如何使用networkx图过滤具有特定属性的节点并保留路径

import networkx as nx

G = nx.Graph()  # 创建一个无向图

G.add_node(1, color='red')  # 添加一个带有属性的节点
G.add_node(2, color='blue')
G.add_edge(1, 2, weight=0.5)  # 添加一条带有属性的边

filtered_nodes = [node for node, attr in G.nodes(data=True) if attr.get('color') == 'red']

subgraph = G.subgraph(filtered_nodes)

import networkx as nx

G = nx.Graph()
G.add_node(1, color='red')
G.add_node(2, color='blue')
G.add_node(3, color='red')
G.add_edge(1, 2, weight=0.5)
G.add_edge(2, 3, weight=0.8)

filtered_nodes = [node for node, attr in G.nodes(data=True) if attr.get('color') == 'red']
subgraph = G.subgraph(filtered_nodes)

print(subgraph.nodes())
print(subgraph.edges())

[1, 3]
[(1, 3)]