14. Visualization with seaborn
14.4 Seaborn vs matplotlib
| Prefer seaborn when… | Prefer matplotlib when… |
|---|---|
| Category comparisons with hue | Fully custom layout / dual axis |
| Quick statistical aggregates | Exact control of every artist |
| Working straight from tidy DataFrame | Building a multi-panel dashboard figure |
You can always reach ax and finish labels in matplotlib style.
Practice task
Plot a barplot of sum of amount by city with hue="festival". Which city-festival pair leads in this sample?
Thodkyaat sangaycha tar (quick recap)
- seaborn = tidy DataFrame → attractive category plots fast
- countplot / barplot / boxplot + hue cover most EDA visuals
- Still save via matplotlib
fig.savefig
Samajla ka? Aata pudhe jaauya chart choice and storytelling.