动画随机漫步3D [Python]

时间:2017-11-25 21:44:14

标签: python animation matplotlib

我正在编写一个函数,该函数可以在3D中对随机游走进行动画处理,但遗憾的是代码无法正常工作。情节在哪里,没有错误发生但没有任何反应。我使用%matplotlib tk
有我的代码:

import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.animation as animation

def path_generator(steps, step):
    path = np.empty((3, steps))
    for i in range(1, steps):
        x_ran, y_ran, z_ran = np.random.rand(3)
        sgnX = (x_ran - 0.5)/abs(x_ran - 0.5)
        sgnY = (y_ran - 0.5)/abs(y_ran - 0.5)
        sgnZ = (z_ran - 0.5)/abs(z_ran - 0.5)
        dis = np.array([step*sgnX, step*sgnY, step*sgnZ])
        path[:, i] = path[:, i - 1] + dis

    return path

def animate(i):
    global particles, trajectories
    for trajectory, particle in zip(trajectories, particles):

    trajectory.set_data(particle[0:2, :i])

    trajectory.set_3d_properties(particle[2, :i])  

return trajectories

def random_walk_3D_animated(n, traj = 1):

    fig = plt.figure()
    ax = p3.Axes3D(fig)

    particles = [path_generator(n, 1) for i in range(traj)]

    trajectories = [ax.plot(particle[0, 0:1], particle[1, 0:1], particle[2, 
                    0:1])[0] for particle in particles]

    ax.set_xlim3d([-100, 100])
    ax.set_ylim3d([-100, 100])
    ax.set_zlim3d([-100, 100])

    animacion = animation.FuncAnimation(fig, animate, 1000, interval=50, 
                                        blit=False)

    plt.show()

奇怪的是,当没有函数random_walk_3D_animated(n, traj = 1)并且给出值ntraj时,代码会起作用。有时代码不会从(0,0,0)开始随机游走。我想知道为什么。

1 个答案:

答案 0 :(得分:1)

  1. 起始位置将是emty数组的内容。这可能是任何值,因此它在这里并不真正有用。而是用零初始化path
  2. 您需要返回对动画的引用。从animation documentation:“[..]开始,保持对实例对象的引用至关重要。”
  3. 完整示例:

    import numpy as np
    import matplotlib.pyplot as plt
    import mpl_toolkits.mplot3d.axes3d as p3
    import matplotlib.animation as animation
    
    def path_generator(steps, step):
        path = np.zeros((3, steps))
        for i in range(1, steps):
            x_ran, y_ran, z_ran = np.random.rand(3)
            sgnX = (x_ran - 0.5)/abs(x_ran - 0.5)
            sgnY = (y_ran - 0.5)/abs(y_ran - 0.5)
            sgnZ = (z_ran - 0.5)/abs(z_ran - 0.5)
            dis = np.array([step*sgnX, step*sgnY, step*sgnZ])
            path[:, i] = path[:, i - 1] + dis
    
        return path
    
    def animate(i):
        global particles, trajectories
        for trajectory, particle in zip(trajectories, particles):
            trajectory.set_data(particle[0:2, :i])
            trajectory.set_3d_properties(particle[2, :i])  
    
    def random_walk_3D_animated(n, traj = 1):
        global particles, trajectories
        fig = plt.figure()
        ax = p3.Axes3D(fig)
    
        particles = [path_generator(n, 1) for i in range(traj)]
        trajectories = [ax.plot(particle[0, 0:1], particle[1, 0:1], particle[2, 
                        0:1])[0] for particle in particles]
        ax.set_xlim3d([-100, 100])
        ax.set_ylim3d([-100, 100])
        ax.set_zlim3d([-100, 100])
    
        animacion = animation.FuncAnimation(fig, animate, 1000, interval=50, 
                                            blit=False)
        return animacion
    
    ani = random_walk_3D_animated(100, traj = 1)
    plt.show()