Python | Numpy numpy.ndarray.__add__() Last Updated : 06 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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__($self, value, /) Return: self+value Example #1 : In this example we can see that each and every element in an array is added with the value given as a parameter in method ndarray.__add__(). Remember one thing it wouldn't work for double type values. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__add__() method print(gfg.__add__(5)) Output: [ 6 7 8 9 10] Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__add__() method print(gfg.__add__(5)) Output: [[ 6 7 8 9 10] [11 10 9 8 7]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__add__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__iadd__() With the help of numpy.ndarray.__iadd__() method, we can add a particular value that is provided as a parameter in the ndarray.__iadd__() method. Value will be added to every element in a numpy array. Syntax: ndarray.__iadd__($self, value, /) Return: self+=value Example #1 : In this example we can s 1 min read Python | Numpy 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 1 min read numpy.defchararray.add() in Python numpy.core.defchararray.add(arr1, arr2): Concatenates two strings element-wise. Parameters: arr1 : array-like or string. arr2 : array-like or string. Returns : Concatenates String. Code #1: Python3 1== # Python Program illustrating # numpy.char.add() method import numpy as np arr1 = ['vdteteAAAa', ' 1 min read numpy.ndarray.ndim() method | Python numpy.ndarray.ndim() function return the number of dimensions of an array. Syntax : numpy.ndarray.ndim(arr) Parameters : arr : [array_like] Input array. If it is not already an ndarray, a conversion is attempted. Return : [int] Return the number of dimensions in arr. Code #1 : Python3 # Python progr 1 min read Python | Numpy MaskedArray.__add__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__add__ we can add a particular value that is provided as a parameter in the MaskedArray.__add__() method. Value will be added to each and every element i 1 min read Like