Modin 0.31.0

First release compatible with NumPy 2.0.

Key Features and Updates Since 0.30.0

• Stability and Bugfixes
  • FIX-#7138: Stop reloading modules for custom docstrings (#7307)
  • FIX-#7263: Empty docstrings should not be inherited (#7264)
  • FIX-#7272: Remove HDK engine (#7275)
  • FIX-#7277: Remove Cudf storage format as unmaintained (#7290)
  • FIX-#7278: Make sure enable_logging decorator preserve type hints (#7279)
  • FIX-#7292: Prepare Modin code to NumPy 2.0 (#7293)
  • FIX-#7295: Unpin numexpr to allow versions >= 2.8.4 to match pandas (#7296)
  • FIX-#7309: Update versioneer with versioneer install --vendor (#7311)
  • FIX-#7320: Bump the github-actions group with 3 updates (#7319)
  • FIX-#7321: Using C engine instead of pyarrow for getting metadata in read_csv (#7322)
• Performance enhancements
  • PERF-#7299: Avoid using synchronize_labels for combine function (#7300)
• Refactor Codebase
  • REFACTOR-#7271: Remove instance_type attribute of axis partitions (#7268)
  • REFACTOR-#7273: Remove deprecated functions from utils.py, accessor.py and io.py (#7274)
  • REFACTOR-#7285: Remove deprecated configs (#7286)
  • REFACTOR-#7294: Reduce access of methods _modin_frame methods from _query_compiler (#7297)
  • REFACTOR-#7313: Add similar methods as in #7294 for operating on columns (#7314)
• Update testing suite
  • TEST-#0000: Add a Dependabot config to auto-update GitHub action versions (#7318)
  • TEST-#7316: Run a subset of CI tests with python 3.10 and 3.11 on a scheduled basis (#7289)
• Documentation improvements
  • DOCS-#0000: Adds RunLLM widget to docs (#7326)
  • DOCS-#7287: Update Modin on Dask documentation (#7288)
• New Features
  • FEAT-#6574: UserWarning no longer displayed when Series/DataFrames are small (#7323)
  • FEAT-#7249: Add reload_modin feature (#7280)
  • FEAT-#7265: Automatic publication of Modin wheel to PyPI (#7262)
  • FEAT-#7283: Introduce MinRowPartitionSize and MinColumnPartitionSize (#7284)
  • FEAT-#7310: NumPy 2.0 support (#7312)

Contributors

@Jayson729
@Retribution98
@YarShev
@anmyachev
@arunjose696
@kurtmckee
@sfc-gh-dpetersohn
@vsreekanti

Modin 0.30.1

This release pins numpy<2.

Key Features and Updates Since 0.30.0

• Stability and Bugfixes
  • FIX-#7302: Pin numpy<2 (072453b)

Contributors

@anmyachev

Modin 0.29.1

This release pins numpy<2.

Key Features and Updates Since 0.29.0

• Stability and Bugfixes
  • FIX-#7302: Pin numpy<2 (072453b)
• New Features
  • FEAT-#7265: Automatic publication of Modin wheel to PyPI (#7262)

Contributors

@anmyachev
@sfc-gh-dpetersohn

Modin 0.28.3

This release pins numpy<2.

Key Features and Updates Since 0.28.2

• Stability and Bugfixes
  • FIX-#7302: Pin numpy<2 (072453b)
• New Features
  • FEAT-#7265: Automatic publication of Modin wheel to PyPI (#7262)

Contributors

@anmyachev
@sfc-gh-dpetersohn

Modin 0.27.1

This release pins numpy<2.

Key Features and Updates Since 0.27.0

• Stability and Bugfixes
  • FIX-#6968: Align API with pandas (#6969)
  • FIX-#7302: Pin numpy<2 (072453b)
• New Features
  • FEAT-#7265: Automatic publication of Modin wheel to PyPI (#7262)

Contributors

@anmyachev
@dchigarev
@sfc-gh-dpetersohn

Modin 0.30.0

This release introduces support for DataFrame API standard, a distributed implementation for right merge/join,
more efficient implementation of internal operators, which gives a performance boost to almost all distributed Modin functions,
improved compatibility with pandas on pyarrow backend, type hints for pandas API to improve UX.

