[Matplotlib-users] Convolution integral export as animation

[Thomas Caswell]

Erdem,

I do not understand your question.  If I run that code I do get an mp4 file
of the animation.

Tom


On Sat, May 18, 2019 at 6:05 PM Erdem <farukerdemoncel at gmail.com> wrote:

> This example is taken from a tutorial
> <https://dspillustrations.com/pages/posts/misc/convolution-examples-and-the-convolution-integral.html> related
> to convolution integral.
>
> I would like to export this example as animation in mp4 format. So far,
> the code looks like this :
>
> import scipy.integrateimport numpy as npimport matplotlib.pyplot as pltimport matplotlib.animation as animation
> def showConvolution(t0,f1, f2):
>     # Calculate the overall convolution result using Simpson integration
>     convolution = np.zeros(len(t))
>     for n, t_ in enumerate(t):
>         prod = lambda tau: f1(tau) * f2(t_-tau)
>         convolution[n] = scipy.integrate.simps(prod(t), t)
>
>     # Create the shifted and flipped function
>     f_shift = lambda t: f2(t0-t)
>     prod = lambda tau: f1(tau) * f2(t0-tau)
>
>     # Plot the curves
>     plt.gcf().clear() # il
>
>     plt.subplot(211)
>     plt.gca().set_ymargin(0.05) # il
>     plt.plot(t, f1(t), label=r'$f_1(\tau)$')
>     plt.plot(t, f_shift(t), label=r'$f_2(t_0-\tau)$')
>     plt.fill(t, prod(t), color='r', alpha=0.5, edgecolor='black', hatch='//') # il
>     plt.plot(t, prod(t), 'r-', label=r'$f_1(\tau)f_2(t_0-\tau)$')
>     plt.grid(True); plt.xlabel(r'$\tau$'); plt.ylabel(r'$x(\tau)$') # il
>     plt.legend(fontsize=10) # il
>     plt.text(-4, 0.6, '$t_0=%.2f$' % t0, bbox=dict(fc='white')) # il
>
>     # plot the convolution curve
>     plt.subplot(212)
>     plt.gca().set_ymargin(0.05) # il
>     plt.plot(t, convolution, label='$(f_1*f_2)(t)$')
>
>     # recalculate the value of the convolution integral at the current time-shift t0
>     current_value = scipy.integrate.simps(prod(t), t)
>     plt.plot(t0, current_value, 'ro')  # plot the point
>     plt.grid(True); plt.xlabel('$t$'); plt.ylabel('$(f_1*f_2)(t)$') # il
>     plt.legend(fontsize=10) # il
>     plt.show() # il
> Fs = 50  # our sampling frequency for the plotting
> T = 5    # the time range we are interested in
> t = np.arange(-T, T, 1/Fs)  # the time samples
> f1 = lambda t: np.maximum(0, 1-abs(t))
> f2 = lambda t: (t>0) * np.exp(-2*t)
>
> t0 = np.arange(-2.0,2.0, 0.05)
>
> fig = plt.figure(figsize=(8,3))
> anim = animation.FuncAnimation(fig, showConvolution, frames=t0, fargs=(f1,f2),interval=80)
>
> anim.save('animation.mp4', fps=30) # fps = frames per second
>
> plt.show()
>
>
> When I run the program I see the output of see the output of convolution
> integral at t0 = -0.20.
>
> [image: convolution.png]
>
> Is there a way to change t0 so that I'd like to able to save it as
> animation as in the tutorial
> <https://dspillustrations.com/pages/posts/misc/convolution-examples-and-the-convolution-integral.html> In
> the example t0 decreases from -2.0 to -1.95 etc the green curve is shifted
> right, and the area between curves, product increases. In the tutorial
> there is an html animation and I would like to save as mp4 file.
>
> I've also added source code as an attachment.
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>


-- 
Thomas Caswell
tcaswell at gmail.com
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