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Working in Python, I have a pandas DataFrame df. The DataFrame df comes from a groubpy and hence has multilevel columns. df has a hundred groups (index), a dozen base columns (level 0) and a dozen agregation function (level 1) which is a bit tedious to go trough.

I'd like a more interactive way to explore the agregated DataFrame by level (0 or 1). That is I'd like an html display that would allow to select a value for level 0 or 1 and show the df filtered on this level. Is there and easy way to do that ?

Yes i could code the filter myself, but the goal of this is to provide non-coding user a way to explore the data in an html report.

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You can try plotly tables and save it as html file. Here is an example: Interactive filtering data table in Plotly by using a dropdown.

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