docs: def _load_table(self, metadata_path, data_path):
          """
          Load data table, taking subset if needed
  
          Parameters
          ----------
          metadata_path : str
              Path to metadata file
          data_path : str
              Path to data file, absolute or relative to metadata file
  
          Returns
          -------
          dataframe
              Table for analysis
  
          """
  
          metadata_dir = os.path.dirname(os.path.expanduser(metadata_path))
          data_path = os.path.normpath(os.path.join(metadata_dir, data_path))
  
          extension = data_path.split('.')[-1]
  
          if extension == 'csv':
              full_table = pd.read_csv(data_path, index_col=False)
              table = _subset_table(full_table, self.subset)
              self.meta, _ = _subset_meta(self.meta, self.subset)
          elif extension in ['db', 'sql']:
  
              # TODO: deal with incrementing in DB table
              table = self._get_db_table(data_path, extension)
          else:
              raise TypeError('Cannot process file of type %s' % extension)
  
          return table