code: def describe(self, **kwargs):
          
          # Use pandas to calculate the correct columns
          new_columns = (
              pandas.DataFrame(columns=self.columns)
              .astype(self.dtypes)
              .describe(**kwargs)
              .columns
          )
  
          def describe_builder(df, internal_indices=[], **kwargs):
              return df.iloc[:, internal_indices].describe(**kwargs)
  
          # Apply describe and update indices, columns, and dtypes
          func = self._prepare_method(describe_builder, **kwargs)
          new_data = self._full_axis_reduce_along_select_indices(func, 0, new_columns)
          new_index = self.compute_index(0, new_data, False)
          return self.__constructor__(new_data, new_index, new_columns)
docs: Generates descriptive statistics.
  
          Returns:
              DataFrame object containing the descriptive statistics of the DataFrame.