# Shift the bits of an integer to the right in Numpy

To shift the bits of an integer to the right, use the numpy.right_shift() method in Python Numpy. 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.

The x1 is the Input values. The x2 is the number of bits to remove at the right of x1. If x1.shape != x2.shape, they must be broadcastable to a common shape.

The function right_shift() returns x1 with bits shifted x2 times to the right. This is a scalar if both x1 and x2 are scalars.

## Steps

At first, import the required library −

import numpy as np

Create a 0d array −

arr = np.array(65)


Displaying our array −

print("Array...",arr)

Get the datatype −

print("Array datatype...",arr.dtype)


Get the dimensions of the Array −

print("Array Dimensions...",arr.ndim)

Get the shape of the Array −

print("Our Array Shape...",arr.shape)


Get the number of elements of the Array −

print("Elements in the Array...",arr.size)

The count of right shift −

valRight = 2


To shift the bits of an integer to the right, use the numpy.right_shift() method in Python Numpy −

print("Result (right shift)...",np.right_shift(arr, valRight))

## Example

import numpy as np

# Create a 0d array
arr = np.array(65)

# Displaying our array
print("Array...",arr)

# Get the datatype
print("Array datatype...",arr.dtype)

# Get the dimensions of the Array
print("Array Dimensions...",arr.ndim)

# Get the shape of the Array
print("Our Array Shape...",arr.shape)

# Get the number of elements of the Array
print("Elements in the Array...",arr.size)

# The count of right shift
valRight = 2

# To shift the bits of an integer to the right, use the numpy.right_shift() method in Python Numpy
print("Result (right shift)...",np.right_shift(arr, valRight))

## Output

Array...
65

Array datatype...
int64

Array Dimensions...
0

Our Array Shape...
()

Elements in the Array...
1

Result (right shift)...
16