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# 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!=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]]
```