numpy.logical_xor

numpy.logical_xor(x1, x2[, out]) = <ufunc 'logical_xor'>

Compute the truth value of x1 XOR x2, element-wise.

Parameters:	x1, x2 : array_like Logical XOR is applied to the elements of x1 and x2. They must be broadcastable to the same shape.
Returns:	y : bool or ndarray of bool Boolean result of the logical XOR operation applied to the elements of x1 and x2; the shape is determined by whether or not broadcasting of one or both arrays was required.

See also

logical_and, logical_or, logical_not, bitwise_xor

Examples

>>> np.logical_xor(True, False)
True
>>> np.logical_xor([True, True, False, False], [True, False, True, False])
array([False,  True,  True, False], dtype=bool)

>>> x = np.arange(5)
>>> np.logical_xor(x < 1, x > 3)
array([ True, False, False, False,  True], dtype=bool)

Simple example showing support of broadcasting

>>> np.logical_xor(0, np.eye(2))
array([[ True, False],
       [False,  True]], dtype=bool)