fleur: combining statistics with visualization
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.
[!WARNING] fleur is still in a very early stage: expect regular breaking changes.
Quick start
Group comparison
from fleur import BetweenStats
from fleur import data
df = data.load_iris()
BetweenStats(df["sepal_length"], df["species"]).plot()
Correlation
from fleur import ScatterStats
from fleur import data
df = data.load_iris()
ScatterStats(df["sepal_length"], df["sepal_width"]).plot()
Installation
pip install fleur
1 maintainer
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