Point Cloud Density

[RauchLukas]

Is there a straight forward solution to calculate the point cloud density (like e.g. in Cloud Compare) for a given Radius?

sure, with a loop and a KDTree, this is probably an easy task, i could do by myself, but im a bit lazy and speed matters.
So if there is a build in method for this, i would be thankful tho hear about.

[k, idx, foo] = pcd_tree.search_radius_vector_3d(pcd.points[0], 2)

Also, can someone tell me, what the third [_, _, foo] (the throw away in the example) output of the kdtree search is?

cheers, fellows!