class_docstr: Equivalent to NumPy's transpose function. Reorders the axes in
  your data according to the axis_ordering parameter.
  
  axis_ordering: list or tuple
      New ordering of axes, in list format.
code: def initialize(self, data_collection):
      super(ReorderAxes, self).initialize(data_collection)
  
      for label, data_group in list(self.data_groups.items()):
          # print(self.output_shape[label])
          self.output_shape[label] = self.axis_ordering
  
imports: import subprocess
  import os
  import numpy
  import itertools
  from deepneuro.preprocessing.preprocessor import Preprocessor
  from deepneuro.utilities.util import add_parameter, quotes
label_desc: Use image node_id 2 for calling the ReorderAxes obj's underlying member method code with example usage: obj.initialize(data_collection) without return types