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


Returns: 

See also
logical_and
, bitwise_or
, bitwise_xor
binary_repr
The number 13 is represented by 00001101
. Likewise, 17 is represented by 00010001
. The bitwise AND of 13 and 17 is therefore 000000001
, or 1:
>>> np.bitwise_and(13, 17) 1
>>> np.bitwise_and(14, 13) 12 >>> np.binary_repr(12) '1100' >>> np.bitwise_and([14,3], 13) array([12, 1])
>>> np.bitwise_and([11,7], [4,25]) array([0, 1]) >>> np.bitwise_and(np.array([2,5,255]), np.array([3,14,16])) array([ 2, 4, 16]) >>> np.bitwise_and([True, True], [False, True]) array([False, True])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.bitwise_and.html