Python | Numpy numpy.ndarray.__pos__() Last Updated : 05 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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__($self, /) Return: +self Example #1 : In this example we can see that after applying numpy.__pos__(), we get the simple array that can be the same as original. Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, -2, 3, 4, 5, 6]) # applying numpy.__pos__() method print(gfg.__pos__()) Output: [ 1 -2 3 4 5 6] Example #2 : Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, -3, 4, 5, 6], [-6, 5, 4, 3, 2, -1]]) # applying numpy.__pos__() method print(gfg.__pos__()) Output: [[ 1 2 -3 4 5 6] [-6 5 4 3 2 -1]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__lshift__() J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__add__() With the help of Numpy numpy.ndarray.__add__(), we can add a particular value that is provided as a parameter in the ndarray.__add__() method. Value will be added to each and every element in a numpy array. Syntax: ndarray.__add__($self, value, /) Return: self+value Example #1 : In this example we c 1 min read Python | Numpy numpy.ndarray.__imul__() With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array. Syntax: ndarray.__imul__($self, value, /)Return: self*=value Example #1 : In this example 1 min read Python | Numpy numpy.ndarray.__rshift__() With the help of numpy.ndarray.__rshift__() method, we can get the elements that is right shifted by the value that is provided as a parameter in numpy.ndarray.__rshift__() method. Syntax: ndarray.__rshift__($self, value, /) Return: self>>value Example #1 : In this example we can see that ever 1 min read Python | Numpy numpy.ndarray.__lshift__() With the help of Numpy numpy.ndarray.__lshift__() method, we can get the elements that is left shifted by the value that is provided as a parameter in numpy.ndarray.__lshift__() method. Syntax: ndarray.__lshift__($self, value, /) Return: self<<value Example #1 : In this example we can see that 1 min read NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read Like