使用PyPlot为ScatterPlot设置动画 [英] Animate a ScatterPlot with PyPlot

问题描述

我正试图用pyplot绘制粒子的运动。
问题是我无法弄清楚如何创建动画。

I'm trying to plot the movement of particles with pyplot. The problem is that I can't figure out how to create the animation.

这是笔记本： http://nbviewer.ipython.org/gist/lhk/949c7bf7007445033fd9

显然更新功能无法正常工作，但错误信息对我来说太神秘了。我需要更改什么？

Apparently the update function doesn't work properly, but the error message is too cryptic for me. What do I need to change ?

你有一个关于pyplot动画的好教程吗？

Do you have a good tutorial on animation with pyplot ?

推荐答案

作为@ s0upa1t评论，您应该将数字句柄作为动画的第一个参数。由于动画需要 fig 对象，其属性为 canvas ，而是获得 scatter ，一个 PathCollection 对象，但没有。作为您想要的形式的动画的最小示例，请考虑，

As @s0upa1t comments you should have figure handle as the first argument to animation. The criptic error results from animation expecting a fig object, which has attribute canvas but instead gets scatter, a PathCollection object, which does not. As a minimal example of animation in the form you want, consider,

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

dt = 0.005
n=20
L = 1
particles=np.zeros(n,dtype=[("position", float , 2),
                            ("velocity", float ,2),
                            ("force", float ,2),
                            ("size", float , 1)])

particles["position"]=np.random.uniform(0,L,(n,2));
particles["velocity"]=np.zeros((n,2));
particles["size"]=0.5*np.ones(n);

fig = plt.figure(figsize=(7,7))
ax = plt.axes(xlim=(0,L),ylim=(0,L))
scatter=ax.scatter(particles["position"][:,0], particles["position"][:,1])

def update(frame_number):
    particles["force"]=np.random.uniform(-2,2.,(n,2));
    particles["velocity"] = particles["velocity"] + particles["force"]*dt
    particles["position"] = particles["position"] + particles["velocity"]*dt

    particles["position"] = particles["position"]%L
    scatter.set_offsets(particles["position"])
    return scatter, 

anim = FuncAnimation(fig, update, interval=10)
plt.show() 

很多很好的动画教程，但是回答这里特别好。

There are many good animation tutorials, however the answer here is particularly nice.

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