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dtynn avatar dtynn commented on August 22, 2024

Hi alex
I read the issues and find this:

We want to be able to apply functions to both rows and columns over a DataFrame. The dimension of the returned Series should be compatible with each other. Additionally, when applying functions over rows, since we can't expect the columns to be all of the same type, we will have to cast the types.

so maybe the output is as expected ?
if so, please close the issue~

from gota.

kniren avatar kniren commented on August 22, 2024

Yeah, when using Rapply you cannot expect the aggregate function to rename the functions for you. The type casting is a necessity as well and working as intended.

If your aggregate function intends to return the same number of rows and you want to keep the column name you should rename the dataframe accordingly.

Thank you for the comment! If you disagree with the current behaviour feel free to continue the discussion here, for the time being I'm closing this issue.

Best,
Alex

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