windrose
A graphic tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location.
https://github.com/python-windrose/windrose
Category: Atmosphere
Sub Category: Meteorological Observation and Forecast
Keywords
matplotlib numpy pandas python speed wind windrose
Keywords from Contributors
archiving transforms climate-model geoscience atmospheric-science measur projection observation earth-science meshing
Last synced: about 12 hours ago
JSON representation
Repository metadata
A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
- Host: GitHub
- URL: https://github.com/python-windrose/windrose
- Owner: python-windrose
- License: other
- Created: 2015-06-16T18:42:14.000Z (almost 10 years ago)
- Default Branch: main
- Last Pushed: 2025-04-07T19:31:11.000Z (19 days ago)
- Last Synced: 2025-04-22T08:44:06.292Z (5 days ago)
- Topics: matplotlib, numpy, pandas, python, speed, wind, windrose
- Language: Python
- Homepage: https://python-windrose.github.io/windrose
- Size: 77.7 MB
- Stars: 340
- Watchers: 22
- Forks: 131
- Open Issues: 22
- Releases: 14
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Code of conduct: CODE_OF_CONDUCT.md
README.md
Windrose
A wind rose is a graphic tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location. It can also be used to describe air quality pollution sources. The wind rose tool uses Matplotlib as a backend. Data can be passed to the package using Numpy arrays or a Pandas DataFrame.
Windrose is a Python library to manage wind data, draw windroses (also known as polar rose plots), and fit Weibull probability density functions.
The initial use case of this library was for a technical report concerning pollution exposure and wind distributions analyzes. Data from local pollution measures and meteorologic information from various sources like Meteo-France were used to generate a pollution source wind rose.
It is also used by some contributors for teaching purpose.
Some others contributors have used it to make figures for a wind power plant control optimization study.
Some academics use it to track lightning strikes during high intensity storms. They are using it to visualize the motion of storms based on the relative position of the lightning from one strike to the next.
Try windrose on mybinder.org
Install
Requirements
- matplotlib http://matplotlib.org/
- numpy http://www.numpy.org/
- and naturally python https://www.python.org/ :-P
Optional libraries:
- Pandas http://pandas.pydata.org/ (to feed plot functions easily)
- Scipy http://www.scipy.org/ (to fit data with Weibull distribution)
- ffmpeg https://www.ffmpeg.org/ (to output video)
- click http://click.pocoo.org/ (for command line interface tools)
- seaborn https://seaborn.pydata.org/ (for easy subplots)
Install latest release version via pip
A package is available and can be downloaded from PyPi and installed using:
$ pip install windrose
Install latest development version
$ pip install git+https://github.com/python-windrose/windrose
or
$ git clone https://github.com/python-windrose/windrose
$ python setup.py install
Documentation
Full documentation of library is available at https://python-windrose.github.io/windrose/
Community guidelines
You can help to develop this library.
Code of Conduct
If you are using Python Windrose and want to interact with developers, others users...
we encourage you to follow our code of conduct.
Contributing
If you discover issues, have ideas for improvements or new features, please report them.
CONTRIBUTING.md explains
how to contribute to this project.
List of contributors and/or notable users
https://github.com/python-windrose/windrose/blob/main/CONTRIBUTORS.md
Owner metadata
- Name: python-windrose
- Login: python-windrose
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/28726174?v=4
- Repositories: 1
- Last ynced at: 2023-03-02T11:35:18.831Z
- Profile URL: https://github.com/python-windrose
GitHub Events
Total
- Issues event: 3
- Watch event: 12
- Delete event: 7
- Issue comment event: 4
- Push event: 8
- Pull request event: 12
- Fork event: 1
- Create event: 7
Last Year
- Issues event: 3
- Watch event: 12
- Delete event: 7
- Issue comment event: 4
- Push event: 8
- Pull request event: 12
- Fork event: 1
- Create event: 7
Committers metadata
Last synced: 7 days ago
Total Commits: 362
Total Committers: 25
Avg Commits per committer: 14.48
Development Distribution Score (DDS): 0.478
Commits in past year: 33
Committers in past year: 8
Avg Commits per committer in past year: 4.125
Development Distribution Score (DDS) in past year: 0.576
