code: def _clean_data(cls, *args, **kwargs):
          
  
          datadict = cls.clean(*args, **kwargs)
  
          if 'data' in datadict:
              data = datadict['data']
              data = cls._ensure_dict_or_list(data)
          else:
              data = {}
              for key in datadict:
                  if key == 'images':
                      data[key] = datadict[key]
                  else:
                      d = cls._ensure_dict_or_list(datadict[key])
                      data[key] = cls._check_unkeyed_arrays(key, d)
  
          return data
docs: Convert raw data into a dictionary with plot-type specific methods.
  
          The result of the cleaning operation should be a dictionary.
          If the dictionary contains a 'data' field it will be passed directly
          (ensuring appropriate formatting). Otherwise, it should be a
          dictionary of data-type specific array data (e.g. 'points', 
          'timeseries'), which will be labeled appropriately
          (see _check_unkeyed_arrays).