How to calculate even distance along an interpolated path (Python2.7)?
I'm sure there's an elegant way to do this with pandas, but until then, here's a simple idea if you can live with some error. You can do this a few different ways but here's the gist of it:
Treat each tuple as a node in a linked list. Define the desired length, D, between each point. As you move through the list, if the next node is not a distance D from the current node, adjust its x,y coordinates accordingly (or insert/delete nodes as necessary) so that it is a distance D from the current node along the line segments that connect the nodes. 
Like I said, you'll have to live with some error because your original points will be adjusted/deleted. If you generate points to create more resolution prior to this, you can probably lessen the error.
I have a (long) list of x,y tuples that collectively describe a path (ie. mouse-activity sampled at a constant rate despite non-constant velocities).
My goal is to animate that path at a constant rate. So I have segments that are curved, and segments that are straight, and the delta-d between any two points isn't guaranteed to be the same. 
Given data like:
[(0,0), (0,2), (4,6).... ] where the length of that list is ~1k-2k points, is there any way besides brute-force counting line-segment lengths between each point and then designating every n-length a "frame"?