Draw different color for nodes in networkx based on their node value

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()

yields

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.