code: def crossJoin(self, other):
          
  
          jdf = self._jdf.crossJoin(other._jdf)
          return DataFrame(jdf, self.sql_ctx)
docs: Returns the cartesian product with another :class:`DataFrame`.
  
          :param other: Right side of the cartesian product.
  
          >>> df.select("age", "name").collect()
          [Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
          >>> df2.select("name", "height").collect()
          [Row(name=u'Tom', height=80), Row(name=u'Bob', height=85)]
          >>> df.crossJoin(df2.select("height")).select("age", "name", "height").collect()
          [Row(age=2, name=u'Alice', height=80), Row(age=2, name=u'Alice', height=85),
           Row(age=5, name=u'Bob', height=80), Row(age=5, name=u'Bob', height=85)]