# NumPy - right_shift() function

The Bitwise right shift operator (>>) takes the two numbers and right shift the bits of first operand by number of place specified by second operand. For example: for right shifting the bits of x by y places, the expression (x>>y) can be used. It is equivalent to dividing x by 2y.

The example below describes how right shift operator works:

```1000 >> 2 returns 250

(In Binary)
1000         ->    1111101000
>> 2                     |  right shift the bits
-----                    V  by 2 places
250         <-      11111010
(In Binary)
```

The NumPy right_shift() function shifts the bits of an integer to the right. Bits are shifted to the right y. This operation is equivalent to dividing x by 2y. This ufunc implements the C/Python operator >>.

### Syntax

```numpy.right_shift(x, y, out=None)
```

### Parameters

 `x` `Required. `Specify the input array. `y` `Required. `Specify the number of bits to remove at the right of x. Has to be non-negative. If x.shape != y.shape, they must be broadcastable to a common shape. `out` `Optional. `Specify 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.

### Return Value

Returns x with bits shifted y times to the right. This is a scalar if both x and y are scalars.

### Example:

In the example below, the right_shift() function is used to compute the right shift operation using two scalars.

```import numpy as np

x = 1000
y = 2

#right shift operation
z = np.right_shift(x, y)

#Displaying the result
print("z =", z)
```

The output of the above code will be:

```z = 250
```

### Example:

The right_shift() function can be used with arrays where it computes the right shift operation of the array element-wise.

```import numpy as np

x = np.array([[100, 200],[300, 400]])
y = np.array([[0, 1],[2, 3]])

#right shift operation
z = np.right_shift(x, y)

#Displaying the result
print("z =")
print(z)
```

The output of the above code will be:

```z =
[[100 100]
[ 75  50]]
```

❮ NumPy - Binary Operators

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