彩色3D图

Question

我在这里找到了这个好的example来用Python 2.7绘制3D数据。

show-all-if-ambiguous

结果很好：

但是，是否有可能将这张3D地图放在2D＆＃34;？我想只有颜色作为Z坐标的指示。因为它会从顶部看到这个情节＆＃34;＆＃34;。 要注意，数据（以及z坐标）来自测量，而不是函数。

我有很多数据而我的电脑很慢......

Answer 1

如评论中所述，您可以使用轮廓。由于您已经在使用三角测量，因此可以使用tricontourf。请参阅下面的示例。

import matplotlib.pyplot as plt
import numpy as np



## 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()
contour = plt.tricontourf(Xs, Ys, Zs, cmap="YlGnBu_r")
fig.colorbar(contour)
fig.savefig('3D.png')
plt.show()

结果是