pola-rs/polars py-1.35.0-beta.1

Python Polars 1.35.0-beta.1

on GitHub

🚀 Performance improvements

• Address group_by_dynamic slowness in sparse data (#24916)
• Push filters to PyIceberg (#24910)
• Native filter/drop_nulls/drop_nans in group-by context (#24897)
• Implement cumulative_eval using the group-by engine (#24889)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Implement native null_count, any and all group-by aggregations (#24859)
• Speed up reverse in group-by context (#24855)
• Prune unused categorical values when exporting to arrow/parquet/IPC/pickle (#24829)
• Don't check duplicates on streaming simple projection in release mode (#24830)
• Lower approx_n_unique to the streaming engine (#24821)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Use native reducer for first/last on Decimals, Categoricals and Enums (#24786)
• Implement indexed method for BitMapIter::nth (#24766)
• Pushdown slices on plans within unions (#24735)

✨ Enhancements

• Add environment variable to roundtrip empty struct in Parquet (#24914)
• Fast-count for scan_iceberg().select(len()) (#24602)
• Add glob parameter to scan_ipc (#24898)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Add list.agg and arr.agg (#24790)
• Implement {Expr,Series}.rolling_rank() (#24776)
• Don't require PyArrow for read_database_uri if ADBC engine version supports PyCapsule interface (#24029)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Support MergeSorted in CSPE (#24805)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Recursively apply CSPE (#24798)
• Add streaming engine per-node metrics (#24788)
• Add arr.eval (#24472)
• Drop PyArrow requirement for non-batched usage of read_database with the ADBC engine and support iter_batches with the ADBC engine (#24180)
• Improve rolling_(sum|mean) accuracy (#24743)
• Add separator to {Data,Lazy}Frame.unnest (#24716)
• Add union() function for unordered concatenation (#24298)
• Add name.replace to the set of column rename options (#17942)
• Support np.ndarray -> AnyValue conversion (#24748)
• Allow duration strings with leading "+" (#24737)
• Drop now-unnecessary post-init "schema_overrides" cast on DataFrame load from list of dicts (#24739)
• Add support for UInt128 to pyo3-polars (#24731)

🐞 Bug fixes

• Properly release the GIL for read_parquet_metadata (#24922)
• Broadcast partition_by columns in over expression (#24874)
• Clear index cache on stacked df.filter expressions (#24870)
• Fix 'explode' mapping strategy on scalar value (#24861)
• Fix repeated with_row_index() after scan() silently ignored (#24866)
• Correctly return min and max for enums in groupby aggregation (#24808)
• Refactor BinaryExpr in group_by dispatch logic (#24548)
• Fix aggstate for gather (#24857)
• Keep scalars for length preserving functions in group_by (#24819)
• Have range feature depend on dtype-array feature (#24853)
• Fix duplicate select panic (#24836)
• Inconsistency of list.sum() result type with None values (#24476)
• Division by zero in Expr.dt.truncate (#24832)
• Potential deadlock in __arrow_c_stream__ (#24831)
• Allow double aggregations in group-by contexts (#24823)
• Series.shrink_dtype for i128/u128 (#24833)
• Fix dtype in EvalExpr (#24650)
• Allow aggregations on AggState::LiteralScalar (#24820)
• Dispatch to group_aware for fallible expressions with masked out elements (#24815)
• Fix error for arr.sum() on small integer Array dtypes containing nulls (#24478)
• Fix regression on write_database() to Snowflake due to unsupported string view type (#24622)
• Fix XOR did not follow kleene when one side is unit-length (#24810)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Incorrect precision in Series.str.to_decimal (#24804)
• Use overlapping instead of rolling (#24787)
• Fix iterable on dynamic_group_by and rolling object (#24740)
• Use Kahan summation for in-memory groupby sum/mean (#24774)
• Release GIL in PythonScan predicate evaluation (#24779)
• Type error in bitmask::nth_set_bit_u64 (#24775)
• Add Expr.sign for Decimal datatype (#24717)
• Correct str.replace with missing pattern (#24768)
• Ensure schema_overrides is respected when loading iterable row data (#24721)
• Support decimal_comma on Decimal type in write_csv (#24718)

📖 Documentation

• Add partitioning examples for sink_* methods (#24918)
• Add more {unique,value}_counts examples (#24927)
• Indent the versionchanged (#24783)
• Relax fsspec wording (#24881)
• Add pl.field into the api docs (#24846)
• Fix duplicated article in SECURITY.md (#24762)
• Document output name determination in when/then/otherwise (#24746)
• Specify that precision=None becomes 38 for Decimal (#24742)
• Mention polars[rt64] and polars[rtcompat] instead of u64-idx and lts-cpu (#24749)
• Fix source mapping (#24736)

📦 Build system

• Update pyo3 and numpy crates to version 0.26 (#24760)

🛠️ Other improvements

• Re-use iterators in set_ operations (#24850)
• Remove GroupByPartitioned and dispatch to streaming engine (#24903)
• Turn element() into {A,}Expr::Element (#24885)
• Pass ScanOptions to new_from_ipc (#24893)
• Update tests to be index type agnostic (#24891)
• Unset Context in Window expression (#24875)
• Fix failing delta test (#24867)
• Move FunctionExpr dispatch from plan to expr (#24839)
• Fix SQL test giving wrong error message (#24835)
• Consolidate dtype paths in ApplyExpr (#24825)
• Add days_in_month to documentation (#24822)
• Enable ruff D417 lint (#24814)
• Turn pl.format into proper elementwise expression (#24811)
• Fix remote benchmark by no-longer saving builds (#24812)
• Refactor ApplyExpr in group_by context on multiple inputs (#24520)
• IR text plan graph generator (#24733)
• Temporarily pin pydantic to fix CI (#24797)
• Extend and rename rolling groups to overlapping (#24577)
• Refactor DataType proptest strategies (#24763)
• Add union to documentation (#24769)

Thank you to all our contributors for making this release possible!
@JakubValtar, @Kevin-Patyk, @MarcoGorelli, @Object905, @alexander-beedie, @borchero, @cmdlineluser, @coastalwhite, @craigalodon, @dsprenkels, @eitsupi, @etrotta, @henryharbeck, @jordanosborn, @kdn36, @math-hiyoko, @nameexhaustion, @orlp, @pavelzw, @ritchie46, @thomasjpfan and @williambdean