我想用我的三维数据生成一张热图。在

我已经能够用这些数据绘制出trisurf。在

有人能帮我制作热图吗？我看到了在线教程，但是它们对3D来说都很复杂，我在这个网站上找到了一个在matplotlib中生成带有散点的热图，但是它只有2D数据。在

我生成trisurf的代码是from mpl_toolkits.mplot3d import Axes3D

from matplotlib import cm

import matplotlib.pyplot as plt

import numpy as np

n_angles = 36

n_radii = 8

# An array of radii

# Does not include radius r=0, this is to eliminate duplicate points

radii = np.linspace(0.125, 1.0, n_radii)

# An array of angles

angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)

# Repeat all angles for each radius

angles = np.repeat(angles[...,np.newaxis], n_radii, axis=1)

# Convert polar (radii, angles) coords to cartesian (x, y) coords

# (0, 0) is added here. There are no duplicate points in the (x, y) plane

x,y,z =np.loadtxt('output/flash_KR_endowment_duration_3D.dat',delimiter='\t',usecols=(0,1,2),unpack=True)

#x,y,z =np.loadtxt('output/disk_KR_endowment_duration_3D.dat',delimiter='\t',usecols=(0,1,2),unpack=True)

fig = plt.figure()

ax = fig.gca(projection='3d')

#fig.suptitle(suptitle, fontsize=12, fontweight='bold')

#ax.set_title("Disk Kryder's Rate-Endowment-Duration Plot",fontsize=12)

ax.set_title("Flash Kryder's Rate-Endowment-Duration Plot",fontsize=12)

ax.set_xlabel("Kryder's rate")

ax.set_ylabel("Duration")

ax.set_zlabel("Endowment")

surf = ax.plot_trisurf(x, y, z, cmap=cm.jet, linewidth=0.2)

fig.colorbar(surf, shrink=.7, aspect=20)

plt.show()

数据为3列。比如说X，Y，Z。我试过用颜色绘制三维散点图。但我在找热图。在