numpy.right_shift#

numpy.right_shift(x1,x2,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature])=<ufunc'right_shift'>#

Shift the bits of an integer to the right.

Bits are shifted to the rightx2. Because the internalrepresentation of numbers is in binary format, this operation isequivalent to dividingx1 by2**x2.

Parameters:
x1array_like, int

Input values.

x2array_like, int

Number of bits to remove at the right ofx1.Ifx1.shape!=x2.shape, they must be broadcastable to a commonshape (which becomes the shape of the output).

outndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.

wherearray_like, optional

This condition is broadcast over the input. At locations where thecondition is True, theout array will be set to the ufunc result.Elsewhere, theout array will retain its original value.Note that if an uninitializedout array is created via the defaultout=None, locations within it where the condition is False willremain uninitialized.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:
outndarray, int

Returnx1 with bits shiftedx2 times to the right.This is a scalar if bothx1 andx2 are scalars.

See also

left_shift

Shift the bits of an integer to the left.

binary_repr

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

Examples

>>>importnumpyasnp>>>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])

The>> operator can be used as a shorthand fornp.right_shift onndarrays.

>>>x1=10>>>x2=np.array([1,2,3])>>>x1>>x2array([5, 2, 1])
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