Comments (3)
Do you have an example of this failing? It ought to work, but perhaps you found a bug:
julia> sort(wrapdims(rand(Int8, 5), 'a':'e'))
1-dimensional KeyedArray(...) with keys:
↓ 5-element Vector{Char}
And data, 5-element Array{Int8,1}:
('e') -38
('a') -5
('d') 3
('c') 59
('b') 65
from axiskeys.jl.
Ah great. I just realised I didn't have a 1D array, but a 1xN matrix:
julia> sort(wrapdims(rand(Int8, 1, 5), 1:1, 'a':'e'), dims=2)
2-dimensional KeyedArray(...) with keys:
↓ 1-element UnitRange{Int64}
→ 5-element OneTo{Int}
And data, 1×5 Array{Int8,2}:
(1) (2) (3) (4) (5)
(1) -127 4 65 80 96
The behaviour therefore makes sense, given how multidimensional sort works. I would need to drop the first dimension to get the behaviour I wanted.
from axiskeys.jl.
Cool. There is also sortslices
for higher-dim arrays:
julia> wrapdims(rand(Int8, 2, 5), 11:12, 'a':'e')
2-dimensional KeyedArray(...) with keys:
↓ 2-element UnitRange{Int64}
→ 5-element StepRange{Char,...}
And data, 2×5 Array{Int8,2}:
('a') ('b') ('c') ('d') ('e')
(11) 122 83 81 53 -28
(12) -62 39 61 0 -88
julia> sortslices(ans, dims=2)
2-dimensional KeyedArray(...) with keys:
↓ 2-element UnitRange{Int64}
→ 5-element Vector{Char}
And data, 2×5 Array{Int8,2}:
('e') ('d') ('c') ('b') ('a')
(11) -28 53 81 83 122
(12) -88 0 61 39 -62
from axiskeys.jl.
Related Issues (20)
- wrapdims(::DataFrame) produces incorrect results when not all key combinations are present HOT 4
- Feature request: aggregation function for wrapdims (and populate!)
- Ambiguity error: ProjectTo(::KeyedArray(...)))((::NoTangent)) HOT 1
- `vcat`/`hcat`/`cat` bug at edge case with one `KeyedArray` HOT 2
- `getindex(::KeyedVector, ::Colon, ::Colon)` is broken
- Document `setkey!` in the README
- Error trying to `show` KeyedArray with undef values
- `ProjectTo` is too permissive? HOT 3
- Broadcasting ambiguity
- Interpolation
- isequal violates transitive property HOT 1
- Error in `LinearAlgebra.copy_oftype` on addition of symmetric `KeyedArray` and `UniformScaling` HOT 2
- `eachslice` fails on v1.9-beta2 HOT 1
- Feature request: `empty!`
- unsupported keyword argument "time" when taking a gradient with Zygote HOT 1
- Wrong FFT results
- Maybe update `LazyStack` so that this warning vanishes in Julia 1.9 HOT 1
- Slicing with larger key vectors is slow HOT 2
- Support for NaNStatistics HOT 2
- vcat / hcat is broken on julia 1.10 HOT 5
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from axiskeys.jl.