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a la groupby-aggregate
I don't know whether this is a separate issue but a similar request would be to be able to use a non-unique 1d index for groupby.
If I have a MultiIndex I can do df.groupby(level = 'A'), but if the index is only 'A' I have to drop the index and then group by the column.
My concrete use case in this context is df.groupby(level='A').first() where 'A' is the index. It fails whenever I happen to have a 1d index.