Python | Numpy numpy.ndarray.__neg__() Last Updated : 05 Mar, 2019 Comments Improve Suggest changes Like Article Like Report With the help of numpy.ndarray.__neg__() method of Numpy, one can multiply each and every element of an array with -1. Hence, the resultant array having values like positive values becomes negative and negative values become positive. Syntax: ndarray.__neg__($self, /) Return: -self Example #1 : In this example we can see that after applying numpy.__neg__(), we get the simple array with combination of positive and negative values in an array. Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, -2, 3, 4, 5, 6]) # applying numpy.__neg__() method print(gfg.__neg__()) Output: [-1 2 -3 -4 -5 -6] Example #2 : Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, -3, 4, 5, 6], [-6, 5, 4, 3, 2, -1]]) # applying numpy.__neg__() method print(gfg.__neg__()) Output: [[-1 -2 3 -4 -5 -6] [ 6 -5 -4 -3 -2 1]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__neg__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__ne__() With the help of numpy.ndarray.__ne__() method of Numpy, We can find that which element in an array is not equal to the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__ne__($self, value, /) Return: self!= 1 min read 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.__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__($self, value, /) Return: self 1 min read Python | Numpy numpy.ndarray.__le__() With the help of numpy.ndarray.__le__() method of Numpy, We can find that which element in an array is less than or equal to the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__le__($self, value, /) Retur 1 min read Like