PyCircular
pycircular is a Python module for circular data analysis built on top of Scikit-Learn, SciPy and distributed under the 3-Clause BSD license.
In particular, it provides:
A set of circular analysis algorithms
Different real-world datasets.
Installation
You can install pycircular with pip:
# pip install pycircular
Documentation
Documentation is available at http://albahnsen.github.io/pycircular
Tutorials are available at http://albahnsen.github.io/pycircular/Tutorials.html
Contributions
All source code is hosted on GitHub.
Contributions are welcome. There are a number of Issues that can be worked on.
Developers who have made significant contributions,
Name |
ID |
Notes |
|---|---|---|
Alejandro Correa Bahnsen |
primary maintainer |
|
Jaime Acevedo |
||
Sergio Villegas |
||
Juan Salcedo |
||
Jesus Solano |
LICENCE
Open Source (OSI approved):
Citation information:
1 maintainer
Metadata
1 maintainer
Release files for pycircular 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycircular-0.1.2.tar.gz | 18.5 kB | Details |
Release files / pycircular-0.1.2.tar.gz
| Download URL | pycircular-0.1.2.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.13
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