Using opacityscale with surface results in ordering by addition order, not depth
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Descripción
Hi all, been using plotly with R for a while now and really loving it - thanks for assembling such a phenomenal program! I'd like to report a bug found while plotting multiple surface objects, which causes them to layer in the order they're added rather than the "depth" at which they should really render in the figure. See this codepen for code and examples, which are also rendered below as screenshots.
I previously posted in ropensci/plotly, but have since learned enough Javascript to assemble the codepen and the issue persists, making me think it's not an R problem. There's also no discussion of the new "opacityscale" feature there and a lively discussion here, making me hopeful that more people will have some idea how I might fix this if it isn't a bug.
This is great:

This is less great (same figure rotated to look from below):

It seems that the surface that renders always on "top" is the one that's added last in the data array. If we alter the above code a little bit to render the top layer surface before the middle one, we get some more interesting results:
Plotly.newPlot('graphDivReorderOpac', [data_z1, data_z3, data_z2]); rather than Plotly.newPlot('graphDivReorderOpac', [data_z1, data_z2, data_z3]);


Apologies for the repetitive code in the codepen - I really did learn just enough JS to make this one and will be hiding behind R wrappers in the future.
Guía de contribución
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- Lee el issue completo y luego la guía de contribución del proyecto.
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- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza con el CodePen enlazado y los ejemplos de superficies con opacityscale, comparando los dos órdenes de trazas y el renderizado resultante desde arriba y desde abajo. Sigue la ruta de renderizado de superficies responsable del orden de profundidad; el trabajo estará terminado cuando las superficies superpuestas se rendericen según su profundidad en lugar del orden del array de datos, preservando el ejemplo funcional sin opacityscale.
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Evaluación
- Stack tecnológico
- javascript
- Área
- data-visualization
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 35/100