Hi all, I'm looking for some advice on how to order data points so that I can visualise them. I've been looking at scipy.cluster for this purpose but I'm not sure whether it is suitable so I thought I'd see whether anyone had suggestions for a simpler suggestion of how to order the coordinates. I have a binary 3D array containing 1's that form a shape in a 3D volume against a background of 0's - they form a skeleton of a connected, branched structure. Furthermore, the points are all 26-connected to each other, i.e. there are no gaps in the skeleton. The longest chains may be 1000's of points long. It would be nice to visualise these using the mayavi mlab plot3d function, which draws tubes and which requires ordered coordinates as input, so I need to get ordered coordinate lists that traverse the points along the branches of the skeleton. It would also be nice to preferentially cluster long chains since then I can cull very short chains from the visualisation. scipy.cluster seems to be able to cluster the points but I'm not sure how to get the x,y,z coordinates of the original points out of its linkage data. This may not be possible. Maybe the scipy.spatial module is a better match to my problem. Any suggestions? Gary