numpy.bitwise_xor(x1, x2[, out]) =
Compute the bit-wise XOR of two arrays element-wise.
Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^
.
Parameters: |
x1, x2 : array_like Only integer and boolean types are handled. |
---|---|
Returns: |
out : array_like Result. |
See also
logical_xor
, bitwise_and
, bitwise_or
binary_repr
The number 13 is represented by 00001101
. Likewise, 17 is represented by 00010001
. The bit-wise 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], dtype=bool)
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https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.bitwise_xor.html