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In-memory tabular data in Julia

Results 170 DataFrames.jl issues
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I have a data frame that contains multiple groups of columns and I want to stack them up. If there were only one group, then the regular `stack` function would...

feature
non-breaking

I feel like the question about datframes with distributed arrays comes up a lot. My impression is that we don't know, for sure, if a Dagger array etc. can "just...

performance
non-breaking

A separate issue to keep track only this feature

performance
grouping

A separate issue to keep track only of this feature.

performance
grouping

It would have to be carefully thought about as `sort` has a complex API, but we could allow things like: ``` sort(df, :x => x -> x^2) ``` (so to...

feature

It would be nice if there was a function to sort rows by some function of an entire `DataFrameRow` instead of by individual column values. An example implementation would be:...

feature

I was bit by this issue in a case that looked like this: ```julia julia> df = DataFrame(x=1:3); julia> select(df, :x => (x->2x), :x => (x->3x)) ERROR: ArgumentError: duplicate output...

feature

Would be nice to have `hcat!` exposed. I think its useful, especially since the only reason to use `hcat` is for performance in the first place.

feature

Currently a single row is still printed as a "DataFrame" - i.e. a 1-row table, with truncated columns. I wonder if it would be more natural to show a single...

display

Currently, `missing` is treated as the largest value in a sort. pandas has a `na_position` kwarg that lets you specify how missing data should be ordered, by default placing it...

decision
feature