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Well... Julia. Of course, the tidyverse is big and I guess there isn’t one to one ration of features between tidyverse and Julia, but mostly it is true. For ex
by Eugeleo 7y ago
Well... Julia. Of course, the tidyverse is big and I guess there isn’t one to one ration of features between tidyverse and Julia, but mostly it is true.
For example, in Julia you can work with the dataframes in a SQL/LINQ/dplyr fashion like this:
x_thread = @linq df |>
transform(y = 10 * :x) |>
where(:a .> 2) |>
by(:b, meanX = mean(:x), meanY = mean(:y)) |>
orderby(:meanX) |>
select(:meanX, :meanY, var = :b
(sorry not sure how to format code properly on HN)
Theres also a version of ggplot, although I’m not sure if its a rewrite ot just a wrapping around the R version.
Edit: Actually, this I believe is a part of the DataFramesMeta.jl package... So the answer would be rather “most of the things are baked into Julia and when they arent, there’s a package for that”.