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# Python | Numpy numpy.ndarray.__pow__()

• Last Updated : 12 Mar, 2019

With the help of `Numpy numpy.ndarray.__pow__()` method, we will get all the elements powered with the value that is provided as a parameter in `numpy.ndarray.__pow__()` method.

Syntax: ndarray.__pow__(\$self, value, mod=None, /)

Return: pow(self, value, mod)

Example #1 :
In this example we can see that every element get powered with the value that is provided as a parameter in `ndarray.__pow__()` method.

 `# import the important module in python``import` `numpy as np``    ` `# make an array with numpy``gfg ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``])``    ` `# applying ndarray.__pow__() method``print``(gfg.__pow__(``3``))`
Output:

```[  1   8  27  64  125]
```

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``, ``5``, ``4``, ``3``, ``2``]])``    ` `# applying ndarray.__pow__() method``print``(gfg.__pow__(``2``))`
Output:
```[[ 1  4  9 16 25]
[36 25 16  9  4]]
```

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