EllipsisNotation.jl
EllipsisNotation.jl implements the notation .. for indexing arrays. It's similar to the Python ... in that it means 'all the columns before (or after)'.
.. slurps dimensions greedily, meaning that the first occurrence of .. in an index expression creates as many slices as possible. Other instances of .. afterward are treated simply as slices. Usually, you should only use one instance of .. in an indexing expression to avoid possible confusion.
Installation
using Pkg
Pkg.add("EllipsisNotation")
using EllipsisNotationExample Usage
julia> A = Array{Int}(undef, 2, 4, 2)
julia> A[.., 1] = [2 1 4 5
2 2 3 6]
julia> A[.., 2] = [3 2 6 5
3 2 6 6]
julia> A[:, :, 1] == [2 1 4 5
2 2 3 6]
true
julia> A[1, ..] = reshape([3 4
5 6
4 5
6 7], 1, 4, 2) # drops singleton dimension
julia> B = [3 4
5 6
4 5
6 7]
julia> B == reshape(A[1, ..], 4, 2)
true
julia> A[.., 1, 2] # Can do as many integers as you want on the end!
For avoiding squeezing dimensions from slicing.
julia> C = ones(3, 3, 3, 3, 3);
julia> size(C[1:1, .., 1:1])
(1, 3, 3, 3, 1)Note: .. slurps dimensions greedily, meaning that the first occurrence of .. in an index expression creates as many slices as possible. Other instances of .. afterwards are treated simply as slices. Usually, you should only use one instance of .. in an indexing expression to avoid possible confusion.
Warning:.. does not work when indexing also with end or begin. For example, A = randn(2,3,4); A[.., 1:end] will not give the intended result. This is a known limitation, and is not likely to be fixed until some necessary changes in the Julia language itself are implemented. See https://github.com/ChrisRackauckas/EllipsisNotation.jl/issues/19 for more details.
Contributing
Please refer to the SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages for guidance on PRs, issues, and other matters relating to contributing to SciML.
See the SciML Style Guide for common coding practices and other style decisions.
There are a few community forums:
- The #diffeq-bridged and #sciml-bridged channels in the Julia Slack
- The #diffeq-bridged and #sciml-bridged channels in the Julia Zulip
- On the Julia Discourse forums
- See also SciML Community page
Acknowledgements
I would like to acknowledge M. Schauer for the .. notation implementation. He had the original idea, I just extended it and put it into a package because of how useful it has been to me.
Reproducibility
The documentation of this SciML package was built using these direct dependencies,
Status `~/_work/EllipsisNotation.jl/EllipsisNotation.jl/docs/Project.toml`
[e30172f5] Documenter v1.17.0
[da5c29d0] EllipsisNotation v1.10.0 `~/_work/EllipsisNotation.jl/EllipsisNotation.jl`and using this machine and Julia version.
Julia Version 1.12.6
Commit 15346901f00 (2026-04-09 19:20 UTC)
Build Info:
Official https://julialang.org release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 112 × AMD EPYC 7663 56-Core Processor
WORD_SIZE: 64
LLVM: libLLVM-18.1.7 (ORCJIT, znver3)
GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 4 virtual cores)
Environment:
JULIA_CPU_THREADS = 4
JULIA_NUM_PRECOMPILE_TASKS = 4A more complete overview of all dependencies and their versions is also provided.
Status `~/_work/EllipsisNotation.jl/EllipsisNotation.jl/docs/Manifest.toml`
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