using Distributions
function plothistogram(distribution, n)
ϵ = rand(distribution, n) # n draws from distribution
histogram(ϵ, label = "ϵ")
end
lp = Laplace()
plothistogram(lp, 500)
By works I mean that (1) the HTML that is generated by jupinx displays the label correct, (2) the generated jupyter notebooks do as well; and (3) no ugly warnings show up.
The latest versions of GR might support using unicode labels. If so, we can slowly make transitions towards those.
But first lets verify that it is true in the whole pipeline.
Maybe on https://julia.quantecon.org/getting_started_julia/julia_by_example.html#A-Slightly-More-Useful-Function and see if something like the following works:
By works I mean that (1) the HTML that is generated by jupinx displays the label correct, (2) the generated jupyter notebooks do as well; and (3) no ugly warnings show up.