散點圖Matplotlib 2D> 3D

Question

我有散射動畫這個工作代碼2D：

import matplotlib.pyplot as plt 
import matplotlib.animation as animation 
def _update_plot(i, fig, scat): 
    scat.set_offsets(([0, i], [50, i], [100, i])) 
    return scat, 
fig = plt.figure() 
x = [0, 50, 100] 
y = [0, 0, 0] 
ax = fig.add_subplot(111) 
ax.set_xlim([-50, 200]) 
ax.set_ylim([-50, 200]) 
scat = plt.scatter(x, y, c=x) 
scat.set_alpha(0.8) 
anim = animation.FuncAnimation(fig, _update_plot, fargs=(fig, scat), frames=100, interval=100) 
plt.show() 

我試圖把它轉換成3D與這一點，但它不會工作..

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


def _update_plot(i, fig, scat): 
    scat._offsets3d([0, 0, 0], [50, 0, 0], [100, 0, 0]) 

    return scat 

fig = plt.figure() 

x = [0, 50, 100] 
y = [0, 0, 0] 
z = [0, 0, 0] 

ax = fig.add_subplot(111, projection='3d') 

scat = ax.scatter(x, y, z) 

anim = animation.FuncAnimation(fig, _update_plot, fargs=(fig, scat), frames=100, interval=100) 

plt.show() 

燦有人請給我一個關於如何解決這個問題的建議？ 謝謝

Answer 1

_offsets3d是一個屬性，而不是一個方法。取而代之的

scat._offsets3d([0, 0, 0], [50, 0, 0], [100, 0, 0]) 

你需要(x,y,z)值的元組分配給它：

scat._offsets3d = ([0, 0, 0], [50, 0, 0], [100, 0, 0]) 

當然，這總是會產生所有100幀相同的情節。所以爲了看動畫像

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


def _update_plot(i, fig, scat): 
    scat._offsets3d = ([0, i, i], [50, i, 0], [100, 0, i]) 
    return scat 

fig = plt.figure() 

x = [0, 50, 100] 
y = [0, 0, 0] 
z = [0, 0, 0] 

ax = fig.add_subplot(111, projection='3d') 

scat = ax.scatter(x, y, z) 

ax.set_xlim(0,100) 
ax.set_ylim(0,100) 
ax.set_zlim(0,100) 

anim = animation.FuncAnimation(fig, _update_plot, fargs=(fig, scat), frames=100, interval=100) 

plt.show()