code: def DataFrame(self, elements, *args, **kwargs):
          
          return self.from_pd_data_frame(pandas.DataFrame(
              elements,
              *args,
              **kwargs))
docs: Create a Sparkling Pandas DataFrame for the provided
          elements, following the same API as constructing a Panda's DataFrame.
          Note: since elements is local this is only useful for distributing
          dataframes which are small enough to fit on a single machine anyways.
          Parameters
          ----------
          elements: numpy ndarray (structured or homogeneous), dict, or
          Pandas DataFrame.
              Input elements to use with the DataFrame.
          Additional parameters as defined by L{pandas.DataFrame}.
          Returns
          -------
          Sparkling Pandas DataFrame.