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"?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""。 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......
答案 0 :(得分:3)
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