Multi-dimensional parameterized spline curves (snappiness parameter gives uniform cubic B-splines, four-point subdivision splines, uniform quintic B-splines, and everything in-between)
Project description
jspline
Multi-dimensional parameterized spline curves (snappiness parameter gives uniform cubic B-splines, four-point subdivision splines, uniform quintic B-splines, and everything in-between)
Description
J-Splines are awesome: they're a class of spline curves that take a shape parameter, s. Setting s=1 yields uniform cubic B-spline curves, s=0 gives four-point subdivision curves, s=0.5 are uniform quintic B-splines - and more. "s" basically governs the "snappiness" of the curve.
jspline, lets you choose any combination of J-Spline parameters for any number of input arrays, with a range of different starting and ending schemes (eg: open or closed loops). Use it for 2D drawing, 3D graphics, or any other kind of interpolation you might need.
- See also my CPAN perl module that does the same: https://metacpan.org/pod/Math::JSpline
Installation
Normal installation
pip install jspline
Development installation
git clone https://github.com/gitcnd/jspline.git
cd jspline
pip install --editable .
Change log
[1.] - 2020-05-02
- Cloned a quality github python module, and changed it to jspline :-)
- Follwoed instructions here: https://medium.com/@thucnc/how-to-publish-your-own-python-package-to-pypi-4318868210f9
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