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 load(self, kwargs):
      # Naming Parameters
      add_parameter(self, kwargs, "name", "ReorderAxes")
  
      # Dropping Parameters
      add_parameter(self, kwargs, "axis_ordering", None)
  
      assert (
          self.axis_ordering is not None
      ), "You must provide an axis ordering for ReorderAxes."
  
      self.output_shape = {}
      self.array_input = True
  
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 1 for calling the ReorderAxes obj's underlying member method code with example usage: obj.load(kwargs) without return types