A Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram
Project description
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.
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.
For more details or to report bugs, please visit the pyhull GitHub page at https://github.com/materialsvirtuallab/pyhull or the documentation page at http://packages.python.org/pyhull/.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyhull-1.5.7-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 384fe682a3cd78dbd6502d00ac4ecab4c6f7fb3593dd117edac1f34ca4183e3f |
|
MD5 | 85a79a7a166a54f8bae68dbe6a6ca8ad |
|
BLAKE2b-256 | e7baa3867d0034e70f6cab76f836937f6532f3337023da6812973817ba0f8371 |