to store the result. See doc.ufuncs (Section “Output arguments”) for more details.
Returns:	not_equal : ndarray bool, scalar bool For each element in x1, x2, return True if x1 is not equal to x2 and False otherwise.

See also

equal, greater, greater_equal, less, less_equal

Examples

>>> np.not_equal([1.,2.], [1., 3.])
array([False,  True], dtype=bool)
>>> np.not_equal([1, 2], [[1, 3],[1, 4]])
array([[False,  True],
       [False,  True]], dtype=bool)