| Date: | Mar 28, 2013 |
|---|---|
| Version: | 0.1.0 |
| Authors: | Joon Ro, joonhyoung.ro[at]gmail.com |
| Web site: | https://github.com/joonro/fast-cubic-spline-python |
| Copyright: | This document has been placed in the public domain. |
| License: | Fast-Cubic-Spline-Python is released under the GPLv3. |
Fast-Cubic-Spline-Python provides an implementation of 1D and 2D fast spline interpolation algorithm ([Habermann and Kindermann 2007] [1]) in Python. Higher dimensional interpolation is possible with this code, but only 1D and 2D examples are provided.
Calculation of spline coefficients are in NumPy, and actual interpolation routine is coded in Cython. This is advantageous since if your main routine is coded in Cython, once you have coefficients, you can call interpolation functions without any Python overhead.
Run the main module for an example:
$ python fast_cubic_spline.py- Python
- Cython (http://cython.org)
$ python setup.py build_ext --inplaceHabermann, C., & Kindermann, F. (2007). Multidimensional Spline Interpolation: Theory and Applications. Computational Economics, 30(2), 153–169.
[1]: http://www.springerlink.com/index/10.1007/s10614-007-9092-4 "Habermann, C., & Kindermann, F. (2007). Multidimensional Spline Interpolation: Theory and Applications. Computational Economics, 30(2), 153–169."