我正在嘗試保存 3d 散點(diǎn)圖動(dòng)畫，其中點(diǎn)一次出現(xiàn)一個(gè)。我使動(dòng)畫正常工作，但是當(dāng)我設(shè)置點(diǎn)的面顏色時(shí)，它們沒有生效并且所有點(diǎn)都顯示為藍(lán)色。當(dāng)我在靜態(tài)圖像上使用相同的顏色數(shù)組時(shí)，顏色效果很好。動(dòng)畫代碼：import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport matplotlib.animationimport randomimport seaborn as snsimport pandas as pdimport jsonimport osfrom matplotlib.animation import FuncAnimationimport mpl_toolkits.mplot3d.axes3d as p3from matplotlib import rcfrom IPython.display import HTMLfrom itertools import productx=[]y=[]for i in range(-80, 80, 10):    x.append(i)    y.append(i)combs = list(product(x,y))def obj(x, y):    global HISTORY    e = 2.718    res = 7*x*y/(e**(0.001*x**2 + 0.001*y**2))    return resz = [obj(x,y) for x, y in combs]x = [obj[0] for obj in combs]y = [obj[1] for obj in combs]data = [[x[i],y[i],z[i]] for i in range(len(x))]cmap = sns.cubehelix_palette(as_cmap=True)m = max(z) # Get the worst score so we can use it as the darkest area of the plot.face_colors = np.array([cmap(i/m) for i in z]) # Map all of the values with cmap colors. df = pd.DataFrame(data, columns=["x","y","z"])fig = plt.figure()ax = fig.add_subplot(111,projection='3d')sc = ax.scatter([],[],[], alpha=0.5)def update(i):    sc._offsets3d = (df.x.values[:i], df.y.values[:i], df.z.values[:i])    sc._facecolors3d = face_colors[:i]    sc._facecolors2d=sc._facecolors3dax.set_xlabel('X')ax.set_ylabel('Y')ax.set_zlabel('Z')ax.set_xlim(min(x),max(x))ax.set_ylim(min(y),max(y))ax.set_zlim(min(z),max(z))ani = matplotlib.animation.FuncAnimation(fig, update, frames=len(df), interval=70)HTML(ani.to_html5_video())當(dāng)我不使用動(dòng)畫而只調(diào)用 plt.scatter 時(shí)，如下所示：sc = ax.scatter(df.x.values,df.y.values,df.z.values, facecolors=face_colors)我的圖像效果很好：如何在動(dòng)畫中保留這些顏色？