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!=value
Example #1 :
In this example we can see that after applying numpy.__ne__(), we get the simple boolean array that can tell us which element in an array is not equal to that of provided parameter.
# 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.__ne__() method print(gfg.__ne__(4)) |
Output:
[ True True True False True True]
Example #2 :
# 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.__ne__() method print(gfg.__ne__(4)) |
Output:
[[ True True True False True True] [ True True False True True True]]
