# xorbits.numpy.rot90#

xorbits.numpy.rot90(m, k=1, axes=(0, 1))#

Rotate an array by 90 degrees in the plane specified by axes.

Rotation direction is from the first towards the second axis. This means for a 2D array with the default k and axes, the rotation will be counterclockwise.

Parameters
• m (array_like) – Array of two or more dimensions.

• k (integer) – Number of times the array is rotated by 90 degrees.

• axes ((2,) array_like) –

The array is rotated in the plane defined by the axes. Axes must be different.

New in version 1.12.0(numpy).

Returns

y – A rotated view of m.

Return type

ndarray

`flip`

Reverse the order of elements in an array along the given axis.

`fliplr`

Flip an array horizontally.

`flipud`

Flip an array vertically.

Notes

`rot90(m, k=1, axes=(1,0))` is the reverse of `rot90(m, k=1, axes=(0,1))`

`rot90(m, k=1, axes=(1,0))` is equivalent to `rot90(m, k=-1, axes=(0,1))`

Examples

```>>> m = np.array([[1,2],[3,4]], int)
>>> m
array([[1, 2],
[3, 4]])
>>> np.rot90(m)
array([[2, 4],
[1, 3]])
>>> np.rot90(m, 2)
array([[4, 3],
[2, 1]])
>>> m = np.arange(8).reshape((2,2,2))
>>> np.rot90(m, 1, (1,2))
array([[[1, 3],
[0, 2]],
[[5, 7],
[4, 6]]])
```

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.