Polars: py-1.0.0-rc.2 Release

💥 Breaking changes

• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Split replace functionality into two separate functions (#16921)
• Default to writing binview data to IPC (#17084)
• Remove re-export of type aliases (#17032)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Properly apply strict parameter in Series constructor (#16939)
• Remove supertype definition of List and non-List types (#16918)
• Consistently convert to given time zone in Series constructor (#16828)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Set infer_schema_length as keyword-only argument in str.json_decode (#16835)
• Update set_sorted to only accept a single column (#16800)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update some error types to more appropriate variants (#15030)
• Scheduled removal of deprecated functionality (#16715)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)

⚠️ Deprecations

• Deprecate size parameter in parametric testing strategies in favor of min_size/max_size (#17128)
• Split replace functionality into two separate functions (#16921)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• Remove re-export of exceptions at top-level (#17059)
• Deprecate dt.mean/dt.median in favor of mean/median (#16888)
• Deprecate LazyFrame.with_context in favor of horizontal concatenation (#16860)
• Rename parameter descending to reverse in top_k methods (#16817)
• Rename str.concat to str.join and update default delimiter (#16790)
• Deprecate arctan2d in favor of arctan2(...).degrees() (#16786)

🚀 Performance improvements

• create UniqueKernel and improve bool implementation (#17160)
• parallel linearize in new streaming engine (#17050)
• Default to writing binview data to IPC (#17084)
• Parallelize arrow conversion if binview -> large_bin (#17083)
• GC buffers in if_then_else view kernel (#16993)
• Desugar AND filter into multiple nodes (#16992)
• Optimize generic argsort of row-encoding (#16894)
• Improve rle_id iteration perf and set sorted flags (#16893)
• Optimize string/binary sort (#16871)
• Use split_at in split (#16865)
• Use split_at instead of double slice in chunk splits. (#16856)
• Don't rechunk in align_ if arrays are aligned (#16850)
• Don't create small chunks in parallel collect. (#16845)
• Add dedicated no-null branch in arg_sort (#16808)
• Speed up dt.offset_by 2x for constant durations (#16728)
• Toggle coalesce in join if non-coalesced key isn't projected (#16677)
• Make dt.truncate 1.5x faster when every is just a single duration (and not an expression) (#16666)
• Always prune unused columns in semi/anti join (#16665)

✨ Enhancements

• Support reading byte stream split encoded floats and doubles in parquet (#17099)
• Add float_scientific option to write_csv/sink_csv (#17111)
• Support Struct field selection in the SQL engine, RENAME and REPLACE select wildcard options (#17109)
• Update DataFrame.pivot to allow index=None when values is set (#17126)
• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Improve ipython autocomplete for LazyFrame and DataFrame (#17091)
• Split replace functionality into two separate functions (#16921)
• Improve schema inference for hive partitions (#17079)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• print row index in explain + dot (#17074)
• Support top-level pl.col autocompletion for iPython (#17080)
• Remove re-export of exceptions at top-level (#17059)
• predicate + projection pushdown in NDJson (#17068)
• Allow (non-)coalescing in join_asof (#17066)
• Turn of coalescing and fix mutation of join on expressions (#17061)
• Expand NDJson glob into one SCAN (#17063)
• Do not parse hive partitions from user provided base directory path (#17055)
• Support directory paths in scans for Parquet, IPC and CSV (#17017)
• Implement general array equality checks (#17043)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Add rechunk parameter to read_delta (#16991)
• allow experimental metadata use on release (#17005)
• first working prototype of new streaming engine (#16970)
• Add simple version of json_normalize (#17015)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Desugar AND filter into multiple nodes (#16992)
• Handle textio even if not correct (#16971)
• Properly apply strict parameter in Series constructor (#16939)
• Add SQL support for INTERSECT and EXCEPT ops (#16960)
• Add PerformanceWarning to LazyFrame properties (#16964)
• Add collect_schema method to LazyFrame and DataFrame (#16929)
• Allow setting file cache TTL on a per-file basis (#16891)
• Support Decimal inputs for lit (#16950)
• Implement multiply and division for lhs duration (#16948)
• Raise on invalid temporal arithmetic (#16934)
• Always end with a in-memory sink on collect (#16928)
• add style namespace (which defers to Great Tables) (#16809)
• Add Schema class (#16873)
• Normalize value_counts (#16917)
• add eq/ne for more FixedSizeLists (#16902)
• setup skeleton (#16900)
• add fundamentals for new async-based streaming execution engine (#16884)
• Cache downloaded cloud IPC files (#16892)
• Consistently convert to given time zone in Series constructor (#16828)
• Improve read_csv SQL table reading function defaults (better handle dates) (#16866)
• Support SQL VALUES clause and inline renaming of columns in CTE & derived table definitions (#16851)
• Support Python Enum values in lit (#16858)
• convert to give time zone in .str.to_datetime when values are offset-aware (#16742)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Support SQL "SELECT" with no tables, optimise registration of globals (#16836)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Extend recognised EXTRACT and DATE_PART SQL part abbreviations (#16767)
• Improve error message when raising integers to negative integers, improve docs (#16827)
• Return datetime for mean/median of Date colum (#16795)
• Update set_sorted to only accept a single column (#16800)
• Expose overflowing cast (#16805)
• Update group_by iteration and partition_by to always return tuple keys (#16793)
• Support array arithmetic for equally sized shapes (#16791)
• Expedited removal of certain deprecated functionality (2) (#16779)
• Removal of read_database_uri passthrough from read_database (#16783)
• Remove pyxlsb engine from read_database (#16784)
• Add check_order parameter to assert_series_equal (#16778)
• Enforce deprecation of keyword arguments as positional (#16755)
• Support cloud storage in scan_csv (#16674)
• Streamline SQL INTERVAL handling and improve related error messages, update sqlparser-rs lib (#16744)
• Support use of ordinal values in SQL ORDER BY clause (#16745)
• Support executing polars SQL against pandas and pyarrow objects (#16746)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Remove deprecated functionality from rolling methods (#16750)
• Update date_range to no longer produce datetime ranges (#16734)
• Mark min_periods as keyword-only for rolling methods (#16738)
• Remove deprecated top_k parameters nulls_last, maintain_order, and multithreaded (#16599)
• Support order-by in window functions (#16743)
• Add SQL support for NULLS FIRST/LAST ordering (#16711)
• Update some error types to more appropriate variants (#15030)
• Initial SQL support for INTERVAL strings (#16732)
• Scheduled removal of deprecated functionality (2) (#16724)
• Scheduled removal of deprecated functionality (#16715)
• Enforce deprecation of offset arg in truncate and round (#16655)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Add many more auto-inferable datetime formats for str.to_datetime (#16634)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)
• Dedicated SQLInterface and SQLSyntax errors (#16635)
• Add DIV function support to the SQL interface (#16678)
• Support non-coalescing streaming left join (#16672)
• Allow wildcard and exclude before struct expansions (#16671)

