如何从Networkx或DyNetx上的图形列表生成动态图形

import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.animation as animation

G = nx.Graph()

nodes = [1, 2, 3, 4]  # 节点列表
edges = [(1, 2), (2, 3), (3, 4)]  # 边列表

G.add_nodes_from(nodes)
G.add_edges_from(edges)

def update(frame):
    plt.clf()  # 清空当前图形
    pos = nx.spring_layout(G)  # 计算节点的布局

    # 绘制节点
    nx.draw_networkx_nodes(G, pos, node_color='b', node_size=500)

    # 绘制边
    nx.draw_networkx_edges(G, pos, edge_color='gray')

    # 绘制节点标签
    nx.draw_networkx_labels(G, pos, font_color='w')

    # 更新图形标题
    plt.title('Dynamic Graph')

# 创建动画对象
ani = animation.FuncAnimation(plt.gcf(), update, frames=10, interval=1000)

plt.show()