code: def read(self, dataframe_name: str) -> pandas.DataFrame:
          
          code = serialise_dataframe_code(dataframe_name, self.kind)
          output = self._execute(code)
          output.raise_for_status()
          if output.text is None:
              raise RuntimeError("statement had no text output")
          return deserialise_dataframe(output.text)
docs: Evaluate and retrieve a Spark dataframe in the managed session.
  
          :param dataframe_name: The name of the Spark dataframe to read.