code: def combine_info(self, all_infos):
          
          combined_info = combine_metadata(*all_infos)
  
          new_dict = self._combine(all_infos, min, 'start_time', 'start_orbit')
          new_dict.update(self._combine(all_infos, max, 'end_time', 'end_orbit'))
          new_dict.update(self._combine(all_infos, np.mean,
                                        'satellite_longitude',
                                        'satellite_latitude',
                                        'satellite_altitude'))
  
          try:
              area = SwathDefinition(lons=np.ma.vstack([info['area'].lons for info in all_infos]),
                                     lats=np.ma.vstack([info['area'].lats for info in all_infos]))
              area.name = '_'.join([info['area'].name for info in all_infos])
              combined_info['area'] = area
          except KeyError:
              pass
  
          new_dict.update(combined_info)
          return new_dict
docs: Combine metadata for multiple datasets.
  
          When loading data from multiple files it can be non-trivial to combine
          things like start_time, end_time, start_orbit, end_orbit, etc.
  
          By default this method will produce a dictionary containing all values
          that were equal across **all** provided info dictionaries.
  
          Additionally it performs the logical comparisons to produce the
          following if they exist:
  
           - start_time
           - end_time
           - start_orbit
           - end_orbit
           - satellite_altitude
           - satellite_latitude
           - satellite_longitude
  
           Also, concatenate the areas.