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 preprocess(self, data_group):
      input_data = data_group.preprocessed_case
      self.output_data = np.transpose(
          input_data, axes=self.axis_ordering
      )
  
      data_group.preprocessed_case = self.output_data
  
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 3 for calling the ReorderAxes obj's underlying member method code with example usage: obj.preprocess(data_group) without return types