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|
%global _empty_manifest_terminate_build 0
Name: python-windrose
Version: 1.8.1
Release: 1
Summary: Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot)
License: BCeCILL-B OR BSD-3-Clause
URL: https://github.com/python-windrose/windrose
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e6/52/49567d925a33db1eca1c6b0b3551de1865739548f88909459f872deb613f/windrose-1.8.1.tar.gz
BuildArch: noarch
Requires: python3-matplotlib
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-scipy
%description
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://github.com/python-windrose/windrose/actions/workflows/tests.yml)
[](https://zenodo.org/badge/latestdoi/37549137)
[](https://joss.theoj.org/papers/10.21105/joss.00268)
# Windrose
A [wind rose](https://en.wikipedia.org/wiki/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](https://www.nrel.gov/docs/fy17osti/68185.pdf).
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
[](https://mybinder.org/v2/gh/python-windrose/windrose/HEAD?labpath=notebooks)
## Install
### Requirements
- matplotlib http://matplotlib.org/
- numpy http://www.numpy.org/
- and naturally python https://www.python.org/ :-P
Option 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)
### Install latest release version via pip
A package is available and can be downloaded from PyPi and installed using:
```bash
$ pip install windrose
```
### Install latest development version
```bash
$ pip install git+https://github.com/python-windrose/windrose
```
or
```bash
$ 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](https://github.com/python-windrose/windrose/blob/master/CODE_OF_CONDUCT.md).
### Contributing
If you discover issues, have ideas for improvements or new features, please report them.
[CONTRIBUTING.md](https://github.com/python-windrose/windrose/blob/master/CONTRIBUTING.md) explains
how to contribute to this project.
### List of contributors and/or notable users
https://github.com/python-windrose/windrose/blob/master/CONTRIBUTORS.md
%package -n python3-windrose
Summary: Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot)
Provides: python-windrose
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-windrose
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://github.com/python-windrose/windrose/actions/workflows/tests.yml)
[](https://zenodo.org/badge/latestdoi/37549137)
[](https://joss.theoj.org/papers/10.21105/joss.00268)
# Windrose
A [wind rose](https://en.wikipedia.org/wiki/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](https://www.nrel.gov/docs/fy17osti/68185.pdf).
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
[](https://mybinder.org/v2/gh/python-windrose/windrose/HEAD?labpath=notebooks)
## Install
### Requirements
- matplotlib http://matplotlib.org/
- numpy http://www.numpy.org/
- and naturally python https://www.python.org/ :-P
Option 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)
### Install latest release version via pip
A package is available and can be downloaded from PyPi and installed using:
```bash
$ pip install windrose
```
### Install latest development version
```bash
$ pip install git+https://github.com/python-windrose/windrose
```
or
```bash
$ 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](https://github.com/python-windrose/windrose/blob/master/CODE_OF_CONDUCT.md).
### Contributing
If you discover issues, have ideas for improvements or new features, please report them.
[CONTRIBUTING.md](https://github.com/python-windrose/windrose/blob/master/CONTRIBUTING.md) explains
how to contribute to this project.
### List of contributors and/or notable users
https://github.com/python-windrose/windrose/blob/master/CONTRIBUTORS.md
%package help
Summary: Development documents and examples for windrose
Provides: python3-windrose-doc
%description help
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://pypi.python.org/pypi/windrose/)
[](https://github.com/python-windrose/windrose/actions/workflows/tests.yml)
[](https://zenodo.org/badge/latestdoi/37549137)
[](https://joss.theoj.org/papers/10.21105/joss.00268)
# Windrose
A [wind rose](https://en.wikipedia.org/wiki/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](https://www.nrel.gov/docs/fy17osti/68185.pdf).
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
[](https://mybinder.org/v2/gh/python-windrose/windrose/HEAD?labpath=notebooks)
## Install
### Requirements
- matplotlib http://matplotlib.org/
- numpy http://www.numpy.org/
- and naturally python https://www.python.org/ :-P
Option 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)
### Install latest release version via pip
A package is available and can be downloaded from PyPi and installed using:
```bash
$ pip install windrose
```
### Install latest development version
```bash
$ pip install git+https://github.com/python-windrose/windrose
```
or
```bash
$ 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](https://github.com/python-windrose/windrose/blob/master/CODE_OF_CONDUCT.md).
### Contributing
If you discover issues, have ideas for improvements or new features, please report them.
[CONTRIBUTING.md](https://github.com/python-windrose/windrose/blob/master/CONTRIBUTING.md) explains
how to contribute to this project.
### List of contributors and/or notable users
https://github.com/python-windrose/windrose/blob/master/CONTRIBUTORS.md
%prep
%autosetup -n windrose-1.8.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-windrose -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8.1-1
- Package Spec generated
|