🐞 Bug fixes

• Use explicit turbofish to help rustc (#17159)
• Raise on invalid set dtypes (#17157)
• Fix corrupted reads for hive parts from cloud and projection pushdown failure on hive parts (#17152)
• Set intersection supertype (#17154)
• ChainedWhen should not inherit Expr (#17142)
• Fix decompress_impl for csv with n_rows set (#17118)
• adds "polars-ops/timezones" dependency for "timezones" feature (#17115)
• Fix incorrect window std for chunked series (#17110)
• make GetOutput::get_field fallible (#17114)
• Fix melt panic (#17088)
• Fix expression autocomplete in ipython (#17072)
• Exclude index from expansion in rolling/group_by_dynamic (#17086)
• Update some Series dunder method type signatures (#17053)
• Fix oob of join with literals and empty table (#17047)
• Don't silently accept multi-table FROM clauses (implicit JOIN syntax) (#17028)
• Don't split up ANDed filters that are group-aware (#17031)
• Harden "async" check for users with out-of-date sqlalchemy libraries (#17029)
• error when sort_by of unequal length (#17026)
• properly catch not found explode cols (#17020)
• Correctly convert data frames to NumPy for C index order (#17000)
• Raise on invalid arithmetic shapes (#16986)
• Don't pushdown predicates in cross join if the refer to both tables (#16983)
• Fix projection pushdown with literal joins (#16981)
• Fix edge case in DataFrame constructor data orientation inference (#16975)
• Raise on list of objects (#16959)
• Handle strictness for Decimal Series construction (#15309)
• Don't panic in object to anyvalue (#16957)
• properly set FAST_EXPLODE_LIST metadata (#16951)
• Raise informative error when writing object to file (#16954)
• Remove supertype definition of List and non-List types (#16918)
• Remove unwrap in extend() (#16890)
• Fix should_rechunk check (#16852)
• Ensure read_excel and read_ods return identical frames across all engines when given empty spreadsheet tables (#16802)
• Consistent behaviour when "infer_schema_length=0" for read_excel (#16840)
• Standardised additional SQL interface errors (#16829)
• Ensure that splitted ChunkedArray also flattens chunks (#16837)
• Reduce needless panics in comparisons (#16831)
• Reset if next caller clones inner series (#16812)
• Raise on non-positive json schema inference (#16770)
• Rewrite implementation of top_k/bottom_k and fix a variety of bugs (#16804)
• Fix comparison of UInt64 with zero (#16799)
• Fix incorrect parquet statistics written for UInt64 values > Int64::MAX (#16766)
• Fix boolean distinct (#16765)
• DATE_PART SQL syntax/parsing, improve some error messages (#16761)
• Include pl. qualifier for inner dtypes in to_init_repr (#16235)
• Column selection wasn't applied when reading CSV with no rows (#16739)
• Panic on empty df / null List(Categorical) (#16730)
• Only flush if operator can flush in streaming outer join (#16723)
• Raise unsupported cat array (#16717)
• Assert SQLInterfaceError is raised (#16713)
• Restrict casting for temporal data types (#14142)
• Handle nested categoricals in assert_series_equal when categorical_as_str=True (#16700)
• Improve read_database check for SQLAlchemy async Session objects (#16680)
• Reduce scope of multi-threaded numpy conversion (#16686)
• Full null on dyn int (#16679)
• Fix filter shape on empty null (#16670)

