GridVisualize.jl

Author j-fu
Popularity
14 Stars
Updated Last
11 Months Ago
Started In
January 2021

Build status

GridVisualize

Plotting companion module for ExtendableGrids.jl Provides grid and scalar piecewise linear function plotting for various plotting backends on simplicial grids in one, two or three space dimensions. The main supported backends are PyPlot, GLMakie and PlutoVista.

Disclaimer

The code is rather new and quite a few codepaths are untested. Please be prepared to help fixing things.

Sample usage:

Plotting a grid, a function or a vector field

gridplot(grid, Plotter=PyPlot)
scalarplot(grid, function,Plotter=PyPlot)
vectorplot(grid, vectorfunction,Plotter=PyPlot)
streamplot(grid, vectorfunction,Plotter=PyPlot)

This works for 1/2/3D grids and either a function represented by its values on the nodes of the grid, or a scalar function of 1, 2 or 3 variables, respectively. Vector plots are currenly available for 2D only, and stream plots only for PyPlot.

Plot appearance can be tweaked by a number of keyword arguments.

Plotters

Plotters can be e.g. Plots, PyPlot, GLMakie, PlutoVista - we pass the module exported by the package. Different plotters can be used at the same time.

Multiple plots in one plotting window

vis=GridVisualizer(Plotter=GLMakie, layout=(1,2))
gridplot!(vis[1,1],grid)
scalarplot!(vis[1,2],grid,function)
reveal(vis)

Transient plots

This using fast updating via observables for GLMakie and persistent divs with PlutoVista.

vis=GridVisualizer(Plotter=GLMakie)
for i=1:N
   function=calculate(i)
   scalarplot!(vis,grid,function)
   reveal(vis)
end

Movies

Currently, these can be recorded with GLMakie, CairoMakie and Plots backends both from the REPL and Pluto notebooks. MP4 files and gifs can be created. PyPlot possibly will follow.

This shows the animated graphic in the REPL (essentially the same as above) and creates an embedded video in a Pluto notebook:

vis=GridVisualizer(Plotter=Plots)
movie(vis) do vis
  for i=1:N
     function=calculate(i)
     scalarplot!(vis,grid,function)
     reveal(vis)
  end
end

To save to a file instead of showing in a notebooks or from the REPL , use:

vis=GridVisualizer(Plotter=CairoMakie)
movie(vis, file="video.mp4") do vis
  for i=1:N
     function=calculate(i)
     scalarplot!(vis,grid,function)
     reveal(vis)
  end
end

Setting a default plotter

Instead of specifying a Plotter in calls to GridVisualizer, gridplot or scalarplot, a default plotter can be set:

default_plotter!(PyPlot)
gridplot(grid)
scalarplot(grid, function)

or

default_plotter!(GLMakie)
vis=GridVisualizer(layout=(1,2))
gridplot!(vis[1,1],grid)
scalarplot!(vis[1,2],grid,function)

Switching off plotting

Just pass Plotter=nothing in the respective places, or set default_plotter!(nothing) and all plotting functions will do nothing.

Available plotting backends and functionality.

  • 'y': available
  • 'i': some level of interactive control
  • '(y)': availability only on rectangular grids
  • 'p': planned (no schedule though)
  • 'n': probably not, also in the future
PyPlot Makie PlutoVista Plots VTKView
scalarplot, 1D y y y,i y y
vectorplot, 1D y y y y y
gridplot, 1D y y y y
scalarplot, 2D y y y (y) y,i
vectorplot, 2D y y y y
streamplot, 2D y p p
gridplot, 2D y y,i y (y) y,i
scalarplot, 3D y y,i y,i n y,i
gridplot, 3D y y,i y,i n y,i
vectorplot, 3D p p p n
streamplot, 3D p p n
movie n y n y

Sample output

PyPlot:

GLMakie:

Plots/gr:

VTKView:

vscode

Plotting into the plot pane of Visual Studio Code is working. Here, you can use WGLMakie as backend. This works only with the mutating functions, i.e. you should use something like

vis=GridVisualizer(Plotter=WGLMakie)
gridplot!(vis,grid,clear=true,show=true)

Notebooks

Pluto

Plotting in Pluto notebooks for PyPlot, Plots, GLMakie is working.

Plotting in Pluto notebooks can use PlutoVista.jl based on plotly.js (1D) and vtk.js (2/3D). See the example notebook: pluto, html.

Jupyter

Chances are that things work with Jupyter as well. Please ping me if you would like to volunteer with testing and possibly fixing this.