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New charts wishlist

See original GitHub issue

The most requested feature in the plotly user survey has been “More chart types” 2 years in a row.

This issue inventories remaining chart types (or “traces” in plotly parlance) that are still requested for plotly.js and Chart Studio. Pipelines to make most of these charts already exists in Python and R by combining lower level plotly.js traces (lines, SVG shapes, bars, area fills, etc).

plotly.js trace types that do not exist yet

“Business charts”

Geo

  • County choropleths (w/o zoom for perf.) Example
  • Contours on maps (“weather maps”) Example
  • MapboxGL heatmap support Example

Scientific

Existing plotly.js traces which need Chart Studio integration

  • All polar trace types
  • histogram2dcontour
  • Sankey diagrams
  • All 2d WebGL trace types
  • Violin plots
  • All carpet plot trace types
  • pointcloud
  • Parallel coordinate plots
  • sploms
  • Chart types in “plotly.js trace types that do not exist yet” when finished

Issue Analytics

  • State:open
  • Created 6 years ago
  • Reactions:8
  • Comments:27 (18 by maintainers)

github_iconTop GitHub Comments

6reactions
etpinardcommented, Oct 2, 2019
5reactions
etpinardcommented, Oct 2, 2019

From @kiranshila in https://github.com/plotly/plotly.js/issues/4074


I think adding support to plot to Smith Charts would be extremely beneficial to everyone working in RF/Microwave engineering.

It basically is a modified polar plot with a Mobius transform mapping complex numbers onto a polar plane.

image

There are several implementations across a few plotting backends: PGFPlots has it in LaTeX, PySmithChart and Matplotlib have it in Python, it’s native in MATLAB, and InspectDR has it in Julia. But none of them implement interactability as well as the leading CAD software which utilizes Smith Charts in design work.

I think Plotly is perfect for this as it can provide a true cross-platform interactive means by which to visualize complex data for radio engineers.

I am more than happy to do a PR, I just need some guidance on how to start working on what is effectively a new axis type.

Read more comments on GitHub >

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