rows selection enhanced

[genmeblog]

I can imagine such helper functions:

1. head - select first n rows (equivalent to (select-rows (range n))
2. tail - select last n rows
3. sample - return n random rows (with repetitions or not)
4. shuffle (permute) dataset
5. unique (whole dataset) by rows

[cnuernber]

Unique is hardcore - you mean something like keep every row in a set and don't allow repeat rows or do you mean unique-by-column(s)?
head,tail,sample,shuffle, (rand-nth), all of those make sense.

[cnuernber]

Leaving unique/distinct for later as I think that one requires a bit more discussion.

[genmeblog]

Unique - removing row duplicates in whole dataset. But it's not urgent :)

[harold]

There is also Pandas' drop_duplicates, which I've needed in the past: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop_duplicates.html