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

data = [np.random.random_sample((300, 3)) for _ in range(10)]
x, y, z = data[0][:, 0], data[0][:, 1], data[0][:, 2]


def update_pov(num):
    ax.view_init(elev=10., azim=num % 360)
    
    return graph,


fig = plt.figure(figsize=(5, 5))
ax = fig.add_subplot(111, projection="3d")
graph = ax.scatter(x, y, z, color='orange')

ax.set_xlim3d(0, 1)
ax.set_ylim3d(0, 1)
ax.set_zlim3d(0, 1)

ani = animation.FuncAnimation(fig, update_pov, frames=200, interval=50, blit=False)
plt.show()