from matplotlibimportpyplotaspltimportnetworkxasnxG=nx.Graph()G.add_nodes_from([1,2,3])G.add_edges_from([(1,2),(1,3)])nx.draw_networkx(G)plt.show() 结果为 三、networkx模块常用的属性和方法 1.图 代码语言:javascript 复制 degree(G[,nbunch,weight]):返回单个节点或nbunch节点的度数视图。d...
nx.draw_networkx_edges(G, weighted_pos, edgelist=internal, edge_color="gray") nx.draw_networkx_edges(G, weighted_pos, edgelist=external, edge_color="gray", style="dashed") 有向图 这次从gxef中读取数据,类型是directed有向图,每条边都包含source和target。 <?xml version='1.0' encoding='utf-8...
importnumpyasnpimportpandasaspdimportosimportnetworkxasnximportmatplotlib.pyplotaspltos.chdir("D:\Download")namespace=globals() 导入数据 前两列为拓扑端点,最后一列为权重(权重取值范围为0 ~ 1) data=pd.DataFrame()data['from']=["M","A","B","H","K","M","A","B","C","E","F","G"...
@staticmethoddefdraw_directed_graph(my_graph,name='out'):nx.draw_networkx(my_graph,pos=nx.circular_layout(my_graph),vmin=10,vmax=20,width=2,font_size=8,edge_color='black')picture_name=name+".png"plt.savefig(picture_name)# print('save success: ', picture_name)# plt.show()@staticmetho...
draw(G,node_color = 'red') 12plt.savefig("youxiangtu.png") 13plt.show() 代码语言:javascript 复制 1from __future__ import division 2import matplotlib.pyplot as plt 3import networkx as nx 4 5G = nx.generators.directed.random_k_out_graph(10, 3, 0.5) 6pos = nx.layout.spring_layout...
if directed: adjacency_matrix[edge[0], edge[1]] = 1 else: adjacency_matrix[edge[0], edge[1]] = 1 adjacency_matrix[edge[1], edge[0]] = 1 return adjacency_matrix # 测试 edges = [(0 , 1), (0, 2), (1 , 2), (2, 3)] ...
自定义NetworkX图形外观 Custom NetworkX graph appearance 网络布局的可能性 Network layout possibilities 有向或无向网络 Directed or Undirected network 将颜色映射到网络节点 Map a color to network nodes 将颜色映射到网络的边 Map colour to the edges of a Network ...
from matplotlib import pyplot as pltimport networkx as nxG=nx.Graph()G.add_nodes_from([1,2,3])G.add_edges_from([(1,2),(1,3)])nx.draw_networkx(G)plt.show() 结果为 三、networkx模块常用的属性和方法 1.图 degree(G[, nbunch, weight]):返回单个节点或nbunch节点的度数视图。degree_histog...
NetworkX NetworkX是一个用于创建,操作和研究复杂网络的结构,动态和功能的Python包。使用NetworkX,我们可以使用标准和非标准数据格式加载和存储网络,生成多种类型的随机和经典网络,分析网络结构,构建网络模型,设计新的网络算法,绘制网络等等。 基础教程 创建一个图 ...
()) # 显示边的数据 print(g.edges().data()) # nx.draw(g,with_labels=True) # 显示节点的名称 # 显示边的标签信息 pos=nx.spring_layout(g); nx.draw_spring(g,with_labels=True); # 显示节点的名称 nx.draw_networkx_edge_labels(g,pos,font_size=14,alpha=0.5,rotate=True); plt.axis('...