Downsampling vs. Rasterization for Large-Scale Dataset Rendering
When rendering datasets with millions of points in Matplotlib (version 3.0+), the primary constraint is balancing render speed and final file size against the preservation of visual fidelity. Two documented strategies exist to bound the rendering cost for vector backends like PDF or SVG. Data Reduction Downsampling via array slicing (e.g., x[::k] ) or binnin