将 Networkx 图变成字典

Question

我使用以下函数生成一个 networkx 图：

import networkx as nx
import matplotlib.pyplot as plt
from itertools import combinations, groupby
import random
def gnp_random_connected_graph(n, p):
    """
    Generates a random undirected graph, similarly to an Erdős-Rényi 
    graph, but enforcing that the resulting graph is connected
    """
    edges = combinations(range(n), 2)
    G = nx.Graph()
    G.add_nodes_from(range(n))
    if p <= 0:
        return G
    if p >= 1:
        return nx.complete_graph(n, create_using=G)
    for _, node_edges in groupby(edges, key=lambda x: x[0]):
        node_edges = list(node_edges)
        random_edge = random.choice(node_edges)
        G.add_edge(*random_edge)
        for e in node_edges:
            if random.random() < p:
                G.add_edge(*e)
    return G

然后我想使用以下函数为创建的图形着色：

def coloring(adj, V):

    result = [-1] * V
    result[0] = 0
    available = [False] * V

    for y in range(0, V):
        for x in adj[y]:
            if y not in adj[x]:
                adj[x].append(y)

    for u in range(1, V):
        for i in adj[u]:
            if (result[i] != -1):
                available[result[i]] = True
        cr = 0
        while cr < V:
            if (available[cr] == False):
                break

            cr += 1

        result[u] = cr

        for i in adj[u]:
            if (result[i] != -1):
                available[result[i]] = False

    for u in range(V):
        print("Vertec", u, " --->  Color", result[u])

问题是我需要将 networkx 图作为字典，然后通过执行以下操作将其插入 coloring：

coloring([node for node in g.values()], 5)

其中 g 是作为字典的图那么如何将 networkx 图变成一个字典，其中节点是键，每个节点连接到的节点是它的关联值？有没有办法在不将 networkx 图转换为字典的情况下做到这一点？

节点：图的平面度不用介意，后面再处理

Answer 1

不确定这是否是您要查找的内容，但使用字典理解可能会有所帮助：

# this creates a dictionary where each node maps to list of neighbours
G_dict = {node: list(G[node]) for node in G}

将 Networkx 图变成字典

turning a Networkx graph into a dictionary

python

dictionary

graph

function

networkx