Seaborn Cheat Sheet

import seaborn as snsimport matplotlib.pyplot as pltsns.set_theme(style="whitegrid")sns.scatterplot(data=df, x="total_bill", y="tip", hue="time", size="size")sns.lineplot(data=df, x="date", y="value", hue="category")sns.histplot(data=df, x="age", bins=30, kde=True)plt.show()

sns.boxplot(data=df, x="day", y="total_bill", hue="sex")sns.violinplot(data=df, x="day", y="total_bill")sns.barplot(data=df, x="day", y="total_bill", estimator="mean", errorbar="ci")sns.countplot(data=df, x="day")

sns.pairplot(df, hue="species")                 # matrix of pairwise plotscorr = df.corr(numeric_only=True)sns.heatmap(corr, annot=True, cmap="coolwarm", vmin=-1, vmax=1)sns.regplot(data=df, x="x", y="y")                # scatter + regression line