numpy.bitwise_or — NumPy v1.11 Manual (original) (raw)
numpy.bitwise_or(x1, _x2_[, _out_]) = <ufunc 'bitwise_or'>¶
Compute the bit-wise OR of two arrays element-wise.
Computes the bit-wise OR 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. out : ndarray, optional Array into which the output is placed. Its type is preserved and it must be of the right shape to hold the output. See doc.ufuncs. |
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| Returns: | out : array_like Result. |
Examples
The number 13 has the binaray representation 00001101. Likewise, 16 is represented by 00010000. The bit-wise OR of 13 and 16 is then 000111011, or 29:
np.bitwise_or(13, 16) 29 np.binary_repr(29) '11101'
np.bitwise_or(32, 2) 34 np.bitwise_or([33, 4], 1) array([33, 5]) np.bitwise_or([33, 4], [1, 2]) array([33, 6])
np.bitwise_or(np.array([2, 5, 255]), np.array([4, 4, 4])) array([ 6, 5, 255]) np.array([2, 5, 255]) | np.array([4, 4, 4]) array([ 6, 5, 255]) np.bitwise_or(np.array([2, 5, 255, 2147483647L], dtype=np.int32), ... np.array([4, 4, 4, 2147483647L], dtype=np.int32)) array([ 6, 5, 255, 2147483647]) np.bitwise_or([True, True], [False, True]) array([ True, True], dtype=bool)