使用Matplotlib绘制3D散点动画

需要用python生成gif，网上很多例子都是二维散点实时动图，看了官网的例子，matplotlib.animation，直接用二维的来修改发现输出的图最终是空白的，最后终于找到问题所在set_data和set_offsets不能在3D中工作！！！（http://www.aiisen.com/p/1172240.html）

参考：https://www.liangzl.com/get-article-detail-1342.html

最终实现：更新实时数据，并用不同颜色标识

from matplotlib import pyplot as plt
import numpy as np
from matplotlib import animation

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, projection='3d')

# create the parametric curve
x = np.random.random(100)
y = np.random.random(100)
z = np.random.random(100)

# create the first plot
point, = ax.plot([], [], [], 'r.')
point2, =ax.plot([], [], [], '.')
# line, = ax.plot(x, y, z, label='parametric curve')
# ax.legend()
ax.set_xlim([0, 1])
ax.set_ylim([0, 1])
ax.set_zlim([0, 1])

# second option - move the point position at every frame
def update_point(n, x, y, z, point):
    point2.set_data([x[0:n], y[0:n]])
    point2.set_3d_properties(z[0:n], 'z')
    point.set_data([x[n], y[n]])
    point.set_3d_properties(z[n], 'z')
    # point.set_array([255,0,0])
    return point

ani=animation.FuncAnimation(fig, update_point, 99, fargs=(x, y, z, point))
ani.save('test5.gif',writer='pillow')
plt.show()