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有关于通过使用Maehler的代码NetworkX转换多重图以简单图表通过平均平行长度
import networkx as nx
G = nx.MultiGraph()
G.add_nodes_from([1,2,3])
G.add_edges_from([(1, 2), (1, 2), (1, 3), (2, 3), (2, 3)])
G2 = nx.Graph(G)
和另一个使用Aslak和ARIC的代码求和重量
import networkx as nx
# weighted MultiGraph
M = nx.MultiGraph()
M.add_edge(1,2,weight=7)
M.add_edge(1,2,weight=19)
M.add_edge(2,3,weight=42)
# create weighted graph from M
G = nx.Graph()
for u,v,data in M.edges_iter(data=True):
w = data['weight'] if 'weight' in data else 1.0
if G.has_edge(u,v):
G[u][v]['weight'] += w
else:
G.add_edge(u, v, weight=w)
print G.edges(data=True)
# [(1, 2, {'weight': 26}), (2, 3, {'weight': 42})]
多重图转换为简单图的一个解决方案
想知道如何平均平行边缘的重量?