Data Science in Python. Volume 3: Plots and Charts with Matplotlib, Data Analysis with Python and SQLite by Alexander Stepanov

Author:Alexander Stepanov [Stepanov, Alexander]
Language: eng
Format: azw3
Published: 2016-04-25T04:00:00+00:00

fig=plt.figure(figsize=(12,6), facecolor='1.0')

ax=plt.subplot(111)

plt.axis([0,20,0,1])

Then, we do plotting with no data points, but keep the returned list of Line2D objects in variable lines.

lines=plt.plot(Y[0:0])

Function update(frame) will update the first (and only) plot line by adding a new point every frame. The return value tells the caller what lines need to be updated.

def update(frame):

lines[0].set_xdata(X[:frame])

lines[0].set_ydata(Y[:frame])

return lines

The FuncAnimation object from the modulematplotlib.animation will drive the animation by calling the update function.

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