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implement firstindex, lastindex, axes, size, and ndims consistently #2573

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implement firstindex, lastindex, axes, size, and ndims consistently #2573

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082cea9
implement firstindex, lastindex, axes, size, and ndims consistently
bkamins Dec 6, 2020
0662918
Merge branch 'master' into add_firstindex
bkamins Dec 7, 2020
d1bc031
add array interface support for all types
bkamins Dec 7, 2020
060f0f3
fix test
bkamins Dec 8, 2020
4f437d4
Apply suggestions from code review
bkamins Dec 8, 2020
2d96aa4
Update test/indexing.jl
bkamins Dec 8, 2020
9dae463
Update docs/src/lib/indexing.md
bkamins Dec 10, 2020
cd82db3
add selected firstindex and lastindex methods conditionally and impro…
bkamins Dec 12, 2020
84979de
Merge remote-tracking branch 'origin/add_firstindex' into add_firstindex
bkamins Dec 12, 2020
48a97c3
Update docs/src/lib/indexing.md
bkamins Dec 21, 2020
04d18c6
Update NEWS.md
bkamins Dec 22, 2020
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33 changes: 24 additions & 9 deletions docs/src/lib/indexing.md
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Expand Up @@ -238,12 +238,27 @@ The elements of a `GroupedDataFrame` are [`SubDataFrame`](@ref)s of its parent.
This table presents return value types of calling `names`, `propertynames` and `keys`
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on types exposed to the user by DataFrames.jl:

| Type | `names` | `propertynames` | `keys` |
|---------------------|------------------|------------------|------------------|
| `AbstractDataFrame` | `Vector{String}` | `Vector{Symbol}` | undefined |
| `DataFrameRow` | `Vector{String}` | `Vector{Symbol}` | `Vector{Symbol}` |
| `DataFrameRows` | `Vector{String}` | `Vector{Symbol}` | vector of `Int` |
| `DataFrameColumns` | `Vector{String}` | `Vector{Symbol}` | `Vector{Symbol}` |
| `GroupedDataFrame` | `Vector{String}` | tuple of fields | `GroupKeys` |
| `GroupKeys` | undefined | tuple of fields | vector of `Int` |
| `GroupKey` | `Vector{String}` | `Vector{Symbol}` | `Vector{Symbol}` |
| Type | `names` | `propertynames` | `keys` | `length` | `ndims` |
|---------------------|------------------|------------------|------------------|-----------|---------|
| `AbstractDataFrame` | `Vector{String}` | `Vector{Symbol}` | undefined | undefined | `2` |
| `DataFrameRow` | `Vector{String}` | `Vector{Symbol}` | `Vector{Symbol}` | `Int` | `1` |
| `DataFrameRows` | `Vector{String}` | `Vector{Symbol}` | vector of `Int` | `Int` | `1` |
| `DataFrameColumns` | `Vector{String}` | `Vector{Symbol}` | `Vector{Symbol}` | `Int` | `1` |
| `GroupedDataFrame` | `Vector{String}` | tuple of fields | `GroupKeys` | `Int` | `1` |
| `GroupKeys` | undefined | tuple of fields | vector of `Int` | `Int` | `1` |
| `GroupKey` | `Vector{String}` | `Vector{Symbol}` | `Vector{Symbol}` | `Int` | `1` |

Additionally the above types `T` (i.e. `AbstractDataFrame`, `DataFrameRow`, `DataFrameRows`,
`DataFrameColumns`, `GroupedDataFrame`, `GroupKeys`, `GroupKey`) the following methods are defined:
* `size(::T)` returning a `Tuple` of `Int`.
* `size(::T, ::Integer)` returning an `Int`.
* `axes(::T)` returning a `Tuple` of `Int` vectors.
* `axes(::T, ::Integer)` returning an `Int` vector.
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* `firstindex(::T)` returning `1` (except `AbstractDataFrame` for which it is undefined).
* `firstindex(::T, ::Integer)` returning `1` for a valid dimension (except `DataFrameRows`
and `GroupKeys` for which `1` is also returned for a dimension higher than a valid one
because they are `AbstractVector`).
* `lastindex(::T)` returning `Int` (except `AbstractDataFrame` for which it is undefined).
* `lastindex(::T, ::Integer)` returning `Int` for a valid dimension (except `DataFrameRows`
and `GroupKeys` for which `1` is also returned for a dimension higher than a valid one
because they are `AbstractVector`).
1 change: 1 addition & 0 deletions src/abstractdataframe/abstractdataframe.jl
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Expand Up @@ -332,6 +332,7 @@ end

