How can I optimize my Seaborn heatmap for better performance?
To optimize your Seaborn heatmap, consider reducing the size of your dataset, using lower resolution images, and adjusting the color palette.
What are some specific techniques to reduce dataset size?
You can sample your data, aggregate it, or filter out less important features to reduce the dataset size.
Are there any specific color palettes that are more efficient?
Yes, using built-in color palettes like 'viridis' or 'plasma' can be more efficient as they are optimized for performance.
How can I visualize large datasets without losing detail?
You can use techniques like clustering or heatmap interpolation to visualize large datasets while preserving detail.
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