Python | Numpy numpy.ndarray.__pow__() Last Updated : 25 Sep, 2024 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of Numpy numpy.ndarray.__pow__() method, we will get all the elements powered with the value that is provided as a parameter in numpy.ndarray.__pow__() method. Syntax: ndarray.__pow__($self, value, mod=None, /) Return: pow(self, value, mod) Example #1 : In this example we can see that every element get powered with the value that is provided as a parameter in ndarray.__pow__() method. Python # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__pow__() method print(gfg.__pow__(3)) Output[ 1 8 27 64 125] Example #2 : Python # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__pow__() method print(gfg.__pow__(2)) Output[[ 1 4 9 16 25] [36 25 16 9 4]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__pow__ J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__mod__() With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__(). Syntax: ndarray.__mod__($self, value, /) Return: self%value Exam 1 min read 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.__iadd__() With the help of numpy.ndarray.__iadd__() method, we can add a particular value that is provided as a parameter in the ndarray.__iadd__() method. Value will be added to every element in a numpy array. Syntax: ndarray.__iadd__($self, value, /) Return: self+=value Example #1 : In this example we can s 1 min read Python | Numpy MaskedArray.__pow__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__pow__ method we can get the elements powered with the value that is provided as a parameter. Syntax: numpy.MaskedArray.__pow__ Return: Raise self to the 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 Like