numpy.bitwise_xor — NumPy v1.11 Manual (original) (raw)
numpy.bitwise_xor(x1, _x2_[, _out_]) = <ufunc 'bitwise_xor'>¶
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. |
Examples
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)