github pola-rs/polars py-0.16.10
Python Polars 0.16.10

latest releases: py-1.13.0, rs-0.44.2, rs-0.44.1...
20 months ago

🏆 Highlights

  • Excel export support via new write_excel IO method (#7251)
  • out of core sort on multiple columns (#7244)

🚀 Performance improvements

  • improve batched csv readers perf and memory perf (#7329)
  • use inlined strings for field and schema (#7272)
  • reuse groups in binary expressions (#7202)

✨ Enhancements

  • support creation of sparklines when exporting Excel tables (#7333)
  • support sqlalchemy/pandas backed write_database (#7322)
  • add adbc database reader and writer (DataFrame.write_database) (#7318)
  • make expr.apply streamable in selection context (#7316)
  • More ergonomic unnest args (#7310)
  • initial working version of Decimal Series (#7220)
  • Support explicit Binary dtype in constructor (#7305)
  • implement serde for literal datetime and series (#7301)
  • improve error message if mmap fails in ipc (#7300)
  • add multi-threaded apply (#7277)
  • add support for serializing categoricals to json (#7276)
  • Add Expr.arg_true (#7056)
  • don't require pyarrow for initialising Series with Python datetimes (#7273)
  • Excel export support via new write_excel IO method (#7251)
  • deprecate describe_(optimized)_plan in favor of explain (#7264)
  • enable min-max skipping for binary in parquet, enable min-max skipping for is_in exprs (#7169)
  • out of core sort on multiple columns (#7244)
  • support nulls_last for multi-column sort (#7242)
  • allow optimizations flags in describe_plan (#7233)
  • implement row encoding for boolean and binary (#7218)
  • allow passing utc=True when parsing time-zone-naive date strings (#7203)
  • Add **named_exprs input for struct (#7208)
  • add sql "ARRAY_AGG" (#7204)

🐞 Bug fixes

  • fix offset in threading apply (#7330)
  • fix projection pushdown on join with unused join key (#7326)
  • raise error on time -> datetime cast (#7325)
  • raise error if output of 'apply' cannot be determined (#7317)
  • make pl.struct mappable (#7299)
  • err on duplicate with_column names (#7296)
  • don't panic on str.parse_int (#7072)
  • improve concat_list with empty list error message (#7236)
  • fix groupby_dynamic's binning when index_column is time-zone-aware (#7278)
  • fix preservation of microseconds when converting Python datetime (#7271)
  • fix us precision of datetime to anyvalue conversion (#7268)
  • no panic on empty cross join (#7266)
  • raise error on ambiguous filter predicates (#7265)
  • handle concat_list with first lit value (#7235)
  • respect schema in DataFrame initialisation for time-zone-aware datetime (#7240)
  • ensure every type is properly normalised (for groupby_dynamic and groupby_rolling) (#7238)
  • add test of median function in lazy mode (#7224)
  • dont lose precision in pl.date_range due to floating point arithmetic (#7229)
  • Conversion of negative timedelta to polars duration (#7209)
  • ensure parametric testing cols=int definition respects allowed_dtypes (#7213)

🛠️ Other improvements

  • Fix read/write_database tests (#7327)
  • Rename scan_ds to scan_pyarrow_dataset (#7320)
  • don't run tests that write to disk by default (#7321)
  • rename read_sql to read_database (#7315)
  • Address git2 vulnerability (#7309)
  • Correctly deprecate DataFrame.pearson_corr (#7307)
  • Skip write_excel doctests (#7306)
  • Run pytest-xdist with worksteal (#7304)
  • Rename pearson_corr & spearman_rank_corr (#7014)
  • refactor(python) Split io module per type (#7295)
  • Move _html module to dataframe module (#7256)
  • Enable strict for ruff TCH lints (#7234)
  • better select on map_dict dtype (#7217)
  • add warning of mmap to ipc docstring (#7216)
  • exit non-zero on fix from ruff (#7215)
  • ensure that DataFrame and LazyFrame init params don't diverge (#7214)

Thank you to all our contributors for making this release possible!
@MarcoGorelli, @aldanor, @alexander-beedie, @coinflip112, @csko, @dependabot, @dependabot[bot], @ghuls, @josemasar, @josh, @mslapek, @nrebena, @ozgrakkurt, @papparapa, @ptiza, @rben01, @ritchie46, @sorhawell, @stinodego, @universalmind303, @xyning and @zundertj

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