Metadata-Version: 2.4
Name: fleur
Version: 0.0.3
Summary: Description
Author-email: Joseph Barbier <joseph.barbierdarnal@gmail.com>
License-Expression: MIT
Project-URL: Homepage, https://y-sunflower.github.io/fleur/
Project-URL: Issues, https://github.com/y-sunflower/fleur/issues
Project-URL: Documentation, https://y-sunflower.github.io/fleur/
Project-URL: Repository, https://github.com/y-sunflower/fleur
Keywords: stats,visualization
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.10
Requires-Dist: narwhals>=1.41.0
Requires-Dist: scipy>=1.13.1
Dynamic: license-file

# Correlation


<!-- Automatically generated, uses README.qmd to modify README.md -->

![Coverage](coverage-badge.svg)

# `fleur`: stats and plots holding hands

`fleur` provides a set of tools to combine data visualization with
statistics.

> fleur is still in a very early stage and in beta version: expect
> regular breaking changes.

[Documentation website](https://y-sunflower.github.io/fleur/)

<br>

## Quick start

### Group comparison

``` python
from fleur import BetweenStats
from fleur import datasets

df = datasets.load_iris()

fig = BetweenStats(df["sepal_length"], df["species"]).plot()
```

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

``` python
from fleur import ScatterStats
from fleur import datasets

df = datasets.load_iris()

fig = ScatterStats(df["sepal_length"], df["sepal_width"]).plot()
```

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

<br><br>

## Installation

``` bash
pip install fleur
```

<br><br>
