第三十章 3D 散点图

原文:3D Scatter Plot with Matplotlib

译者:飞龙

协议:CC BY-NC-SA 4.0

欢迎阅读另一个 3D Matplotlib 教程,会涉及如何绘制三维散点图。

绘制 3D 散点图非常类似于通常的散点图以及 3D 线框图。

一个简单示例:

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import style

style.use('ggplot')

fig = plt.figure()
ax1 = fig.add_subplot(111, projection='3d')

x = [1,2,3,4,5,6,7,8,9,10]
y = [5,6,7,8,2,5,6,3,7,2]
z = [1,2,6,3,2,7,3,3,7,2]

x2 = [-1,-2,-3,-4,-5,-6,-7,-8,-9,-10]
y2 = [-5,-6,-7,-8,-2,-5,-6,-3,-7,-2]
z2 = [1,2,6,3,2,7,3,3,7,2]

ax1.scatter(x, y, z, c='g', marker='o')
ax1.scatter(x2, y2, z2, c ='r', marker='o')

ax1.set_xlabel('x axis')
ax1.set_ylabel('y axis')
ax1.set_zlabel('z axis')

plt.show()

结果为:

要记住你可以修改这些绘图的大小和标记,就像通常的散点图那样。

powered by Gitbook 该教程制作时间: 2017-01-15 12:06:05