【发布时间】:2021-08-02 20:03:05
【问题描述】:
我正在尝试构建分销网络图。在过去,我使用 add_edges_from() 能够在 1 步中导入所有图形。我有几个单向边缘,但是当我导入其中一些时,它们正在反向导入。有没有办法指导 jupyter 使边缘成为单向边缘。具体来说: RIC -> MAR, VB->RIC, VB->WDC, AND RIC-> NCA & NCA-> VB 应该是不同容量的2路。
import networkx as nx
D = nx.Graph()
edges= [('CD', 'MAR', {'capacity': 200}),
('CD', 'RIC', {'capacity': 200}),
('CD', 'NCA',{'capacity': 150}),
('RIC', 'NCA', {'capacity': 145}),
('NCA', 'RIC', {'capacity': 125}),
('RIC', 'MAR', {'capacity': 100}),
('RIC', 'WDC', {'capacity': 230}),
('NCA', 'WDC', {'capacity': 100}),
('VB', 'RIC', {'capacity': 275}),
('MAR', 'WDC', {'capacity': 150}),
('NCA', 'VB', {'capacity': 200}),
('VB', 'NCA', {'capacity': 175}),
('VB', 'WDC', {'capacity': 50})]
D.add_edges_from(edges)
print('Number of Nodes:',D.number_of_nodes())
print('Nodes:', list (D.nodes))
print( 'Number of Edges',D.number_of_edges())
for i in range(len(D.edges)):
print('Edge:',list(D.edges)[i] ,list(D.edges.values())[i])
maxflow=nx.maximum_flow(D,'CD','WDC')
print('Flow from each node (From Node: {Node reciveing: Flow})')
for key in maxflow[1]:
print(key, ' : ', maxflow[1][key])
感谢您的帮助!
【问题讨论】:
标签: networking graph jupyter-notebook networkx