Tables.jl `wrapdims` doesn't work on `StructArray`

[jariji]

It works on DataFrame but not StructArray.

using AxisKeys, DataFrames, StructArrays

julia> wrapdims(DataFrame(a=[1,1,2,2], b=[:x, :y, :x, :y], c=[10, 20, 30, 40]), :c, :a, :b)
2-dimensional KeyedArray(NamedDimsArray(...)) with keys:
↓   a ∈ 2-element Vector{Int64}
→   b ∈ 2-element Vector{Symbol}
And data, 2×2 Matrix{Int64}:
      (:x)  (:y)
 (1)  10    20
 (2)  30    40

julia> wrapdims(StructArray(a=[1,1,2,2], b=[:x, :y, :x, :y], c=[10, 20, 30, 40]), :c, :a, :b)
ERROR: ArgumentError: wrong number of names, got (:c, :a, :b) with ndims(A) == 1
Stacktrace:
 [1] check_names(A::StructVector{@NamedTuple{…}, @NamedTuple{…}, Int64}, names::Tuple{Symbol, Symbol, Symbol})
   @ AxisKeys ~/.julia/packages/AxisKeys/sYP4R/src/wrap.jl:103
 [2] wrapdims(::StructVector{@NamedTuple{…}, @NamedTuple{…}, Int64}, ::Symbol, ::Symbol, ::Symbol)
   @ AxisKeys ~/.julia/packages/AxisKeys/sYP4R/src/wrap.jl:85
 [3] top-level scope

[aplavin]

It's the "array vs table" confusion yet again. Tables.jl tables can be arbitrary types, and it's impossible to distinguish them from arrays (because arrays can be tables). So, any package attempting to handle both in the same function comes to this kind of confusion – another issue I remember because I filed it is JuliaArrays/StructArrays.jl#278.
According to the docs, wrapdims takes either a table or an array to wrap, and for StructArray it dispatches to the array version.

[jariji]

I see, wrapdims(::StructArray, ...) dispatches to wrapdims(::AbstractArray, ...). Then I think exporting

wraptable(table, value, names...; kw...) = _wrap_table(KeyedArray, identity, table, value, names...; kw...)

would be a solution.

julia> let table = StructArray(a=[1,1,2,2], b=[:x, :y, :x, :y], c=[10, 20, 30, 40])
           value = :c
           names = (:a, :b)
           kw = (;)
           AxisKeys._wrap_table(KeyedArray, identity, table, value, names...; kw...)
       end
2-dimensional KeyedArray(NamedDimsArray(...)) with keys:
↓   a ∈ 2-element Vector{Int64}
→   b ∈ 2-element Vector{Symbol}
And data, 2×2 Matrix{Int64}:
      (:x)  (:y)
 (1)  10    20
 (2)  30    40

[aplavin]

Good point! Maybe that new wraptable can become the recommended way to go from table to KA, and also include fixes for #168 and #105 without any breaking changes.