numpy.bitwise_xor(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'bitwise_xor'>
Compute the bitwise XOR of two arrays elementwise.
Computes the bitwise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^
.
Parameters: 


Returns: 

See also
logical_xor
, bitwise_and
, bitwise_or
binary_repr
The number 13 is represented by 00001101
. Likewise, 17 is represented by 00010001
. The bitwise XOR of 13 and 17 is therefore 00011100
, or 28:
>>> np.bitwise_xor(13, 17) 28 >>> np.binary_repr(28) '11100'
>>> np.bitwise_xor(31, 5) 26 >>> np.bitwise_xor([31,3], 5) array([26, 6])
>>> np.bitwise_xor([31,3], [5,6]) array([26, 5]) >>> np.bitwise_xor([True, True], [False, True]) array([ True, False])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.bitwise_xor.html