2.networkx计算 # 定义边和权重List=[(0,1,7),(0,2,9),(0,5,14),(1,2,10),(1,3,15),(2,3,11),(2,5,2),(3,4,6),(4,5,9)]# 创建无向图G=nx.Graph()G.add_weighted_edges_from(List)# 节点在同心圆上分布pos=nx.shell_layout(G)# 从G中获取边的权值w=nx.get_edge_attribu...
G.add_edge('B','C', weight=5) G.add_edge('C','D', weight=2) G.add_edge('C','E', weight=5) pos = nx.spring_layout(G) nx.draw(G, pos, with_labels=True) # 获取边的权重 labels = nx.get_edge_attributes(G,'weight') # 绘制带有权重的边 nx.draw_networkx_edge_labels(G,...
capacity= nx.get_edge_attributes(G,'capacity')#nx.draw_networkx_nodes(G, pos)#nx.draw_networkx_edges(G, pos)#nx.draw_networkx_labels(G, pos)#nx.draw_networkx_edge_labels(G,pos,capacity)#最大流flow_value, flow_dict = nx.maximum_flow(G,'x','y', flow_func=shortest_augmenting_path)...
# Visualize the knowledge graphpos = nx.spring_layout(G, seed=42, k=0.9)labels = nx.get_edge_attributes(G, 'label')plt.figure(figsize=(12, 10))nx.draw(G, pos, with_labels=True, font_size=10, node_size=700, node_color='lightblue', edge_color='gray', alpha=0.6)nx.draw_net...
draw_networkx_labels(g, pos, labels=node_labels) # 画边 nx.draw_networkx_edges(g, pos=pos, width=0.3, alpha=0.2) # 边的样式 edge_labels = nx.get_edge_attributes(g, 'procname') # 调用draw_networkx_edge_labels画和边的标签。 nx.draw_networkx_edge_labels(g, pos, edge_labels=edge_...
G(NetworkX graph):图。 source(node):起始点。 target(node):终点站。 weight(string or function):主要参数为字符串数组(string)时,按该字符串数组搜索边的特性做为权重值;假如该字符串数组相匹配的边特性不会有,则权重值置为1;主要参数为涵数时,边的权重值是涵数的传参。
labels = nx.get_edge_attributes(gAnt,'weight') nx.draw_networkx_edge_labels(gAnt,pos,edge_labels=labels, font_color='c') # 显示权值 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...
import networkx as nx import matplotlib.pyplot as plt 1. 2. 3.2 基本图结构操作函数 G = nx.Graph() 定义了一个空图 G.add_node(1) 这个图中增加了1节点 G.add_nodes_from([2, 3]) 同时加2和3两个节点 G.add_edge(1,2)#添加边,起点为1,终点为2 ...
G(NetworkX graph):图。 source (node):起点。 target (node):终点。 weight (string or function):参数为字符串(string)时,按该字符串查找边的属性作为权重;如果该字符串对应的边属性不存在,则权重置为1;参数为函数时,边的权重是函数的返回值。
labels = nx.get_edge_attributes(gAnt,'weight') nx.draw_networkx_edge_labels(gAnt,pos,edge_labels=labels, font_color='c')# 显示权值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')# ...