6. Animations¶
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Matplotlib Tutorial: 6. Animations
Matplotlib 1.1 introduced the animation framework: the following will only work with this newest version. This is a backend-independent framework for creating animated plots, and is very powerful (for some interesting examples, see the blog posts here and here)
Here we'll just create a basic example of an animated sine wave.
Here it's vital that we don't use pylab inline mode, because the inline figures are static.
%pylab
from matplotlib import animation
There are a few different ways to call the animator. ArtistAnimation
animates
a list of artist elements, showing only one at a time. TimedAnimation
can be
subclassed to create very flexible animations. FuncAnimation
animates using
a user-defined function which updates the plot elements at each frame step. We'll
use FuncAnimation
below, because it makes very clear how the animations work.
# First set up the figure, the axis, and the plot element we want to animate
fig, ax = plt.subplots()
ax.set_xlim(0, 2)
ax.set_ylim(-2, 2)
x = np.linspace(0, 2, 1000)
y = np.zeros_like(x)
line, = ax.plot(x, y, lw=2)
# initialization function: plot the background of each frame
def init():
line.set_data([], [])
return line,
# animation function. This is called sequentially
def animate(i):
y = np.sin(2 * np.pi * (x - 0.01 * i))
line.set_data(x, y)
return line,
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True)
# save the animation as an mp4. This requires ffmpeg or mencoder to be
# installed. The codec argument ensure that the x264 codec is used, so that
# the video can be embedded in html5. You may need to adjust this for
# your system: for more information, see
# http://matplotlib.sourceforge.net/api/animation_api.html
#anim.save('basic_animation.mp4', fps=30, codec='libx264')
Exercise: Modify the above code to add a second wave which travels to the left rather than to the right.