%global _empty_manifest_terminate_build 0
Name: python-impedance
Version: 1.5.0
Release: 1
Summary: A package for analyzing electrochemical impedance data
License: MIT License
URL: https://impedancepy.readthedocs.io/en/latest/
Source0: https://mirrors.aliyun.com/pypi/web/packages/1c/14/f9ad9b26c78714fa0b7da16fb17532654576150f9e84b9e257267066a812/impedance-1.5.0.tar.gz
BuildArch: noarch
Requires: python3-altair
Requires: python3-matplotlib
Requires: python3-numpy
Requires: python3-scipy
%description
`impedance.py` is a Python package for making electrochemical impedance spectroscopy (EIS) analysis reproducible and easy-to-use.
Aiming to create a consistent, [scikit-learn-like API](https://arxiv.org/abs/1309.0238) for impedance analysis, impedance.py contains modules for data preprocessing, validation, model fitting, and visualization.
For a little more in-depth discussion of the package background and capabilities, check out our [Journal of Open Source Software paper](https://joss.theoj.org/papers/10.21105/joss.02349).
If you have a feature request or find a bug, please [file an issue](https://github.com/ECSHackWeek/impedance.py/issues) or, better yet, make the code improvements and [submit a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/)! The goal is to build an open-source tool that the entire impedance community can improve and use!
### Installation
The easiest way to install impedance.py is from [PyPI](https://pypi.org/project/impedance/) using pip.
```bash
pip install impedance
```
See [Getting started with impedance.py](https://impedancepy.readthedocs.io/en/latest/getting-started.html) for instructions on getting started from scratch.
#### Dependencies
impedance.py requires:
- Python (>=3.7)
- SciPy (>=1.0)
- NumPy (>=1.14)
- Matplotlib (>=3.0)
- Altair (>=3.0)
Several example notebooks are provided in the `docs/source/examples/` directory. Opening these will require Jupyter notebook or Jupyter lab.
#### Examples and Documentation
Several examples can be found in the `docs/source/examples/` directory (the [Fitting impedance spectra notebook](https://impedancepy.readthedocs.io/en/latest/examples/fitting_example.html) is a great place to start) and the documentation can be found at [impedancepy.readthedocs.io](https://impedancepy.readthedocs.io/en/latest/).
## Citing impedance.py
[](https://doi.org/10.21105/joss.02349)
If you use impedance.py in published work, please consider citing https://joss.theoj.org/papers/10.21105/joss.02349 as
```bash
@article{Murbach2020,
doi = {10.21105/joss.02349},
url = {https://doi.org/10.21105/joss.02349},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {52},
pages = {2349},
author = {Matthew D. Murbach and Brian Gerwe and Neal Dawson-Elli and Lok-kun Tsui},
title = {impedance.py: A Python package for electrochemical impedance analysis},
journal = {Journal of Open Source Software}
}
```
## Contributors ✨
This project started at the [2018 Electrochemical Society (ECS) Hack Week in Seattle](https://www.electrochem.org/233/hack-week) and has benefited from a community of users and contributors since. Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
%package -n python3-impedance
Summary: A package for analyzing electrochemical impedance data
Provides: python-impedance
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-impedance
`impedance.py` is a Python package for making electrochemical impedance spectroscopy (EIS) analysis reproducible and easy-to-use.
Aiming to create a consistent, [scikit-learn-like API](https://arxiv.org/abs/1309.0238) for impedance analysis, impedance.py contains modules for data preprocessing, validation, model fitting, and visualization.
For a little more in-depth discussion of the package background and capabilities, check out our [Journal of Open Source Software paper](https://joss.theoj.org/papers/10.21105/joss.02349).
If you have a feature request or find a bug, please [file an issue](https://github.com/ECSHackWeek/impedance.py/issues) or, better yet, make the code improvements and [submit a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/)! The goal is to build an open-source tool that the entire impedance community can improve and use!
### Installation
The easiest way to install impedance.py is from [PyPI](https://pypi.org/project/impedance/) using pip.
```bash
pip install impedance
```
See [Getting started with impedance.py](https://impedancepy.readthedocs.io/en/latest/getting-started.html) for instructions on getting started from scratch.
