Comments (2)
@kszlim output on my machine (Mac M2, Python 3.11.7, Polars 0.20.31)
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You're on an older version, also it's not clear if that type unification makes sense.
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Related Issues (20)
- Tracking Issue: utilize and track array metadata/statistics HOT 1
- `.last()` can't be used on LazyGroupBy HOT 2
- Panic on DataFrame.pivot when using common aggregate function on string data HOT 2
- Read data with Float32 and Float64 have different outputs HOT 3
- `group_by` with `map_elements` result incorrectly gets wrapped in a list for lazyframes
- Support writing Parquet `distinct_count` statistics for all types
- Platform Dependent pyo3_runtime.PanicException HOT 3
- `.struct.field('*')` PanicException when used after `.list.to_struct()`
- DATE() SQL function always returns Date type, even with DateTime strftime format string HOT 2
- Add formatting option to `write_excel` for dataframe values HOT 1
- Performance scaling not working (at least as expected) HOT 6
- Parquet file writer uses non-compliant list element field name HOT 1
- Windowed `std` does not work correctly (non-deterministic, incorrect values) HOT 1
- If I pass weights to rolling_var, the actual ddof will be 0 no matter what ddof I passed
- Projection pushdown with hive partitions may not be respected HOT 2
- Exclude directories from expanded glob result HOT 3
- Inconsistent behavior of `with_columns` + `lit` on empty frames HOT 3
- Add bincode serialization format to `serialize`/`deserialize` methods HOT 1
- DataFrame.to_numpy() converts None to nan HOT 8
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