虽然我不确定如何使用来具体实现
ArtistAnimation，但使用还是
FuncAnimation很简单的。如果我对您的“原始”版本1进行了以下修改，则可以正常工作。
修改版本1
import numpy as npimport matplotlib.pyplot as pltimport matplotlib.animation as animationfrom mpl_toolkits.axes_grid1 import make_axes_locatablefig = plt.figure()ax = fig.add_subplot(111)# I like to position my colorbars this way, but you don't have todiv = make_axes_locatable(ax)cax = div.append_axes('right', '5%', '5%')def f(x, y): return np.exp(x) + np.sin(y)x = np.linspace(0, 1, 120)y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)frames = []for i in range(10): x += 1 curVals = f(x, y) frames.append(curVals)cv0 = frames[0]cf = ax.contourf(cv0, 200)cb = fig.colorbar(cf, cax=cax)tx = ax.set_title('frame 0')def animate(i): arr = frames[i] vmax = np.max(arr) vmin = np.min(arr) levels = np.linspace(vmin, vmax, 200, endpoint = True) cf = ax.contourf(arr, vmax=vmax, vmin=vmin, levels=levels) cax.cla() fig.colorbar(cf, cax=cax) tx.set_text('frame {0}'.format(i))ani = animation.FuncAnimation(fig, animate, frames=10)plt.show()主要区别在于，我在函数中执行关卡计算和轮廓绘制，而不是创建艺术家列表。由于您可以清除上一帧中的轴并在每帧中重做轴，因此色条起作用。
使用
contour或时
contourf，必须重做，因为您不能只是动态地更改数据。但是，当您绘制了许多轮廓线并且结果看起来很平滑时，我认为最好
imshow改用它-
这意味着您实际上可以只使用同一位艺术家并更改数据，并且颜色栏会自动更新。它也快得多！
更好的版本
import numpy as npimport matplotlib.pyplot as pltimport matplotlib.animation as animationfrom mpl_toolkits.axes_grid1 import make_axes_locatablefig = plt.figure()ax = fig.add_subplot(111)# I like to position my colorbars this way, but you don't have todiv = make_axes_locatable(ax)cax = div.append_axes('right', '5%', '5%')def f(x, y): return np.exp(x) + np.sin(y)x = np.linspace(0, 1, 120)y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)# This is now a list of arrays rather than a list of artistsframes = []for i in range(10): x += 1 curVals = f(x, y) frames.append(curVals)cv0 = frames[0]im = ax.imshow(cv0, origin='lower') # Here make an AxesImage rather than contourcb = fig.colorbar(im, cax=cax)tx = ax.set_title('frame 0')def animate(i): arr = frames[i] vmax = np.max(arr) vmin = np.min(arr) im.set_data(arr) im.set_clim(vmin, vmax) tx.set_text('frame {0}'.format(i)) # In this version you don't have to do anything to the colorbar, # it updates itself when the mappable it watches (im) changesani = animation.FuncAnimation(fig, animate, frames=10)plt.show()
