Given that Plots.jl supports Plotly as a backend — and can generate the requisite key-value blobs that Dash needs — it'd be very nice to use that as the unified plotting API as an easy path. And this is really easy to support. All we need is this one line of code:
import Dash, Plots
Dash.DashBase.to_dash(p::Plots.Plot{Plots.PlotlyBackend}) = (data = Plots.plotly_series(p), layout = Plots.plotly_layout(p))So it'd be great if we could wire up Plots as a weakdep (with both Requires for v1.8 and below and Extensions on v1.9+) and define that very simple line of code, which enables very straightforward usage like this:
app = Dash.dash()
app.layout = Dash.html_div() do
Dash.html_h1("Dash 🤝 Plots"),
Dash.dcc_graph(id = "test", figure= Plots.plot(1:10, rand(10)))
end
Given that Plots.jl supports Plotly as a backend — and can generate the requisite key-value blobs that Dash needs — it'd be very nice to use that as the unified plotting API as an easy path. And this is really easy to support. All we need is this one line of code:
So it'd be great if we could wire up Plots as a weakdep (with both Requires for v1.8 and below and Extensions on v1.9+) and define that very simple line of code, which enables very straightforward usage like this: