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JackLacavaAnswer
Employee - Sage
Sep 22, 2026 2:41 PM UTC

 

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KGoldbach sends in a question about DataFrames and FDX asking if there's a way to work with DataFrames when using FDX. That's a great point. Unfortunately, at the moment FDX works with data tables only, but we should probably do something about that. I can't promise anything though. Just make sure you log your enhancement in IdeaStream and then we'll see what we can do.

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Employee - Sage
JackLacavaEmployee - SageAnswer
Employee - Sage
Sep 22, 2026 2:41 PM UTC

 

Transcript

KGoldbach sends in a question about DataFrames and FDX asking if there's a way to work with DataFrames when using FDX. That's a great point. Unfortunately, at the moment FDX works with data tables only, but we should probably do something about that. I can't promise anything though. Just make sure you log your enhancement in IdeaStream and then we'll see what we can do.

OneStream Employee
TomABCOneStream Employee
OneStream Employee
Sep 23, 2026 10:47 PM UTC

could you do the light weight pull with DataFrames then use To DataTables conversion of DataFrames to DataTables to allow work with FDX or is that overcomplicating the process?

Employee - Sage
JackLacavaEmployee - Sage
Employee - Sage
Sep 30, 2026 8:21 AM UTC

FDX calls are used to produce data, and they produce it as datatables only at this point. Once you have a populated datatable, you might want to convert it to a dataframe only in very specific cases (i.e. if pagination or slicing is required).

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