Joint kernel density estimate#
seaborn components used: set_theme()
, load_dataset()
, jointplot()
import seaborn as sns
sns.set_theme(style="ticks")
# Load the penguins dataset
penguins = sns.load_dataset("penguins")
# Show the joint distribution using kernel density estimation
g = sns.jointplot(
data=penguins,
x="bill_length_mm", y="bill_depth_mm", hue="species",
kind="kde",
)