I am having a very similar problem to this question

but the suggested solution doesn't work for me.

I have set up an animated scatter plot using the matplotlib animation module. This works fine when it is displaying live. I would like to save it to an avi file or something similar. The code I have written to do this does not error out but the video it produces just shows a blank set of axes or a black screen. I've done several checks and the data is being run and figure updated it's just not getting saved to video...

I tried removing "animated=True" and "blit=True" as suggested in this question but that did not fix the problem.

I have placed the relevant code below but can provide more if necessary. Could anyone suggest what I should do to get this working?

def initAnimation(self):rs, cfgs = next(self.jumpingDataStreamIterator)     #self.scat = self.axAnimation.scatter(rs[0], rs[1], c=cfgs[0], marker='o')self.scat = self.axAnimation.scatter(rs[0], rs[1], c=cfgs[0], marker='o', animated=True)return self.scat,def updateAnimation(self, i):"""Update the scatter plot."""rs, cfgs = next(self.jumpingDataStreamIterator)# Set x and y data...self.scat.set_offsets(rs[:2,].transpose()) #self.scat = self.axAnimation.scatter(rs[0], rs[1], c=cfgs[0], animated=True)# Set sizes...#self.scat._sizes = 300 * abs(data[2])**1.5 + 100# Set colors..#self.scat.set_array(cfgs[0])# We need to return the updated artist for FuncAnimation to draw..# Note that it expects a sequence of artists, thus the trailing comma.matplotlib.pyplot.draw()return self.scat,def animate2d(self, steps=None, showEvery=50, size = 25):self.figAnimation, self.axAnimation = matplotlib.pyplot.subplots()self.axAnimation.set_aspect("equal")self.axAnimation.axis([-size, size, -size, size])self.jumpingDataStreamIterator = self.jumpingDataStream(showEvery)self.univeseAnimation = matplotlib.animation.FuncAnimation(self.figAnimation, self.updateAnimation, init_func=self.initAnimation,blit=True)matplotlib.pyplot.show()def animate2dVideo(self,fileName=None, steps=10000, showEvery=50, size=25):self.figAnimation, self.axAnimation = matplotlib.pyplot.subplots()self.axAnimation.set_aspect("equal")self.axAnimation.axis([-size, size, -size, size])self.Writer = matplotlib.animation.writers['ffmpeg']self.writer = self.Writer(fps=1, metadata=dict(artist='Universe Simulation'))self.jumpingDataStreamIterator = self.jumpingDataStream(showEvery)self.universeAnimation = matplotlib.animation.FuncAnimation(self.figAnimation, self.updateAnimation, scipy.arange(1, 25), init_func=self.initAnimation)self.universeAnimation.save('C:/universeAnimation.mp4', writer = self.writer)

Sorry for the delay. I have found a work around by simply saving lots of individual images and then calling ffmpeg to chain them together. This isn't ideal but gets the job done. (part of larger class)

def easyway(self, frames):##INSERT CODE TO GET xdata and ydata!for i in range(0, frames):fileName = "videoName"+"%04d.png" % imatplotlib.pyplot.scatter(xdata,ydata,c=coldata, marker='*',s=15.0, edgecolor='none')matplotlib.pyplot.savefig(self.workingDirectory+'temp/'+fileName, dpi=dpi)matplotlib.pyplot.close()   ##INSERT CODE TO UPDATE xdata and ydata!self.createVideoFile(fps)#calls FFMpeg to chain together all the picturesif cleanUp:#removes all the picture files created in the processprint "temporary picture files being removed..."self.clearDirectory()print "FINISHED"def clearDirectory(self,directoryName='temp'):files = glob.glob(self.workingDirectory+directoryName+"/*")for f in files:os.remove(f)def createVideoFile(self,fps=3):command="ffmpeg -f image2 -r %s -i %s%s" % (str(fps), self.workingDirectory+'temp/', self.universe.description)command+="%04d.png"command+=" -c:v libx264 -r 30 %s.mp4" % (self.workingDirectory+'videos/'+self.universe.description)print "Running command:"print commandp = subprocess.Popen(command, shell=True, stdout = subprocess.PIPE, stderr=subprocess.STDOUT)output = p.communicate()[0]print "output\n"+"*"*10+"\n"print outputprint "*"*10print "Video file has been written"