Comments (3)
this is possibly related to #13848
seems like grouping (in my exampl group_by
and here over
) could cause this.
from polars.
I can reproduce this on polars v0.20.15, and cannot reproduce on main branch. Hopefully, it's fixed by next release!
from polars.
Thanks @flisky, can confirm that its fixed in 0.20.16rc1
.
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Related Issues (20)
- Polars String or &str HOT 5
- Add `split` as superset of `slice` on `ChunkedArray`, `DataFrame` and `Series`.
- expose `null_on_oob` on `gather`.
- Identical query behaves differently between Expression API and SQL API regarding `streaming` HOT 1
- update object_store version 0.9 -> 0.10.1 HOT 1
- [QST]: should `pl.Expr.slice` raise if the numeric arguments are not integral HOT 1
- Large hike in memory for .unique on array fields HOT 1
- polars.testing.assert_series_equal has incorrect logic for infinities
- Providing nightly builds ? HOT 2
- Increase the verbosity of Schema and Catalog/DB input arguments to the write_database function.
- polars.exceptions.SchemaError: type Int64 is incompatible with expected type Int32 HOT 4
- pl.DataFrame.corr(method = "spearman") HOT 1
- Add to `.eq_missing()` a comment about what happens in the case of `Null.eq_missing(Number)`
- Add `df1.eq_missing(df2)` function
- Serialize UUIDs or show a better error when panicking on object columns
- Feature request: Faster backward- and forward_fill() functions HOT 3
- Nested array list combination gives invalid type
- It is not possible to create Arrays with zero width HOT 3
- Difference with pandas left join caused by new coalesce flag HOT 1
- SQLSyntaxError: invalid 'part' for EXTRACT/DATE_PART: 'year' HOT 1
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