networkx库绘制带权图给无权图加权重输出_python_

''' author：zheng time：2020.10.23 ''' import networkx as nx import random g = nx.karate_club_graph() # 空手道俱乐部 for u,v in g.edges: print(u,v) g.add_edge(u, v, weight=random.uniform(0, 1)) # 权值为(0,1)间的随机数 print(g.edges()) 

''' author：zheng time：2020.10.23 ''' import networkx as nx import random g = nx.karate_club_graph() # 空手道俱乐部 for u,v in g.edges: g.add_edge(u, v, weight=random.uniform(0, 1)) # 权值为(0,1)间的随机数 print(g.edges(data=True)) 

[(0, 1, {'weight': 0.49899129531032826}), (0, 2, {'weight': 0.7493395367183026}), (0, 3, {'weight': 0.9805046801748599}), (0, 4, {'weight': 0.644560549909913}), (0, 5, {'weight': 0.022461095194206915}), (0, 6, {'weight': 0.39855273941801683}), (0, 7, {'weight': 0.9167666610641618}), (0, 8, {'weight': 0.3736839965822629}), (0, 10, {'weight': 0.1685687039463848}), (0, 11, {'weight': 0.5900599708379352}), (0, 12, {'weight': 0.49772285717726605}), (0, 13, {'weight': 0.6988903320924684}), (0, 17, {'weight': 0.8108991409995218}), (0, 19, {'weight': 0.21743421569163335}), (0, 21, {'weight': 0.687637570308398}), (0, 31, {'weight': 0.13180440967486262}), (1, 2, {'weight': 0.0603379086168323}), (1, 3, {'weight': 0.9536653778354264}), (1, 7, {'weight': 0.1680232359702576}), (1, 13, {'weight': 0.23821372652905115}), (1, 17, {'weight': 0.6861169007257469}), (1, 19, {'weight': 0.006553274592374314}), (1, 21, {'weight': 0.23452495215883118}), (1, 30, {'weight': 0.7638165639559286}), (2, 3, {'weight': 0.18381620307197954}), (2, 7, {'weight': 0.08671998389998026}), (2, 8, {'weight': 0.7395899045684956}), (2, 9, {'weight': 0.5973616237830935}), (2, 13, {'weight': 0.25253256663029156}), (2, 27, {'weight': 0.4151629971620948}), (2, 28, {'weight': 0.6830413630275037}), (2, 32, {'weight': 0.10877354662752325}), (3, 7, {'weight': 0.3165078261209674}), (3, 12, {'weight': 0.3258985972202395}), (3, 13, {'weight': 0.5617183737707032}), (4, 6, {'weight': 0.9944831897451706}), (4, 10, {'weight': 0.4258447405573552}), (5, 6, {'weight': 0.17102663345956715}), (5, 10, {'weight': 0.41020894392823837}), (5, 16, {'weight': 0.24048864347638477}), (6, 16, {'weight': 0.5401785263069063}), (8, 30, {'weight': 0.4604358340149278}), (8, 32, {'weight': 0.9601569527970788}), (8, 33, {'weight': 0.2905405465193912}), (13, 33, {'weight': 0.2556445407164615}), (19, 33, {'weight': 0.3008126988319231}), (31, 24, {'weight': 0.8781944129721222}), (31, 25, {'weight': 0.392828914742127}), (31, 28, {'weight': 0.7410701847068474}), (31, 32, {'weight': 0.39869250595380246}), (31, 33, {'weight': 0.4380052794486696}), (30, 32, {'weight': 0.4587792580500568}), (30, 33, {'weight': 0.5106934704075864}), (9, 33, {'weight': 0.9037424067215868}), (27, 23, {'weight': 0.9151325306454512}), (27, 24, {'weight': 0.6079907996445639}), (27, 33, {'weight': 0.6168782680542676}), (28, 33, {'weight': 0.9529880704286767}), (32, 14, {'weight': 0.21711370788129514}), (32, 15, {'weight': 0.21906480255644156}), (32, 18, {'weight': 0.36297161231472697}), (32, 20, {'weight': 0.8295507296873654}), (32, 22, {'weight': 0.725850047579389}), (32, 23, {'weight': 0.06395474428944792}), (32, 29, {'weight': 0.021001018687274553}), (32, 33, {'weight': 0.29227780907194645}), (33, 14, {'weight': 0.7898337840851372}), (33, 15, {'weight': 0.06574640956244104}), (33, 18, {'weight': 0.3193055980182168}), (33, 20, {'weight': 0.22814267912232755}), (33, 22, {'weight': 0.934928086748862}), (33, 23, {'weight': 0.8780586608909188}), (33, 26, {'weight': 0.834765093283264}), (33, 29, {'weight': 0.8927802653939352}), (23, 25, {'weight': 0.18106036608743914}), (23, 29, {'weight': 0.7824721548411848}), (25, 24, {'weight': 0.9362577071184671}), (29, 26, {'weight': 0.06557785001633887})] 

import networkx as nx import random g = nx.karate_club_graph() # 空手道俱乐部 for u,v in g.edges: g.add_edge(u, v, weight=random.uniform(0, 1)) # 权值为(0,1) for (u,v,d) in g.edges(data=True): print(d['weight'])