#从G中获取边的权值 w = nx.get_edge_attributes(G,'weight') # 绘图 nx.draw_networkx_edge_labels(G,pos,font_size=12,edge_labels=w) plt.show() 2.有向图 根据以下邻接矩阵创建有向图 # 创建有向图G=nx.DiGraph()List=[(1,2),(1,3),(2,3),(3,2),(3,5),(4,2),(4,6),(5,2...
G.add_edge('B','C', weight=2) G.add_edge('B','D', weight=4) G.add_edge('C','D', weight=1) 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,...
# 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...
import networkx as nx # 创建一个带有边属性的图 G = nx.Graph() G.add_edge('A', 'B', weight=5) G.add_edge('B', 'C', weight=3) # 遍历图中的每一条边并查看属性 for edge in G.edges(): source = edge[0] target = edge[1] attributes = G.get_edge_data(source, target) prin...
importnetworkx as nx oo= float('inf')#创建无向图G =nx.Graph() G.add_node(1)#添加节点1G.add_edge(2,3)#添加节点2,3并链接23节点print(G.nodes, G.edges, G.number_of_nodes(), G.number_of_edges())#创建有向图G =nx.DiGraph() ...
get_node_attributes(g, 'name') # 调用draw_networkx_labels画节点标签 nx.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...
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...
node_labels = nx.get_node_attributes(g, 'name') # 调用draw_networkx_labels画节点标签 nx.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') ...
pos=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_networkx_edge_labels(G,pos,edge_labels=labels,font_size=8...