[ANN] XKCDMakie.jl

Package Announcements
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Finally, a worthy competitor to Matplotlib’s xkcd mode

Introducing XKCDMakie, a new Makie.jl “backend” that produces figures with a hand-drawn look and feel.

demo
demo1200×900 113 KB

Code for this figure 
using Pkg
Pkg.add(url="https://github.com/aryavorskiy/XKCDMakie.jl")
using XKCDMakie

fig = Figure()
xs = 0:0.1:10
lines(fig[1, 1], xs, sin.(xs), axis=(;title="Line plots"), linestyle=:dash)
lines!(fig[1, 1], xs, -sin.(xs), color=xs)
textlabel!(fig[1, 1], Point2f(5, 0), "Sinewaves")

hist(fig[1, 2], randn(1000), normalization=:pdf,
    axis=(;limits=((-5, 5), nothing), title="Histograms and annotations"))
n_pdf(x) = 1/sqrt(2pi) * exp(-x^2/2)
annotation!(fig[1, 2], 3.5, n_pdf(0) / 2, 3, n_pdf(3), text = "3 sigma\n limit",
    path = Ann.Paths.Arc(-0.4), style = Ann.Styles.LineArrow(), labelspace = :data)

xs = LinRange(0, 2pi, 15)
ys = LinRange(0, 3pi, 10)
us = [sin(x) * cos(y) for x in xs, y in ys]
vs = [-cos(x) * sin(y) for x in xs, y in ys]
strength = vec(sqrt.(us .^ 2 .+ vs .^ 2))
arrow_fun(x) = Point2f(sin(x[1])*cos(x[2]), -cos(x[1])*sin(x[2]))
arrows2d(fig[2, 1:2], xs, ys, arrow_fun, lengthscale = 0.3, color = strength,
        axis=(;title="And even arrow plots!"))
fig

The idea was discussed earlier, so I decided to share what I managed to do on this part. I had a lot of fun working on this.

Also, I used no AI (otherwise what’s the fun?). This piece of slop was lovingly handcrafted.

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That’s so cool! What an awesome package.

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Awesome!! This will be so useful for presentations.