Python: networkx 自定义图形节点标签？

Question

我有以下示例代码：

import pandas as pd
import networkx as nx

import matplotlib.pyplot as plt


def view_graph(graph, labels):
    '''
        Plots the graph
    '''
    pos = nx.spring_layout(graph)

    nx.draw(graph, pos, with_labels=True)
    nx.draw_networkx_edge_labels(graph, pos,edge_labels=labels)
        
    plt.axis('off')
    plt.show()

index_to_name = {1: "Paul", 2: "Magda", 3: "Paul", 4: "Anna", 5: "Marie", 6: "John", 7: "Mark"}
relation = {}
g = nx.DiGraph()

g.add_edge(1, 4)
relation[(1,4)] = "dad"
g.add_edge(2, 4)
relation[(2,4)] = "mom"

g.add_edge(1, 5)
relation[(1,5)] = "dad"
g.add_edge(2, 5)
relation[(2,5)] = "mom"

g.add_edge(3, 6)
relation[(1,6)] = "dad"
g.add_edge(4, 6)
relation[(2,6)] = "mom"

g.add_edge(3, 7)
relation[(1,7)] = "dad"
g.add_edge(4, 7)
relation[(2,7)] = "mom"

view_graph(g, relation)

我的插图window看起来像这样：

我有两个问题，不知道如何解决：

他们是否有可能在插图中显示字典 index_to_name 中的名字而不是我引入的索引以确保唯一节点（在字典中名字 Paul 出现了两次，所以名字“Paul " 应该有两个节点）。
如何解决图中用红色矩形标记的边缘标签的问题。我的目标是添加这些标签，以便清楚参考了哪条边？

希望你能帮我解决这两个问题

Answer 1

W.r.t。问题 1)，您可以将 with_labels 设置为 False（或简单地省略参数），然后添加对 nx.draw_networkx_labels:

的函数调用

import matplotlib.pyplot as plt
import networkx as nx

def view_graph(graph, node_labels, edge_labels):
    '''
        Plots the graph
    '''
    pos = nx.spring_layout(graph)
    nx.draw(graph, pos, node_color='lightgray')
    nx.draw_networkx_labels(graph, pos, labels=node_labels)
    nx.draw_networkx_edge_labels(graph, pos, edge_labels=edge_labels)
    plt.axis('off')
    plt.show()

index_to_name = {1: "Paul", 2: "Magda", 3: "Paul", 4: "Anna", 5: "Marie", 6: "John", 7: "Mark"}

relation = {}
relation[(1, 4)] = "dad"
relation[(2, 4)] = "mom"
relation[(1, 5)] = "dad"
relation[(2, 5)] = "mom"
relation[(3, 6)] = "dad"
relation[(4, 6)] = "mom"
relation[(3, 7)] = "dad"
relation[(4, 7)] = "mom"

g = nx.from_edgelist(relation, nx.DiGraph())

view_graph(g, index_to_name, relation)

Python: networkx 自定义图形节点标签？

Python: networkx customize graph node labels?

python

label

networkx