I have data in 2 numpy arrays: one a list of 3D positions, the other the values of a scalar AT each of those positions. The ordering of the position data is fairly 'weird' (see below).
The 3D position data is in an array:
pos = np.array([[1,1,1],[1,1,2],[1,1,3],[1,2,2],[1,2,1], ...])pos.shape is (100000,3)where the ordering is not intuitive (it is following a space filling curve).
and I also have the scalar values that I want to plot at each of those locations:
vel = np.array([1,2,1,3,4,...])vel.shape = (1000000,1)
My question is, how do I plot an xy slice with pcolormesh from this data??? I can extract an xy plane with numpy:
xs = pos[:,:1][:,0]ys = pos[:,1:2][:,0]
now I have a bunch of essentially random x coords and y coords that no long map 1-1 to the vel data... :/ I don't know how to first map those initial positions to my vel data so that I can generate a pcolormesh:
plt.pcolormesh(X, Y, V)
Can someone help me slice this data up so everything stays mapped to the right position in xy (and z) space?