code: def to_networkx_graph(H):
      
      import networkx as nx
  
      if not isinstance(H, UndirectedHypergraph):
          raise TypeError("Transformation only applicable to \
                          undirected Hs")
  
      G = to_graph_decomposition(H)
  
      nx_graph = nx.Graph()
  
      for node in G.node_iterator():
          nx_graph.add_node(node, G.get_node_attributes(node))
  
      for hyperedge_id in G.hyperedge_id_iterator():
          edge_nodes = G.get_hyperedge_nodes(hyperedge_id)
          edge_attributes = G.get_hyperedge_attributes(hyperedge_id)
          nx_graph.add_edge(edge_nodes[0], edge_nodes[1], edge_attributes)
  
      return nx_graph
docs: Returns a NetworkX Graph object that is the graph decomposition of
      the given H.
      See "to_graph_decomposition()" for more details.
  
      :param H: the H to decompose into a graph.
      :returns: nx.Graph -- NetworkX Graph object representing the
              decomposed H.
      :raises: TypeError -- Transformation only applicable to
              undirected Hs