Adding a Global Title to Plots.jl Subheadings
I would like to add a global title to a subheading group using Plots.jl.
Ideally I would do something like:
using Plots
pyplot()
plot(rand(10,2), plot_title="Main title", title=["A" "B"], layout=2)
but according to the Plots.jl documentation , the attribute plot_title
is not yet implemented:
Title for the entire chart (not subheadings) (Note: Not currently implemented)
Meanwhile, is there any way around it?
I am currently using the backend pyplot
, but I am not particularly attached to it.
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When using the backend, pyplot
you can use commands pyplot
to change the shape Plots
, cf. Accessing backend related functionality with Julia plots .
To set a title for the entire shape, you can do something like:
using Plots
p1 = plot(sin, title = "sin")
p2 = plot(cos, title = "cos")
p = plot(p1, p2, top_margin=1cm)
import PyPlot
PyPlot.suptitle("Trigonometric functions")
PyPlot.savefig("suptile_test.png")
Must be called explicitly PyPlot.savefig
to see the effect of the functions pyplot
.
Please note that all changes made using the interface pyplot
will be overwritten when using the function Plots
.
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subplots
are type fields Plot
, and each subheading has a field named :attr
that you can change and modify the display()
graph. Try the following:
julia> l = @layout([a{0.1h} ;b [c; d e]])
Plots.GridLayout(2,1)
julia> p = plot(randn(100,5),layout=l,t=[:line :histogram :scatter :steppre :bar],leg=false,ticks=nothing,border=false)
julia> p.subplots
5-element Array{Plots.Subplot,1}:
Subplot{1}
Subplot{2}
Subplot{3}
Subplot{4}
Subplot{5}
julia> fieldnames(p.subplots[1])
8-element Array{Symbol,1}:
:parent
:series_list
:minpad
:bbox
:plotarea
:attr
:o
:plt
julia> for i in 1:length(p.subplots)
p.subplots[i].attr[:title] = "subtitle $i"
end
julia> display(p)
You should now see the title in each subplot
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This is a bit of a hack, but it shouldn't depend on the backend. Basically, create a new graph with the title you want as the only content and then add it at the top using layout
. Here's an example using the backend GR
:
# create a transparent scatter plot with an 'annotation' that will become title
y = ones(3)
title = Plots.scatter(y, marker=0,markeralpha=0, annotations=(2, y[2], Plots.text("This is title")),axis=false, leg=false,size=(200,100))
# combine the 'title' plot with your real plots
Plots.plot(
title,
Plots.plot(rand(100,4), layout = 4),
layout=grid(2,1,heights=[0.1,0.9])
)
Produces:
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