datashader-019-pipeline

What problem does it solve?

Pipeline for generating high-density 2D CMD plots from massive datasets using datashader 0.19.0, Dask for lazy loading, and matplotlib for final rendering.

Core Features & Use Cases

• Efficient large-scale rendering: creates density plots (CMD, hexbin-like rendering) from hundreds of thousands to tens of millions of points without loading everything into memory.
• Column-selective data loading: leverages Dask to read only needed columns from parquet or similar storage, enabling scalable workflows.
• Use Case: visualize stellar CMDs across large surveys, enabling quick exploration of color-magnitude distributions and density gradients.

Quick Start

Run the datashader-019-pipeline to render a CMD density plot from your dataset.