Related Issues (20)
- panic calling `collect_schema` on lazy group_by + map_batches HOT 1
- Python releases do not (always) correctly update the user guide HOT 2
- Add "periods" parameter to pl.datetime_range() HOT 1
- Python new release 1.0.0 causes regression. HOT 2
- `Series.scatter` operates in-place HOT 1
- Argument suggestion for "pl.DataFrame.to_dict()" HOT 3
- Polars 1.0 breaks scan parquet in Azure : ComputeError: expected at least 1 path HOT 3
- DataFrame rename method is extremely slow for dictionary argument
- Support for Business Day Lengths in group_by_dynamic
- Support for making all possible combinations of elements in a df, multiIndex from the cartesian product of multiple iterables? HOT 2
- Slow rolling_skew performance and inconsistent signature vs other rolling methods
- sum() and cum_sum() do not cast to UInt64 when data overflows UInt32 HOT 2
- Inconsistency when casting string to time vs sting to date
- `pl.col('str_col').cast(pl.UInt8).fill_null(pl.lit(0))` gets converted to Int16 type HOT 4
- add `with_source_column` to `scan_parquet` and `read_parquet`
- Rolling_mean with weights gives wrong result when min_periods is not None HOT 1
- json_decode with majority-null columns often fails schema unification
- ComputeError: parquet: File out of specification: Invalid thrift: protocol error
- List(string) cannot be coerced with String anymore since 1.0 in Concat
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