Charting: Python Static Visualizations Select the optimal Python charting library and produce clean, publication-quality output. Library Selection Framework Choose the library based on what the visualization represents, not habit. Seaborn — DEFAULT for statistical/analytical charts Seaborn wraps matplotlib with better defaults, tighter pandas integration, and fewer lines of code. Reach for seaborn first when the data lives in a DataFrame and the goal is analytical. Use for: distributions (histograms, KDEs, violin plots, ECDFs), categorical comparisons (box plots, swarm plots, strip plots, bar…