Base.isempty(df::AbstractDataFrame) = size(df, 1) == 0 || size(df, 2) == 0

Base.firstindex(df::AbstractDataFrame, i::Integer) = first(axes(df, i))
Base.lastindex(df::AbstractDataFrame, i::Integer) = last(axes(df, i))
Base.axes(df::AbstractDataFrame, i::Integer) = Base.OneTo(size(df, i))

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13 changes: 11 additions & 2 deletions src/abstractdataframe/iteration.jl
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Expand Up @@ -176,14 +176,23 @@ Base.IteratorSize(::Type{<:DataFrameColumns}) = Base.HasShape{1}()
Base.size(itr::DataFrameColumns) = (size(parent(itr), 2),)

function Base.size(itr::DataFrameColumns, d::Integer)
d < 1 && throw(ArgumentError("dimension out of range"))
return d == 1 ? size(itr)[1] : 1
d != 1 && throw(ArgumentError("dimension out of range"))
return size(itr)[1]
end

Base.ndims(::DataFrameColumns) = 1
Base.ndims(::Type{<:DataFrameColumns}) = 1

Base.length(itr::DataFrameColumns) = size(itr)[1]
Base.eltype(::Type{<:DataFrameColumns}) = AbstractVector

Base.firstindex(itr::DataFrameColumns) = 1
Base.lastindex(itr::DataFrameColumns) = length(itr)

Base.firstindex(itr::DataFrameColumns, i::Integer) = first(axes(itr, i))
Base.lastindex(itr::DataFrameColumns, i::Integer) = last(axes(itr, i))
Base.axes(itr::DataFrameColumns, i::Integer) = Base.OneTo(size(itr, i))
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Do we need these in the end given that a fallback was added to Base?

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this fallback is only in 1.6. I added it to have it also e.g. in 1.0 in case someone in the future uses these functions in user code explicitly.

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Maybe add a VERSION check? It's always nice to be able to remove code at some point in the future. :-)

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added - checking if I did it correctly is welcome ;). Thank you!

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@nalimilan - does the version check look good to you now?


Base.iterate(itr::DataFrameColumns, i::Integer=1) =
i <= length(itr) ? (itr[i], i + 1) : nothing
Base.@propagate_inbounds Base.getindex(itr::DataFrameColumns, idx::ColumnIndex) =
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5 changes: 5 additions & 0 deletions src/dataframerow/dataframerow.jl
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Expand Up @@ -376,8 +376,13 @@ Return the number of dimensions of a data frame row, which is always `1`.
Base.ndims(::DataFrameRow) = 1
Base.ndims(::Type{<:DataFrameRow}) = 1

Base.firstindex(r::DataFrameRow) = 1
Base.lastindex(r::DataFrameRow) = length(r)

Base.firstindex(r::DataFrameRow, i::Integer) = first(axes(r, i))
Base.lastindex(r::DataFrameRow, i::Integer) = last(axes(r, i))
Base.axes(r::DataFrameRow, i::Integer) = Base.OneTo(size(r, i))

Base.iterate(r::DataFrameRow) = iterate(r, 1)

function Base.iterate(r::DataFrameRow, st)
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28 changes: 27 additions & 1 deletion src/groupeddataframe/groupeddataframe.jl
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Expand Up @@ -380,7 +380,19 @@ function Base.iterate(gd::GroupedDataFrame, i=1)
end
end

Compat.lastindex(gd::GroupedDataFrame) = gd.ngroups
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Base.size(gd::GroupedDataFrame) = (length(gd),)
Base.size(gd::GroupedDataFrame, i::Integer) = size(gd)[i]

Base.ndims(::GroupedDataFrame) = 1
Base.ndims(::Type{<:GroupedDataFrame}) = 1

Base.firstindex(gd::GroupedDataFrame) = 1
Base.lastindex(gd::GroupedDataFrame) = gd.ngroups

