[Matplotlib-users] Unable to keep multiples animations in a figure

[Benjamin Root]

Vincent,

I am away from my computer for the week, so my help will be limited. In my
book, Interactive Applications using Matplotlib, I devote chapter 3 to the
animation module. While I don't outline how one can do what you are asking
for, I do detail how animations are triggered and controlled
under-the-hood. Perhaps it can provide some inspirations?

Ben Root


On Dec 24, 2016 3:12 AM, "Vincent FRATICELLI" <v.fraticelli at wanadoo.fr>
wrote:

> Hi (and sorry for my poor english),
>
>
>
> I am a French Physics teacher, beginning with Python.
>
>
>
> I would like to plot animations of magnetic field lines. In the future, my
> aim would be to control each animation with the mouse button. The plot
> would began at the first click and stop at the next one.
>
> For now, I simply try to plot two successives animations of field lines
> using funcAnimation. My problem is that the first animation is cleared when
> the second is plotted. How could I keep all in the figure ?
>
> If anyone could help ?
>
> Best regards, Vincent.
>
>
>
> Codes :
>
> Unable to find the solution, I have removed all the loops in the script
> and simply made a crude copy of the first part of the script to repeat the
> animation. But even this don't work !
>
> ************************************************************
> ****************
>
> import numpy as np
>
> from matplotlib import pyplot as plt
>
> from matplotlib import animation
>
> from scipy.integrate import odeint
>
>
>
> """Ce script anime progressivement une ligne de champ à partir d'un point
> indiqué"""
>
>
>
> fig = plt.figure()
>
> ax = plt.axes(xlim=(-1,1), ylim=(-1, 1))
>
>
>
> L=np.linspace(0,1,100)
>
> plt.plot(L,L)
>
>
>
> y0=(0.2,0.1)
>
> line, = ax.plot([], [], lw=2)
>
>
>
> def animate(i):
>
>     def F(y,t):
>
>         dy=[0,0]
>
>         dy[0]=y[1]
>
>         dy[1]=-y[0]
>
>         return dy
>
>
>
>     t_min=0;t_max=10;dt=0.1
>
>     t = np.arange(t_min,i*t_max/20,dt)
>
>     y=odeint(F,y0,t)
>
>     line.set_data(y[:,0],y[:,1])
>
>     return line,
>
>
>
> anim = animation.FuncAnimation(fig, animate,frames=10,repeat=0)
>
>
>
> # Bloc suivant identique au premier avec y0 différent
>
> # Son exécution efface la première ligne
>
>
>
> """y0=(0.8,0.1)
>
> line2, = ax.plot([], [], lw=2)
>
> def animate2(i):
>
>     def F(y,t):
>
>         dy=[0,0]
>
>         dy[0]=y[1]
>
>         dy[1]=-y[0]
>
>         return dy
>
>
>
>     t_min=0;t_max=10;dt=0.1
>
>     t = np.arange(t_min,i*t_max/20,dt)
>
>     y=odeint(F,y0,t)
>
>     line2.set_data(y[:,0],y[:,1])
>
>     return line2,
>
>
>
> anim2 = (animation.FuncAnimation(fig, animate2,frames=10,repeat=0))
>
> """
>
> plt.show()
>
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