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    <p>Remove <code>blit=True</code> from <code>FuncAnimation</code> and <code>animated=True</code> from <code>scatter</code> and it works. I suspect that there is something going wrong with the logic that makes sure only the artists that need to be updated are updated/redrawn between frames (rather than just re-drawing everything).</p> <p>Below is exactly what I ran and I got the expected output movie:</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, 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) 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) self.scat._offsets3d = ( np.ma.ravel(data[:,0]) , np.ma.ravel(data[:,1]) , np.ma.ravel(data[:,2]) ) return self.scat, def show(self): plt.show() if __name__ == '__main__': a = AnimatedScatter() a.ani.save("movie.avi", codec='avi') a.show() </code></pre>
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    1. POSaving scatterplot animations with matplotlib
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    1. COThat did the trick! And my actual project worked with that fix. Thanks!
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    2. COIt's interesting that removing `blit` helps, considering the animation.save code sets `blit` to false when calling `_draw_next_frame`. I'll add full bug reports (or at least wishlist requests) to matplotlib's site when I get the chance.
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    3. COWith SciPy 0.12.0, Numpy 1.7.1, and Matplotlib 1.2.1 I could not make it work. It at best would create a video with a ton of old points plotted overwritten by the new points or a blank plot. You are welcome to try the code that is linked on my video: https://www.youtube.com/watch?v=dCIOOjJ1Sk0 I finally used CamStudio and it worked better and had higher quality video output.
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