我试过运行这个,我得到了内存地址的最短路径。如何从输出中删除内存地址
import networkx as nx
G=nx.Graph()
G.add_nodes_from([1,2,3,4])
G.add_weighted_edges_from([(1,2,8),(1,3,5),(2,4,1),(3,4,2)])
print(nx.floyd_warshall(G))
这是输出
{1: defaultdict(<function floyd_warshall_predecessor_and_distance.<locals>.<lambda>.<locals>.<lambda> at 0x000002AA0C397B70>, {1: 0, 2: 8, 3: 5, 4: 7}),
`2: defaultdict(<function floyd_warshall_predecessor_and_distance.<locals>.<lambda>.<locals>.<lambda> at 0x000002AA0D96A378>, {1: 8, 2: 0, 3: 3, 4: 1}),
3: defaultdict(<function floyd_warshall_predecessor_and_distance.<locals>.<lambda>.<locals>.<lambda> at 0x000002425C098F28>, {1: 5, 2: 3, 3: 0, 4: 2}),
4: defaultdict(<function floyd_warshall_predecessor_and_distance.<locals>.<lambda>.<locals>.<lambda> at 0x000002425C0A2048>, {1: 7, 2: 1, 3: 2, 4: 0})}
我想要的输出是这样的 -
1:{1:0, 2:8, 3:5, 4:7}
2:{1:8, 2:0, 3:3, 4:1}
3:{1:5, 2:3, 3:0, 4:2}
4:{1:7, 2:1, 3:2, 4:0}
答案 0 :(得分:0)
看起来它是字典中的字典:
您可以这样做:
data = nx.floyd_warshall(G)
for key, value in data.iteritems():
print('%s %s' % (key, value.values()))
或者如果你想要键:值对:
import json
data = nx.floyd_warshall(G)
for key, value in data.iteritems():
print('%s %s' % (key, json.dumps(value)))
答案 1 :(得分:0)
它打印出一个默认值的字典(这是networkx返回的字典),但你希望它打印一个字典的字典,所以你需要convert those defaultdicts into dicts。
[assembly: InternalsVisibleTo("UnitTestProject2.Fakes")],
[assembly: InternalsVisibleTo("UnitTestProject2.Tests")]