# xarray.ufuncs.bitwise_right_shift

### xarray.ufuncs.bitwise_right_shift *= <xarray.ufuncs._binary_ufunc object>*

xarray specific variant of `numpy.bitwise_right_shift()`. Handles xarray objects by dispatching to the appropriate function for the underlying array type.

Documentation from numpy:

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](https://numpy.org/doc/stable/glossary.html#term-array_like), [`int`](https://docs.python.org/3/builtins/functions.html#int)) – Input values.
  * **x2** ([array_like](https://numpy.org/doc/stable/glossary.html#term-array_like), [`int`](https://docs.python.org/3/builtins/functions.html#int)) – Number of bits to remove at the right of x1.
    If `x1.shape != x2.shape`, they must be broadcastable to a common
    shape (which becomes the shape of the output).
  * **out** ([`ndarray`](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray), [`None`](https://docs.python.org/3/builtins/constants.html#None), or [`tuple`](https://docs.python.org/3/builtins/stdtypes.html#tuple) of [`ndarray`](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray) and [`None`](https://docs.python.org/3/builtins/constants.html#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 None,
    a freshly-allocated array is returned. A tuple (possible only as a
    keyword argument) must have length equal to the number of outputs.
  * **where** ([array_like](https://numpy.org/doc/stable/glossary.html#term-array_like), *optional*) – This condition is broadcast over the input. At locations where the
    condition is True, the out array will be set to the ufunc result.
    Elsewhere, the out array will retain its original value.
    Note that if an uninitialized out array is created via the default
    `out=None`, locations within it where the condition is False will
    remain uninitialized.
  * **\*\*kwargs** – For other keyword-only arguments, see the
    [ufunc docs](https://numpy.org/doc/stable/reference/ufuncs.html#ufuncs-kwargs).
* **Returns:**
  **out** ([`ndarray`](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray), [`int`](https://docs.python.org/3/builtins/functions.html#int)) – Return x1 with bits shifted x2 times to the right.
  This is a scalar if both x1 and x2 are scalars.

#### SEE ALSO
[`left_shift`](xarray.ufuncs.left_shift.html.md#xarray.ufuncs.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

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```pycon
>>> import numpy as np
>>> np.binary_repr(10)
'1010'
>>> np.right_shift(10, 1)
5
>>> np.binary_repr(5)
'101'
```

```pycon
>>> np.right_shift(10, [1,2,3])
array([5, 2, 1])
```

The `>>` operator can be used as a shorthand for `np.right_shift` on
ndarrays.

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

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