所以我正在学习 python,目前我正在制作事物的 3D 图。为了让事情变得有趣,我想绘制 Klein Bottle 的情节,但不知何故它根本不起作用。我尝试了两个表面参数化(一个在 Wolfram 上,一个在随机网站上)都给出了一个圆环形状的图形。
所以我想知道我的代码是否有误。任何人都可以看看并告诉我我做的是否正确(如果你碰巧知道克莱因瓶的参数化,那么也欢迎 :P)
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
def surf(u, v):
X = (3+(1+np.sin(v)) + 2*(1 - np.cos(v)/2)*np.cos(u))*np.cos(v)
Y = (4+2*(1 - np.cos(v)/2) * np.cos(u))*np.sin(v)
Z = -2*(1-np.cos(v)/2)*np.sin(u)
return X,Y,Z
ux, vx = np.meshgrid(np.linspace(0, 2*np.pi, 20),
np.linspace(0, 2*np.pi, 20))
x,y,z = surf(ux, vx)
fig = plt.figure()
ax = fig.gca(projection="3d")
plot = ax.plot_surface(x,y,z, rstride=1, cstride=1, cmap=cm.jet,
linewidth=0, antialiased=False)
plt.show()
最佳答案
您的 Python 代码具有正确的形式,但看起来参数化可能存在一些错误。这是a different parametrization生产的克莱因瓶:
import mpl_toolkits.mplot3d.axes3d as axes3d
import matplotlib.pyplot as plt
import numpy as np
cos = np.cos
sin = np.sin
sqrt = np.sqrt
pi = np.pi
def surf(u, v):
"""
http://paulbourke.net/geometry/klein/
"""
half = (0 <= u) & (u < pi)
r = 4*(1 - cos(u)/2)
x = 6*cos(u)*(1 + sin(u)) + r*cos(v + pi)
x[half] = (
(6*cos(u)*(1 + sin(u)) + r*cos(u)*cos(v))[half])
y = 16 * sin(u)
y[half] = (16*sin(u) + r*sin(u)*cos(v))[half]
z = r * sin(v)
return x, y, z
u, v = np.linspace(0, 2*pi, 40), np.linspace(0, 2*pi, 40)
ux, vx = np.meshgrid(u,v)
x, y, z = surf(ux, vx)
fig = plt.figure()
ax = fig.gca(projection = '3d')
plot = ax.plot_surface(x, y, z, rstride = 1, cstride = 1, cmap = plt.get_cmap('jet'),
linewidth = 0, antialiased = False)
plt.show()
关于Python:克莱因瓶的 3D 图,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/12287946/