我的动画无法正确绘制

Question

问题

我需要动画流畅，但它是逐帧绘制的。代码在 Jupyter Notebook 中运行。

这里是库

import numpy as np
from matplotlib import pyplot as plt
from scipy import signal as sp

创建要卷积的函数

t_ini=0
t_final = 11
dt=0.1
t = np.arange(t_ini,t_final,dt)
expo = np.exp(-t)*np.piecewise(t,t>=0,[1,0])
t1 = np.arange(0,10,0.1)
s = np.sin(t1)
conv_=sp.convolve(s,expo,'full')
n_conv=np.arange(min(t1)+min(t),max(t1)+max(t)+0.1,0.1)
y = [0] * len(conv_)
t2 = [0] * len(n_conv)

这是绘图

i = 0
for x in n_conv:

    y[i] = conv_[i]
    plt.cla()
    t2[i] = n_conv[i]
    plt.plot(t2,y)
    plt.show()
    plt.pause(0.5)

    i = i+1

Answer 1

matplotlib 提供例如ArtistAnimation，它允许预先计算的图形的无缝动画。我刚刚在您的代码中添加了几行。我唯一改变的是使用enumerate 来改进你的代码

import numpy as np
from matplotlib import pyplot as plt
from scipy import signal as sp
import matplotlib.animation as anim

t_ini=0
t_final = 11
dt=0.1
t = np.arange(t_ini,t_final,dt)
expo = np.exp(-t)*np.piecewise(t,t>=0,[1,0])
t1 = np.arange(0,10,0.1)
s = np.sin(t1)
conv_=sp.convolve(s,expo,'full')
n_conv=np.arange(min(t1)+min(t),max(t1)+max(t)+0.1,0.1)
y = [0] * len(conv_)
t2 = [0] * len(n_conv)

#prepare figure for display
fig = plt.figure()
ax = plt.axes()

#create list to collect graphs for animation
img = []
for i, x in enumerate(n_conv):

    y[i] = conv_[i]
    t2[i] = n_conv[i]
    #append new graphs to  list
    newpic, = ax.plot(t2, y, c= "blue")
    img.append([newpic])

#animate the list of precalculated graphs
ani = anim.ArtistAnimation(fig, img, interval = 50)
plt.show()

输出：