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# numpy.bitwise_xor

`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 types are handled (including booleans).
  Returns : | out : array_like Result.

  See also

  `logical_xor`, `bitwise_and`, `bitwise_or`

  `binary_repr`
    Return the binary representation of the input number as a string.

  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)

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