numpy.right_shift(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'right_shift'>
Shift the bits of an integer to the right.
Bits are shifted to the right x2
. Because the internal representation of numbers is in binary format, this operation is equivalent to dividing x1
by 2**x2
.
Parameters: |
x1 : array_like, int Input values. x2 : array_like, int Number of bits to remove at the right of out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs. |
---|---|
Returns: |
out : ndarray, int Return |
See also
left_shift
binary_repr
>>> np.binary_repr(10) '1010' >>> np.right_shift(10, 1) 5 >>> np.binary_repr(5) '101'
>>> np.right_shift(10, [1,2,3]) array([5, 2, 1])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.right_shift.html