code: def read_csv(user_id, records_path, antennas_path=None, attributes_path=None,
               recharges_path=None, network=False, duration_format='seconds',
               describe=True, warnings=True, errors=False, drop_duplicates=False):
      antennas = None
      if antennas_path is not None:
          try:
              with open(antennas_path, 'r') as csv_file:
                  reader = csv.DictReader(csv_file)
                  antennas = dict((d['antenna_id'], (float(d['latitude']),
                                                     float(d['longitude'])))
                                  for d in reader)
          except IOError:
              pass
      user_records = os.path.join(records_path, user_id + '.csv')
      with open(user_records, 'r') as csv_file:
          reader = csv.DictReader(csv_file)
          records = [_parse_record(r, duration_format) for r in reader]
      attributes = None
      if attributes_path is not None:
          user_attributes = os.path.join(attributes_path, user_id + '.csv')
          attributes = _load_attributes(user_attributes)
      recharges = None
      if recharges_path is not None:
          user_recharges = os.path.join(recharges_path, user_id + '.csv')
          recharges = _load_recharges(user_recharges)
      user, bad_records = load(user_id, records, antennas, attributes, recharges,
                               antennas_path, attributes_path, recharges_path,
                               describe=False, warnings=warnings,
                               drop_duplicates=drop_duplicates)
      if network is True:
          user.network = _read_network(user, records_path, attributes_path,
                                       read_csv, antennas_path, warnings,
                                       drop_duplicates=drop_duplicates)
          user.recompute_missing_neighbors()
      if describe:
          user.describe()
      if errors:
          return user, bad_records
      return user