I want to make an interactive plot with sliders, where the displayed data changes when my sliders get moved. That seems to work when the observable plotted is an array of positions. But is it possible if the observable is something else, say a dataframe? For example, this works nicely (adapted fro…

[image] jm4h: scatter!(fig[1,1:2], data[][1], data[][2] When you do this, you disable the observable functionality because you grab the plain array from inside the observable. Plots can only update automatically if they are passed observables. If you have a dataframe that should send updates…

Those are great suggestions, thanks for the ideas! That’s exactly what I was looking for. It would be nice if scatter!() had some sort of simpler syntax that would work for dataframe observable columns, or in general for quantities derived from observables. Maybe something along the lines of plot …

As a complement for other readers, the relevant section of the manual is Observables & Interaction .

Thanks again! That’s what I was trying to do originally, but I couldn’t find the magic incantation for getting the dataframe column from the observable inside @lift. Using your example line gives me: fig = Figure() ax = Axis(fig[1,1]) df_obs = Observable(DataFrame(x = [1, 2, 3], y = [4, 5, 6])) sc…

In the macro you mark all expressions that should evaluate to an observable with $ and then you don’t have to specifically extract their value as well, just like you work with the extracted values inside the lift function itself.

Plotting with Observables in Makie

Specific Domains Visualization

jules November 9, 2021, 9:18pm 4

That’s kind of what the @lift macro is for, you could also plot scatter(@lift($df_obs.some_column)) I think

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Plotting with Observables in Makie

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