pdeffebach
pdeffebach
Thanks! Some of this is discussed in the dplyr tutorial [here](https://juliadata.github.io/DataFramesMeta.jl/stable/dplyr/#Arrange-Or-Re-order-Rows-Using-@orderby). I think the best solution is to use `ordinalrank` from StatsBase.jl ``` @orderby df ordinalrank(:x, rev = true) ```
I'm going to close this. I know the current behavior isn't perfect, but I think it's good enough to use without adding too many complications to the codebase.
The answer is to un-deprecate `cols`.
@MatthewRGonzalez I've marked this as 1.0. I want to get a 1.0 release together soon. People are going to get mad if we do too many `v0.x.0` releases. But I...
No, `@bycol` is the opposite of `@byrow`. ``` @transform df @bycol :y = f(:x) ``` gets lowered to ``` transform(df, :x => f => :y) ``` that is, it's redundant...
Thank you for your bug report! It is true that `@astable` will be slower outside of a function. The reason is that DataFramesMeta.jl creates anonymous functions which and calling them...
That's pretty frustrating. Can you post an issue with Pluto.jl? (Or their internal tracker or whatever they use) and I can cross-link with this issue?
Bumping this @mbataillou did you ever file an issue with Pluto.jl?
Tests pass
This can be a small version bump, right? Since it just deprecates, we don't need to make a `0.15.0` version.