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I'd love to have a better answer for this kind of thing: https://stackoverflow.com/questions/58990657/python-how-do-i-find-inspect-what-kind-of-arguments-a-function-accepts
Some thoughts:
- The constructors of all the
graph_objects
that accept**kwargs
should include an entry for this in the docstring. - Wherever we accept another graph_object (e.g.
marker
ingo.Scatter
) the docstring could mention that you can also tomarker_whatever
? - Wherever we accept
**kwargs
, the docstring for that item should contain some self-contained explanation of what magic-underscores are and a link to the relevant docs. Minimally something like "for any other arguementx
in this function which accepts agraph_object
, you may usex_y
wherey
is a valid property of the correspondinggraph_object
." - For generic methods like update/add etc we should mention the name of the relevant graph_object whose properties are accepted, so that they show up in the Sphinx doc and provide a trail that users can follow. E.g. in https://plot.ly/python-api-reference/generated/plotly.graph_objects.Figure.html#plotly.graph_objects.Figure.update_xaxes we should mention in
patch
andkwargs
that the relevant attributes are to be found inplotly.graph_objects.layout.Xaxis
etc.
@emmanuelle thoughts?