# numpy.rot90

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.

  Returns:
    y ndarray

      A rotated view of m.

  See also

  `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]]])