在Matplotlib中使用scatter()在3D散点图中添加图例

我想创建一个3D散点图，在同一图中使用不同的数据集，并在其标签中添加图例.我面临的问题是我无法正确添加图例，并且得到了带有空标签的图，如下图所示:

I want to create a 3D scatterplot with different datasets in the same plot and a legend with their labels. The problem I am facing is that I cannot properly add the legend and I get a plot with an empty label as the figure in:

http://tinypic.com/view.php?pic = 4jnm83& s = 5#.Uqd-05GP-gQ .

更具体地说，我得到了错误:

More specifically, I get the error:

/usr/lib/pymodules/python2.7/matplotlib/legend.py:610: UserWarning: Legend does not support <mpl_toolkits.mplot3d.art3d.Patch3DCollection object at 0x3bf46d0>
Use proxy artist instead."

请在下面找到我到目前为止尝试过的示例演示:

Please find below an example demo of what I have tried so far:

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import random
import csv
from os import listdir
from os.path import isfile, join

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

handles = []
colors = ['blue', 'red']

X1 = range(0,10)
Y1 = range(0,10)
Z1 = range(0,10)

random.shuffle(X1)
random.shuffle(Y1)
random.shuffle(Z1)

scatter1 = ax.scatter(X1, Y1, Z1, c = colors[0], marker = 'o')

random.shuffle(X1)
random.shuffle(Y1)
random.shuffle(Z1)

scatter2 = ax.scatter(X1, Y1, Z1, c = colors[1], marker = 'v')

ax.set_xlabel('X', fontsize = 10)
ax.set_ylabel('Y', fontsize = 10)
ax.set_zlabel('Z', fontsize = 10)

ax.legend([scatter1, scatter2], ['label1', 'label2'])

plt.show()

我看过其他大致相似的示例，但是没有一个使用scatter()图.除了可行的解决方案之外，有人可以解释我在做什么错吗?

I have seen other roughly similar examples but none of them uses the scatter() plot. Apart from a working solution, can someone explain what am I doing wrong?