matplotlib画动态图

import matplotlib.animation as animation
import matplotlib.pyplot as plt
import networkx as nx
import matplotlib
matplotlib.use('TkAgg')


def draw(i):
    N = 10
    G = nx.random_graphs.erdos_renyi_graph(N, 0.1)
    G.add_nodes_from([i for i in range(N)])
    pos = nx.spring_layout(G)

    ax.cla()
    ax.axis('off')
    ax.set_title('Epoch: %d' % i)
    nx.draw_networkx(G, pos, with_labels=True, node_size=300, ax=ax)


fig = plt.figure(dpi=150)
fig.clf()
ax = fig.subplots()
draw(0)  # draw the prediction of the first epoch


fps = 1
ani = animation.FuncAnimation(fig, draw, frames=10, interval=1000/fps)
ani.save('change.gif', writer='pillow', fps=fps)
plt.show()

更多内容见：
https://blog.csdn.net/u013180339/article/details/77002254