网络图超图

本文介绍了网络图超图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

有人熟悉networkx吗?

is anyone familiar with networkx?

我尝试获取一个超图，在这里我想将Hyperedges设置为列表中其他有色节点(大小取决于其值).我想将节点设置为其他列表. networkx网站上的文档和示例确实是多余的，但我相信这是可能的.

I try to get a hypergraph, where i want to set the Hyperedges as other colored nodes (size dependent on their value) out of an list. And i want to set the Nodes out of an other list. The documentation and examples on the networkx website are really spare, but i am sure it is possible.

我从此示例，但这只是针对不同边缘的示例.有人可以告诉我如何在networkx中放置具有不同颜色/大小的两个不同的节点集吗?

I started with this example, but this is only an example for different edges. Can someone tell me how i can put up two different set of nodes with different color/size in networkx?

推荐答案

是否要使用nx.draw_networkx_nodes和nodelist参数使用类似的方法

Did you want something like this use nx.draw_networkx_nodes using nodelist parameter:

# Author: Aric Hagberg (hagberg@lanl.gov) import matplotlib.pyplot as plt import networkx as nx G = nx.Graph() G.add_edge('a', 'b', weight=0.6) G.add_edge('a', 'c', weight=0.2) G.add_edge('c', 'd', weight=0.1) G.add_edge('c', 'e', weight=0.7) G.add_edge('c', 'f', weight=0.9) G.add_edge('a', 'd', weight=0.3) elarge = [(u, v) for (u, v, d) in G.edges(data=True) if d['weight'] > 0.5] esmall = [(u, v) for (u, v, d) in G.edges(data=True) if d['weight'] <= 0.5] pos = nx.spring_layout(G) # positions for all nodes # nodes nx.draw_networkx_nodes(G, pos, node_size=700, nodelist=['e','f','b']) nx.draw_networkx_nodes(G, pos, node_size=1400, nodelist=['c','a','d'], node_color='blue') # edges nx.draw_networkx_edges(G, pos, edgelist=elarge, width=6) nx.draw_networkx_edges(G, pos, edgelist=esmall, width=6, alpha=0.5, edge_color='b', style='dashed') # labels nx.draw_networkx_labels(G, pos, font_size=20, font_family='sans-serif') plt.axis('off') plt.show()

输出:

还要更改标签和形状:

# Author: Aric Hagberg (hagberg@lanl.gov) import matplotlib.pyplot as plt import networkx as nx G = nx.Graph() G.add_edge('a', 'b', weight=0.6) G.add_edge('a', 'c', weight=0.2) G.add_edge('c', 'd', weight=0.1) G.add_edge('c', 'e', weight=0.7) G.add_edge('c', 'f', weight=0.9) G.add_edge('a', 'd', weight=0.3) elarge = [(u, v) for (u, v, d) in G.edges(data=True) if d['weight'] > 0.5] esmall = [(u, v) for (u, v, d) in G.edges(data=True) if d['weight'] <= 0.5] pos = nx.spring_layout(G) # positions for all nodes # nodes nx.draw_networkx_nodes(G, pos, node_size=700, nodelist=['e','f','b']) nx.draw_networkx_nodes(G, pos, node_size=1400, nodelist=['c','a','d'], node_color='blue', node_shape='^') # edges nx.draw_networkx_edges(G, pos, edgelist=elarge, width=6) nx.draw_networkx_edges(G, pos, edgelist=esmall, width=6, alpha=0.5, edge_color='b', style='dashed') # labels nx.draw_networkx_labels(G, pos, font_size=20, font_family='sans-serif', labels={'f':'f','e':'e','b':'b'}) nx.draw_networkx_labels(G, pos, font_size=20, font_family='sans-serif', font_color='white', labels={'d':'d','a':'a','c':'c'}) plt.axis('off') plt.show()

输出: