Best method to show and edit a DataFrame in Parametrization?

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1

Hi Team,

In my app, I generate a Pandas DataFrame with three columns: "Row", "Column", and "Label". This DataFrame is based on user inputs earlier in the app flow.

I would like to display this table in the Parametrization view so that users can edit only the "Label" column, while "Row" and "Column" remain visible but read-only.

What would be the best method to achieve this kind of editable table behavior in the Parametrization?

2

Hi Jules, the product currently does not support a (partially) read-only table on the input side.

You could set a fully editable input table using a SetParamsButton: User input, fields and buttons - Action buttons | VIKTOR Documentation

Also there is a TableView : Results & visualizations - Data & tables | VIKTOR Documentation, which is read-only

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