使用mpl_toolkits.mplot3d在Python Numpy中使用vstack实现for循环的更快方法

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

data = np.empty((0, 3))

for i in range(10):
    x = np.random.rand()
    y = np.random.rand()
    z = np.random.rand()
    point = np.array([[x, y, z]])
    data = np.vstack((data, point))

print(data)

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(data[:, 0], data[:, 1], data[:, 2])
plt.show()