code: def to_pandas(self):
          
          from pandas import DataFrame as PandasDataFrame
  
          pandas_index = self.index.to_pandas()
          pandas_data = OrderedDict((column.name, column.to_pandas())
                                    for column in self._iter())
  
          return PandasDataFrame(pandas_data, pandas_index)
docs: Convert to pandas DataFrame.
  
          Note the data is expected to be evaluated.
  
          Returns
          -------
          pandas.frame.DataFrame