Base.firstindex(gd::GroupedDataFrame, i::Integer) = first(axes(gd, i))
Base.lastindex(gd::GroupedDataFrame, i::Integer) = last(axes(gd, i))
Base.axes(gd::GroupedDataFrame, i::Integer) = Base.OneTo(size(gd, i))

Base.first(gd::GroupedDataFrame) = gd[1]
Base.last(gd::GroupedDataFrame) = gd[end]

Expand Down Expand Up @@ -457,6 +469,20 @@ end

Base.parent(key::GroupKey) = getfield(key, :parent)
Base.length(key::GroupKey) = length(parent(key).cols)

Base.size(key::GroupKey) = (length(key),)
Base.size(key::GroupKey, i::Integer) = size(key)[i]

Base.ndims(::GroupKey) = 1
Base.ndims(::Type{<:GroupKey}) = 1

Base.firstindex(key::GroupKey) = 1
Base.lastindex(key::GroupKey) = length(key)

Base.firstindex(key::GroupKey, i::Integer) = first(axes(key, i))
Base.lastindex(key::GroupKey, i::Integer) = last(axes(key, i))
Base.axes(key::GroupKey, i::Integer) = Base.OneTo(size(key, i))

Base.names(key::GroupKey) = string.(parent(key).cols)
# Private fields are never exposed since they can conflict with column names
Base.propertynames(key::GroupKey, private::Bool=false) = copy(parent(key).cols)
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146 changes: 146 additions & 0 deletions test/indexing.jl
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Expand Up @@ -1859,4 +1859,150 @@ end
@test_throws ArgumentError df[1] = [2]
end

@testset "array interface tests for all types" begin
df = DataFrame(reshape(1:12, 3, 4), :auto)
@test_throws MethodError length(df)
@test ndims(df) == 2
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@test size(df) == (3, 4)
@test size(df, 1) == 3
@test size(df, 2) == 4
@test_throws ArgumentError size(df, 3)
@test_throws ArgumentError size(df, 0)
@test axes(df) == (1:3, 1:4)
@test axes(df, 1) == 1:3
@test axes(df, 2) == 1:4
@test_throws ArgumentError axes(df, 3)
@test_throws ArgumentError axes(df, 0)
@test_throws MethodError firstindex(df)
@test firstindex(df, 1) == 1
@test firstindex(df, 2) == 1
@test_throws ArgumentError firstindex(df, 3)
@test_throws ArgumentError firstindex(df, 0)
@test_throws MethodError lastindex(df)
@test lastindex(df, 1) == 3
@test lastindex(df, 2) == 4
@test_throws ArgumentError lastindex(df, 3)
@test_throws ArgumentError lastindex(df, 0)

dfr = df[1, 1:3]
@test length(dfr) == 3
@test ndims(dfr) == 1
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@test size(dfr) == (3,)
@test size(dfr, 1) == 3
@test_throws BoundsError size(dfr, 2)
@test_throws BoundsError size(dfr, 0)
@test axes(dfr) == (1:3,)
@test axes(dfr, 1) == 1:3
@test_throws BoundsError axes(dfr, 2)
@test_throws BoundsError axes(dfr, 0)
@test firstindex(dfr) == 1
@test firstindex(dfr, 1) == 1
@test_throws BoundsError firstindex(dfr, 2)
@test_throws BoundsError firstindex(dfr, 0)
@test lastindex(dfr) == 3
@test lastindex(dfr, 1) == 3
@test_throws BoundsError lastindex(dfr, 2)
@test_throws BoundsError lastindex(dfr, 0)

er = eachrow(df)
@test length(er) == 3
@test ndims(er) == 1
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@test size(er) == (3,)
@test size(er, 1) == 3
@test size(er, 2) == 1
@test_throws BoundsError size(er, 0)
@test axes(er) == (1:3,)
@test axes(er, 1) == 1:3
@test axes(er, 2) == 1:1
@test_throws BoundsError axes(er, 0)
@test firstindex(er) == 1
@test firstindex(er, 1) == 1
@test firstindex(er, 2) == 1
@test_throws BoundsError firstindex(er, 0)
@test lastindex(er) == 3
@test lastindex(er, 1) == 3
@test lastindex(er, 2) == 1
@test_throws BoundsError lastindex(er, 0)

