DataTools: manipulating flat tables and nested data structures using Transducers.jl

julia>using DataTools: oncol, modifying, averaging
julia>using Transducers: Filter
julia> data = [(a =1, b =7), (a =2, b =3), (a =3, b =4)];
julia> rf =oncol(a =+, b = averaging);
julia>foldl(rf, Filter(x ->isodd(x.a)), data)
(a =4, b =5.5)
julia>map(modifying(a = string), data)
3-element Array{NamedTuple{(:a, :b),Tuple{String,Int64}},1}:
(a ="1", b =7)
(a ="2", b =3)
(a ="3", b =4)
julia>reduce(modifying(a =+), data)
(a =6, b =7)
julia>using Accessors:@optic
julia> data = [(a = ((b =1,), 2),), (a = ((b =3,), 4),)];
julia>map(modifying(@optic(_.a[1].b) => x ->10x), data)
2-element Array{NamedTuple{(:a,),Tuple{Tuple{NamedTuple{(:b,),Tuple{Int64}},Int64}}},1}:
(a = ((b =10,), 2),)
(a = ((b =30,), 4),)

This website serves as a package browsing tool for the Julia programming language. It works by aggregating various sources on Github to help you find your next package.