code: def hdf5_transpose(hdf5, output_hdf5, axes):
      open_hdf5 = tables.open_file(hdf5, "r")
  
      for data_group in open_hdf5.root._f_iter_nodes():
          if (
              "_affines" not in data_group.name
              and "_casenames" not in data_group.name
          ):
              print((data_group.shape))
  
      return
  
label_desc: Use image node_id 1 for calling a global function with example usage: hdf5_transpose(hdf5, output_hdf5, axes) without return types