@nalimilan has just tagged the DataFrames.jl package release v0.15.0. It contains many major changes, in particular a significant improvement of split-apply-combine family of functions - both in terms of speed and usability. You can read the full list of enchancements with examples here Julia snip…

DataFrames.jl 1.2.0 is out. Here you can find the release notes. I have also written a blog post explaining the key user visible changes it introduces.

DataFrames.jl 1.3.0 is out. It is a major release much bigger than recent releases. It is expected that, hopefully, we managed to fix all key missing parts in the package to make it feature complete. Development towards 1.4.0 will continue by adding additional features requested by the users. I ex…

[image] bkamins: In DataFrames.jl 1.4 release on Julia 1.7 or newer broadcasting assignment into an existing column of a data frame will replace it. Under Julia 1.6 or older it will be an in place operation. (this is an unfortunate difference in behavior between versions of Julia - it is impossi…

https://github.com/JuliaLang/julia/pull/39473 The point is that x.y .= z in Julia 1.6 first takes y from x and then performs broadcasting of z into it. While since Julia 1.7 the operation can be handled as a whole (not in two separate steps). This is a similar pattern to x[y] .= z that existed for…

The following tutorials were updated to DataFrames.jl 1.3: https://github.com/bkamins/Julia-DataFrames-Tutorial/ (I have created this one 4 years ago) https://github.com/JuliaAcademy/DataFrames https://github.com/bkamins/JuliaCon2019-DataFrames-Tutorial https://github.com/bkamins/JuliaCon2020-Dat…

After many months of hard work DataFrames.jl 1.4.0 has been released. There were 98 PR included in this release (not including patch release commits, and we had 6 such releases) authored by: Alex Arslan, alfaromartino, anand jain, Bogumił Kamiński, Eric Hanson, jariji, Joseph Wilson, Lilith Orion Ha…

Many thanks, Bogumił, and all contributors who have worked steadily on this release! DataFrames.jl is a workhorse delivering no-nonsense, dependable, efficient results. I am also grateful for its excellent documentation, both in-package and through other resources such as your blog. It is a delight,…

For anyone needing to convert DataFrame objects from 1.3 to 1.4 version (e.g. if you serialized your objects for short-term storage). The easiest solution is to use Tables.columntable on DataFrame objects created under DataFrames.jl 1.3 version. Then serialize them. Next upgrade DataFrames.jl to 1.…

All tutorials referenced in Introduction · DataFrames.jl have been updated to DataFrames.jl 1.4.0. Some conclusions from the process: we have accumulated over the years a lot of curated tutorials. I am really convinced, after going through them while updating, that if someone carefully studies th…

Release announcements for DataFrames.jl

Specific Domains Data

Topic		Replies	Views
DataFrames.jl development survey Data question , dataframes	52	3547	September 27, 2020
Frustrated using DataFrames New to Julia dataframes , data_structures	97	12036	April 22, 2022
[ANN-RFC] DFMacros.jl Package Announcements dataframes	30	2330	June 19, 2021
DataFramesMeta.jl and the state of the DataFrames ecosystem Data	36	4402	April 24, 2020
The state of DataFrames.jl H2O benchmark Package Announcements dataframes	53	9986	January 1, 2025

Release announcements for DataFrames.jl

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