# numpy.transpose#

numpy.transpose(a, axes=None)[source]#

Reverse or permute the axes of an array; returns the modified array.

For an array a with two axes, transpose(a) gives the matrix transpose.

Refer to `numpy.ndarray.transpose` for full documentation.

Parameters
aarray_like

Input array.

axestuple or list of ints, optional

If specified, it must be a tuple or list which contains a permutation of [0,1,..,N-1] where N is the number of axes of a. The i’th axis of the returned array will correspond to the axis numbered `axes[i]` of the input. If not specified, defaults to `range(a.ndim)[::-1]`, which reverses the order of the axes.

Returns
pndarray

a with its axes permuted. A view is returned whenever possible.

Notes

Use transpose(a, argsort(axes)) to invert the transposition of tensors when using the axes keyword argument.

Transposing a 1-D array returns an unchanged view of the original array.

Examples

```>>> x = np.arange(4).reshape((2,2))
>>> x
array([[0, 1],
[2, 3]])
```
```>>> np.transpose(x)
array([[0, 2],
[1, 3]])
```
```>>> x = np.ones((1, 2, 3))
>>> np.transpose(x, (1, 0, 2)).shape
(2, 1, 3)
```
```>>> x = np.ones((2, 3, 4, 5))
>>> np.transpose(x).shape
(5, 4, 3, 2)
```