5 ms·

What is the state of data frame support in Julia?

• 3JPLW 6y ago
  Exceptional — and its lead author is the author of this blog post. http://juliadata.github.io/DataFrames.jl/stable/ http://juliadata.github.io/DataFrames.jl/stable/
  • chubot 6y ago
    Is that what you meant to link? It looks like the official docs, and not a blog post.
    • LolWolf 6y ago
      I think “this blog post” refers to the OP :)
    • rsfern 6y ago
      This post is also relevant: https://bkamins.github.io/julialang/2020/08/02/post_juliacon_1.html https://bkamins.github.io/julialang/2020/08/02/post_juliacon... Edit: it’s a bit more into the weeds than I thought. Honestly the docs give a better picture of DataFrames.jl
• nextos 6y ago
  DataFrames.jl provides very similar functionality to the R DataFrame, plus some functions similar to those from the R reshape package. Other packages build upon this to provide e.g. LINQ-like operators [2]. [1] https://juliadata.github.io/DataFrames.jl https://juliadata.github.io/DataFrames.jl [2] https://github.com/queryverse/Query.jl https://github.com/queryverse/Query.jl
• smabie 6y ago
  It's fine, but I think row indices would add a lot. Right now there's also a TimeSeries package that could be obviate if Julia had a Pandas-like implementation. And the TimeSeries functionality is very primitive, not even supporting resampling and forward or backfilling data Row indices are super powerful and things are annoying without them. I've actually been thinking about programming a new and improved data frame library inspired by Pandas (but not so ugly and complicated), but the amount of work to write and then maintain it would be prohibitive.