How do Seaborn and Matplotlib compare in terms of performance?

How do Seaborn and Matplotlib compare in terms of performance?

Seaborn is built on top of Matplotlib and is generally easier to use for statistical plots. However, Matplotlib can be more performant for complex visualizations.

What factors affect the performance of these libraries?

Factors include the complexity of the data, the type of visualizations, and the rendering backend used. Seaborn's abstractions can sometimes add overhead.

Which library is better for large datasets?

For large datasets, Matplotlib might be more efficient as it allows for more control over rendering. Seaborn can be slower due to its higher-level abstractions.

Can you give examples of when to use each library?

Use Seaborn for quick, attractive statistical plots and Matplotlib for detailed, customized visualizations or when performance is critical.