"""A simple `FuncAnimation` example: figure() vs Figure() Performance"""importnumpyasnpimportmatplotlib.pyplotaspltimportmatplotlib.animationasanimationfromtqdm.autoimporttqdmimporttimeplt.style.use("ggplot")# set plot stylefig,ax=plt.subplots()# this creates a figure() instancex=np.arange(0,2*np.pi,0.01)line,=ax.plot(x,np.sin(x))defanimate(i):line.set_ydata(np.sin(x+i/10.0))# update the datareturnline,# Init only required for blitting to give a clean slate.definit():line.set_ydata(np.ma.array(x,mask=True))returnline,# Run #1now=time.time()ani_f=animation.FuncAnimation(fig,animate,tqdm(np.arange(200),initial=1),init_func=init,interval=25,blit=True)plt.close()ani_f.save("ani_f.mp4")end=time.time()print(f"Run #1: `FuncAnimation` took{(end-now):.3f}s with `figure()`")# Run #2fig=plt.Figure()# this creates a Figure() instanceax=fig.add_subplot()now=time.time()ani_F=animation.FuncAnimation(fig,animate,tqdm(np.arange(200),initial=1),init_func=init,interval=25,blit=True)plt.close()ani_F.save("ani_F.mp4")end=time.time()print(f"Run #2: `FuncAnimation` took{(end-now):.3f}s with `Figure()`")