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/shyuep/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
File details
Details for the file pyhull-1.4.4.tar.gz
.
File metadata
- Download URL: pyhull-1.4.4.tar.gz
- Upload date:
- Size: 302.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ef0c22d0f62aaea5fe621cdcaae090c33d422a6e0da8fa18e4486a728ce5c62c |
|
MD5 | 95e78af4cfa154471ffbcf8f3fea10ce |
|
BLAKE2b-256 | 57b300dfa6c1e3950c3e8d0a0ef1a51b359150c69975c67f16d39f15e4d7272c |
File details
Details for the file pyhull-1.4.4-py2.7-macosx-10.6-intel.egg
.
File metadata
- Download URL: pyhull-1.4.4-py2.7-macosx-10.6-intel.egg
- Upload date:
- Size: 371.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7bd46aebb08de1631ae313da224a1169bea7d6bf1ce887b7d067140670954dfe |
|
MD5 | 4f8754162f880ad810f508f4d5e924ec |
|
BLAKE2b-256 | ec09f2c584dddd700c42020e66fdb711a01e165c8c978f1c9b58353c98bd08d2 |