We can use html5 for animation, as suggested in this web page: http://louistiao.me/posts/notebooks/embedding-matplotlib-animations-in-jupyter-notebooks/
This seems to be the modern way to do animation in Python.
First step is to initialize some things in Python.
we need %matplotlib inline to get things to plot right on the notebook
we need numpy for the math
se need matplotlib for plotting
we need animation from matplotlib, and HTML from iPython.display to show the animations
We get all these with the following imports:
%matplotlib inlineimport numpy as npimport matplotlib.pyplot as pltfrom matplotlib import animation, rcfrom IPython.display import HTML
We now have four steps to get an animated plot
set up the figure frame
define the initializing function
define the function that draws each frame of the animation
call the animator function, which creates all the frames and saves them for you
Then we are ready to call "HTML" to display the animation.
# First set up the figure, the axis, and the plot element we want to animatefig, ax = plt.subplots()ax.set_xlim(( 0, 2))ax.set_ylim((-2, 2))line, = ax.plot(, , lw=2)# NOTE: THIS WILL DISPLAY JUST AN EMPTY BOX.
# initialization function: plot the background of each framedef init():line.set_data(, )return (line,)
# animation function. This is called sequentiallydef animate(i):x = np.linspace(0, 2, 1000)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=100, interval=20, blit=True)
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Anytime you need the animation, you can call it up at will, with the following code:
# equivalent to rcParams['animation.html'] = 'html5'rc('animation', html='html5')