Usage

To use plotting functions of seaborn_extensions in a project:

from seaborn_extensions import clustermap, swarmboxenplot

Simple examples:

import pandas as pd
from seaborn_extensions import swarmboxenplot

data = pd.DataFrame(
    {"cont": np.random.random(20), "cat": np.random.choice(["a", "b"], 20)}
)
data.loc[data["cat"] == "b", "cont"] *= 5

# A categorical variable vs a continuous variable
fig, stats = swarmboxenplot(data=data, x='cat', y='cont')

# A categorical variable vs a continuous variable stratified by another categorical variable
fig, stats = swarmboxenplot(data=data, x='cat', y='cont', hue='h')

# Plot of a categorical vs multiple continuous variables
data['cont1'] = data['cont'] + np.random.random(20)
data['cont2'] = data['cont'] + np.random.random(20)
fig, stats = swarmboxenplot(data=data, x='cat', y=['cont1', 'cont2'], hue='h')

Check out the complete API at the API Reference section.