我有一组4D数据（3D点+ 1D值）。我们称之为X，Y，Z和C。我想从X，Y，Z点生成一个曲面，然后根据C值着色。
我想我问的问题和diffracteD在this问题中问的一样，但似乎没有人理解他在问什么，答案和评论也没有帮助。
我能够创建一个带有XYZ数据的曲面，遵循这个this答案，但曲面是根据Z值着色的，而不是我想要的C值。
另一方面，original answer到this的问题设法使用C值对表面进行着色，但在这种情况下，Z是X和Y的函数，而不是像我的情况那样是一个自由变量。
我的目标是在某种程度上合并这两件事，从XYZ数据创建一个曲面，并根据C语言着色
以下是我到目前为止所做的：
1.独立于XYZ但使用Z值着色的曲面：

import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib import cm

import numpy as np
from numpy.random import randn
from scipy import array, newaxis

# ======
## data:

DATA = np.array([
    [-0.807237702464, 0.904373229492, 111.428744443],
    [-0.802470821517, 0.832159465335, 98.572957317],
    [-0.801052795982, 0.744231916692, 86.485869328],
    [-0.802505546206, 0.642324228721, 75.279804677],
    [-0.804158144115, 0.52882485495, 65.112895758],
    [-0.806418040943, 0.405733109371, 56.1627277595],
    [-0.808515314192, 0.275100227689, 48.508994388],
    [-0.809879521648, 0.139140394575, 42.1027499025],
    [-0.810645106092, -7.48279012695e-06, 36.8668106345],
    [-0.810676720161, -0.139773175337, 32.714580273],
    [-0.811308686707, -0.277276065449, 29.5977405865],
    [-0.812331692291, -0.40975978382, 27.6210856615],
    [-0.816075037319, -0.535615685086, 27.2420699235],
    [-0.823691366944, -0.654350489595, 29.1823292975],
    [-0.836688691603, -0.765630198427, 34.2275056775],
    [-0.854984518665, -0.86845932028, 43.029581434],
    [-0.879261949054, -0.961799684483, 55.9594146815],
    [-0.740499820944, 0.901631050387, 97.0261463995],
    [-0.735011699497, 0.82881933383, 84.971061395],
    [-0.733021568161, 0.740454485354, 73.733621269],
    [-0.732821755233, 0.638770044767, 63.3815970475],
    [-0.733876941678, 0.525818698874, 54.0655910105],
    [-0.735055978521, 0.403303715698, 45.90859502],
    [-0.736448900325, 0.273425879041, 38.935709456],
    [-0.737556181137, 0.13826504904, 33.096106049],
    [-0.738278724065, -9.73058423274e-06, 28.359664343],
    [-0.738507612286, -0.138781586244, 24.627237837],
    [-0.738539663773, -0.275090412979, 21.857410904],
    [-0.739099040189, -0.406068448513, 20.1110519655],
    [-0.741152200369, -0.529726022182, 19.7019157715],
])

Xs = DATA[:,0]
Ys = DATA[:,1]
Zs = DATA[:,2]

# ======
## plot:

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

#cmap="hot" colours w.r.t. Z values

surf = ax.plot_trisurf(Xs, Ys, Zs, cmap="hot", linewidth=0)
fig.colorbar(surf)

ax.xaxis.set_major_locator(MaxNLocator(5))
ax.yaxis.set_major_locator(MaxNLocator(6))
ax.zaxis.set_major_locator(MaxNLocator(5))

fig.tight_layout()

plt.show()

1.表面着色为C值，但Z是X、Y的函数

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(projection='3d')

# as plot_surface needs 2D arrays as input
x = np.arange(10)
y = np.array(range(10,15))
# we make a meshgrid from the x,y data
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 + Y**2))

# data_value shall be represented by color
data_value = np.random.rand(len(y), len(x))
# map the data to rgba values from a colormap
colors = cm.ScalarMappable(cmap = "hot").to_rgba(data_value)

# plot_surface with points X,Y,Z and data_value as colors
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, facecolors=colors,
                       linewidth=0, antialiased=True)
fig.colorbar(surf)
plt.show()

有没有方法修改第一个代码，使其使用C值而不是Z值来着色表面？谢谢。