I was wondering if there is a reason for this design decision.
Code example:
julia> v = [1, 2, 3]
3-element Vector{Int64}:
1
2
3
julia> size(v, 1)
3
julia> size(v, 2)
1
I was wondering if there is a reason for this design decision.
Code example:
julia> v = [1, 2, 3]
3-element Vector{Int64}:
1
2
3
julia> size(v, 1)
3
julia> size(v, 2)
1
Even:
julia> size(v, 3) # etc. just do: size(v) to see "size" and number of dimensions.
1
I guess since it’s allowed by adding arbitrary many dimensions, to index like:
julia> v[2, 1, 1] # etc.
1
https://docs.julialang.org/en/v1/manual/arrays/#Omitted-and-extra-indices
Similarly, more than
N
indices may be provided if all the indices beyond the dimensionality of the array are 1 (or more generally are the first and only element ofaxes(A, d)
whered
is that particular dimension number). This allows vectors to be indexed like one-column matrices.