📖 Documentation

• Add doc examples to concat_list (#17127)
• Add "coming from pandas" note to DataFrame.unique docstring (#17119)
• Fix some warnings during doc build (#17077)
• Properly expose InProcessQuery in docs, mark as unstable (#17097)
• Add upgrade guide for Python Polars 1.0.0 (#16914)
• Lots of additions to the SQL reference docs (#16990)
• Minor doctest fixes (#17002)
• Include a doc entry for every exception type (#17001)
• fixup bullet points in write_parquet (#16909)
• Update version switcher for 1.0.0 prereleases (#16847)
• Update link from Python API reference to user guide (#16849)
• Update docstring/test/etc usage of select and with_columns to idiomatic form (#16801)
• Update versioning docs for 1.0.0 (#16757)
• Add docstring example for DataFrame.limit (#16753)
• Fix incorrect stated value of include_nulls in DataFrame.update docstring (#16701)
• Update deprecation docs in the user guide (#14315)
• Add example for index count in DataFrame.rolling (#16600)
• Improve docstring of Expr/Series.map_elements (#16079)
• Add missing polars.sql docs entry and small docstring update (#16656)

📦 Build system

• Do not change environment on import (#17101)
• Fix config flag for Tracemalloc (#17098)
• Pin optional NumPy dependency to < 2.0.0 for now (#17060)

🛠️ Other improvements

• Add missing spaces in cargo.toml (#17145)
• Update rustc 2024-06-23 (#17135)
• Minor test refactor for concat_list (#17120)
• Remove re-export of data type groups (#17073)
• Add pivot test #17081 (#17090)
• Minor cleanup to better define boundaries of public API (#17051)
• Support directory paths in scans for Parquet, IPC and CSV (#17017)
• Remove re-export of type aliases (#17032)
• Remove file cache test (#17038)
• Update exception imports in test suite (#17035)
• Point polars-stream to crates/ again (#17024)
• Fix failing file cache test in CI (#17014)
• Add some parametric tests for sort functionality (#17008)
• Pin NumPy to <2.0 for now (#16999)
• Use proper join type in test (#16994)
• Fix file cache verbose logging leakage during pytest (#16984)
• Skip another intermitently failing AWS test (#16980)
• Update test suite to explicitly use orient="row" in DataFrame constructor when applicable (#16977)
• Remove redundant projection attribute in IR::DataFrameScan (#16952)
• Factor out some apply calls in duration namespace (#16941)
• extend new streaming engine with some initial nodes (#16940)
• Skip intermittently failing AWS test (#16908)
• Refactor expression parsing utils (#16906)
• setup skeleton (#16900)
• Refactor parts of IR. (#16899)
• Move around some existing tests (#16877)
• Remove inner Arc from FileCacheEntry (#16870)
• Do not update stable API reference on prerelease (#16846)
• Update links to API references (#16843)
• Prepare update of API reference URLs (#16816)
• Rename allow_overflow to wrap_numerical (#16807)
• Set infer_schema_length as keyword-only argument in str.json_decode (#16835)
• Don't enter streaming engine for groupby-> agg mean/median … (#16810)
• Improve safety of amortized_iter (#16820)
• Remove needless inner type clone (#16718)
• Fix incorrect debug assertion in ChunkedArray::from_chunks_and_dtype (#16697)
• Update version resolver for 1.0.0 release (#16705)
• Avoid AWS pinning to outdated crc32c version (#16681)

Thank you to all our contributors for making this release possible! @JulianCologne, @KDruzhkin, @Kylea650, @MarcoGorelli, @Mottl, @Object905, @adamreeve, @alexander-beedie, @bertiewooster, @borchero, @c-peters, @coastalwhite, @datapythonista, @datenzauberai, @dependabot, @dependabot[bot], @eitsupi, @henryharbeck, @itamarst, @lukeshingles, @machow, @marenwestermann, @mcrumiller, @montanarograziano, @nameexhaustion, @orlp, @p3i0t, @ritchie46, @sherlockbeard, @stinodego, @tkellogg, @universalmind303 and @wence-