Conditional kernel density estimate

seaborn components used: set_theme(), load_dataset(), displot()

import seaborn as sns
sns.set_theme(style="whitegrid")

# Load the diamonds dataset
diamonds = sns.load_dataset("diamonds")

# Plot the distribution of clarity ratings, conditional on carat
sns.displot(
    data=diamonds,
    x="carat", hue="cut",
    kind="kde", height=6,
    multiple="fill", clip=(0, None),
    palette="ch:rot=-.25,hue=1,light=.75",
)