This package facilitates creation and manipulation of multi-dimensional labeled arrays. The eventual aim of this package is to emulate something similar to Xarray in python.
A container, JuxtArray, is provided. Only slicing is currently implemented.
Creation:
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10)))
Dimensions : ["x", "y"]
Array : 5×10 Array{Float64,2}
Coordinates :
x: 5-element Array{Number,1}
y: 10-element Array{Number,1}
Attributes : Dict{Any,Any}()Index-based slicing:
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10)))
Dimensions : ["x", "y"]
Array : 5×10 Array{Float64,2}
Coordinates :
x: 5-element Array{Number,1}
y: 10-element Array{Number,1}
Attributes : Dict{Any,Any}()
julia> juxta.isel!(ja, x=2:4, y=3:7)
Dimensions : ["x", "y"]
Array : 3×5 Array{Float64,2}
Coordinates :
x: 3-element Array{Number,1}
y: 5-element Array{Number,1}
Attributes : Dict{Any,Any}()Indexing based on physical values of dimensions:
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2))
julia> juxta.sel!(ja, y=3.7:7.9)
Dimensions : ["x", "y"]
Array : 5×2 Array{Float64,2}
Coordinates :
x: 5-element Array{Number,1}
y: 2-element Array{Number,1}
Attributes : Dict{Any,Any}()This returns a subset where the dimension y ranges from 4:2:6.
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2))
julia> juxta.sel!(ja, "nearest", y=3.7:7.9)
Dimensions : ["x", "y"]
Array : 5×3 Array{Float64,2}
Coordinates :
x: 5-element Array{Number,1}
y: 3-element Array{Number,1}
Attributes : Dict{Any,Any}()This returns a subset where the dimension y ranges from 4:2:8.
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2))
julia> juxta.sel!(ja, y=3.7)
Dimensions : ["x", "y"]
Array : 5×2 Array{Float64,2}
Coordinates :
x: 5-element Array{Number,1}
y: 2-element Array{Number,1}
Attributes : Dict{Any,Any}()This returns a subset where the dimension y ranges from 2:2:4.
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2))
julia> juxta.sel!(ja, "nearest", y=3.7)
Dimensions : ["x", "y"]
Array : 5×1 Array{Float64,2}
Coordinates :
x: 5-element Array{Number,1}
y: 1-element Array{Number,1}
Attributes : Dict{Any,Any}()This returns a subset where the dimension y ranges from 4:4.
Dropping singleton dimensions:
julia> ja = juxta.JuxtArray(randn(5,10), ["x","y"], Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2))
julia> ja = juxta.sel!(ja, "nearest", x=0.8)
julia> ja = dropdims(ja, ["x"])
Dimensions : ["y"]
Array : 10-element Array{Float64,1}
Coordinates :
x: 1-element Array{Number,1}
y: 10-element Array{Number,1}
Attributes : Dict{Any,Any}()All of the above operations can be combined using Julia's piping functionality:
julia> ja = juxta.JuxtArray(randn(5,10,1), ["x","y","za"],
Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2,"za"=>[2]))
julia> ja = (ja
|> j->juxta.isel!(j,x=2)
|> j->dropdims(j,["x","za"])
|> j->size(j))
(10,)or by using Pipe.jl:
julia> using Pipe
julia> ja = juxta.JuxtArray(randn(5,10,1), ["x","y","za"],
Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2,"za"=>[2]))
julia> ja = @pipe (ja
|> juxta.isel!(_,x=2)
|> dropdims(_,["x","za"])
|> size(_))
(10,)or by using Lazy.jl:
julia> using Lazy
julia> ja = juxta.JuxtArray(randn(5,10,1), ["x","y","za"],
Dict("x"=>collect(1:5),"y"=>collect(1:10) .* 2,"za"=>[2]))
julia> ja = @> ja juxta.isel!(x=2) dropdims(["x","za"]) size()
(10,)- Test with datetime dimensions
- Implement plotting
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