Allow to pass multiple predicates in Cols and mix them with other selectors

NEWS.md

@@ -12,6 +12,9 @@
 * Add support for `operator` keyword argument in `Cols`
   to take a set operation to apply to passed selectors (`union` by default)
   ([3224](https://github.com/JuliaData/DataFrames.jl/pull/3224))
+* Allow to pass multiple predicates in `Cols` and mix them with
+  other selectors
+  ([3279](https://github.com/JuliaData/DataFrames.jl/pull/3279))
 * Improve support for setting group order in `groupby`
   ([3253](https://github.com/JuliaData/DataFrames.jl/pull/3253))
 * Joining functions now support `order` keyword argument allowing the user

src/other/index.jl

@@ -230,16 +230,16 @@ end
 @inline Base.getindex(x::AbstractIndex, idx::All) =
     isempty(idx.cols) ? (1:length(x)) : throw(ArgumentError("All(args...) is not supported: use Cols(args...) instead"))
 
+@inline _getindex_cols(x::AbstractIndex, idx::Any) = x[idx]
+@inline _getindex_cols(x::AbstractIndex, idx::Function) = findall(idx, names(x))
+# the definition below is needed because `:` is a Function
+@inline _getindex_cols(x::AbstractIndex, idx::Colon) = x[idx]
+
 @inline function Base.getindex(x::AbstractIndex, idx::Cols)
     isempty(idx.cols) && return Int[]
-    return idx.operator(getindex.(Ref(x), idx.cols)...)
+    return idx.operator(_getindex_cols.(Ref(x), idx.cols)...)
 end
 
-# the definition below is needed because `:` is a Function
-@inline Base.getindex(x::AbstractIndex, idx::Cols{Tuple{typeof(:)}}) = x[:]
-@inline Base.getindex(x::AbstractIndex, idx::Cols{<:Tuple{Function}}) =
-    findall(idx.cols[1], names(x))
-
 @inline function Base.getindex(x::AbstractIndex, idx::AbstractVector{<:Integer})
     if any(v -> v isa Bool, idx)
         throw(ArgumentError("Bool values except for AbstractVector{Bool} are not " *

test/index.jl

@@ -477,8 +477,10 @@ end
     @test df[:, Cols(x -> x[1] == 'a')] == df[:, [1, 2]]
     @test df[:, Cols(x -> x[end] == '1')] == df[:, [1, 3]]
     @test df[:, Cols(x -> x[end] == '3')] == DataFrame()
-    @test_throws ArgumentError df[:, Cols(x -> true, 1)]
-    @test_throws ArgumentError df[:, Cols(1, x -> true)]
+    @test df[:, Cols(x -> true, 1)] == df
+    @test df[:, Cols(1, x -> true)] == df
+    @test df[:, Cols(x -> true, 1, operator=intersect)] == DataFrame(a1=1)
+    @test df[:, Cols(1, x -> true, operator=intersect)] == DataFrame(a1=1)
 
     @test ncol(select(df, Cols(operator=intersect))) == 0
     @test ncol(df[:, Cols(operator=intersect)]) == 0
@@ -539,8 +541,20 @@ end
     @test df[:, Cols(x -> x[1] == 'a', operator=intersect)] == df[:, [1, 2]]
     @test df[:, Cols(x -> x[end] == '1', operator=intersect)] == df[:, [1, 3]]
     @test df[:, Cols(x -> x[end] == '3', operator=intersect)] == DataFrame()
-    @test_throws ArgumentError df[:, Cols(x -> true, 1, operator=intersect)]
-    @test_throws ArgumentError df[:, Cols(1, x -> true, operator=intersect)]
+    @test df[:, Cols(x -> true, 1, operator=intersect)] == df[:, 1:1]
+    @test df[:, Cols(1, x -> true, operator=intersect)] == df[:, 1:1]
+
+    @test df[:, Cols(startswith("a"), endswith("2"))] ==
+          select(df, Cols(startswith("a"), endswith("2"))) ==
+          df[:, ["a1", "a2", "b2"]]
+    @test df[:, Cols(startswith("a"), endswith("2"), operator=intersect)] ==
+          df[:, Cols(startswith("a"), :, endswith("2"), operator=intersect)] ==
+          select(df, Cols(startswith("a"), endswith("2"), operator=intersect)) ==
+          df[:, ["a2"]]
+    @test df[:, Cols(startswith("a"), endswith("2"), operator=setdiff)] ==
+          select(df, Cols(startswith("a"), endswith("2"), operator=setdiff)) ==
+          df[:, ["a1"]]
+    @test df[:, Cols(startswith("a"), endswith("2"), :, operator=setdiff)] == DataFrame()
 end
 
 @testset "views" begin