code: def _np_moveaxis(a, source, destination):
      """Move axes of an array to new positions.
      Other axes remain in their original order.
  
      Parameters
      ----------
      a : ndarray
          The array whose axes should be reordered.
          source : int or sequence of int
          Original positions of the axes to move. These must be unique.
          destination : int or sequence of int
          Destination positions for each of the original axes. These must also be
          unique.
  
      Returns
      -------
      result : ndarray
          Array with moved axes. This array is a view of the input array.
  
      See Also
      --------
          transpose: Permute the dimensions of an array.
          swapaxes: Interchange two axes of an array.
  
      Examples
      --------
      >>> x = np.zeros((3, 4, 5))
      >>> np.moveaxis(x, 0, -1).shape
      (4, 5, 3)
      >>> np.moveaxis(x, -1, 0).shape
      (5, 3, 4)
      These all achieve the same result:
      >>> np.transpose(x).shape
      (5, 4, 3)
      >>> np.swapaxes(x, 0, -1).shape
      (5, 4, 3)
      >>> np.moveaxis(x, [0, 1], [-1, -2]).shape
      (5, 4, 3)
      >>> np.moveaxis(x, [0, 1, 2], [-1, -2, -3]).shape
      (5, 4, 3)
      """
      pass
  
file_path: mxnet/python/mxnet/_numpy_op_doc.py
label_desc: Use image node_id 10 for calling a global function with example usage: _np_moveaxis(a, source, destination) without return types