the initial plan

[j-fu]

I want to do my Winter21/22 Scientific Computing lecture based on this, so I probably will have this in late summer 2021. Any acceleration depends on volunteers.

I now prefer plotly over canvas for the 1D plots.

Basic APIs are vector/matrix based. GeometryBasics based stuff on top of that if needed.

Isoline/isosurface/slice code is available from GridVisualize.jl

• [x] join plotly and vtk APIs

• [x] 1D API/Plotly

  • [x] plot(x,y, kwargs...)
  • [x] semilogx(x,y, kwargs...) (via x/y scale kwarg)
  • [x] semilogy(x,y, kwargs...) (via x/y scale kwarg)
  • [x] loglog(x,y, kwargs...) (via x/y scale kwarg)

• [x] 2D API/vtk.js: Combination of PyPlot-like contour and contourf

  • [x] contour(x,y,f, kwargs...) based on tricontour
  • [x] tricontour(xy,tri,f; kwargs...)
  • [x] colorbar via canvas
  • [x] trimesh(xy,tri;kwargs...)
  • [x] quiver2d(xy, v)

• [ ] 3D API/vtk.js

  • [ ] contour(x,y,z,f; kwargs...) based on tetcontour
  • [x] tetcontour(xyz,tet,f; kwargs...)
  • [x] tetmesh(xyz,tet; kwargs)
  • [x] colorbar via canvas
  • [ ] quiver3d(xyz, v)

• [ ] nice to have

  • [ ] surface(x,y,f, kwargs...), trisurface(xy,tri,f, kwargs...) via vtk.js
  • [x] Compatibility with GridVisualize
  • [ ] Several plots in a row
  • [ ] PNG/SVG download
  • [ ] Streamline plots

EDIT: updated 2021-06-03, 2021-06-22, 2021-08-18, 2021-10-14