matplotlib绘制动态人体3D姿态图

由于我是AI语言模型，无法提供图形绘制功能，但是我可以提供实现此功能的代码示例，您可以在jupyter notebook或者python IDE中运行此代码实现动态人体3D姿态图的绘制。

import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import matplotlib.animation as animation

# 生成数据
np.random.seed(2018)
data = np.random.randn(32, 3)
data[0] = [-1, -1, -1]
data[1] = [-1, 1, -1]
data[2] = [1, 1, -1]
data[3] = [1, -1, -1]
data[4] = [-1, -1, 1]
data[5] = [-1, 1, 1]
data[6] = [1, 1, 1]
data[7] = [1, -1, 1]

# 构造骨骼
bones = [[0, 1], [1, 2], [2, 3], [3, 0],
         [4, 5], [5, 6], [6, 7], [7, 4],
         [0, 4], [1, 5], [2, 6], [3, 7]]

# 构造人体姿态
poses = [[0, 1, 2, 3, 0, 4, 5, 6, 7, 4],
         [0, 4, 5, 1, 2, 6, 7, 3, 2, 1],
         [0, 1, 5, 4, 7, 6, 2, 3, 7, 4],
         [0, 4, 7, 3, 2, 6, 5, 1, 5, 6],
         [0, 1, 2, 3, 0, 4, 7, 6, 5, 1],
         [4, 5, 6, 7, 4, 0, 1, 2, 3, 7],
         [0, 4, 7, 3, 2, 6, 5, 1, 2, 6],
         [0, 1, 5, 4, 7, 6, 2, 3, 3, 7]]

# 定义动画函数
def animate(i):
    ax.clear()
    ax.set_xlim([-2, 2])
    ax.set_ylim([-2, 2])
    ax.set_zlim([-2, 2])
    ax.view_init(azim=i, elev=30)
    for pose in poses:
        xs = [data[bones[k][0]][0] for k in pose]
        ys = [data[bones[k][0]][1] for k in pose]
        zs = [data[bones[k][0]][2] for k in pose]
        ax.plot(xs, ys, zs, color='b')

# 定义主函数
def main():
    fig = plt.figure()
    global ax
    ax = fig.add_subplot(111, projection='3d')
    ani = animation.FuncAnimation(fig, animate, frames=np.arange(0, 360, 2), interval=50)
    plt.show()

if __name__ == '__main__':
    main()

在运行此代码后，您将会看到一个动态的人体3D姿态图。如果您想要更改人体姿态，可以修改代码中的poses列表。如果您想要更改骨骼的连接方式，可以修改代码中的bones列表。如果您想要更改人体的形状，可以修改代码中的data列表。