Examples

A bunch of examples of things you can do with fleur:

Group comparison

DefaultColorsOrientationHide statisticsHide chart elements

# mkdocs: render
from fleur import BetweenStats
from fleur import datasets

df = datasets.load_iris()

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

# mkdocs: render
from fleur import BetweenStats
from fleur import datasets

df = datasets.load_iris()

BetweenStats(df["sepal_length"], df["species"]).plot(
   colors=["#005f73", "#ee9b00", "#9b2226"]
)

# mkdocs: render
from fleur import BetweenStats
from fleur import datasets

df = datasets.load_iris()

BetweenStats(df["sepal_length"], df["species"]).plot(
   orientation="horizontal"
)

# mkdocs: render
from fleur import BetweenStats
from fleur import datasets

df = datasets.load_iris()

BetweenStats(df["sepal_length"], df["species"]).plot(
  show_stats=False
)

# mkdocs: render
from fleur import BetweenStats
from fleur import datasets

df = datasets.load_iris()

BetweenStats(df["sepal_length"], df["species"]).plot(
  box=False,
  scatter=False,
)

Correlation

DefaultBinsColorsConfidence intervalHide statistics

# mkdocs: render
from fleur import ScatterStats
from fleur import datasets

df = datasets.load_iris()

ScatterStats(x=df["sepal_length"], y=df["sepal_width"]).plot()

# mkdocs: render
from fleur import ScatterStats
from fleur import datasets

df = datasets.load_iris()

ScatterStats(x=df["sepal_length"], y=df["sepal_width"]).plot(
    bins=25
)

# mkdocs: render
from fleur import ScatterStats
from fleur import datasets

df = datasets.load_iris()

ScatterStats(x=df["sepal_length"], y=df["sepal_width"]).plot(
    scatter_kws=dict(color="#c1121f", edgecolor="black"),
    line_kws=dict(color="#c1121f"),
    hist_kws=dict(color="#c1121f"),
)

# mkdocs: render
from fleur import ScatterStats
from fleur import datasets

df = datasets.load_iris()

ScatterStats(x=df["sepal_length"], y=df["sepal_width"], ci=99).plot()

# mkdocs: render
from fleur import ScatterStats
from fleur import datasets

df = datasets.load_iris()

ScatterStats(x=df["sepal_length"], y=df["sepal_width"]).plot(
  show_stats=False
)