我写了一段代码来解释波浪的叠加。我在下面粘贴我的代码并输出。但是问题是我只创建了静态图。...如果我可以对波浪（在我的代码：subplot(211)中）和相应的结果在subplot(212)中进行动画处理，事情将变得更加有趣。但是到目前为止，我只能在没有子图的情况下进行动画处理……当我在互联网上研究“使用matplotlib在子图中进行动画处理”时，结果对我来说不是那么容易理解，并且与本例中的代码也不同。
在这方面，谁能帮助我？如果动画基于我的以下代码结构会更好（当然，可以理解子图动画的必要更改）。谢谢你们。
我的密码
#Composition of Waves
import matplotlib as mpl
mpl.rc('text', usetex = True)
mpl.rc('font', family = 'serif')
import matplotlib.pyplot as plt
import numpy as np
plt.gca().set_aspect('equal', adjustable='box')
plt.style.use(['ggplot','dark_background'])
title = 'Composition of Waves'
#Parameters:
#a=Amplitude; w=Angular Frequency; phi = Phase Angle.
#Definition of the function:
def f(t,a,w,phi):
y = a*np.sin(w*t + phi)
return y
t = np.arange(0,4*np.pi,0.001)
def create_plot(ptype):
y1 = f(t,1,1,1)
y2 = f(t,2,2,2)
y = y1 + y2
if ptype == 'waves':
plt.plot(t, y1, label='$y=f_1(t)$')
plt.plot(t, y2, label='$y=f_2(t)$')
elif ptype == 'composition':
plt.plot(t, y, label='$Composition$', color= 'm')
plt.figure(1)
plt.subplot(211)
create_plot('waves')
plt.legend()
plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))
#plt.xlabel('$x$')
plt.ylabel('$y$')
plt.title(title)
plt.subplot(212)
create_plot('composition')
plt.legend()
plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))
plt.xlabel('$t$')
plt.ylabel('$y$')
# Tweak spacing between subplots to prevent labels
from overlapping
plt.subplots_adjust(hspace=0.5)
plt.savefig('composition_Waves.eps', format='eps', dpi=1000,bbox_inches='tight')
plt.show()
输出量
在这里，我想为不同的
w和phi中的波浪设置动画。 最佳答案
无论是否有子图，创建动画都没有什么不同。唯一重要的是保留对Artist对象的引用（在这种情况下，由Line2D返回的plt.plot()对象可以在动画功能中修改其属性（数据）。
import matplotlib as mpl
mpl.rc('text', usetex = False)
mpl.rc('font', family = 'serif')
import matplotlib.pyplot as plt
import numpy as np
plt.gca().set_aspect('equal', adjustable='box')
plt.style.use(['ggplot','dark_background'])
title = 'Composition of Waves'
#Parameters:
#a=Amplitude; w=Angular Frequency; phi = Phase Angle.
#Definition of the function:
def f(t,a,w,phi):
y = a*np.sin(w*t + phi)
return y
t = np.arange(0,4*np.pi,0.001)
def create_plot(ptype):
y1 = f(t,1,1,1)
y2 = f(t,2,2,2)
y = y1 + y2
arts = []
if ptype == 'waves':
l1, = plt.plot(t, y1, label='$y=f_1(t)$')
l2, = plt.plot(t, y2, label='$y=f_2(t)$')
arts = [l1, l2]
elif ptype == 'composition':
l3, = plt.plot(t, y, label='$Composition$', color= 'm')
arts = [l3]
return arts ## return the artists created by `plt.plot()`
my_lines = [] ## array to keep track of the Line2D artists
fig = plt.figure(1)
plt.subplot(211)
l = create_plot('waves')
my_lines += l ## add artists to array
plt.legend()
plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))
#plt.xlabel('$x$')
plt.ylabel('$y$')
plt.title(title)
plt.subplot(212)
l = create_plot('composition')
my_lines += l
plt.legend()
plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))
plt.xlabel('$t$')
plt.ylabel('$y$')
# Tweak spacing between subplots to prevent labels from overlapping
plt.subplots_adjust(hspace=0.5)
print(my_lines)
def animate(i):
## in this examples, i takes values 0-10 by steps of 0.01 (the frames in the animation call)
## and will represent the frequency of the 2nd wave in the top subplot
y1 = f(t,1,1,1)
y2 = f(t,2,i,2)
y = y1 + y2
# update the content of the Line2D objects
my_lines[1].set_ydata(y2)
my_lines[2].set_ydata(y)
return my_lines ## return updated artists
ani = animation.FuncAnimation(fig, animate, frames=np.linspace(0,10,100))
plt.show()
关于python - 如何为子图中的人物设置动画？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/52158890/