Plot ticks at both top and bottom axis

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1

Hi,

Is there any way to plot both ‘top’ and ‘bottom’ x axis ticks using Plots.jl?

I’m thinking of something like this example from Matplotlib.

Thanks!

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2

I don’t think so

3

Wow that definitely was not the answer I was expecting haha

Do you see any way we could implement this feature? Would it be something that a newbie like me could try programming? Or is it too much low-level?

(I even tried some things with twinx() but couldn’t succeed…)

4

I think you could use PyPlot. Basically it is a wrapper for matplotlib. Hence, you should be able to do everything you do on matplotlib if I’m right. Take a look at PyPlot.jl

5

Thanks, I guess that’s indeed my best option right now

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6

But is there an option just to show the ticks on the top and right axis (without labels and numbers and the same interval as the left and bottom axis)?

7

This is an old post but something I stumbled with today and took me a bit to find a fix. Copying here something I put on an associated issue in Plots.jl github page (https://github.com/JuliaPlots/Plots.jl/issues/2218), just in case it can help someone.

Not a proper fix, but here is a workaround I found. I just create a twin axis in each direction, match the x and y boundaries and remove labels using a copy_ticks function.

function twiny(sp::Plots.Subplot)
    sp[:top_margin] = max(sp[:top_margin], 30Plots.px)
    plot!(sp.plt, inset = (sp[:subplot_index], bbox(0,0,1,1)))
    twinsp = sp.plt.subplots[end]
    twinsp[:xaxis][:mirror] = true
    twinsp[:background_color_inside] = RGBA{Float64}(0,0,0,0)
    Plots.link_axes!(sp[:yaxis], twinsp[:yaxis])
    twinsp
end
twiny(plt::Plots.Plot = current()) = twiny(plt[1])

function copy_ticks(sp::Plots.Subplot)
    ptx = twinx(sp)
    plot!(ptx,xlims=xlims(plt),ylims=ylims(plt),xformatter=_->"",yformatter=_->"")
    pty = twiny(sp)
    plot!(pty,xlims=xlims(plt),ylims=ylims(plt),xformatter=_->"",yformatter=_->"")
end
copy_ticks(plt::Plots.Plot = current()) = copy_ticks(plt[1])

plt = plot(sin)
copy_ticks()
display(plt)
savefig("sine.png")

This was built with code from two sources:

sine

8

Just realized the linked example is not exactly what I show here, but it can be easily adapted to do something similar to that matplotlib example

using Plots

function twiny(sp::Plots.Subplot)
    sp[:top_margin] = max(sp[:top_margin], 30Plots.px)
    plot!(sp.plt, inset = (sp[:subplot_index], bbox(0,0,1,1)))
    twinsp = sp.plt.subplots[end]
    twinsp[:xaxis][:mirror] = true
    twinsp[:background_color_inside] = RGBA{Float64}(0,0,0,0)
    Plots.link_axes!(sp[:yaxis], twinsp[:yaxis])
    twinsp
end
twiny(plt::Plots.Plot = current()) = twiny(plt[1])

function copy_ticks(sp::Plots.Subplot,xticks)
    ptx = twinx(sp)
    plot!(ptx,xlims=xlims(plt),ylims=ylims(plt),yformatter=_->"",xformatter=_->"", grid=false)
    pty = twiny(sp)
    plot!(pty,xlims=xlims(plt),ylims=ylims(plt),yformatter=_->"",xticks=xticks, grid=false)
end
copy_ticks(plt::Plots.Plot,xticks) = copy_ticks(plt[1],xticks)

plt = plot(sin, xlims=(0,2π))
copy_ticks(current(),([0,π/2,π,3π/2,2π],["0","π/2","π","3π/2","2π"]))
display(plt)
savefig("sine.png")

sine

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