docs

docs/Project.toml

@@ -7,6 +7,7 @@ DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DocumenterVitepress = "4710194d-e776-4893-9690-8d956a29c365"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
+MakieTeX = "6d554a22-29e7-47bd-aee5-0c5f06619414"
 PalmerPenguins = "8b842266-38fa-440a-9b57-31493939ab85"
 RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
 Rsvg = "c4c386cf-5103-5370-be45-f3a111cca3b8"

docs/src/examples/scales.md

@@ -1,3 +1,25 @@
-# Scaled beeswarm plots
+# Nonlinear beeswarm plots
+
+Beeswarm plots can be plotted in any combination of `xscale` and `yscale`.  
+
+Specifically, beeswarm plots are correct in any [separable transform](https://geo.makie.org/stable/nonlinear_transforms/#Nonlinear-but-separable) - basically, any transform in which the x and y coordinates are independent of each other.  This excludes most geographic transformations, but includes any transformation you can make using `xscale` and `yscale` in a Makie `Axis`.
+
+```@figure logscale
+using SwarmMakie, Makie
+data = randn(75) .+ 3
+fig = Figure()
+ax1 = Axis(fig[1, 1]; title = "No transform")
+beeswarm!(ax1, ones(75), data)
+ax2 = Axis(fig[1, 2]; title = "Log y axis", yscale = log10)
+beeswarm!(ax2, ones(75), data)
+fig
+```
+
+Note how the shape of the beeswarm is transformed in the left plot, because of the log scale.
+
+```@figure logscale
+ax2.xscale = Makie.pseudolog10
+ax2.title = "Log x and y axes"
+fig
+```
 
-Beeswarm plots can also be plotted in log-scale axes!

docs/src/examples/unconventional.md

@@ -10,7 +10,7 @@ You can use swarm plots to simply separate scatter markers which share the same
 using Base.MathConstants
 using CSV
 using DataFrames
-using AlgebraOfGraphics, SwarmMakie, CairoMakie
+using AlgebraOfGraphics, SwarmMakie, CairoMakie, MakieTeX
 using StatsBase, CategoricalArrays
 
 # Load benchmark data from file
@@ -152,31 +152,18 @@ f
 using Rsvg
 using CairoMakie
 using CairoMakie.Cairo, CairoMakie.FileIO
-
-function pngify(input_data::AbstractString)
-    r = Rsvg.handle_new_from_data(String(input_data));
-    Rsvg.handle_set_dpi(r, 2.0)
-    d = Rsvg.handle_get_dimensions(r);
-    img = fill(Makie.Colors.ARGB32(0, 0, 0, 0), d.width * 4, d.height * 4)
-    # create an image surface to draw onto the image
-    surf = Cairo.CairoImageSurface(img)
-    ctx = Cairo.CairoContext(surf);
-    Cairo.scale(ctx, 4, 4)
-    Rsvg.handle_render_cairo(ctx,r);
-    return permutedims(img)
-end
-
+using MakieTeX
 
 language_logo_url(lang::String) = "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/$(lowercase(lang))/$(lowercase(lang))-original.svg"
 
-language_marker_dict = Dict(
-    [key => read(download(language_logo_url(key)), String) |> pngify for key in ("c", "fortran", "go", "java", "javascript", "julia", "matlab", "python", "r", "rust")]
+language_marker_dict = Dict{String, Any}(
+    [key => read(download(language_logo_url(key)), String) |> MakieTeX.CachedSVG for key in ("c", "fortran", "go", "java", "javascript", "julia", "matlab", "python", "r", "rust")]
 )
 
 language_marker_dict["octave"] = FileIO.load(File{format"PNG"}(download("https://upload.wikimedia.org/wikipedia/commons/thumb/6/6a/Gnu-octave-logo.svg/2048px-Gnu-octave-logo.svg.png"))) .|> Makie.Colors.ARGB32  
 
-language_marker_dict["luajit"] = read(download(language_logo_url("lua")), String) |> pngify 
-language_marker_dict["mathematica"] = read(download("https://upload.wikimedia.org/wikipedia/commons/2/20/Mathematica_Logo.svg"), String) |> pngify 
+language_marker_dict["luajit"] = read(download(language_logo_url("lua")), String) |> MakieTeX.CachedSVG
+language_marker_dict["mathematica"] = read(download("https://upload.wikimedia.org/wikipedia/commons/2/20/Mathematica_Logo.svg"), String) |> MakieTeX.CachedSVG
 
 
 f, a, p = beeswarm(