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POSaving scatterplot animations with matplotlib
 

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  1. POSaving scatterplot animations with matplotlib
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    <p>I've been trying to save an animated scatterplot with matplotlib, and I would prefer that it didn't require totally different code for viewing as an animated figure and for saving a copy. The figure shows all the datapoints perfectly after the save completes.</p> <p>This code is a modified version of <a href="https://stackoverflow.com/a/12741231/786020">Giggi's</a> on <a href="https://stackoverflow.com/questions/11376898/animating-3d-scatterplot-in-matplotlib">Animating 3d scatterplot in matplotlib</a>, with a fix for the colors from <a href="https://stackoverflow.com/a/8974087/786020">Yann's answer</a> on <a href="https://stackoverflow.com/questions/8971309/matplotlib-3d-scatter-color-lost-after-redraw">Matplotlib 3D scatter color lost after redraw</a> (because colors will be important on my video, so I want to make sure they work).</p> <pre><code>import matplotlib.pyplot as plt import matplotlib.animation as animation import numpy as np from mpl_toolkits.mplot3d import Axes3D FLOOR = -10 CEILING = 10 class AnimatedScatter(object): def __init__(self, numpoints=5): self.numpoints = numpoints self.stream = self.data_stream() self.angle = 0 self.fig = plt.figure() self.fig.canvas.mpl_connect('draw_event',self.forceUpdate) self.ax = self.fig.add_subplot(111,projection = '3d') self.ani = animation.FuncAnimation(self.fig, self.update, interval=100, init_func=self.setup_plot, blit=True,frames=20) def change_angle(self): self.angle = (self.angle + 1)%360 def forceUpdate(self, event): self.scat.changed() def setup_plot(self): X = next(self.stream) c = ['b', 'r', 'g', 'y', 'm'] self.scat = self.ax.scatter(X[:,0], X[:,1], X[:,2] , c=c, s=200, animated=True) self.ax.set_xlim3d(FLOOR, CEILING) self.ax.set_ylim3d(FLOOR, CEILING) self.ax.set_zlim3d(FLOOR, CEILING) return self.scat, def data_stream(self): data = np.zeros(( self.numpoints , 3 )) xyz = data[:,:3] while True: xyz += 2 * (np.random.random(( self.numpoints,3)) - 0.5) yield data def update(self, i): data = next(self.stream) #data = np.transpose(data) self.scat._offsets3d = ( np.ma.ravel(data[:,0]) , np.ma.ravel(data[:,1]) , np.ma.ravel(data[:,2]) ) plt.draw() return self.scat, def show(self): plt.show() if __name__ == '__main__': a = AnimatedScatter() a.ani.save("movie.avi", codec='avi') a.show() </code></pre> <p>A perfectly valid .avi is generated by this, but it's blank for all of the four seconds except for the axes. The actual figure always shows exactly what I want to see. How can I populate the save function's plots the same way I populate a normally running animation, or is it possible in matplotlib?</p> <p><strong>EDIT:</strong> Using a scatter call in the update (without setting the bounds as in the initializer) causes the .avi to show the axes growing, showing that the data is being run each time, it's just not showing on the video itself. I am using matplotlib 1.1.1rc with Python 2.7.3.</p>
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    1. COcan you fix your indentation?
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    2. COWhoops. I should be more careful copying and pasting. Although my source has spaces instead of tabs, so I don't quite know what happened.
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    3. COand this looks ok if you watch it in a figure? What version of MPL are you using?
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