Comments (3)
This is something we want to support in the future, but it currently does not have priority for us.
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Also duplicate of #13109.
from polars.
Thanks for the link, I knew there had to be an issue but I couldn't find it. I'll close this one in favor of the existing issue.
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Related Issues (20)
- Performance drop in collect() for LazyFrame with pl.scan_ndjson in 0.20.25 HOT 2
- Continue PyO3 0.21 Bound<> updates, and remove "gil-refs" pyo3 crate feature
- `with_context` yields invalid `DataFrame` dimensions for the `other` `DataFrame`
- Rolling after sort returns weird and different outputs HOT 8
- Panic on `polars.scan_parquet().filter().columns` HOT 9
- Cannot filter on decimal fields in parquet files using is_in()
- No_null_schema inference option in pl.DataFrame
- Update documentation to talk about Bound<> APIs instead of deprecated PyO3 APIs
- Panic when calling `fill_null` on Date column with float value HOT 1
- Switch to PyO3 0.21's native datetime support, now available with abi3 HOT 9
- Unable to create higher than float64 precision decimal field HOT 2
- Add skipfooter to scan_csv HOT 3
- Issue: ddof Argument in pl.corr is Redundant
- group_by_dynamic offset ignored HOT 2
- PanicException when slicing a LazyFrame streaming from globbed CSV HOT 1
- Support reading UInt8, UInt16, Int8 and Int16 in newline delimited JSON
- Difference between `0i` and `-0i` when used as `.rolling()` offset
- Group by column name may conflict with aggregation columns, even if renamed HOT 4
- Expr.fill_null(integer) corrupts Categorical data HOT 1
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