%global _empty_manifest_terminate_build 0
Name:		python-dufte
Version:	0.2.29
Release:	1
Summary:	Clean matplotlib plots
License:	MIT
URL:		https://github.com/nschloe/dufte
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3f/dc/81f41060445a319f24c9771e66b8a935fb435b1ca13fecf8cb4b9310a39f/dufte-0.2.29.tar.gz
BuildArch:	noarch

Requires:	python3-matplotlib
Requires:	python3-numpy

%description
<p align="center">
  <a href="https://github.com/nschloe/dufte"><img alt="dufte-logo" src="https://nschloe.github.io/dufte/logo.svg" width="40%"></a>
  <p align="center"><a href="https://en.wikipedia.org/wiki/Berlin_German">Da kiekste, wa?</a></p>
</p>
[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)
<!--[![PyPi downloads](https://img.shields.io/pypi/dm/dufte.svg?style=flat-square)](https://pypistats.org/packages/dufte)-->
[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
This package creates clean and beautiful plots that work on light and dark backgrounds.
Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).
To use, install with
```
pip install dufte
```
and simply select the `dufte` style:
```python
import dufte
import matplotlib.pyplot as plt
# global setting:
plt.style.use(dufte.style)
# with a context manager:
with plt.style.context(dufte.style_bar):
    # ...
    pass
```
Check out `dufte.legend()`, `dufte.ylabel()`, and `dufte.show_bar_values()` for more
duftiness.
#### Comparison with default Matplotlib
See [here](tests/create_comparison.py) for how to create the below plots.
<a href="tests/create_comparison.py">
<table width="100%">
  <tr>
  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-mpl.svg"/></td>
  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-dufte.svg"/></td>
  </tr>
  <tr>
    <td>matplotlib</td>
    <td>dufte with <code>dufte.legend()</code></td>
  </tr>
</table>
</a>
<a href="tests/create_comparison.py">
<table width="100%">
  <tr>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-mpl.svg"/></td>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte1.svg"/></td>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte2.svg"/></td>
  </tr>
  <tr>
    <td>matplotlib</td>
    <td>dufte</td>
    <td>dufte with <code>dufte.show_bar_values()</code></td>
  </tr>
</table>
</a>
### Further reading and other styles
- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
  <img src="https://nschloe.github.io/dufte/data-ink.webp" width="50%"/>
- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)
Other styles
- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)
Projects using dufte:
- [perfplot](https://github.com/nschloe/perfplot)
- [stargraph](https://github.com/nschloe/stargraph)
### Background
[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
The position $`x_i`$ of the line annotations is computed as the solution of a
non-negative least-squares problem
```math
\begin{align}
\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
\end{align}
```
where $`a`$ is the minimum distance between two entries and $`t_i`$ is the target
position.

%package -n python3-dufte
Summary:	Clean matplotlib plots
Provides:	python-dufte
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-dufte
<p align="center">
  <a href="https://github.com/nschloe/dufte"><img alt="dufte-logo" src="https://nschloe.github.io/dufte/logo.svg" width="40%"></a>
  <p align="center"><a href="https://en.wikipedia.org/wiki/Berlin_German">Da kiekste, wa?</a></p>
</p>
[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)
<!--[![PyPi downloads](https://img.shields.io/pypi/dm/dufte.svg?style=flat-square)](https://pypistats.org/packages/dufte)-->
[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
This package creates clean and beautiful plots that work on light and dark backgrounds.
Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).
To use, install with
```
pip install dufte
```
and simply select the `dufte` style:
```python
import dufte
import matplotlib.pyplot as plt
# global setting:
plt.style.use(dufte.style)
# with a context manager:
with plt.style.context(dufte.style_bar):
    # ...
    pass
```
Check out `dufte.legend()`, `dufte.ylabel()`, and `dufte.show_bar_values()` for more
duftiness.
#### Comparison with default Matplotlib
See [here](tests/create_comparison.py) for how to create the below plots.
<a href="tests/create_comparison.py">
<table width="100%">
  <tr>
  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-mpl.svg"/></td>
  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-dufte.svg"/></td>
  </tr>
  <tr>
    <td>matplotlib</td>
    <td>dufte with <code>dufte.legend()</code></td>
  </tr>
</table>
</a>
<a href="tests/create_comparison.py">
<table width="100%">
  <tr>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-mpl.svg"/></td>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte1.svg"/></td>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte2.svg"/></td>
  </tr>
  <tr>
    <td>matplotlib</td>
    <td>dufte</td>
    <td>dufte with <code>dufte.show_bar_values()</code></td>
  </tr>
</table>
</a>
### Further reading and other styles
- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
  <img src="https://nschloe.github.io/dufte/data-ink.webp" width="50%"/>
- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)
Other styles
- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)
Projects using dufte:
- [perfplot](https://github.com/nschloe/perfplot)
- [stargraph](https://github.com/nschloe/stargraph)
### Background
[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
The position $`x_i`$ of the line annotations is computed as the solution of a
non-negative least-squares problem
```math
\begin{align}
\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
\end{align}
```
where $`a`$ is the minimum distance between two entries and $`t_i`$ is the target
position.

%package help
Summary:	Development documents and examples for dufte
Provides:	python3-dufte-doc
%description help
<p align="center">
  <a href="https://github.com/nschloe/dufte"><img alt="dufte-logo" src="https://nschloe.github.io/dufte/logo.svg" width="40%"></a>
  <p align="center"><a href="https://en.wikipedia.org/wiki/Berlin_German">Da kiekste, wa?</a></p>
</p>
[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)
<!--[![PyPi downloads](https://img.shields.io/pypi/dm/dufte.svg?style=flat-square)](https://pypistats.org/packages/dufte)-->
[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
This package creates clean and beautiful plots that work on light and dark backgrounds.
Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).
To use, install with
```
pip install dufte
```
and simply select the `dufte` style:
```python
import dufte
import matplotlib.pyplot as plt
# global setting:
plt.style.use(dufte.style)
# with a context manager:
with plt.style.context(dufte.style_bar):
    # ...
    pass
```
Check out `dufte.legend()`, `dufte.ylabel()`, and `dufte.show_bar_values()` for more
duftiness.
#### Comparison with default Matplotlib
See [here](tests/create_comparison.py) for how to create the below plots.
<a href="tests/create_comparison.py">
<table width="100%">
  <tr>
  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-mpl.svg"/></td>
  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-dufte.svg"/></td>
  </tr>
  <tr>
    <td>matplotlib</td>
    <td>dufte with <code>dufte.legend()</code></td>
  </tr>
</table>
</a>
<a href="tests/create_comparison.py">
<table width="100%">
  <tr>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-mpl.svg"/></td>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte1.svg"/></td>
  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte2.svg"/></td>
  </tr>
  <tr>
    <td>matplotlib</td>
    <td>dufte</td>
    <td>dufte with <code>dufte.show_bar_values()</code></td>
  </tr>
</table>
</a>
### Further reading and other styles
- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
  <img src="https://nschloe.github.io/dufte/data-ink.webp" width="50%"/>
- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)
Other styles
- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)
Projects using dufte:
- [perfplot](https://github.com/nschloe/perfplot)
- [stargraph](https://github.com/nschloe/stargraph)
### Background
[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
The position $`x_i`$ of the line annotations is computed as the solution of a
non-negative least-squares problem
```math
\begin{align}
\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
\end{align}
```
where $`a`$ is the minimum distance between two entries and $`t_i`$ is the target
position.

%prep
%autosetup -n dufte-0.2.29

%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-dufte -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.29-1
- Package Spec generated