# `fleur`: combining statistics with visualization
<!-- Automatically generated, uses README.qmd to modify README.md -->
<img src="https://github.com/JosephBARBIERDARNAL/static/blob/main/python-libs/fleur/image.png?raw=true" alt="fleur logo" align="right" width="150px"/>
With `fleur` (_pronounced “flur”_), statistics and data visualization
are done at the same time. It’s meant as a modern tool for highly
detailed statistical annotations in plots with high customization
capabilities.
It’s lightweight in the sense that it only requires foundational
libraries: `matplotlib`, `scipy` and `narwhals`. Learn more [about
fleur](./about.md).
> [!WARNING] fleur is still in a very early stage: 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 data
df = data.load_iris()
BetweenStats(df["sepal_length"], df["species"]).plot()
```
### Correlation
```python
from fleur import ScatterStats
from fleur import data
df = data.load_iris()
ScatterStats(df["sepal_length"], df["sepal_width"]).plot()
```
<br><br>
## Installation
```bash
pip install fleur
```
<br><br>
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