Adjusting padding between axis and axisticklabel in gridded layout

Specific Domains Visualization
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1

This question is about being able to adjust the space between ticklabels and their corresponding axis lines in the default GR backed for Plots.jl.

Consider:

using Plots, Plots.Measures
minx, miny, N = 300, 300, 16

Plots.plot([Plots.plot(margin=0) for i in range(1,N*N)]..., layout=(N,N), 
           size=N.*(minx,miny), margin=0mm, ytickfonthalign=:left, dpi=200)

This generates a gridded layout as expected, except there is a humungous amount of space between the yticklabels and the y-axis. Funnily enough ytickfonthalign=:left actually reduces the space and ytickfonthalign=:left increases it. But more importantly, as you increase N the said spacing between the ticklabels and their axis actually keeps increasing.

Does anyone know how to reduce it? Setting negative margins didn’t help.

2

For such a large number of subplots, while that gr() backend bug is not fixed, it is best to use the plotly() backend.

Example:

using Measures, Plots; plotly()
N = 16
l = @layout grid(N, N)
plot(rand(10,N*N), layout=l, tickfontsize=5, margin=1mm, size=(200,200).*N)
3

Thanks for this.

How do I save to PDF with the plotly backend?

It seems I can only save to HTML file format? Everything else keeps giving me this unhelpful error message:

julia> t=LinRange(0, 4π, 200);
julia> pp = plot(t, sin.(t))
julia> savefig(pp, "testfile.pdf")
ERROR: MethodError: no method matching _show(::IOStream, ::MIME{Symbol("application/pdf")}, ::Plots.Plot{Plots.PlotlyBackend})
Closest candidates are:
  _show(::IO, ::MIME{Symbol("application/pdf")}, ::Plots.Plot{Plots.GRBackend}) at ~/.julia/packages/Plots/9Q9pN/src/backends/gr.jl:2028
  _show(::IO, ::MIME{Symbol("application/vnd.plotly.v1+json")}, ::Plots.Plot{Plots.PlotlyBackend}) at ~/.julia/packages/Plots/9Q9pN/src/backends/plotly.jl:1102
  _show(::IO, ::MIME{Symbol("text/html")}, ::Plots.Plot{Plots.PlotlyBackend}) at ~/.julia/packages/Plots/9Q9pN/src/backends/plotly.jl:1105
  ...

I have fiddled around with the plotlyjs backend and it only got more complicated.

4

If you will, open a new thread for a new topic.