Resalta observaciones individuales con Rugplot

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import seaborn as sns
import matplotlib.pyplot as plt

diamonds = sns.load_dataset("diamonds").sample(300, random_state=0)

fig, ax = plt.subplots(figsize=(6, 3.5))
sns.kdeplot(data=diamonds, x="price", ax=ax, color="#0ea5e9")
sns.rugplot(data=diamonds, x="price", ax=ax, color="#1d4ed8", alpha=0.4)

ax.set_xlabel("Precio ($)")
ax.set_ylabel("Densidad")
ax.set_title("Precios de diamantes: KDE + Rugplot")
ax.grid(alpha=0.2)

fig.tight_layout()

plt.show()