Python matplotlib库制作简单的动画

import matplotlib.animation as ma
def update(number):
    pass

# 每隔30毫秒,执行一次update
ma.FuncAnimation(
    mp.gcf(),   # 作用域当前窗体
    update,     # 更新函数的函数名
    interval=30 # 每隔30毫秒,执行一次update
) 

"""
简单动画
1. 随机生成100个气泡.
2. 每个气泡拥有四个属性: position, size, growth, color
3. 把每个气泡绘制到窗口中.
4. 开启动画,在update函数中更新每个气泡的属性并重新绘制
"""
import numpy as np
import matplotlib.pyplot as mp
import matplotlib.animation as ma

n = 100
balls = np.zeros(n, dtype=[
        ('position', float, 2), # 位置属性
        ('size', float, 1),     # 大小属性
        ('growth', float, 1),   # 生长速度
        ('color', float, 4)])   # 颜色属性
# 初始化每个泡泡
# uniform: 从0到1取随机数,填充n行2列的数组
balls['position']=np.random.uniform(0,1,(n,2))
balls['size']=np.random.uniform(50,70,n)
balls['growth']=np.random.uniform(10,20,n)
balls['color']=np.random.uniform(0,1,(n,4))
# 绘制100个泡泡
mp.figure('Bubble', facecolor='lightgray')
mp.title('Bubble', fontsize=18)
mp.xticks([])
mp.yticks([])
sc = mp.scatter(balls['position'][:,0],
           balls['position'][:,1],
           balls['size'],
           color=balls['color'])

# 启动动画
def update(number):
    balls['size'] += balls['growth']
    # 让某个泡泡破裂,从头开始执行
    boom_i = number % n
    balls[boom_i]['size'] = 60
    balls[boom_i]['position']= 
            np.random.uniform(0, 1, (1, 2))
    # 重新设置属性
    sc.set_sizes(balls['size'])
    sc.set_offsets(balls['position'])

anim = ma.FuncAnimation(
    mp.gcf(), update, interval=30)

mp.show()

"""
模拟心电图
"""
import numpy as np
import matplotlib.pyplot as mp
import matplotlib.animation as ma

mp.figure('Signal', facecolor='lightgray')
mp.title('Signal', fontsize=16)
mp.xlim(0, 10)
mp.ylim(-3, 3)
mp.grid(linestyle=':')
pl = mp.plot([],[], color='dodgerblue',
        label='Signal')[0]
# 启动动画
def update(data):
    t, v = data
    x, y = pl.get_data()  #x y: ndarray数组
    x = np.append(x, t)
    y = np.append(y, v)
    # 重新绘制图像
    pl.set_data(x, y)
    # 移动坐标轴
    if x[-1]>5:
        mp.xlim(x[-1]-5, x[-1]+5)

x = 0
def generator():
    global x
    y = np.sin(2 * np.pi * x) * 
        np.exp(np.sin(0.2 * np.pi * x))
    yield (x, y)
    x += 0.05

anim = ma.FuncAnimation(mp.gcf(),
    update, generator, interval=30)
mp.show()