问题描述
给定一个使用 Matplotlib 显示的带有少量点的 2D 表面:
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
fig,ax = plt.subplots(subplot_kw={"projection": "3d"})
x = np.arange(0,4,1)
y = np.arange(0,1)
x,y = np.meshgrid(x,y)
z = np.array([
[0,1,0],[1,2,1],3,[0,0]])
surf = ax.plot_surface(x,y,z,cmap=cm.cool)
plt.show()
如何插入数据以使表面更平滑?理想情况下,我想使用样条插值(类似于 this example)。因此,我尝试使用 interpolate.bisplrep
from Scipy 但遇到了各种 TypeError: len(x)==len(y)==len(z) must hold
错误。如何准备数据?
解决方法
interpolate.bisplrep
要求使用 x,y
排列 meshgrid
边:
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
from scipy import interpolate
fig,ax = plt.subplots(subplot_kw={"projection": "3d"})
x = np.arange(0,4,1)
y = np.arange(0,1)
x,y = np.meshgrid(x,y)
z = np.array([
[0,1,0],[1,2,1],3,[0,0]])
# new grid is 40x40
xnew = np.linspace(0,num=40)
ynew = np.linspace(0,num=40)
tck = interpolate.bisplrep(x,y,z,s=0)
znew = interpolate.bisplev(xnew,ynew,tck)
xnew,ynew = np.meshgrid(xnew,ynew)
surf = ax.plot_surface(xnew,znew,cmap=cm.cool)
plt.show()