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diff --git a/python-ing-theme-matplotlib.spec b/python-ing-theme-matplotlib.spec new file mode 100644 index 0000000..bac32f1 --- /dev/null +++ b/python-ing-theme-matplotlib.spec @@ -0,0 +1,453 @@ +%global _empty_manifest_terminate_build 0 +Name: python-ing-theme-matplotlib +Version: 0.1.8 +Release: 1 +Summary: ING styles for common plotting libraries +License: Apache 2.0 +URL: https://gitlab.com/ing_rpaa/ing_theme_matplotlib +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9a/c1/ff21d921d585e0be199f1b8dfb4e75a82fb612b079320422fe8359390f49/ing_theme_matplotlib-0.1.8.tar.gz +BuildArch: noarch + + +%description +# ing-theme-matplotlib + +[](https://opensource.org/licenses/Apache-2.0) +[](https://pypi.org/project/ing-theme-matplotlib/) +[](https://pypi.org/project/ing-theme-matplotlib/) +[](https://img.shields.io/pypi/dm/ing_theme_matplotlib) + +`ing_theme_matplotlib` is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) and [`seaborn`](https://github.com/mwaskom/seaborn) style that allows you to create your plots using ING colors and ING Me font. It was adapted from the [`qbstyles`](https://github.com/quantumblacklabs/qbstyles) package. + +Dark style | Light style +|-----------|----------- | +|  |  | + +## Installation + +```bash +pip install ing_theme_matplotlib +``` + +## Usage + +You can use the dark Matplotlib style theme in the following way: + +```python +from ing_theme_matplotlib import mpl_style +``` +```python +mpl_style(dark=True) +``` + +And to use the light Matplotlib style theme, you can do the following: + +```python +from ing_theme_matplotlib import mpl_style +``` +```python +mpl_style(dark=False) +``` +> ⚠️ Make sure to run `from ing_theme_matplotlib import mpl_style` and `mpl_style()` in **different cells** as shown above. See [this issue](https://github.com/jupyter/notebook/issues/3691). + +## Adding ING Logo + +Assume that below is the function we use for plotting; + +```python +def line_plot(ax): + rng = np.random.RandomState(4) + x = np.linspace(0, 10, 500) + y = np.cumsum(rng.randn(500, 4), 0) + ax.set_title('Line Graph') + ax.set_xlabel('— Time') + ax.set_ylabel('— Random values') + ax.plot(x, y, label = ['Bitcoin', 'Ethereum', 'Dollar', 'Oil']) + ax.legend(['Bitcoin', 'Ethereum', 'Dollar', 'Oil'], loc = 1, fontsize = 'medium') + ax.set_xlim([0, 10]) + ax.set_ylim([-20, 60]) + ax.figure.set_figwidth(16) + ax.figure.set_figheight(8) + ax.spines['right'].set_position(('axes', 1.05)) + ax.spines['right'].set_color('none') +``` + +You can add the default ing logo to your plot by calling add_logo function inside the plotting function. + +```python +from ing_theme_matplotlib.mpl_style import add_logo +``` +```python +mpl_style() +line_plot(add_logo()) +``` + + + +You can also add custom logos to your plot by giving the path where the image is located. + +```python +from ing_theme_matplotlib.mpl_style import add_logo +``` +```python +mpl_style(dark = False) +line_plot(add_logo(bottom_left = 'ing_theme_matplotlib/logos/RPAA_Logo_RGB_Line.png')) +``` + + + +For more examples see [`ExamplePlots.ipynb`](ExamplePlots.ipynb). + +## Seaborn Usage + +Similar to above, you can implement plots in Seaborn. The main difference is how the logo is added. + +```python +mpl_style(dark = False) +def bar_plot(): + logo = add_logo() + tips = sns.load_dataset("tips") + ax = sns.barplot(x="tip", y="day", data=tips, ax=logo.axes) + +bar_plot() +``` + + + +For more examples see [Example Seaborn Plots.ipynb](Example Seaborn Plots.ipynb). + + +## Supported chart types + +- Line plots +- Scatter plots +- Bubble plots +- Bar charts +- Pie charts +- Histograms and distribution plots +- 3D surface plots +- Stream plots +- Polar plots + +## plt.Figure() + +It is important to note that we use `plt.Figure_ING()` in place of `plt.Figure()` due to changes in Matplotlib version 3.4.1. +As `plt.subplots()` works smoothly, it is best to stick to that methodology. + +## What licence do we use? + +ING Style plotting is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). +`ing-theme-matplotlib` is forked from [qbstyles](https://github.com/quantumblacklabs/qbstyles). + +%package -n python3-ing-theme-matplotlib +Summary: ING styles for common plotting libraries +Provides: python-ing-theme-matplotlib +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-ing-theme-matplotlib +# ing-theme-matplotlib + +[](https://opensource.org/licenses/Apache-2.0) +[](https://pypi.org/project/ing-theme-matplotlib/) +[](https://pypi.org/project/ing-theme-matplotlib/) +[](https://img.shields.io/pypi/dm/ing_theme_matplotlib) + +`ing_theme_matplotlib` is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) and [`seaborn`](https://github.com/mwaskom/seaborn) style that allows you to create your plots using ING colors and ING Me font. It was adapted from the [`qbstyles`](https://github.com/quantumblacklabs/qbstyles) package. + +Dark style | Light style +|-----------|----------- | +|  |  | + +## Installation + +```bash +pip install ing_theme_matplotlib +``` + +## Usage + +You can use the dark Matplotlib style theme in the following way: + +```python +from ing_theme_matplotlib import mpl_style +``` +```python +mpl_style(dark=True) +``` + +And to use the light Matplotlib style theme, you can do the following: + +```python +from ing_theme_matplotlib import mpl_style +``` +```python +mpl_style(dark=False) +``` +> ⚠️ Make sure to run `from ing_theme_matplotlib import mpl_style` and `mpl_style()` in **different cells** as shown above. See [this issue](https://github.com/jupyter/notebook/issues/3691). + +## Adding ING Logo + +Assume that below is the function we use for plotting; + +```python +def line_plot(ax): + rng = np.random.RandomState(4) + x = np.linspace(0, 10, 500) + y = np.cumsum(rng.randn(500, 4), 0) + ax.set_title('Line Graph') + ax.set_xlabel('— Time') + ax.set_ylabel('— Random values') + ax.plot(x, y, label = ['Bitcoin', 'Ethereum', 'Dollar', 'Oil']) + ax.legend(['Bitcoin', 'Ethereum', 'Dollar', 'Oil'], loc = 1, fontsize = 'medium') + ax.set_xlim([0, 10]) + ax.set_ylim([-20, 60]) + ax.figure.set_figwidth(16) + ax.figure.set_figheight(8) + ax.spines['right'].set_position(('axes', 1.05)) + ax.spines['right'].set_color('none') +``` + +You can add the default ing logo to your plot by calling add_logo function inside the plotting function. + +```python +from ing_theme_matplotlib.mpl_style import add_logo +``` +```python +mpl_style() +line_plot(add_logo()) +``` + + + +You can also add custom logos to your plot by giving the path where the image is located. + +```python +from ing_theme_matplotlib.mpl_style import add_logo +``` +```python +mpl_style(dark = False) +line_plot(add_logo(bottom_left = 'ing_theme_matplotlib/logos/RPAA_Logo_RGB_Line.png')) +``` + + + +For more examples see [`ExamplePlots.ipynb`](ExamplePlots.ipynb). + +## Seaborn Usage + +Similar to above, you can implement plots in Seaborn. The main difference is how the logo is added. + +```python +mpl_style(dark = False) +def bar_plot(): + logo = add_logo() + tips = sns.load_dataset("tips") + ax = sns.barplot(x="tip", y="day", data=tips, ax=logo.axes) + +bar_plot() +``` + + + +For more examples see [Example Seaborn Plots.ipynb](Example Seaborn Plots.ipynb). + + +## Supported chart types + +- Line plots +- Scatter plots +- Bubble plots +- Bar charts +- Pie charts +- Histograms and distribution plots +- 3D surface plots +- Stream plots +- Polar plots + +## plt.Figure() + +It is important to note that we use `plt.Figure_ING()` in place of `plt.Figure()` due to changes in Matplotlib version 3.4.1. +As `plt.subplots()` works smoothly, it is best to stick to that methodology. + +## What licence do we use? + +ING Style plotting is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). +`ing-theme-matplotlib` is forked from [qbstyles](https://github.com/quantumblacklabs/qbstyles). + +%package help +Summary: Development documents and examples for ing-theme-matplotlib +Provides: python3-ing-theme-matplotlib-doc +%description help +# ing-theme-matplotlib + +[](https://opensource.org/licenses/Apache-2.0) +[](https://pypi.org/project/ing-theme-matplotlib/) +[](https://pypi.org/project/ing-theme-matplotlib/) +[](https://img.shields.io/pypi/dm/ing_theme_matplotlib) + +`ing_theme_matplotlib` is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) and [`seaborn`](https://github.com/mwaskom/seaborn) style that allows you to create your plots using ING colors and ING Me font. It was adapted from the [`qbstyles`](https://github.com/quantumblacklabs/qbstyles) package. + +Dark style | Light style +|-----------|----------- | +|  |  | + +## Installation + +```bash +pip install ing_theme_matplotlib +``` + +## Usage + +You can use the dark Matplotlib style theme in the following way: + +```python +from ing_theme_matplotlib import mpl_style +``` +```python +mpl_style(dark=True) +``` + +And to use the light Matplotlib style theme, you can do the following: + +```python +from ing_theme_matplotlib import mpl_style +``` +```python +mpl_style(dark=False) +``` +> ⚠️ Make sure to run `from ing_theme_matplotlib import mpl_style` and `mpl_style()` in **different cells** as shown above. See [this issue](https://github.com/jupyter/notebook/issues/3691). + +## Adding ING Logo + +Assume that below is the function we use for plotting; + +```python +def line_plot(ax): + rng = np.random.RandomState(4) + x = np.linspace(0, 10, 500) + y = np.cumsum(rng.randn(500, 4), 0) + ax.set_title('Line Graph') + ax.set_xlabel('— Time') + ax.set_ylabel('— Random values') + ax.plot(x, y, label = ['Bitcoin', 'Ethereum', 'Dollar', 'Oil']) + ax.legend(['Bitcoin', 'Ethereum', 'Dollar', 'Oil'], loc = 1, fontsize = 'medium') + ax.set_xlim([0, 10]) + ax.set_ylim([-20, 60]) + ax.figure.set_figwidth(16) + ax.figure.set_figheight(8) + ax.spines['right'].set_position(('axes', 1.05)) + ax.spines['right'].set_color('none') +``` + +You can add the default ing logo to your plot by calling add_logo function inside the plotting function. + +```python +from ing_theme_matplotlib.mpl_style import add_logo +``` +```python +mpl_style() +line_plot(add_logo()) +``` + + + +You can also add custom logos to your plot by giving the path where the image is located. + +```python +from ing_theme_matplotlib.mpl_style import add_logo +``` +```python +mpl_style(dark = False) +line_plot(add_logo(bottom_left = 'ing_theme_matplotlib/logos/RPAA_Logo_RGB_Line.png')) +``` + + + +For more examples see [`ExamplePlots.ipynb`](ExamplePlots.ipynb). + +## Seaborn Usage + +Similar to above, you can implement plots in Seaborn. The main difference is how the logo is added. + +```python +mpl_style(dark = False) +def bar_plot(): + logo = add_logo() + tips = sns.load_dataset("tips") + ax = sns.barplot(x="tip", y="day", data=tips, ax=logo.axes) + +bar_plot() +``` + + + +For more examples see [Example Seaborn Plots.ipynb](Example Seaborn Plots.ipynb). + + +## Supported chart types + +- Line plots +- Scatter plots +- Bubble plots +- Bar charts +- Pie charts +- Histograms and distribution plots +- 3D surface plots +- Stream plots +- Polar plots + +## plt.Figure() + +It is important to note that we use `plt.Figure_ING()` in place of `plt.Figure()` due to changes in Matplotlib version 3.4.1. +As `plt.subplots()` works smoothly, it is best to stick to that methodology. + +## What licence do we use? + +ING Style plotting is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). +`ing-theme-matplotlib` is forked from [qbstyles](https://github.com/quantumblacklabs/qbstyles). + +%prep +%autosetup -n ing-theme-matplotlib-0.1.8 + +%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-ing-theme-matplotlib -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.8-1 +- Package Spec generated |