试试看它的大小。
注意：我添加了一个现有边的副本，目的只是为了显示当多图中有重复时的行为。
from collections import Counter
c = Counter(g.edges()) # Contains frequencies of each directed edge.
for u, v, d in g.edges(data=True):
d['weight'] = c[u, v]
print(list(g.edges(data=True)))
#[(340, 269, {'weight': 1}),
# (340, 340, {'weight': 1}),
# (269, 340, {'weight': 1}),
# (398, 279, {'weight': 1}),
# (69, 28, {'weight': 1}),
# (382, 27, {'weight': 1}),
# (27, 285, {'weight': 2}),
# (27, 285, {'weight': 2}),
# (120, 422, {'weight': 1}),
# (422, 217, {'weight': 1}),
# (217, 340, {'weight': 1}),
# (458, 442, {'weight': 1}),
# (291, 431, {'weight': 1}),
# (68, 27, {'weight': 1}),
# (112, 269, {'weight': 1})]
要以边缘权重为厚度可视化图形，请使用以下命令：
nx.draw_networkx(g, width=[d['weight'] for _, _, d in g.edges(data=True)])
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