code: def multiply(self, matrix):
          
          if not isinstance(matrix, DenseMatrix):
              raise ValueError("Only multiplication with DenseMatrix "
                               "is supported.")
          return IndexedRowMatrix(self._java_matrix_wrapper.call("multiply", matrix))
docs: Multiply this matrix by a local dense matrix on the right.
  
          :param matrix: a local dense matrix whose number of rows must match the number of columns
                         of this matrix
          :returns: :py:class:`IndexedRowMatrix`
  
          >>> mat = IndexedRowMatrix(sc.parallelize([(0, (0, 1)), (1, (2, 3))]))
          >>> mat.multiply(DenseMatrix(2, 2, [0, 2, 1, 3])).rows.collect()
          [IndexedRow(0, [2.0,3.0]), IndexedRow(1, [6.0,11.0])]