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# numpy.transpose

`numpy.``transpose`(a, axes=None)

  Permute the dimensions of an array.

  Parameters: | a : array_like Input array. axes : list of ints, optional By default, reverse the dimensions, otherwise permute the axes according to the values given.
  Returns: | p : ndarray a with its axes permuted. A view is returned whenever possible.

  See also

  `moveaxis`, `argsort`

  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)