## 6.6 Using LaTeXStrings.jl

LaTeX support in Makie.jl is also available via LaTeXStrings.jl:

using LaTeXStrings

Simple use cases are shown below (Figure 16). A basic example includes LaTeX strings for x-y labels and legends:

function LaTeX_Strings()
x = 0:0.05:4π
lines(x, x -> sin(3x) / (cos(x) + 2) / x;
label=L"\frac{\sin(3x)}{x(\cos(x)+2)}",
figure=(; resolution=(600, 400)), axis=(; xlabel=L"x")
)
lines!(x, x -> cos(x) / x; label=L"\cos(x)/x")
lines!(x, x -> exp(-x); label=L"e^{-x}")
limits!(-0.5, 13, -0.6, 1.05)
axislegend(L"f(x)")
current_figure()
end
with_theme(LaTeX_Strings, publication_theme())

A more involved example will be one with an equation as text and increasing legend numbering for curves in a plot:

function multiple_lines()
x = collect(0:10)
fig = Figure(resolution=(600, 400), font="CMU Serif")
ax = Axis(fig[1, 1], xlabel=L"x", ylabel=L"f(x,a)")
for i = 0:10
lines!(ax, x, i .* x; label=latexstring("$(i) x")) end axislegend(L"f(x)"; position=:lt, nbanks=2, labelsize=14) text!(L"f(x,a) = ax", position=(4, 80)) fig end JDS.multiple_lines() Where latexstring from LaTeXStrings.jl has been used to parse the string. An alternative to this simple case is L"%$i x", which is used in the next example.

But, before that, there is another problem, some lines have repeated colors and that’s no good. Adding some markers and line styles usually helps. So, let’s do that using Cycles for these types. Setting covary=true allows to cycle all elements together:

function multiple_scatters_and_lines()
x = collect(0:10)
cycle = Cycle([:color, :linestyle, :marker], covary=true)
set_theme!(Lines=(cycle=cycle,), Scatter=(cycle=cycle,))
fig = Figure(resolution=(600, 400), font="CMU Serif")
ax = Axis(fig[1, 1], xlabel=L"x", ylabel=L"f(x,a)")
for i in x
lines!(ax, x, i .* x; label=L"%$i x") scatter!(ax, x, i .* x; markersize=13, strokewidth=0.25, label=L"%$i x")
end
axislegend(L"f(x)"; merge=true, position=:lt, nbanks=2, labelsize=14)
text!(L"f(x,a) = ax", position=(4, 80))
set_theme!() # reset to default theme
fig
end
JDS.multiple_scatters_and_lines()

And voilà. A publication quality plot is here. What more can we ask for? Well, what about different default colors or palettes. In our next section, we will see how to use again Cycles and learn a little bit more about them, plus some additional keywords in order to achieve this.

CC BY-NC-SA 4.0 Jose Storopoli, Rik Huijzer, Lazaro Alonso