Question

如何用 Matplotlib 画 GIF 动图

Answer 1

第一个例子使用generator，每隔两秒，就运行函数data_gen：

[python] view plain copy
# -*- coding: utf-8 -*-

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

fig = plt.figure()
axes1 = fig.add_subplot(111)
line, = axes1.plot(np.random.rand(10))

#因为update的参数是调用函数data_gen,所以第一个默认参数不能宏旁乎是framenum
def update(data):
line.set_ydata(data)
return line,
# 每次生成10个蔽悉随机数据
def data_gen():
while True:
yield np.random.rand(10)

ani = animation.FuncAnimation(fig, update, data_gen, interval=2*1000)
plt.show()
第二个例子使用list（metric），每次从metric中取一行数据作为参数送入update中：
[python] view plain copy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

start = [1, 0.18, 0.63, 0.29, 0.03, 0.24, 0.86, 0.07, 0.58, 0]

metric =[[0.03, 0.86, 0.65, 0.34, 0.34, 0.02, 0.22, 0.74, 0.66, 0.65],
[0.43, 0.18, 0.63, 0.29, 0.03, 0.24, 0.86, 0.07, 0.58, 0.55],
[0.66, 0.75, 0.01, 0.94, 0.72, 0.77, 0.20, 0.66, 0.81, 0.52]
]

fig = plt.figure()
window = fig.add_subplot(111)
line, = window.plot(start)
#如果是参数是启裂list,则默认每次取list中的一个元素,即metric[0],metric[1],...
def update(data):
line.set_ydata(data)
return line,

ani = animation.FuncAnimation(fig, update, metric, interval=2*1000)
plt.show()