ec = eachcol(df)
@test length(ec) == 4
@test ndims(ec) == 1
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@test size(ec) == (4,)
@test size(ec, 1) == 4
@test_throws ArgumentError size(ec, 2)
@test_throws ArgumentError size(ec, 0)
@test axes(ec) == (1:4,)
@test axes(ec, 1) == 1:4
@test_throws ArgumentError axes(ec, 2)
@test_throws ArgumentError axes(ec, 0)
@test firstindex(ec) == 1
@test firstindex(ec, 1) == 1
@test_throws ArgumentError firstindex(ec, 2)
@test_throws ArgumentError firstindex(ec, 0)
@test lastindex(ec) == 4
@test lastindex(ec, 1) == 4
@test_throws ArgumentError lastindex(ec, 2)
@test_throws ArgumentError lastindex(ec, 0)

gdf = groupby(df, [:x1, :x2, :x3])
@test length(gdf) == 3
@test ndims(gdf) == 1
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@test size(gdf) == (3,)
@test size(gdf, 1) == 3
@test_throws BoundsError size(gdf, 2)
@test_throws BoundsError size(gdf, 0)
@test axes(gdf) == (1:3,)
@test axes(gdf, 1) == 1:3
@test_throws BoundsError axes(gdf, 2)
@test_throws BoundsError axes(gdf, 0)
@test firstindex(gdf) == 1
@test firstindex(gdf, 1) == 1
@test_throws BoundsError firstindex(gdf, 2)
@test_throws BoundsError firstindex(gdf, 0)
@test lastindex(gdf) == 3
@test lastindex(gdf, 1) == 3
@test_throws BoundsError lastindex(gdf, 2)
@test_throws BoundsError lastindex(gdf, 0)

kgdf = keys(gdf)
@test length(kgdf) == 3
@test ndims(kgdf) == 1
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@test size(kgdf) == (3,)
@test size(kgdf, 1) == 3
@test size(kgdf, 2) == 1
@test_throws BoundsError size(kgdf, 0)
@test axes(kgdf) == (1:3,)
@test axes(kgdf, 1) == 1:3
@test axes(kgdf, 2) == 1:1
@test_throws BoundsError axes(kgdf, 0)
@test firstindex(kgdf) == 1
@test firstindex(kgdf, 1) == 1
@test firstindex(kgdf, 2) == 1
@test_throws BoundsError firstindex(kgdf, 0)
@test lastindex(kgdf) == 3
@test lastindex(kgdf, 1) == 3
@test lastindex(kgdf, 2) == 1
@test_throws BoundsError lastindex(kgdf, 0)

gk = kgdf[1]
@test length(gk) == 3
@test ndims(gk) == 1
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@test size(gk) == (3,)
@test size(gk, 1) == 3
@test_throws BoundsError size(gk, 2)
@test_throws BoundsError size(gk, 0)
@test axes(gk) == (1:3,)
@test axes(gk, 1) == 1:3
@test_throws BoundsError axes(gk, 2)
@test_throws BoundsError axes(gk, 0)
@test firstindex(gk) == 1
@test firstindex(gk, 1) == 1
@test_throws BoundsError firstindex(gk, 2)
@test_throws BoundsError firstindex(gk, 0)
@test lastindex(gk) == 3
@test lastindex(gk, 1) == 3
@test_throws BoundsError lastindex(gk, 2)
@test_throws BoundsError lastindex(gk, 0)
end

end # module
2 changes: 1 addition & 1 deletion test/iteration.jl
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Expand Up @@ -28,7 +28,7 @@ using Test, DataFrames
@test length(eachcol(df)) == size(df, 2)
@test size(eachcol(df)) == (size(df, 2),)
@test size(eachcol(df), 1) == size(df, 2)
@test size(eachcol(df), 2) == 1
@test_throws ArgumentError size(eachcol(df), 2)
@test_throws ArgumentError size(eachcol(df), 0)
@test eachcol(df)[1] == df[:, 1]
@test eachcol(df)[:A] === df[!, :A]
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