code: def dataframe2sasdata(self, df: 'pd.DataFrame', table: str = '_df', libref: str = '',
                            results: str = '', keep_outer_quotes: bool = False) -> 'SASdata':
          
          if libref != '':
             if libref.upper() not in self.assigned_librefs():
                print("The libref specified is not assigned in this SAS Session.")
                return None
  
          if results == '':
              results = self.results
          if self.nosub:
              print("too complicated to show the code, read the source :), sorry.")
              return None
          else:
              self._io.dataframe2sasdata(df, table, libref, keep_outer_quotes)
  
          if self.exist(table, libref):
              return SASdata(self, libref, table, results)
          else:
              return None
docs: This method imports a Pandas Data Frame to a SAS Data Set, returning the SASdata object for the new Data Set.
  
          :param df: Pandas Data Frame to import to a SAS Data Set
          :param table: the name of the SAS Data Set to create
          :param libref: the libref for the SAS Data Set being created. Defaults to WORK, or USER if assigned
          :param results: format of results, SASsession.results is default, PANDAS, HTML or TEXT are the alternatives
          :param keep_outer_quotes: the defualt is for SAS to strip outer quotes from delimitted data. This lets you keep them
          :return: SASdata object