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Although the example given uses rs.DataSeries, this is really an issue with the call signature for rs.DataSet.reset_index() (this can be seen in the TypeError message in the provided example). When rs.DataSeries.reset_index() is called without drop=True, it automatically converts to a rs.DataSet, leading to this issue.
There were changes to the API of reset_index() in pandas >1.5, so we will need to update our codebase to be compatible with the new call signatures.
With pandas version 2.0.3 and rs 1.0.1, calling
reset_index
on aDataSeries
instance leads to a type error.This doesn't happen with the underlying
pandas
Series
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