Comments (2)
I think the problem is that if you groupBy a specific column, there's no way you can tell which value the other columns must have unless we change the aggregate API.
I have a same problem, imagine a dataframe like
|name| height | weight| age|
and you do df.groupBy('name').aggregate(group=>group.stat.sum('age'))
what would you do with height and weight? a sum? a mean?
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I was quite confused at the time i made this rather stupid question. I apologize...
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