Rugplot - Seaborn — ContextQMD

Add a rug along one of the axes:

python

import seaborn as sns; sns.set_theme()
tips = sns.load_dataset("tips")
sns.kdeplot(data=tips, x="total_bill")
sns.rugplot(data=tips, x="total_bill")

Add a rug along both axes:

python

sns.scatterplot(data=tips, x="total_bill", y="tip")
sns.rugplot(data=tips, x="total_bill", y="tip")

Represent a third variable with hue mapping:

python

sns.scatterplot(data=tips, x="total_bill", y="tip", hue="time")
sns.rugplot(data=tips, x="total_bill", y="tip", hue="time")

Draw a taller rug:

python

sns.scatterplot(data=tips, x="total_bill", y="tip")
sns.rugplot(data=tips, x="total_bill", y="tip", height=.1)

Put the rug outside the axes:

python

sns.scatterplot(data=tips, x="total_bill", y="tip")
sns.rugplot(data=tips, x="total_bill", y="tip", height=-.02, clip_on=False)

Show the density of a larger dataset using thinner lines and alpha blending:

python

diamonds = sns.load_dataset("diamonds")
sns.scatterplot(data=diamonds, x="carat", y="price", s=5)
sns.rugplot(data=diamonds, x="carat", y="price", lw=1, alpha=.005)