Comments (4)
avimallu
commented on July 20, 2024
1
For now, you can do:
df.with_columns(pl.int_range(0, pl.len()).shuffle().over("group") == 2)from polars.
stevenlis
commented on July 20, 2024
1
@avimallu I think there's been a misinterpretation. This FR is requesting the selection of n random IDs and all associated rows with those IDs. I'm struggling to understand the purpose of your code. I already provided an expected results example above.
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stevenlis
commented on July 20, 2024
@avimallu This approach doesn't work because IDs have different rows, and it also doesn't subset the dataset at all.
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avimallu
commented on July 20, 2024
Sorry, you should use filter, not with_columns.
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