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docs for aggregation over grouped array-like elements #3425

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docs for aggregation over grouped array-like elements #3425

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16 changes: 16 additions & 0 deletions src/abstractdataframe/selection.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -1665,6 +1665,22 @@ julia> combine(gd, :, AsTable(Not(:a)) => sum, renamecols=false)
7 │ 4 1 4 5
8 │ 4 1 8 9
```

# aggregation over array-like elements
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It is not aggregation specific. @nalimilan - what would be the best comment here?
Maybe:

# protecting vectors returned from a function from being expanded into multiple rows

(but it seems long, but maybe it is OK)

```jldoctest
julia> df = DataFrame(a=[1, 1, 2, 2],
b=[[1, 2], [2, 3], [3, 4], [4, 5]]);

julia> gd = groupby(df, :a);

julia> combine(gd, :b => Ref∘sum)
2×2 DataFrame
Row │ a b_Ref_sum
│ Int64 Array…
─────┼──────────────────
1 │ 1 [3, 5]
2 │ 2 [7, 9]
```
"""
combine(df::AbstractDataFrame, @nospecialize(args...);
renamecols::Bool=true, threads::Bool=true) =
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