Seaborn

Seaborn is a high-level wrapper around Matplotlib. It makes statistical plots (violins, heatmaps, pairs) easy.

When to Use

• Statistical Data Visualization: Producing clear distribution plots, regression curves, and correlation heatmaps.
• Multi-Plot Categorical Comparisons: Visualizing complex distributions with boxplot, violinplot, and catplot.
• Modern Object Interface (sns.objects): Clean grammar of graphics visualization inspired by ggplot2.
• Pairwise Feature Exploration: Rapidly identifying variable correlations and cluster separations with pairplot.

Quick Start

import seaborn as sns
import matplotlib.pyplot as plt

# Load sample dataset and plot regression with confidence interval
tips = sns.load_dataset("tips")