code: def to_df(self):
      '''Conversion method to Pandas DataFrame. To be attached to ResultDict.
  
      Returns
      -------
      main_effect, inter_effect: tuple
          A tuple of DataFrames for main effects and interaction effects.
          The second element (for interactions) will be `None` if not available.
      '''
      names = self['names']
      main_effect = self['ME']
      interactions = self.get('IE', None)
  
      inter_effect = None
      if interactions:
          interaction_names = self.get('interaction_names')
          names = [name for name in names if not isinstance(name, list)]
          inter_effect = pd.DataFrame({'IE': interactions},
                                      index=interaction_names)
  
      main_effect = pd.DataFrame({'ME': main_effect}, index=names)
  
      return main_effect, inter_effecf to_df(self):
      '''Conversion method to Pandas DataFrame. To be attached to ResultDict.
  
      Returns
      -------
      main_effect, inter_effect: tuple
          A tuple of DataFrames for main effects and interaction effects.
          The second element (for interactions) will be `None` if not available.
      '''
      names = self['names']
      main_effect = self['ME']
      interactions = self.get('IE', None)
  
      inter_effect = None
      if interactions:
          interaction_names = self.get('interaction_names')
          names = [name for name in names if not isinstance(name, list)]
          inter_effect = pd.DataFrame({'IE': interactions},
                                      index=interaction_names)
  
      main_effect = pd.DataFrame({'ME': main_effect}, index=names)
  
      return main_effect, inter_effect
docs: Conversion method to Pandas DataFrame. To be attached to ResultDict.
  
      Returns
      -------
      main_effect, inter_effect: tuple
          A tuple of DataFrames for main effects and interaction effects.
          The second element (for interactions) will be `None` if not available.