import networkx as nx
import numpy as np
import matplotlib.pyplot as plt

G = nx.Graph()
G.add_edges_from(
    [('A', 'B'), ('A', 'C'), ('D', 'B'), ('E', 'C'), ('E', 'F'),
     ('B', 'H'), ('B', 'G'), ('B', 'F'), ('C', 'G')])

val_map = {'A': 1.0,
           'D': 0.5714285714285714,
           'H': 0.0}

values = [val_map.get(node, 0.25) for node in G.nodes()]

nx.draw(G, cmap=plt.get_cmap('viridis'), node_color=values, with_labels=True, font_color='white')
plt.show()

收益

values 中的数字与 G.nodes() 中的节点相关联.也就是说，values 中的第一个数字与 G.nodes() 中的第一个节点相关联，第二个类似，依此类推.

The numbers in values are associated with the nodes in G.nodes(). That is to say, the first number in values is associated with the first node in G.nodes(), and similarly for the second, and so on.