Metadata-Version: 2.1
Name: limonata
Version: 0.0.2
Summary: A marvellous resource for giving your plots the perfect touch of color they deserve.
Home-page: https://github.com/sarraahr/limonata
Author: Sarah Sobotta, Can Demircan
Author-email: sarah.sobotta@gmx.de
License: Apache Software License 2.0
Keywords: color palettes plotting matplotlib aesthetic
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

# limonata

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

## Install

Using `pip`:

``` sh
pip install limonata
```

## How to use

You can currently set a “nature” or a “city” palette. These are palettes
we created from pictures we took. Use the following functions to set a
palette:

``` python
from limonata import set_city_palette
set_city_palette("TuebingenClassic")
```

![](nbs/index_files/figure-commonmark/cell-2-output-1.png)

Or you can see which palettes are available with the following
functions:

``` python
from limonata import show_nature_palettes
show_nature_palettes()
```

![](nbs/index_files/figure-commonmark/cell-3-output-1.png)

![](nbs/index_files/figure-commonmark/cell-3-output-2.png)

![](nbs/index_files/figure-commonmark/cell-3-output-3.png)

![](nbs/index_files/figure-commonmark/cell-3-output-4.png)

![](nbs/index_files/figure-commonmark/cell-3-output-5.png)

![](nbs/index_files/figure-commonmark/cell-3-output-6.png)

![](nbs/index_files/figure-commonmark/cell-3-output-7.png)

See the documentation [here](https://sarraahr.github.io/limonata) for
more details and examples.