Key Features and Updates Since 0.29.0

• Stability and Bugfixes
  • FIX-#0000: Fix badge in README.md (#7213)
  • FIX-#0000: Make merge tests more stable by sorting results (#7266)
  • FIX-#6967: Remove read_pickle_distributed/to_pickle_distributed functions as deprecated (#7258)
  • FIX-#7093: Make sure idxmax and idxmin can work with string columns (#7193)
  • FIX-#7102: Remove enable_api_only mode in modin logging (#7194)
  • FIX-#7103: Move lower-level functionality logging to debug (#7184)
  • FIX-#7143: Constructing a DataFrame from a Modin Series with tuple name should produce MultiIndex columns (#7214)
  • FIX-#7185: Add extra check for some config classes (#7189)
  • FIX-#7201: Update docs on how to enable Modin logs for high-level API and low-level API (#7209)
  • FIX-#7206: Make sure df.melt handle duplicate value_vars correctly (#7208)
  • FIX-#7219: Pin dataframe-api-compat>=0.2.7 (#7220)
  • FIX-#7221: Don't use use_legacy_dataset=False for ParquetDataset (#7222)
  • FIX-#7224: Importing modin.pandas.api.extensions overwrites re-export of pandas.api submodules (#7225)
  • FIX-#7233: Display property name in default_to_pandas error messages (#7269)
  • FIX-#7234: Deprecate HDK engine (#7235)
  • FIX-#7238: Fix docstring inheritance for cached_property and use it (#7239)
  • FIX-#7240: Allow doc_checker.py works with functools.cached_property (#7241)
  • FIX-#7246: Pin pyarrow>=10.0.1 as pandas 2.2.* does (#7247)
  • FIX-#7248: Make sure _validate_dtypes_sum_prod_mean works correctly with datetime types (#7237)
  • FIX-#7250: Revert "PERF-#6666: Avoid internal reset_index for left merge" (#7251)
• Performance enhancements
  • PERF-#7227: Call modin_frame.combine() for merge and join only when necessary (#7228)
  • PERF-#7230: Don't preserve bad partition for merge (#7229)
• Refactor Codebase
  • REFACTOR-#7242: Add type hints for modin/core/dataframe/algebra/ (#7243)
  • REFACTOR-#7260: Use extract_dtype internal function in more places (#7261)
• Update testing suite
  • TEST-#7049: Add some sanity tests with pyarrow-backed pandas dataframes (#7199)
  • TEST-#7191: Fix ASV after changing default branch (#7190)
• Documentation improvements
  • DOCS-#0000: Fix a typo with MODIN_CPUS number (#7198)
  • DOCS-#0000: Supplement Optimization Notes with a link to configs (#7197)
  • DOCS-#7217: Update docs as to when Modin operators work best (#7218)
  • DOCS-#7255: Update docs as to from_* functions (#7256)
• New Features
  • FEAT-#5394: Reduce amount of remote calls for Map operator (#7136)
  • FEAT-#5394: Reduce amount of remote calls for TreeReduce and GroupByReduce operators (#7245)
  • FEAT-#6492: Add from_map feature to create dataframe (#7215)
  • FEAT-#6498: Make Fold operator more flexible (#7257)
  • FEAT-#6808: Implement __arrow_array__ for Series (#7200)
  • FEAT-#6890: Modin implementation of DataFrame API standard (#7216)
  • FEAT-#7139: Use ray-core instead of ray-default (#6955)
  • FEAT-#7187: Change master branch to main (#7188)
  • FEAT-#7202: Use custom resources for Ray (#7205)
  • FEAT-#7203: Make sure Modin works correctly with pandas, which uses pyarrow as a backend (#7204)
  • FEAT-#7207: Add the ability to assign a df to a columns selection without d2p (#7210)
  • FEAT-#7252: Add type hints for base.py (#7253)
  • FEAT-#7254: Support right merge/join (#7226)

Contributors

@Retribution98
@YarShev
@anmyachev
@arunjose696
@noloerino
@sfc-gh-jkew

Modin 0.29.0

This release introduces modin.pandas.testing and modin.pandas.arrays modules, faster implementation (range-partitioning) for
pivot_table, unique, drop_duplicates, nunique, df.resample functions, new functions to interact with Dask: to/from_dask,
distributed implementation for Series.case_when, optimization for astype function with scalar dtype.

