Python | Numpy numpy.ndarray.__isub__() Last Updated : 11 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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__($self, value, /) Return: self-=value Example #1 : In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method ndarray.__isub__(). Remember this method will work with every type of numeric value. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1.2, 2.6, 3, 4.5, 5]) # applying ndarray.__isub__() method print(gfg.__isub__(5)) Output: [-3.8 -2.4 -2. -0.5 0. ] Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2.2, 3, 4, 5.01], [6.1, 5, 4.8, 3, 2]]) # applying ndarray.__isub__() method print(gfg.__isub__(3)) Output: [[-2. -0.8 0. 1. 2.01] [ 3.1 2. 1.8 0. -1. ]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__isub__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__ge__() With the help of numpy.ndarray.__ge__() method of Numpy, We can find that which element in an array is greater then or equal to the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__ge__($self, value, /) Re 1 min read Python | Numpy numpy.ndarray.__lt__() With the help of numpy.ndarray.__lt__() method of Numpy, We can find that which element in an array is less than the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__lt__($self, value, /) Return: self<v 1 min read Python | Numpy numpy.ndarray.__le__() With the help of numpy.ndarray.__le__() method of Numpy, We can find that which element in an array is less than or equal to the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__le__($self, value, /) Retur 1 min read Python | Numpy numpy.ndarray.__gt__() With the help of numpy.ndarray.__gt__() method of Numpy, We can find that which element in an array is greater then the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__gt__($self, value, /) Return: self 1 min read Python | Numpy numpy.ndarray.__and__() With the help of Numpy numpy.ndarray.__and__() method, we can get the elements that is anded by the value that is provided as a parameter in numpy.ndarray.__and__() method. Syntax: ndarray.__and__($self, value, /) Return: self&value Example #1 : In this example we can see that every element is a 1 min read Like