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# numpy.swapaxes() function | Python

• Last Updated : 22 Apr, 2020

`numpy.swapaxes()` function interchange two axes of an array.

Syntax : numpy.swapaxes(arr, axis1, axis2)
Parameters :
arr : [array_like] input array.
axis1 : [int] First axis.
axis2 : [int] Second axis.
Return : [ndarray] In earlier NumPy versions, a view of arr is returned only if the order of the axes is changed, otherwise the input array is returned. For NumPy >= 1.10.0, if arr is an ndarray, then a view of arr is returned; otherwise a new array is created.

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Code #1 :

 `# Python program explaining``# numpy.swapaxes() function`` ` `# importing numpy as geek ``import` `numpy as geek`` ` `arr ``=` `geek.array([[``2``, ``4``, ``6``]])`` ` `gfg ``=` `geek.swapaxes(arr, ``0``, ``1``)`` ` `print` `(gfg)`

Output :

```[

]
```

Code #2 :

 `# Python program explaining``# numpy.swapaxes() function`` ` `# importing numpy as geek ``import` `numpy as geek`` ` `arr ``=` `geek.array([[[``0``, ``1``], [``2``, ``3``]], [[``4``, ``5``], [``6``, ``7``]]])`` ` `gfg ``=` `geek.swapaxes(arr, ``0``, ``2``)`` ` `print` `(gfg)`

Output :

```[[[0 4]
[2 6]]
[[1 5]
[3 7]]]
```

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