How to create a 3d Heatmap from a discrete data set in Python?

Question

I have a large dataset of the form [(X1, Y1, Z1, VALUE1), (X2, Y2, Z2, VALUE2)...]. The geometry of the points is the surface of a cylinder, while there are many discrete po

Answer 1

Depending on how dense your point cloud is you may be able to get what you want with this (adjust the size parameter, s, to fill out the plot best for your data):

from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.scatter(X, Y, Z, c=Value, lw=0, s=20)
plt.show()