Dynamic generation of a Plotly diagram from Python code

[ggrossetie]

My proposal is to use an Asciidoctor extension to process Python source block that includes an exec option and a target attribute.

[source%exec,python,target=result1]
----
import plotly.express as px

fig = px.line(x=["a","b","c"], y=[1,3,2], title="sample figure")
fig.show()
----

[#result1]
--
--

If the result should always be displayed after the source block, we can remove the target attribute.

[source%exec,python]
----
import plotly.express as px

fig = px.line(x=["a","b","c"], y=[1,3,2], title="sample figure")
fig.show()
----

// the result will be displayed here

[ggrossetie]

[ggrossetie]

Do you want to create a dedicated repository for Asciidoctor extensions? Alternatively, I can create this extension in https://github.com/feelpp/book.feelpp.org/tree/develop/lib

[ggrossetie]

In the example above, I'm using pd.read_csv with a remote URL rather than acsv=fpp.download("github:{repo:feelpp,path:toolboxes/fluid/cases/moving_body/gravity/cylinder_under_gravity/curve_comparison.csv}", worldComm=app.worldCommPtr())[0] in order to reduce the number of dependencies needed to generate a Plotly chart.

[prudhomm]

Regarding extension i am fine with a specific repository @ggrossetie

[prudhomm]

It all seems very good otherwise