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+%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
+
+[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/ing-theme-matplotlib/)
+[![PyPI version](https://badge.fury.io/py/ing-theme-matplotlib.svg)](https://pypi.org/project/ing-theme-matplotlib/)
+[![downloads](https://img.shields.io/pypi/dm/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
+|-----------|----------- |
+| ![Scatter plot](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/e695ba1c207af8045d5117c8cb84690e/scatter_dark.png "Scatter plot") | ![Distribution plot](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/c649e6457e47ea70e21cf214b02180cb/dist_light.png "Distribution plot") |
+
+## 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())
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/0ac070fd674120ef8af60047b90e6018/line_dark_ing_logo.png)
+
+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'))
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/16c46cc17fc9e3492cf09bf9433d1c43/line_light_custom_logo.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()
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/021f2af73544222415fb1f57b0f3e138/barchart_light_logo.png)
+
+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
+
+[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/ing-theme-matplotlib/)
+[![PyPI version](https://badge.fury.io/py/ing-theme-matplotlib.svg)](https://pypi.org/project/ing-theme-matplotlib/)
+[![downloads](https://img.shields.io/pypi/dm/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
+|-----------|----------- |
+| ![Scatter plot](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/e695ba1c207af8045d5117c8cb84690e/scatter_dark.png "Scatter plot") | ![Distribution plot](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/c649e6457e47ea70e21cf214b02180cb/dist_light.png "Distribution plot") |
+
+## 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())
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/0ac070fd674120ef8af60047b90e6018/line_dark_ing_logo.png)
+
+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'))
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/16c46cc17fc9e3492cf09bf9433d1c43/line_light_custom_logo.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()
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/021f2af73544222415fb1f57b0f3e138/barchart_light_logo.png)
+
+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
+
+[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/ing-theme-matplotlib/)
+[![PyPI version](https://badge.fury.io/py/ing-theme-matplotlib.svg)](https://pypi.org/project/ing-theme-matplotlib/)
+[![downloads](https://img.shields.io/pypi/dm/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
+|-----------|----------- |
+| ![Scatter plot](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/e695ba1c207af8045d5117c8cb84690e/scatter_dark.png "Scatter plot") | ![Distribution plot](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/c649e6457e47ea70e21cf214b02180cb/dist_light.png "Distribution plot") |
+
+## 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())
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/0ac070fd674120ef8af60047b90e6018/line_dark_ing_logo.png)
+
+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'))
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/16c46cc17fc9e3492cf09bf9433d1c43/line_light_custom_logo.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()
+```
+
+![png](https://gitlab.com/ing_rpaa/ing_theme_matplotlib/uploads/021f2af73544222415fb1f57b0f3e138/barchart_light_logo.png)
+
+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