import networkx as nx import matplotlib.pyplot as plt G = nx.Graph() # example graph for color in "bgrcmyk": G.add_edge('s'+color,'t'+color, color=color) # edge_color_attr = nx.get_edge_attributes(G,'color') # edges = edge_color_attr.keys() # colors = edge_color_attr.valu...
绘制图形,并根据颜色标签进行边的着色:pos = nx.spring_layout(G) # 定义节点的布局 nx.draw_networkx_nodes(G, pos) # 绘制节点 nx.draw_networkx_labels(G, pos) # 绘制节点标签 nx.draw_networkx_edges(G, pos, edge_color=[edge_colors[u][v] for u, v in G.edges()]) # 绘制边...
'node_color':'red', 'edge_color':'gray', 'width': edgewidth, 'with_labels':True, } nx.draw(G, **options) 最后,给出NetworkX可视化网络的高阶示例,这或许会让你重新审视NetworkX在复杂网络可视化中的地位。 importmatplotlib.pyplotasplt importnetworkxasnx G = nx.barabasi_albert_graph(20,2) #...
nx.draw_networkx_labels(B,pos) colors = [ B.edges[u,i]['weight'] for u,i in B.edges] edges = nx.draw_networkx_edges(B, pos = pos, edge_color = colors, width=3, edge_cmap=plt.cm.Blues, with_labels=False, edge_vmin = 0, alpha=0.9) pc = mpl.collections.PatchCollection(Edge...
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=None, node_size=300, nodelist=None, node_shape='o', connectionstyle='ar...
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 ...
I am pretty novice in Python and started learning networkx to plot a graph, or road network. I have to specify, the node positions. The edge color should be dependent on the values of the edges. I tried using pandas dataframe to generate edges. The edge colors work fine when...
Networkx支持创建简单无向图、有向图和多重图(multigraph);内置许多标准的图论算法,节点可为任意数据;支持任意的边值维度,功能丰富,简单易用。 2.1 图的基本概念 图(Graph)。若干点和一些连接这些点的连线,所构成关系结构就是一个图。 顶点(Node)和边(Edge)。图中的点称为顶点,也称节点。两个顶点之间的连线,...
# 更改节点的大小和颜色nx.draw(graph,node_size=1200,node_color="blue")# 更改边的颜色和宽度nx.draw(graph,edge_color="red",width=2)# 更改图像的大小plt.figure(figsize=(5,5))nx.draw(graph)# 保存图像plt.savefig("networkx_plot.png")# 关闭图像plt.close() ...
draw_networkx_nodes(G,pos,[nodelist]) 绘制网络G的节点图 draw_networkx_edges(G,pos[edgelist]) 绘制网络G的边图 draw_networkx_edge_labels(G, pos[, ...])绘制网络G的边图,边有label ---有layout 布局画图函数的分界线--- draw_circular(G, **kwargs)Draw the graph G with a circular layout....