Python | Numpy numpy.ndarray.__rshift__()

Python | Numpy numpy.ndarray.rshift()

Last Updated : 12 Mar, 2019

With the help of numpy.ndarray.__rshift__() method, we can get the elements that is right shifted by the value that is provided as a parameter in numpy.ndarray.__rshift__() method.

Syntax: ndarray.__rshift__($self, value, /) Return: self>>value

Example #1 : In this example we can see that every element is right shifted by the value that is passed as a parameter in ndarray.__rshift__() method.

Python3 1==

# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([1, 2, 3, 4, 5])
   
# applying ndarray.__rshift__() method
print(gfg.__rshift__(2))

Output:

[0 0 0 1 1]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([[1, 2, 3, 4, 5],
                [6, 5, 4, 3, 2]])
   
# applying ndarray.__rshift__() method
print(gfg.__rshift__(1))

Output:

[[0 1 1 2 2]
 [3 2 2 1 1]]

Python | Numpy numpy.ndarray.__rshift__()

J

Jitender_1998

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Numpy numpy.ndarray.__sub__()

With the help of Numpy numpy.ndarray.__sub__(), We can subtract a particular value that is provided as a parameter in the ndarray.__sub__() method. Value will be subtracted to each and every element in a numpy array. Syntax: ndarray.__sub__($self, value, /) Return: self-value Example #1 : In this ex

Python | Numpy numpy.ndarray.__pos__()

With the help of numpy.ndarray.__pos__() method of Numpy, one can multiply each and every element of an array with 1. Hence, the resultant array having values same as original array. Syntax: ndarray.__pos__($self, /) Return: +self Example #1 : In this example we can see that after applying numpy.__p

Python | Numpy numpy.ndarray.__neg__()

With the help of numpy.ndarray.__neg__() method of Numpy, one can multiply each and every element of an array with -1. Hence, the resultant array having values like positive values becomes negative and negative values become positive. Syntax: ndarray.__neg__($self, /) Return: -self Example #1 : In t

Python | Numpy MaskedArray.__rshift__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rshift__ method we can get the elements that is right shifted by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rshift__ Return:

Python | Numpy numpy.ndarray.__isub__()

With the help of numpy.ndarray.__isub__() method, we can subtract a particular value that is provided as a parameter in the ndarray.__isub__() method. Value will be subtracted to every element in a numpy array. Syntax: ndarray.__isub__($self, value, /) Return: self-=value Example #1 : In this exampl