【发布时间】:2021-04-18 13:27:57
【问题描述】:
我尝试绘制一个代表环形的 3d 实体。我使用了 scipy 模块和 Delaunay 来进行计算。 不幸的是,该图显示了一个 3d 圆柱体,而不是一个环形空间。有人知道如何修改代码吗? scipy 是正确的模块吗?我可以使用带矩形形状的 Delaunay 吗? 提前致谢!
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from scipy.spatial import Delaunay
points = 50
theta = np.linspace(0,2*np.pi,points)
radius_middle = 7.5
radius_inner = 7
radius_outer = 8
x_m_cartesian = radius_middle * np.cos(theta)
y_m_cartesian = radius_middle * np.sin(theta)
z_m_cartesian = np.zeros(points)
M_m = np.c_[x_m_cartesian,y_m_cartesian,z_m_cartesian]
x_i_cartesian = radius_inner * np.cos(theta)
y_i_cartesian = radius_inner * np.sin(theta)
z_i_cartesian = np.zeros(points)
M_i = np.c_[x_i_cartesian,y_i_cartesian,z_i_cartesian]
x1_m_cartesian = radius_middle * np.cos(theta)
y1_m_cartesian = radius_middle * np.sin(theta)
z1_m_cartesian = np.ones(points)
M1_m = np.c_[x1_m_cartesian,y1_m_cartesian,z1_m_cartesian]
x2_i_cartesian = radius_inner * np.cos(theta)
y2_i_cartesian = radius_inner * np.sin(theta)
z2_i_cartesian = np.ones(points)
M2_i = np.c_[x2_i_cartesian,y2_i_cartesian,z2_i_cartesian]
M = np.vstack((M_m,M_i,M1_m,M2_i))
# Delaunay
CH = Delaunay(M).convex_hull
x,y,z = M[:,0],M[:,1],M[:,2]
fig = plt.figure(figsize=(12,8))
ax = fig.add_subplot(111,projection='3d')
#ax.scatter(x[:,0],y[:,1],z[:,2])
ax.plot_trisurf(x,y,z,triangles=CH, shade=False, color='lightblue',lw=1, edgecolor='k')
plt.show()
【问题讨论】:
-
点环的
convex_hull是整个磁盘,而不是环。可能有一种“减去”内盘的方法,但基本的凸形状没有孔。 -
感谢您的反馈。您能否提出其他工具/模块来创建环。 conve_hull 不能减去内环...
标签: scipy python-3.6 delaunay