Question

我有一个图，其中我的节点在两个方向上可以在它们之间有多个边，我想根据它们之间所有边的总和来设置节点之间的宽度。

import networkx as nx
nodes = [0,1]
edges = [(0,1),(1,0)]
G = nx.Graph()
G.add_nodes_from(nodes)
G.add_edges_from(edges)
weights = [2,3]
nx.draw(G, width = weights)

我希望将0到1之间的宽度设置为5，因为这是总重量。

Answer 1

首先，您需要创建一个MultiDiGraph并添加所有可能的边。这是因为它支持包括自循环在内的同一组节点之间的多个有向egdes。

import networkx as nx
nodes = [0, 1, 2, 3, 4, 5]
edges = [(0,1), (1,0), (1, 0),(0, 1), (2, 3), (2, 3), (2, 3), (2, 3),
         (4, 1), (4, 1), (4, 1), (4, 1), (4, 1), (4, 1), (4, 5), (5, 0)]
G = nx.MultiDiGraph()
G.add_nodes_from(nodes)
G.add_edges_from(edges)

接下来，创建一个包含每个边缘计数的字典

from collections import Counter
width_dict = Counter(G.edges())
edge_width = [ (u, v, {'width': value}) 
              for ((u, v), value) in width_dict.items()]

现在从上面创建的DiGraph字典中创建一个新的edge_width

G_new = nx.DiGraph()
G_new.add_edges_from(edge_width)

使用加厚边缘进行绘制

这是对here提到的答案的扩展。

edges = G_new.edges()
weights = [G_new[u][v]['width'] for u,v in edges] 
nx.draw(G_new, edges=edges, width=weights)

添加边缘标签

有关更多信息，请参见this answer。

pos = nx.spring_layout(G_new)
nx.draw(G_new, pos)
edge_labels=dict([((u,v,),d['width'])
             for u,v,d in G_new.edges(data=True)])

nx.draw_networkx_edges(G_new, pos=pos)
nx.draw_networkx_edge_labels(G_new, pos, edge_labels=edge_labels,
                             label_pos=0.25, font_size=10)

您还可以使用工作代码查看this Google Colab Notebook。

参考

计算networkx中节点之间的边缘

1 个答案: