Examples¶

Live interactive demos. Each opens a standalone page rendered in the browser.

Start here¶

• Your first wafer map — minimal two-call example, no CSV
• Loading CSV data — parse and map real columnar data
• Geometry inference — omit die size and let the library infer it
• Partial data — anchoring the wafer centre for partial coverage, and why sparse data doesn't need it
• Bins and yield — named hard bins, pass/fail colours, yield label
• Test values — parametric measurements, spec limits, colorbar
• Retests — multi-touch probe sequences and retest policy

Interaction and control¶

• Display control — rotation, flip, plot mode, colour scheme
• Interaction API — hover, click, box-select, controller methods
• Lot gallery — card grid of multiple wafers with shared controls
• Web Worker — off-main-thread build for large datasets
• Custom colour schemes — register your own bin/value palette

Analysis and layout¶

• Statistical findings — ring, quadrant, cluster, edge-arc analysis
• Summary panel — persistent metadata and stats sidebar
• Lot-level findings — cross-wafer trend detection
• Lot-stack spatial analysis — mean/median/stddev maps across a lot
• Reticle overlays — photolithography field grid and reticle-position findings
• Real wafer data (WM-811K) — open dataset with 811 000 wafer records
• Mixed patterns (MixedWM38) — classified failure pattern dataset

Compatibility and advanced¶

• Rendering pipeline — low-level buildView / toCanvas pipeline
• wafermap vs Plotly.js — side-by-side render timings and feature comparison

Showcase — all features in one page, good for a quick overview once you know the basics.