A Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram
Pyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram. It is written as a Python C extension, with both high-level and low-level interfaces to qhull.
Currently, there is no effective port of the qhull algorithm, especially for higher dimensions. While isolated packages exist for up to 3D convex hulls, no effective package exist for higher dimensions. The only other known code which supports convex hulls in higher dimensions is the scipy.spatial package, but that code is extremely inefficient compared to the original Qhull in C. Pyhull is much faster than the scipy.spatial package.
Pyhull has been tested to scale to 10,000 7D points for convex hull calculations (results in ~ 10 seconds), and 10,000 6D points for Delaunay triangulations and Voronoi tesselations (~ 100 seconds). Higher number of points and higher dimensions should be accessible depending on your machine, but may take a significant amount of time.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pyhull-1.2.1-py2.7-macosx-10.6-intel.egg (355.8 kB) Copy SHA256 hash SHA256||Egg||2.7||Nov 22, 2012|
|pyhull-1.2.1.tar.gz (297.5 kB) Copy SHA256 hash SHA256||Source||None||Nov 22, 2012|