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Releases: rapidsai/cudf

v22.04.00

06 Apr 15:19
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v22.02.00

02 Feb 16:43
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🚨 Breaking Changes

  • ORC writer API changes for granular statistics (#10058) @mythrocks
  • decimal128 Support for to/from_arrow (#9986) @codereport
  • Remove deprecated method one_hot_encoding (#9977) < 10000 a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/isVoid/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/isVoid">@isVoid
  • Remove str.subword_tokenize (#9968) @VibhuJawa
  • Remove deprecated method parameter from merge and join. (#9944) @bdice
  • Remove deprecated method DataFrame.hash_columns. (#9943) @bdice
  • Remove deprecated method Series.hash_encode. (#9942) @bdice
  • Refactoring ceil/round/floor code for datetime64 types (#9926) @mayankanand007
  • Introduce nan_as_null parameter for cudf.Index (#9893) @galipremsagar
  • Add regex_flags parameter to strings replace_re functions (#9878) @davidwendt
  • Break tie for top categorical columns in Series.describe (#9867) @isVoid
  • Add partitioning support in parquet writer (#9810) @devavret
  • Move drop_duplicates, drop_na, _gather, take to IndexFrame and create their _base_index counterparts (#9807) @isVoid
  • Raise temporary error for decimal128 types in parquet reader (#9804) @galipremsagar
  • Change default dtype of all nulls column from float to object (#9803) @galipremsagar
  • Remove unused masked udf cython/c++ code (#9792) @brandon-b-miller
  • Pick smallest decimal type with required precision in ORC reader (#9775) @vuule
  • Add decimal128 support to Parquet reader and writer (#9765) @vuule
  • Refactor TableTest assertion methods to a separate utility class (#9762) @jlowe
  • Use cuFile direct device reads/writes by default in cuIO (#9722) @vuule
  • Match pandas scalar result types in reductions (#9717) @brandon-b-miller
  • Add parameters to control row group size in Parquet writer (#9677) @vuule
  • Refactor bit counting APIs, introduce valid/null count functions, and split host/device side code for segmented counts. (#9588) @bdice
  • Add support for decimal128 in cudf python (#9533) @galipremsagar
  • Implement lists::index_of() to find positions in list rows (#9510) @mythrocks
  • Rewriting row/column conversions for Spark <-> cudf data conversions (#8444) @hyperbolic2346

🐛 Bug Fixes

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v21.12.02

16 Dec 18:48
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v21.12.02

v21.12.01

09 Dec 18:32
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v21.12.01

v21.12.00

03 Dec 19:17
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🚨 Breaking Changes

🐛 Bug Fixes

📖 Documentation

🚀 New Features

🛠️ Improvements

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v21.10.01

12 Oct 20:19
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v21.10.01

v21.10.00

06 Oct 15:51
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🚨 Breaking Changes

  • Remove Cython APIs for table view generation (#9199) @vyasr
  • Upgrade pandas version in cudf (#9147) @galipremsagar
  • Make AST operators nullable (#9096) @vyasr
  • Remove the option to pass data types as strings to read_csv and read_json (#9079) @vuule
  • Update JNI java CSV APIs to not use deprecated API (#9066) @revans2
  • Support additional format specifiers in from_timestamps (#9047) @davidwendt
  • Expose expression base class publicly and simplify public AST API (#9045) @vyasr
  • Add support for struct type in ORC writer (#9025) @vuule
  • Remove aliases of various api.types APIs from utils.dtypes. (#9011) @vyasr
  • Java bindings for conditional join output sizes (#9002) @jlowe
  • Move compute_column API out of ast namespace (#8957) @vyasr
  • cudf.dtype function (#8949) @shwina
  • Refactor Frame reductions (#8944) @vyasr
  • Add nested column selection to parquet reader (#8933) @devavret
  • JNI Aggregation Type Changes (#8919) @revans2
  • Add groupby_aggregation and groupby_scan_aggregation classes and force their usage. (#8906) @nvdbaranec
  • Expand CSV and JSON reader APIs to accept dtypes as a vector or map of data_type objects (#8856) @vuule
  • Change cudf docs theme to pydata theme (#8746) @galipremsagar
  • Enable compiled binary ops in libcudf, python and java (#8741) @karthikeyann
  • Make groupby transform-like op order match original data order (#8720) @isVoid

🐛 Bug Fixes

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v21.08.03

2851 16 Sep 19:23
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v21.08.03

v21.08.02

06 Aug 20:26
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v21.08.02

v21.08.01

06 Aug 14:56
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v21.08.01

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