本文简要介绍 networkx.drawing.nx_pylab.draw_networkx_edges 的用法。 用法: draw_networkx_edges(G, pos, edgelist=None, width=1.0, edge_color='k', style='solid', alpha=None, arrowstyle='-|>', arrowsize=10, edge_cmap=None, edge_vmin=None, edge_vmax=None, ax=None, arrows=None, label...
nx.draw_networkx_edges(G, pos, edgelist = esmall, width =0.4, alpha =0.6, style ='dashed')# labelsnx.draw_networkx_labels(G, pos, font_size =6, font_family ='sans-serif')print'number of cliques/clusters:', nx.graph_number_of_cliques(G)print'time:', time.time() - start plt.s...
>>> nx.shortest_path(GG, 1, 3) [1, 2, 3] 9. 基础做图 G = nx.petersen_graph() plt.subplot(121) nx.draw(G, with_labels=True, font_weight='bold') plt.subplot(122) #这个draw_shell好像是按照某种叫shell的布局绘制 nx.draw_shell(G, nlist=[range(5, 10), range(5)], with_labe...
nx.draw(G, with_labels=True) plt.show() 6、详细示例:构建和分析一个简单的社交网络 import networkx as nx import matplotlib.pyplot as plt # 创建一个空的无向图 G = nx.Graph() # 添加节点和边 nodes = ['Alice', 'Bob', 'Cathy', 'David'] edges = [('Alice', 'Bob'), ('Alice', ...
nx.draw_networkx_edges(User,pos,with_labels =True, alpha=0.5 ) plt.show() communit.best_partition 是社区划分方法,算法是根据Vincent D.Blondel 等人于2008提出,是基于modularity optimization的heuristic方法. partition的结果存在字典数据类型: {'1': 0, '3': 1, '2': 0, '5': 1, '4': 0, ...
draw_networkx_edges(cox,pos,edgelist=elarge, width=1, alpha=0.5, edge_color='black') #, edge_cmap=plt.cm.Blues nx.draw_networkx_edges(cox,pos,edgelist=esmall, width=0.3,alpha=0.5,edge_color='yellow',style='dotted') # labels nx.draw_networkx_labels(cox,pos,font_size=10,font_family...
nx.draw_networkx_nodes(gAnt,pos,nodelist=[0,17],node_color='yellow') # 设置顶点颜色 nx.draw_networkx_nodes(gAnt,pos,nodelist=[7,12],node_color='lime') # 设置顶点颜色 nx.draw_networkx_edges(gAnt,pos,edgelist=[(2,4),(13,14)],edge_color='lime',width=2.5) # 设置边的颜色 ...
nx.draw(G)plt.show()7 往图里面加入一系列边：G.add_edges_from([(1,2),(1,3)])8 绘制一个六阶完全图：G = nx.complete_graph(6)9 把图 标准化：nx.draw_circular(G)10 加上标签：nx.draw_networkx(G)11 随机的画图：nx.draw_random(G)12 绘制“光谱图”？nx.draw_spectral(G)
设置顶点属性。nx.draw_networkx_nodes() 可以设置顶点的属性,例如对 nodelist 列表中的节点设置颜色属性 node_color。 设置边的属性。nx.draw_networkx_edges() 可以设置边的属性,例如对 edgelist 列表中的边设置线宽属性 width 和颜色属性 edge_color。
nx.draw_networkx(G, karate_pos, label=True, node_color=node_color) 遍历边 # Iterate through all edges for v, w in G.edges: # Compare `club` property of edge endpoints # Set edge `internal` property to True if they match if G.nodes[v]["club"] == G.nodes[w]["club"]: # 两...