#### Dependencies
impedance.py requires:
- Python (>=3.7)
- SciPy (>=1.0)
- NumPy (>=1.14)
- Matplotlib (>=3.0)
- Altair (>=3.0)
Several example notebooks are provided in the `docs/source/examples/` directory. Opening these will require Jupyter notebook or Jupyter lab.
#### Examples and Documentation
Several examples can be found in the `docs/source/examples/` directory (the [Fitting impedance spectra notebook](https://impedancepy.readthedocs.io/en/latest/examples/fitting_example.html) is a great place to start) and the documentation can be found at [impedancepy.readthedocs.io](https://impedancepy.readthedocs.io/en/latest/).
## Citing impedance.py
[](https://doi.org/10.21105/joss.02349)
If you use impedance.py in published work, please consider citing https://joss.theoj.org/papers/10.21105/joss.02349 as
```bash
@article{Murbach2020,
doi = {10.21105/joss.02349},
url = {https://doi.org/10.21105/joss.02349},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {52},
pages = {2349},
author = {Matthew D. Murbach and Brian Gerwe and Neal Dawson-Elli and Lok-kun Tsui},
title = {impedance.py: A Python package for electrochemical impedance analysis},
journal = {Journal of Open Source Software}
}
```
## Contributors ✨
This project started at the [2018 Electrochemical Society (ECS) Hack Week in Seattle](https://www.electrochem.org/233/hack-week) and has benefited from a community of users and contributors since. Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
%package help
Summary: Development documents and examples for impedance
Provides: python3-impedance-doc
%description help
`impedance.py` is a Python package for making electrochemical impedance spectroscopy (EIS) analysis reproducible and easy-to-use.
Aiming to create a consistent, [scikit-learn-like API](https://arxiv.org/abs/1309.0238) for impedance analysis, impedance.py contains modules for data preprocessing, validation, model fitting, and visualization.
For a little more in-depth discussion of the package background and capabilities, check out our [Journal of Open Source Software paper](https://joss.theoj.org/papers/10.21105/joss.02349).
If you have a feature request or find a bug, please [file an issue](https://github.com/ECSHackWeek/impedance.py/issues) or, better yet, make the code improvements and [submit a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/)! The goal is to build an open-source tool that the entire impedance community can improve and use!
### Installation
The easiest way to install impedance.py is from [PyPI](https://pypi.org/project/impedance/) using pip.
```bash
pip install impedance
```
See [Getting started with impedance.py](https://impedancepy.readthedocs.io/en/latest/getting-started.html) for instructions on getting started from scratch.
#### Dependencies
impedance.py requires:
- Python (>=3.7)
- SciPy (>=1.0)
- NumPy (>=1.14)
- Matplotlib (>=3.0)
- Altair (>=3.0)
Several example notebooks are provided in the `docs/source/examples/` directory. Opening these will require Jupyter notebook or Jupyter lab.
#### Examples and Documentation
Several examples can be found in the `docs/source/examples/` directory (the [Fitting impedance spectra notebook](https://impedancepy.readthedocs.io/en/latest/examples/fitting_example.html) is a great place to start) and the documentation can be found at [impedancepy.readthedocs.io](https://impedancepy.readthedocs.io/en/latest/).
## Citing impedance.py
[](https://doi.org/10.21105/joss.02349)
If you use impedance.py in published work, please consider citing https://joss.theoj.org/papers/10.21105/joss.02349 as
```bash
@article{Murbach2020,
doi = {10.21105/joss.02349},
url = {https://doi.org/10.21105/joss.02349},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {52},
pages = {2349},
author = {Matthew D. Murbach and Brian Gerwe and Neal Dawson-Elli and Lok-kun Tsui},
title = {impedance.py: A Python package for electrochemical impedance analysis},
journal = {Journal of Open Source Software}
}
```
## Contributors ✨
This project started at the [2018 Electrochemical Society (ECS) Hack Week in Seattle](https://www.electrochem.org/233/hack-week) and has benefited from a community of users and contributors since. Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
%prep
%autosetup -n impedance-1.5.0
%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-impedance -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot - 1.5.0-1
- Package Spec generated
