Hi Roger, On Thu, Jan 20, 2022, at 07:13, roger.dav...@geo-spatial.co.uk wrote: > I use a CAD package called Rhino which lets users write python scripts > that run in the cad environment. I have a closed curve that is a design > surface border and I have a sparse data set of 2D surveyed points taken > around that border, so some error is included in the 2D data set. I > would like to know what python function I could use to do a 2D best fit > of the points to the curve.
This isn't exactly what you asked for, but in case you are looking to refine these points into a smoother, I've found subdivision splines very handy. To get the boundary conditions right is usually just a matter of repeating the start and end points enough times to cover the subdivision mask. Here is an example implementation of Catmul-Clark subdivision: https://github.com/matplotlib/viscm/blob/master/viscm/bezierbuilder.py#L323 You can choose subdivision coefficients so that the resulting curve goes exactly through your data points or not. Best regards, Stéfan _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
