DataFrames.jl
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JuliaData
In-memory tabular data in Julia
What do you think about allowing `transform` to create a column and then use it? ```jl df = DataFrame(a = [1,2,3]) transform(df, :a => ByRow(-) => :b, :b => ByRow(-)...
We have most problematic performance in this case.
I thought it is not needed, but now I think it is 😄.
Currently it' s possible with [CatViews](https://github.com/ahwillia/CatViews.jl) on columns and then do a DataFrame construction with `copycols = false` . Would it be better if it become a builtin?
Not sure if this is a feature request or a bug report. It is unclear to me what operations pertaining to DataFrames, if any, are thread-safe. For example, I would...
This site - https://testdataframesjl.readthedocs.io/en/readthedocs/ - is coming up first in a number of my searches for DataFrames.jl content. Is it an official version of the documentation? - it doesn't look...
We currently have a limited support for multi-threading in joins. It would be good to improve it in the future.
DataFrames.jl Version 1.5.0. Julia Version 1.6.1 When one or more columns in an array are of type bitvector, dropmissing! will fail. The issue appears to be caused at line 922...
`df.col = scalar` and `df[:, col] = scalar` are disallowed from DataFrames. My understanding is that this single rule is an unnecessary limitation that, combined with an ambition to make...
