#! coding=utf-8import matplotlib.pyplot as pltimport matplotlib.animation as animationimport numpy as npimport types################################################################### Bug fix for Quad Contour set not having attribute 'set_visible'def setvisible(self,vis):    for c in self.collections: c.set_visible(vis)def setanimated(self,ani):    for c in self.collections: c.set_animated(ani)####################################################################fig = plt.figure()# Some 2D geo arrays to plot (time,lat,lon)data = np.random.random_sample((20,90,360))lat = range(len(data[0,:,0]))lon = range(len(data[0,0,:]))lons,lats = np.meshgrid(lon,lat)# ims is a list of lists, each row is a list of artists to draw in the# current frame; here we are animating three artists, the image and 2 # annotatons (title), in each frameims = []for i in range(len(data[:,0,0])):    t_step = int(i)    im = plt.contourf(lons,lats,data[i,:,:])    text = 'title=' + str(i)    te = plt.text(90,90,str(text))    an = plt.annotate(str(text), xy=(0.45, 1.05), xycoords='axes fraction')    #################################################################    ## Bug fix for Quad Contour set not having the attributes    ## 'set_visible' and 'set_animated'    # ** uncomment the following 2 lines to make the code work:**#   im.set_visible = types.MethodType(setvisible,im)#   im.set_animated = types.MethodType(setanimated,im)    im.axes = plt.gca()    im.figure = fig    ####################################################################    ims.append([im,te,an])#ani = animation.ArtistAnimation(fig, ims, interval=70,repeat_delay=1000, blit=False)ani = animation.ArtistAnimation(fig, ims)## For saving the animation we need ffmpeg binary:#FFwriter = animation.FFMpegWriter()#ani.save('basic_animation.mp4', writer = FFwriter)plt.show()