一 代码
参考:官网API-Example
"""
衰减效果-Decay
Sin衰减
FuncAnimation()函数参考http://matplotlib.org/api/_as_gen/matplotlib.animation.FuncAnimation.html?highlight=funcanimation
matplotlib.animation.FuncAnimation(fig, func, frames=None, init_func=None, fargs=None, save_count=None, **kwargs)
fig:图像
func:每一帧都会调用及时更新函数,下一帧的数据。函数要求def func(fr: object, *fargs) -> iterable_of_artists:
frames:func的帧数据
init_func:第一帧前初始化,例如清空数据
fargs :元组,为调用参数增加参数
save_count :int,缓存帧的数量
interval:number,两帧之间的时延,默认为200 ms
repeat_delay:number,重复animation的时延
repeat:bool ,是否重复animation,默认True
blit:bool ,位块传输是否,默认False
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def data_gen(t=0):
cnt = 0
while cnt < 1000:
cnt += 1
t += 0.1
yield t, np.sin(2*np.pi*t) * np.exp(-t/10.)
def init():
ax.set_ylim(-1.1, 1.1)
ax.set_xlim(0, 10)
del xdata[:]
del ydata[:]
line.set_data(xdata, ydata)
return line,
def run(data):
# update the data
t, y = data
xdata.append(t)
ydata.append(y)
xmin, xmax = ax.get_xlim()
if t >= xmax:
ax.set_xlim(xmin, 2*xmax)
ax.figure.canvas.draw()
line.set_data(xdata, ydata)
return line
fig, ax = plt.subplots()#matplotlib.figure.Figure 画图设置大小事件等实例
line, = ax.plot([], [], lw=2)#描线
ax.grid()
xdata, ydata = [], []
ani = animation.FuncAnimation(fig, run, data_gen, blit=False, interval=10, repeat=False, init_func=init)
plt.show()
二效果

mathplotlib-Animation1:Sin函数衰减
原文:http://www.cnblogs.com/visuangel/p/7092626.html