Shift the bits of array elements of a Two-Dimensional array to the right in Numpy

To shift the bits of array elements of a 2d array 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 Two-Dimensional array −

arr = np.array([[56, 87, 23], [92, 81, 98]])

Displaying our array −

print("Array...\n",arr)

Get the datatype −

print("\nArray datatype...\n",arr.dtype)

Get the dimensions of the Array −

print("\nArray Dimensions...\n",arr.ndim)

Get the shape of the Array −

print("\nOur Array Shape...\n",arr.shape)

Get the number of elements of the Array −

print("\nElements in the Array...\n",arr.size)

The count of right right −

valRight = 3

To shift the bits of array elements of a 2d array to the right, use the numpy.right_shift() method −

print("\nResult (right shift)...\n",np.right_shift(arr, valRight))

Example

import numpy as np

# Create a Two-Dimensional array
arr = np.array([[56, 87, 23], [92, 81, 98]])

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

# Get the datatype
print("\nArray datatype...\n",arr.dtype)

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

# Get the shape of the Array
print("\nOur Array Shape...\n",arr.shape)

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

# The count of right right
valRight = 3

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

Output

Array...
[[56 87 23]
[92 81 98]]

Array datatype...
int64

Array Dimensions...
2

Our Array Shape...
(2, 3)

Elements in the Array...
6

Result (right shift)...
[[ 7 10 2]
[11 10 12]]

AmitDiwan

Updated on 22-Feb-2022 07:16:21

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