%global _empty_manifest_terminate_build 0 Name: python-qbstyles Version: 0.1.4 Release: 1 Summary: QB styles for common plotting libraries License: Apache 2.0 URL: https://github.com/quantumblacklabs/qbstyles Source0: https://mirrors.aliyun.com/pypi/web/packages/56/65/b0a2f4b8ba3a110276c7d74b1e901f7ae4046b11ea2d493471a2e1858c73/qbstyles-0.1.4.tar.gz BuildArch: noarch Requires: python3-matplotlib %description # QB Styles [![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/qbstyles/) [![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/) [![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black) QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style. Dark style | Light style |-----------|----------- | | ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true "Line plot") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true "Distribution plot") | ## How do I install QB Styles? `qbstyles` is a Python package. To install it, simply run: ```bash pip install qbstyles ``` ## How do I use QB Styles? You can use the dark Matplotlib style theme in the following way: ```python from qbstyles import mpl_style mpl_style(dark=True) ``` And to use the light Matplotlib style theme, you can do the following: ```python from qbstyles import mpl_style mpl_style(dark=False) ``` ### How do I use QB Styles in Jupyter Notebooks? > ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details. ```python # first cell from qbstyles import mpl_style ``` ```python # second cell mpl_style() ``` ## What chart types can use QB Styles? - Line plots - Scatter plots - Bubble plots - Bar charts - Pie charts - Histograms and distribution plots - 3D surface plots - Stream plots - Polar plots ## Can you show me a few examples? To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice. ```python import matplotlib.pyplot as plt from qbstyles import mpl_style def plot(dark): mpl_style(dark) fig, axes = plt.subplots(2, 2, figsize=(15, 10)) # the following functions are defined in example.ipynb line_plot(axes[0, 0]) scatter_plot(axes[0, 1]) distribution_plot(axes[1, 0]) ax = plt.subplot(2, 2, 4, projection='polar') polar_plot(ax) plot(dark=True) ``` ![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true) ```python plot(dark=False) ``` ![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true) ## How do I create my own styles? Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise. To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows: ```python import matplotlib.pyplot as plt from qbstyles import mpl_style mpl_style() plt.style.use('./your-style.mplstyle') ``` All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file). ## What licence do you use? QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). %package -n python3-qbstyles Summary: QB styles for common plotting libraries Provides: python-qbstyles BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-qbstyles # QB Styles [![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/qbstyles/) [![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/) [![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black) QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style. Dark style | Light style |-----------|----------- | | ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true "Line plot") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true "Distribution plot") | ## How do I install QB Styles? `qbstyles` is a Python package. To install it, simply run: ```bash pip install qbstyles ``` ## How do I use QB Styles? You can use the dark Matplotlib style theme in the following way: ```python from qbstyles import mpl_style mpl_style(dark=True) ``` And to use the light Matplotlib style theme, you can do the following: ```python from qbstyles import mpl_style mpl_style(dark=False) ``` ### How do I use QB Styles in Jupyter Notebooks? > ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details. ```python # first cell from qbstyles import mpl_style ``` ```python # second cell mpl_style() ``` ## What chart types can use QB Styles? - Line plots - Scatter plots - Bubble plots - Bar charts - Pie charts - Histograms and distribution plots - 3D surface plots - Stream plots - Polar plots ## Can you show me a few examples? To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice. ```python import matplotlib.pyplot as plt from qbstyles import mpl_style def plot(dark): mpl_style(dark) fig, axes = plt.subplots(2, 2, figsize=(15, 10)) # the following functions are defined in example.ipynb line_plot(axes[0, 0]) scatter_plot(axes[0, 1]) distribution_plot(axes[1, 0]) ax = plt.subplot(2, 2, 4, projection='polar') polar_plot(ax) plot(dark=True) ``` ![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true) ```python plot(dark=False) ``` ![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true) ## How do I create my own styles? Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise. To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows: ```python import matplotlib.pyplot as plt from qbstyles import mpl_style mpl_style() plt.style.use('./your-style.mplstyle') ``` All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file). ## What licence do you use? QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). %package help Summary: Development documents and examples for qbstyles Provides: python3-qbstyles-doc %description help # QB Styles [![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/qbstyles/) [![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/) [![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black) QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style. Dark style | Light style |-----------|----------- | | ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true "Line plot") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true "Distribution plot") | ## How do I install QB Styles? `qbstyles` is a Python package. To install it, simply run: ```bash pip install qbstyles ``` ## How do I use QB Styles? You can use the dark Matplotlib style theme in the following way: ```python from qbstyles import mpl_style mpl_style(dark=True) ``` And to use the light Matplotlib style theme, you can do the following: ```python from qbstyles import mpl_style mpl_style(dark=False) ``` ### How do I use QB Styles in Jupyter Notebooks? > ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details. ```python # first cell from qbstyles import mpl_style ``` ```python # second cell mpl_style() ``` ## What chart types can use QB Styles? - Line plots - Scatter plots - Bubble plots - Bar charts - Pie charts - Histograms and distribution plots - 3D surface plots - Stream plots - Polar plots ## Can you show me a few examples? To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice. ```python import matplotlib.pyplot as plt from qbstyles import mpl_style def plot(dark): mpl_style(dark) fig, axes = plt.subplots(2, 2, figsize=(15, 10)) # the following functions are defined in example.ipynb line_plot(axes[0, 0]) scatter_plot(axes[0, 1]) distribution_plot(axes[1, 0]) ax = plt.subplot(2, 2, 4, projection='polar') polar_plot(ax) plot(dark=True) ``` ![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true) ```python plot(dark=False) ``` ![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true) ## How do I create my own styles? Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise. To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows: ```python import matplotlib.pyplot as plt from qbstyles import mpl_style mpl_style() plt.style.use('./your-style.mplstyle') ``` All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file). ## What licence do you use? QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). %prep %autosetup -n qbstyles-0.1.4 %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-qbstyles -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 0.1.4-1 - Package Spec generated