In [1]:

    

#http://louistiao.me/posts/notebooks/embedding-matplotlib-animations-in-jupyter-notebooks/
%matplotlib inline


    

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import numpy as np
import matplotlib
import matplotlib.pyplot as plt

from matplotlib import animation, rc
from IPython.display import HTML, Image

import matplotlib.animation as animation
print(animation.writers.list())

matplotlib.rcParams['animation.writer'] = 'avconv'


    

    




['avconv_file', 'imagemagick', 'imagemagick_file', 'avconv']

In [4]:

    

# 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))

line, = ax.plot([], [], lw=2)


    

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# initialization function: plot the background of each frame
def init():
    line.set_data([], [])
    return (line,)


    

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# animation function. This is called sequentially
def 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,)


    

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# 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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HTML(anim.to_html5_video())


    

    
Out[8]:

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anim._repr_html_() is None


    

    
Out[9]:





True

In [10]:

    

anim


    

    
Out[10]:





<matplotlib.animation.FuncAnimation at 0x7fa511a44a90>

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# equivalent to rcParams['animation.html'] = 'html5'
rc('animation', html='html5')


    

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anim


    

    
Out[12]:

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anim.save('animation.gif', writer='imagemagick', fps=60)


    

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Image(url='animation.gif')


    

    
Out[18]:

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