code: def load_data(self, data):
          
  
          dates = fill_date_range(self.start_date, self.end_date)
          for row, date in zip(data, dates):
              data = {'date': date}
              if self.add:
                  # If self.add is set, results will contain additional
                  # attributes (e.g. flags). In that case, create one row per
                  # result, with attributes "date", "elem", "value", and one for
                  # each item in self.add.
                  for elem, vals in zip(self.parameter, row):
                      data['elem'] = elem
                      for add, val in zip(['value'] + self.add, vals):
                          data[add] = val
                      yield data
              else:
                  # Otherwise, return one row per date, with "date" and each
                  # element's value as attributes.
                  for elem, val in zip(self.parameter, row):
                      # namedtuple doesn't like numeric field names
                      if elem.isdigit():
                          elem = "e%s" % elem
                      data[elem] = val
                  yield data
docs: MultiStnData data results are arrays without explicit dates;
          Infer time series based on start date.