plotly / plotly/plotly.rs

Tracking: trace types not yet exposed in plotly.rs (plotly.js 3.7.0 parity)

Abierto
#422 3 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Lenguaje dominante
Rust
Estrellas
1.5k
Forks
128
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

Tracking: trace types not yet exposed in plotly.rs (plotly.js 3.7.0 parity)

Summary

Measured against the actively-supported trace types in plotly.js 3.7.0, plotly.rs exposes 27 of 46, leaving 19 unimplemented. This issue tracks the remaining trace types so contributions can be coordinated and duplicate work avoided.

plotly.js 3.7.0 defines 49 trace types, but 3 are deprecated (the Mapbox family — see below) and are excluded from the parity target. The list was generated by diffing the trace type tags plotly.rs can serialize (the PlotType enum) against the authoritative plot-schema.json shipped with plotly.js v3.7.0.

Note: this is trace-type coverage. Attribute-level parity for the already-implemented traces is being addressed separately in the plotly.js 3.7 attribute backfill work.

Deprecated in plotly.js 3.7.0 — excluded from parity (3)

These are deprecated upstream in favour of the MapLibre map subplot traces (migration guide):

Deprecated trace Recommended replacement plotly.rs status
scattermapbox scattermap both already exposed
densitymapbox densitymap both already exposed
choroplethmapbox choroplethmap replacement already exposed; deprecated trace not implemented (and won't be)

plotly.rs already ships every recommended map replacement, so there is no coverage gap here — no action needed. The two deprecated traces that are implemented (scattermapbox, densitymapbox) can be retained for back-compat and eventually deprecated in lockstep with upstream.

Currently exposed — actively-supported (27)

bar · box · candlestick · choropleth · choroplethmap · contour · densitymap · heatmap · histogram · histogram2dcontour · image · mesh3d · ohlc · pie · sankey · scatter · scatter3d · scattergeo · scattergl · scattermap · scatterpolar · scatterpolargl · sunburst · surface · table · treemap · violin

(plus the deprecated scattermapbox and densitymapbox, listed above)

Missing — actively-supported (19)

3D scientific / volumetric

  • cone — 3D vector / quiver fields
  • streamtube — 3D flow streamlines
  • isosurface — 3D isosurfaces from volume data
  • volume — 3D volume rendering

Carpet family (needs a shared carpet-axis abstraction)

  • carpet — base carpet axis system
  • contourcarpet — contours on a carpet axis
  • scattercarpet — scatter on a carpet axis

Cartesian statistical / financial

  • histogram2d — 2D histogram heatmap
  • funnel — funnel charts
  • waterfall — waterfall / bridge charts

Parallel-coordinate

  • parcoords — parallel coordinates (continuous)
  • parcats — parallel categories (categorical)

Specialized subplots

  • barpolar — bar charts on a polar axis (wind-rose)
  • scatterternary — scatter on a ternary (3-component) plot
  • scattersmith — scatter on a Smith chart (RF / impedance)

Hierarchical

  • icicle — icicle charts (sibling of sunburst / treemap)

Other

  • indicator — KPI gauges / number + delta displays
  • splom — scatter-plot matrix
  • funnelarea — funnel-area (pie-like funnel)
Suggested prioritization
  • Cheap wins — close siblings of existing traces that can reuse most of their building blocks: histogram2d (cf. histogram2dcontour / heatmap) and icicle (cf. sunburst / treemap).
  • High user demand — common business-chart types: indicator, funnel, waterfall, barpolar.
  • Larger effort — the carpet family (carpet + contourcarpet + scattercarpet) depends on first modelling a shared carpet-axis abstraction.
Notes for implementers

Adding a trace follows the established pattern (see CONTRIBUTING.md / CLAUDE.md):

  1. Create plotly/src/traces/<name>.rs, derive FieldSetter with #[field_setter(box_self, kind = "trace")].
  2. Add the corresponding PlotType variant (with the correct serde rename).
  3. Implement Trace::to_json, then re-export from traces/mod.rs and lib.rs.
  4. Add a serialize round-trip test and a CHANGELOG.md entry.

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comienza con CONTRIBUTING.md y CLAUDE.md, y después inspecciona un trace existente en plotly/src/traces/ y el enum PlotType. Elige un tipo de trace sin marcar y añade su módulo de trace, la variante del enum, las exportaciones, una prueba de round-trip de serialización y una entrada en CHANGELOG.md siguiendo el patrón establecido. Se considera terminado cuando el trace seleccionado está expuesto y se serializa correctamente.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
rust
Área
data-visualization
Tipo de issue
Nueva funcionalidad
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Tranquilo
Claridad
Bastante claro
Aptitud para principiantes
38/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.