Tracé 3D couleur

Question

J'ai trouvé ici ce bon example pour tracer des données 3D avec Python 2.7.

import matplotlib.pyplot as plt 
from matplotlib.ticker import MaxNLocator 
from matplotlib import cm 
from mpl_toolkits.mplot3d import Axes3D 
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() 
ax = fig.add_subplot(111, projection='3d') 

surf = ax.plot_trisurf(Xs, Ys, Zs, cmap=cm.jet, 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() 


fig.savefig('3D.png') 
plt.show()   

Le résultat est bon:

Mais, pourrait-il être possible de mettre cette carte en 3D "en 2D"? Je veux avoir seulement la couleur comme indication pour la coordonnée Z. Comme ce serait de voir cette intrigue "du haut". Et pour remarquer, les données (et ainsi la coordonnée z) proviennent d'une mesure, pas d'une fonction.

J'ai beaucoup de données et mon ordinateur est très lent ...

Answer 1

Comme mentionné dans le commentaire, vous pouvez utiliser un contour. Puisque vous utilisez déjà une triangulation, vous pouvez utiliser tricontourf. Voir un exemple ci-dessous.

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() 

Les résultats sont