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This is equivalent to nested renaming, so like pandas, we have `koalas.NamedAgg` now for this:
```python
>>> aggregated = df.groupby('A').agg(b_max=ks.NamedAgg(column='B', aggfunc='max'))
>>> aggregated
b_max
A
1 2
2 4
```
Resolves#823
Pandas has put forward a named aggregation for groupby aggregation since 0.25.0, I am working on an implementation on this.
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