File: multiple_conditional_kde.py

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seaborn 0.13.2-5
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"""
Conditional kernel density estimate
===================================

_thumb: .4, .5
"""
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",
)