| Name | Commits | |
|---|---|---|
| scls19fr | s****s@g****m | 189 |
| Filipe Fernandes | o****f@g****m | 61 |
| pre-commit-ci[bot] | 6****] | 37 |
| dependabot[bot] | 4****] | 17 |
| Jonas Kittner | j****r@r****e | 9 |
| Samuël Weber/GwendalD | s****r@u****r | 7 |
| kilojoules | j****8@h****u | 7 |
| Samuël Weber/GwendalD | s****r@n****g | 6 |
| lubyant | l****4@g****m | 4 |
| strawberry beach sandals | 3****3 | 3 |
| xmn | i****a@g****m | 3 |
| Pete Bachant | p****e@w****m | 3 |
| Joonatan Partanen | j****n@i****i | 2 |
| Hassan Kassem | h****m@g****m | 2 |
| Fabien Maussion | f****n@u****t | 2 |
| Jonas Kittner | 5****3 | 1 |
| Jørgen Kvalsvik | j****a@s****m | 1 |
| Leonardo Uieda | l****a@g****m | 1 |
| Miguel Rodas | m****s | 1 |
| Sam P Raj | 6****7 | 1 |
| Stas | s****v@g****m | 1 |
| Sébastien Celles | 1****s | 1 |
| mccannjb | m****t@g****m | 1 |
| Jonas Schmidt | j****t@i****e | 1 |
| sspagnol | s****l@g****m | 1 |
Committer domains:
- iwes.fraunhofer.de: 1
- statoil.com: 1
- uibk.ac.at: 1
- iceye.fi: 1
- windesco.com: 1
- normalesup.org: 1
- humboldt.edu: 1
- univ-grenoble-alpes.fr: 1
- rub.de: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 141
Total pull requests: 151
Average time to close issues: over 1 year
Average time to close pull requests: about 1 month
Total issue authors: 88
Total pull request authors: 27
Average comments per issue: 2.65
Average comments per pull request: 1.21
Merged pull request: 137
Bot issues: 0
Bot pull requests: 49
Past year issues: 7
Past year pull requests: 20
Past year average time to close issues: about 21 hours
Past year average time to close pull requests: about 9 hours
Past year issue authors: 6
Past year pull request authors: 7
Past year average comments per issue: 2.29
Past year average comments per pull request: 0.4
Past year merged pull request: 19
Past year bot issues: 0
Past year bot pull requests: 13
Top Issue Authors
- scls19fr (39)
- cqcn1991 (4)
- winash12 (3)
- 15b3 (3)
- blaylockbk (3)
- cnske (3)
- SchmJo (2)
- GoodLug (2)
- slharris (2)
- Data-drone (2)
- jsignell (1)
- amoeba (1)
- dennydengler (1)
- Round-Walnut (1)
- DrJonnyT (1)
Top Pull Request Authors
- ocefpaf (33)
- pre-commit-ci[bot] (31)
- dependabot[bot] (18)
- scls19fr (14)
- weber-s (13)
- jkittner (9)
- kilojoules (5)
- 15b3 (3)
- petebachant (3)
- fmaussion (2)
- lubyant (2)
- sspagnol (2)
- SchmJo (2)
- jokva (1)
- jparta (1)
Top Issue Labels
- warning (3)
- deprecation (2)
- question (1)
- enhancement (1)
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 27,253 last-month
- Total docker downloads: 6,594
- Total dependent packages: 10 (may contain duplicates)
- Total dependent repositories: 44 (may contain duplicates)
- Total versions: 25
- Total maintainers: 2
pypi.org: windrose
Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot)
- Homepage:
- Documentation: https://windrose.readthedocs.io/
- Licenses: BSD-3-Clause OR BCeCILL-B
- Latest release: 1.9.2 (published 9 months ago)
- Last Synced: 2025-04-25T14:05:18.635Z (1 day ago)
- Versions: 16
- Dependent Packages: 9
- Dependent Repositories: 30
- Downloads: 27,253 Last month
- Docker Downloads: 6,594
-
Rankings:
- Dependent packages count: 1.256%
- Docker downloads count: 1.696%
- Dependent repos count: 2.676%
- Average: 2.719%
- Downloads: 2.875%
- Stargazers count: 3.551%
- Forks count: 4.259%
- Maintainers (2)
conda-forge.org: windrose
- Homepage: https://github.com/python-windrose/windrose
- Licenses: BSD-3-Clause
- Latest release: 1.8.0 (published over 2 years ago)
- Last Synced: 2025-04-02T02:57:34.828Z (25 days ago)
- Versions: 9
- Dependent Packages: 1
- Dependent Repositories: 14
-
Rankings:
- Dependent repos count: 9.349%
- Forks count: 16.581%
- Average: 19.317%
- Stargazers count: 22.386%
- Dependent packages count: 28.954%
Dependencies
- black *
- cartopy *
- check-manifest *
- coverage *
- flake8 *
- flake8-builtins *
- flake8-comprehensions *
- flake8-mutable *
- flake8-print *
- interrogate *
- isort *
- jupyter *
- nbsphinx *
- pre-commit *
- pydocstyle *
- pylint *
- pytest *
- pytest-cov *
- pytest-flake8 *
- pytest-sugar *
- setuptools_scm *
- sphinx *
- sphinx_rtd_theme *
- twine *
- wheel *
- matplotlib *
- numpy *
- pandas *
- scipy *
- actions/checkout v3 composite
- mamba-org/provision-with-micromamba v14 composite
- peaceiris/actions-gh-pages v3.9.1 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish v1.6.4 composite
- actions/checkout v3 composite
- mamba-org/provision-with-micromamba v14 composite
Score: 19.54195578155281