python 3D散点图

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于 2024-02-21 11:15:58 发布 · 528 阅读

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#python #开发语言

本文展示了如何在Python中使用Matplotlib库的mplot3d工具包创建一个3D散点图，通过numpy生成数据并添加标题和图例。

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

#解决中文乱码和负号不显示问题
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] =False
fig = plt.figure()
ax = plt.axes(projection='3d')

#构造3个散点向量

x1=[[-0.0221,-0.0543,-0.0525],
 [0.0268,-0.0475,-0.04],
 [0.0733,-0.0537,-0.0142],
 [0.0645,0.0333,0.0796],
 [0.0063,0.0067,0.0573],
 [0.049,-0.055,0.0439],
 [-0.0443,-0.0177,0.0707]]
x2=[[-9.95538197e-03 ,-6.80566940e-04 ,-3.88511945e-03],
 [-3.16788722e-03 ,-2.95998948e-03 , 2.08909181e-03],
 [ 6.32466376e-02 ,-1.31060611e-02 , 3.58115090e-03],
 [-1.45574491e-02, -5.22264512e-03 ,-4.00055340e-03],
 [-1.05448766e-02 , 3.62097926e-05, -1.25675567e-03],
 [ 4.52933321e-03 ,-3.12502217e-03 , 4.04007733e-03],
 [-1.10306684e-02,  3.10038822e-03 , 1.03393774e-02],
 [-8.50945991e-03 , 1.84351373e-02  ,2.85878927e-02]]
x3=[[ 0.00024847,  0.00895313 , 0.00876404],
 [-0.02710083 , 0.03087348 ,-0.02424021],
 [-0.0156