python绘制3d图形-pythonmatlibplot绘制3D图形本⽂实例为⼤家分享了python matlibplot绘制3D图形的具体代码，供⼤家参考，具体内容如下
1、散点图使⽤scatter
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from matplotlib import pyplot as plt
# ⽣成3D⽰例数据
mu_vec1 = np.array([0,0,0]) # 均值向量
cov_mat1 = np.array([[1,0,0],[0,1,0],[0,0,1]]) # 协⽅差矩阵
class1_sample = np.random.multivariate_normal(mu_vec1, cov_mat1, 20)
怎么做视频教程class2_sample = np.random.multivariate_normal(mu_vec1 + 1, cov_mat1, 20)
class3_sample = np.random.multivariate_normal(mu_vec1 + 2, cov_mat1, 20)
# class1_sample.shape -> (20, 3), 20 rows, 3 columns
fig = plt.figure(figsize=(8,8))
ax = fig.add_subplot(111, projection='3d')
ax.scatter(class1_sample[:,0], class1_sample[:,1], class1_sample[:,2],
marker='x', color='blue', s=40, label='class 1')界面设计实例100例
ax.scatter(class2_sample[:,0], class2_sample[:,1], class2_sample[:,2],
marker='o', color='green', s=40, label='class 2')
ax.scatter(class3_sample[:,0], class3_sample[:,1], class3_sample[:,2],
marker='^', color='red', s=40, label='class 3')
ax.set_xlabel('variable X')
ax.set_ylabel('variable Y')
计算机二级c题库有几套ax.set_zlabel('variable Z')
plt.title('3D Scatter Plot')
plt.show()
2、直线使⽤plot3D
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from itertools import product, combinations
fig = plt.figure(figsize=(7,7))
ax = a(projection='3d')在mysql中创建存储的语句
ax.set_aspect("equal")
# 画点
python代码画图案# ⽴⽅体⾥的点
X_inside = np.array([[0,0,0],[0.2,0.2,0.2],[0.1, -0.1, -0.3]])
cp2油泵
X_outside = np.array([[-1.2,0.3,-0.3],[0.8,-0.82,-0.9],[1, 0.6, -0.7], [0.8,0.7,0.2],[0.7,-0.8,-0.45],[-0.3, 0.6, 0.9],
[0.7,-0.6,-0.8]])
for row in X_inside:
ax.scatter(row[0], row[1], row[2], color="r", s=50, marker='^')
for row in X_outside:
ax.scatter(row[0], row[1], row[2], color="k", s=50)
# 画⽴⽅体
h = [-0.5, 0.5]
for s, e in combinations(np.array(list(product(h,h,h))), 2):
if np.sum(np.abs(s-e)) == h[1]-h[0]:
ax.plot3D(*zip(s,e), color="g")
ax.set_xlim(-1.5, 1.5)
ax.set_ylim(-1.5, 1.5)
ax.set_zlim(-1.5, 1.5)
plt.show()
以上就是本⽂的全部内容，希望对⼤家的学习有所帮助，也希望⼤家多多⽀持脚本之家。

版权声明：本站内容均来自互联网，仅供演示用，请勿用于商业和其他非法用途。如果侵犯了您的权益请与我们联系QQ:729038198，我们将在24小时内删除。