pola-rs/polars py-1.33.0-beta.1

Python Polars 1.33.0-beta.1

on GitHub

💥 Breaking changes

• Remove, deprecate or change eager Exprs to be lazy compatible (#24027)

🚀 Performance improvements

• Always simplify order requirements in IR (#24192)
• Basic de-duplication of filter expressions (#24220)
• Cache the IR in pipe_with_schema (#24213)
• Lower arg_where natively to streaming engine (#24088)
• Lower Expr.shift to streaming engine (#24106)
• Lower order-preserving groupby to streaming engine (#24053)

✨ Enhancements

• Allow pl.Expr.log to take in an expression (#24226)
• Add caching to user credential providers (#23789)
• Expose mkdir parameter on write_parquet (#24239)
• Implement diff() in streaming engine (#24189)
• Enable Expr.diff(n) for negative n (#24200)
• Allow upcasting null-typed columns to nested column types in scans (#24185)
• Log pyarrow predicate conversion result in sensitive verbose logs (#24186)
• Drop PyArrow requirement for write_database with the ADBC engine (#24136)
• Add a deprecation warning for pl.Series.shift(Null) (#24114)
• Improve Debug formatting of DataType (#24056)
• Add LazyFrame.pipe_with_schema (#24075)
• Catch additional temporal attributes in BytecodeParser function analysis (#24076)
• Add cum_* as native streaming nodes (#23977)
• Add peak_{min,max} support for booleans (#24068)
• Add DataFrame.map_columns for eager evaluation (#23821)

🐞 Bug fixes

• Correct size limits for Decimal cast (#24252)
• Unordered unions in check order observing pass (#24253)
• Fix dtype for slice on Literal in agg context (#24137)
• Fix incorrect filter(lit(True)) when scanning hive (#24237)
• In-memory group_by on 128-bit integers (#24242)
• Fix panic in gather inside groupby with invalid indices (#24182)
• Release the GIL in map_groups (#24225)
• Remove extra explode in LazyGroupBy.{head,tail} (#24221)
• Fix panic in polars cloud CSV scan (#24197)
• Fix panic when loading categorical columns from IO plugin (#24205)
• Fix credential provider did not auto-init on partition sinks (#24188)
• Fix engine type for concat_list on AggScalar implode (#24160)
• Rolling_mean handle centered weights with len(values) < window_size (#24158)
• Reading is_in predicate for Parquet plain strings (#24184)
• Support native DuckDB connection in read_database (#24177)
• Make PyCategories pickleable (#24170)
• Remove unused unsound function to_mutable_slice (#24173)
• PyO3 extension types giving compat_level errors (#24166)
• Allow non-elementwise by in top_k (#24164)
• Fix sort_by for group_by_dynamic context (#24152)
• Input-independent length aggregations in streaming (#24153)
• Release GIL when iterating df in to_arrow (#24151)
• Respect non-elementwise join_where conditions (#24135)
• Fix mismatched pytest test collection error (#24133)
• Resolve schema mismatch for div on Boolean (#24111)
• Fix from_repr parsing of negative durations (#24115)
• Make group_by/partition_by iterator keys tuple[Any, ...] to enable tuple-unpacking (#24113)
• Keep name when doing empty group-aware aggregation (#24098)
• Implode instead of reshape_list (#24078)
• Rolling mean with weights incorrect when min_samples < window_size (#23485)
• Allow merge_sorted for all types (#24077)
• Include datatypes in row_encode expression (#24074)
• Include UDF materialized type in serialization (#24073)
• Correct .rolling() output type for non-aggregations (#24072)
• Correct planner output schema for join_asof (#24071)
• Correct output for fold and reduce (#24069)
• Expr.meta.output_name for struct fields (#24064)
• Ensure upcast operations on pl.Date default to microsecond precision (#23981)
• Add peak_{min,max} support for booleans (#24068)
• Planner output type for mean with strange input type (#24052)
• Remove, deprecate or change eager Exprs to be lazy compatible (#24027)

📖 Documentation

• Fix formatting of Series.value_counts examples (#24245)
• Add hint to use DataFrame/Series constructors in from_arrow docstring (#22942)
• Update GPU un/supported features (#24195)
• Add DataFrame.map_columns to API (#24128)
• Update multiple pages in the Polars Cloud user guide (#23661)
• Fix str.find_many() docstring example (#24092)

📦 Build system

• Drop binary support for macos_x86-64 (#24257)

🛠️ Other improvements

• Remove unnecessary parentheses (#24244)
• Make non-nested shift{,_and_fill} ops generic (#24224)
• Remove unused Wrap (#24214)
• Allow upcasting null-typed columns to nested column types in scans (#24185)
• Automatically label a few more types of PR (#24147)
• Update toolchain (#24156)
• Add order_sensitive property for AExpr (#24116)
• Mark more tests as not possible on cloud (#24103)
• Turn AggExpr::Count from tuple to struct (#24096)
• Mark tests that may fail in cloud (#24067)
• Extend read database tests to capture more ADBC functionality (#24002)
• Make CI perf failures more lenient (#24066)
• Fix hive partition string encoding in CI by upgrading deltalake (#24018)
• Make tests with sinks run on cloud again (#24048)

Thank you to all our contributors for making this release possible!
@Kevin-Patyk, @agossard, @alexander-beedie, @aparna2198, @borchero, @coastalwhite, @deanm0000, @dsprenkels, @henryharbeck, @jjurm, @kdn36, @math-hiyoko, @mcrumiller, @mroeschke, @nameexhaustion, @orlp, @r-brink, @ritchie46, @stijnherfst, @vdrn and @wence-