# Statworx Theme
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A color theme plugin for the [matplotlib](https://matplotlib.org/) library and all its derivatives, as well as an optional adaption of this theme for [altair](https://altair-viz.github.io/) and [plotly](https://plotly.com/python/), which automatically applies the official statworx color theme.
This package also registers commonly used [qualitative color maps](https://matplotlib.org/stable/tutorials/colors/colormaps.html) (such as a fade from good to bad) for use in presentations.
![Sample](./docs/assets/sample.svg)
## Quick Start
Simply install a module with `pip` by using the following command.
```console
pip install statworx-theme
```
For usage of altair and plotly extra dependencies need to be installed using pip.
```console
pip install "statworx-theme[altair]"
pip install "statworx-theme[plotly]"
```
For using the styles inside a poetry managed project use `poetry add` with extras.
```console
#only matplotlib
poetry add statworx-theme
# altair theme
poetry add statworx-theme -E "altair"
# plotly theme
poetry add statworx-theme -E "plotly"
# Whole package
poetry add statworx-theme -E "altair plotly"
```
To apply the matplotlib style, you must call the `apply_style` function by typing:
```python
from statworx_theme import apply_style
apply_style()
```
For applying the plotly or altair style the respective `apply_style_<library>` function is used:
```python
from statworx_theme import apply_style_altair, apply_style_plotly
apply_style_altair()
apply_style_plotly()
```
## Gallery
#### Matplotlib
There is an extensive gallery of figures that use the Statworx theme that you can draw inspiration from. You can find it [here](https://statworx-theme.readthedocs.io/en/latest/gallery.html).
For a figure gallery using the altair and plotly theme see the respective notebooks inside the [repository](https://github.com/STATWORX/statworx-theme/tree/master/notebooks).
![Sample](./docs/assets/gallery.png)
## Custom Colors
You can also use a custom list of color for the color scheme beside the official statworx colors.
There is a convenience function for that which is described below.
This simply changes the colors.
##### Matplotlib
In case you want to change the entire style you should implement your own `.mplstyle` file (see [this](https://matplotlib.org/stable/tutorials/introductory/customizing.html)).
```python
from statworx_theme import apply_custom_colors
custom_colors = [
DARK_BLUE := "#0A526B",
DARK_RED := "#6B0020",
GREY := "#808285",
]
apply_custom_colors(custom_colors)
```
#### Altair
```python
from statworx_theme import apply_custom_colors_altair
custom_colors = [
DARK_BLUE := "#0A526B",
DARK_RED := "#6B0020",
GREY := "#808285",
]
apply_custom_colors_altair(category=custom_colors)
```
#### Plotly
```python
from statworx_theme import apply_custom_colors_plotly
custom_colors = [
DARK_BLUE := "#0A526B",
DARK_RED := "#6B0020",
GREY := "#808285",
]
apply_custom_colors_plotly(category=custom_colors)
```
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"description": "# Statworx Theme\n\n[![PyPI version](https://badge.fury.io/py/statworx-theme.svg)](https://badge.fury.io/py/statworx-theme)\n[![Documentation Status](https://readthedocs.org/projects/statworx-theme/badge/?version=latest)](https://statworx-theme.readthedocs.io/en/latest/?badge=latest)\n[![Release](https://github.com/STATWORX/statworx-theme/actions/workflows/release.yml/badge.svg)](https://github.com/STATWORX/statworx-theme/actions/workflows/release.yml)\n[![Code Quality](https://github.com/STATWORX/statworx-theme/actions/workflows/conde_quality.yml/badge.svg)](https://github.com/STATWORX/statworx-theme/actions/workflows/conde_quality.yml)\n[![Python version](https://img.shields.io/badge/python-3.8-blue.svg)](https://pypi.org/project/kedro/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/STATWORX/statworx-theme/blob/master/LICENSE)\n![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)\n\nA color theme plugin for the [matplotlib](https://matplotlib.org/) library and all its derivatives, as well as an optional adaption of this theme for [altair](https://altair-viz.github.io/) and [plotly](https://plotly.com/python/), which automatically applies the official statworx color theme.\nThis package also registers commonly used [qualitative color maps](https://matplotlib.org/stable/tutorials/colors/colormaps.html) (such as a fade from good to bad) for use in presentations.\n\n![Sample](./docs/assets/sample.svg)\n\n## Quick Start\n\nSimply install a module with `pip` by using the following command.\n\n```console\npip install statworx-theme\n```\n\nFor usage of altair and plotly extra dependencies need to be installed using pip.\n\n```console\npip install \"statworx-theme[altair]\"\npip install \"statworx-theme[plotly]\"\n```\n\nFor using the styles inside a poetry managed project use `poetry add` with extras.\n```console\n#only matplotlib\npoetry add statworx-theme\n\n# altair theme\npoetry add statworx-theme -E \"altair\"\n\n# plotly theme\npoetry add statworx-theme -E \"plotly\"\n\n# Whole package\npoetry add statworx-theme -E \"altair plotly\"\n```\n\n\nTo apply the matplotlib style, you must call the `apply_style` function by typing:\n\n```python\nfrom statworx_theme import apply_style\napply_style()\n```\n\nFor applying the plotly or altair style the respective `apply_style_<library>` function is used:\n```python\nfrom statworx_theme import apply_style_altair, apply_style_plotly\napply_style_altair()\napply_style_plotly()\n```\n\n\n## Gallery\n\n#### Matplotlib\nThere is an extensive gallery of figures that use the Statworx theme that you can draw inspiration from. You can find it [here](https://statworx-theme.readthedocs.io/en/latest/gallery.html).\nFor a figure gallery using the altair and plotly theme see the respective notebooks inside the [repository](https://github.com/STATWORX/statworx-theme/tree/master/notebooks).\n\n![Sample](./docs/assets/gallery.png)\n\n## Custom Colors\n\nYou can also use a custom list of color for the color scheme beside the official statworx colors.\nThere is a convenience function for that which is described below.\nThis simply changes the colors.\n\n##### Matplotlib\nIn case you want to change the entire style you should implement your own `.mplstyle` file (see [this](https://matplotlib.org/stable/tutorials/introductory/customizing.html)).\n\n```python\nfrom statworx_theme import apply_custom_colors\n\ncustom_colors = [\n DARK_BLUE := \"#0A526B\",\n DARK_RED := \"#6B0020\",\n GREY := \"#808285\",\n]\napply_custom_colors(custom_colors)\n```\n\n#### Altair\n\n```python\nfrom statworx_theme import apply_custom_colors_altair\n\ncustom_colors = [\n DARK_BLUE := \"#0A526B\",\n DARK_RED := \"#6B0020\",\n GREY := \"#808285\",\n]\napply_custom_colors_altair(category=custom_colors)\n```\n\n#### Plotly\n\n```python\nfrom statworx_theme import apply_custom_colors_plotly\ncustom_colors = [\n DARK_BLUE := \"#0A526B\",\n DARK_RED := \"#6B0020\",\n GREY := \"#808285\",\n]\napply_custom_colors_plotly(category=custom_colors)\n```\n",
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