How To Produce Ultra-Compact Vector Graphic Plots With Orthogonal Distance Fitting
📰 Towards Data Science
Produce ultra-compact vector graphic plots using orthogonal distance fitting to minimize file size while maintaining quality
Action Steps
- Apply orthogonal distance fitting to your data using a library like scipy
- Use the fitted curves to generate SVG plots with minimal file size
- Configure the ODF algorithm to balance accuracy and compactness
- Test the resulting plots for quality and file size
- Optimize the plots further by adjusting parameters like curve complexity
Who Needs to Know This
Data scientists and developers can benefit from this technique to optimize their visualizations and improve webpage loading times
Key Insight
💡 Orthogonal distance fitting can be used to generate high-quality, compact vector graphic plots by fitting Bézier curves to data
Share This
📊 Minimize SVG file size without sacrificing quality using orthogonal distance fitting! 💻
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