Python | Numpy numpy.ndarray.__imul__() Last Updated : 22 Jul, 2021 Comments Improve Suggest changes Like Article Like Report 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__($self, value, /)Return: self*=value Example #1 : In this example we can see that each and every element in an array is multiplied with the value given as a parameter in method ndarray.__imul__(). Remember this method will work with every type of numeric value. Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1.2, 2.6, 3, 4.5, 5]) # applying ndarray.__imul__() method print(gfg.__imul__(5)) Output: [ 6. 13. 15. 22.5 25. ] Example #2 : Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2.2, 3, 4, 5.01], [6.1, 5, 4.8, 3, 2]]) # applying ndarray.__imul__() method print(gfg.__imul__(3)) Output: [[ 3. 6.6 9. 12. 15.03] [ 18.3 15. 14.4 9. 6. ]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__imul__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__isub__() With the help of numpy.ndarray.__isub__() method, we can subtract a particular value that is provided as a parameter in the ndarray.__isub__() method. Value will be subtracted to every element in a numpy array. Syntax: ndarray.__isub__($self, value, /) Return: self-=value Example #1 : In this exampl 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__($self, value, /) Return: self+=value Example #1 : In this example we can s 1 min read Python | Numpy numpy.ndarray.__add__() With the help of Numpy numpy.ndarray.__add__(), we can add a particular value that is provided as a parameter in the ndarray.__add__() method. Value will be added to each and every element in a numpy array. Syntax: ndarray.__add__($self, value, /) Return: self+value Example #1 : In this example we c 1 min read Python | Numpy ndarray.__imod__() With the help of Numpy ndarray.__imod__(), 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.__imod__(). Syntax: ndarray.__imod__($self, value, /) Return: self%=value Exampl 1 min read Python | Numpy ndarray.item() With the help of numpy.ndarray.item() method, we can fetch the data elements that is found at the given index on numpy array. Remember we can give index as one dimensional parameter or can be two dimensional. Parameters: *args : Arguments (variable number and type) -> none: This argument only works 2 min read Like