Hello! So I am familiar with the standard technique of linking crosshairs across plots as described here:

However I now have a more complicated multidimensional set of plots I want to view with linked crosshairs, and it is not possible for me to simultaneously align all the shared dimensions on the same axes. Here’s an example, say I have a 4D dataset with (x, y, xdot, ydot) dimensions, and I want to view all 6 2D projections of this data, e.g.

x-y

xdot-y

ydot-y

x-ydot

x-xdot

xdot-ydot

And I want to link crosshairs for all the common dimensions. I can do it for up to 4 of them, but then the last two are impossible with this technique because the dimensions cannot possibly be on the matching (i.e. vertical or horizontal) axis.

E.g. we can have

x-y

xdot-y

x-ydot

xdot-ydot

where all the x’s and xdot’s are horizontal, and all the y’s and ydot’s are vertical. But then ydot-y has two “vertical” dimensions and x-xdot has two “horizontal” dimensions. So we have to put one of them in each plot on the “wrong” axis. Which is fine, except I have no idea how to link the crosshairs in this situation, because the standard way involves linking via these “Span” objects that don’t really understand what dimension they are part of and so can’t be linked from vertical to horizontal axes or vice versa.

I hope my problem is clear? Any advice on how to link crosshairs as needed in this situation?