importmatplotlib.pyplotaspltimportnumpyasnpx=np.linspace(0,2*np.pi,100)fig,ax=plt.subplots()# animated=True tells matplotlib to only draw the artist when we# explicitly request it(ln,)=ax.plot(x,np.sin(x),animated=True)# make sure the window is raised, but the script keeps goingplt.show(block=False)# stop to admire our empty window axes and ensure it is rendered at# least once.## We need to fully draw the figure at its final size on the screen# before we continue on so that :#  a) we have the correctly sized and drawn background to grab#  b) we have a cached renderer so that ``ax.draw_artist`` works# so we spin the event loop to let the backend process any pending operationsplt.pause(0.1)# get copy of entire figure (everything inside fig.bbox) sans animated artistbg=fig.canvas.copy_from_bbox(fig.bbox)# draw the animated artist, this uses a cached rendererax.draw_artist(ln)# show the result to the screen, this pushes the updated RGBA buffer from the# renderer to the GUI framework so you can see itfig.canvas.blit(fig.bbox)forjinrange(100):# reset the background back in the canvas state, screen unchangedfig.canvas.restore_region(bg)# update the artist, neither the canvas state nor the screen have changedln.set_ydata(np.sin(x+ (j/100)*np.pi))# re-render the artist, updating the canvas state, but not the screenax.draw_artist(ln)# copy the image to the GUI state, but screen might not changed yetfig.canvas.blit(fig.bbox)# flush any pending GUI events, re-painting the screen if neededfig.canvas.flush_events()# you can put a pause in if you want to slow things down# plt.pause(.1)