Key Features and Updates Since 0.28.0

• Stability and Bugfixes
  • FIX-#6227: Make sure Series.unique() with pyarrow dtype returns ArrowExtensionArray (#7042)
  • FIX-#6793: Use pandas_dtype instead of np.dtype for some more places in Modin code (#6794)
  • FIX-#7039: Pass scalar dtype as is to astype query compiler (#7152)
  • FIX-#7051: Update exception message for astype function (#7052)
  • FIX-#7054: Update exception message for shift function (#7055)
  • FIX-#7056: Update exception message for iloc/loc functions (#7057)
  • FIX-#7058: Update exception message for insert function (#7059)
  • FIX-#7060: Fix pivot when index or columns are of Index type (#7061)
  • FIX-#7062: Update exception message for aggregate function (#7063)
  • FIX-#7072: Replace MaterializationHook with the materialized object on serialization (#7075)
  • FIX-#7088: Make sure rank raises No axis named None... exception (#7089)
  • FIX-#7115: Exclude Ray 2.10.0 from deps installation (#7116)
  • FIX-#7135: Fix appending a new row (#7172)
  • FIX-#7153: Fix Series.corr with method != pearson (#7158)
  • FIX-#7157: Make sure quantile function works with numeric_only=True (#7160)
  • FIX-#7170: Don't use MinPartitionSize configuration variable in remote context (#7177)
• Performance enhancements
  • PERF-#5296: Partition parquet file if it has too few row groups (#7016)
  • PERF-#7068: Provide shape_hint="column" for some more operations with Series (#7069)
  • PERF-#7123: Preserve shape_hint for dropna (#7124)
  • PERF-#7130: Preserve partition lengths in apply_full_axis with keep_partitioning=True (#7131)
  • PERF-#7132: Preserve partition lengths in apply_full_axis with keep_partitioning=False (#7133)
  • PERF-#7150: Reduce peak memory consumption (#7149)
• Refactor Codebase
  • REFACTOR-#3257: Move logging and caching to the gen_data internal function (#7046)
  • REFACTOR-#7105: Deprecate cfg.RangePartitioningGroupby (#7161)
  • REFACTOR-#7106: Rename from/to_ray_dataset to from/to_ray (#7107)
  • REFACTOR-#7109: Remove the outdated aws_example.yaml file (#7110)
• Update testing suite
  • TEST-#3622: Centralize tests in Modin (#7137)
  • TEST-#6016: Make sure eval_general doesn't expect exceptions by default (#6954)
  • TEST-#7064: Explicitly check for exceptions in test_groupby.py (#7065)
  • TEST-#7066: Explicitly check for exceptions in test_io.py (#7067)
  • TEST-#7073: Explicitly check for exceptions in test_default.py (#7074)
  • TEST-#7076: Explicitly check for exceptions in test_map_metadata.py (#7077)
  • TEST-#7082: Explicitly check for exceptions in test_series.py (#7083)
  • TEST-#7084: Explicitly check for exceptions in test_indexing.py (#7085)
  • TEST-#7086: Explicitly check for exceptions in test_reduce.py (#7087)
  • TEST-#7094: Rename raising_exceptions argument of eval_general testing function (#7095)
  • TEST-#7125: Explicitly install modin in CI tests (#7126)
  • TEST-#7165: Add codecov token to fix CI on master (#7175)
  • TEST-#7166: Fix HDF tests in CI (#7167)
  • TEST-#7173: Update github actions (#7168)
• Documentation improvements
  • DOCS-#2434: Clarify the use of --signoff option (#7145)
  • DOCS-#6987: Rework range-partitioning docs (#7169)
  • DOCS-#7144: Add information about logging from user defined function (#7155)
• New Features
  • FEAT-#4527: Add Modin logging to AxisPartition and BlockPartition classes (#7079)
  • FEAT-#6783: Implement modin.pandas.testing module (#7045)
  • FEAT-#6929: Implement Series.case_when in a distributed way (#6972)
  • FEAT-#7004: Use generators when returning from _deploy_ray_func remote function. (#7005)
  • FEAT-#7021: Implement to/from_dask functions (#7022)
  • FEAT-#7047: Add range-partitioning implementation for .pivot_table() (#7048)
  • FEAT-#7070: Add modin.pandas.arrays module (#7071)
  • FEAT-#7078: Add modin_layer names to classes that inherit ClassLogger (#7099)
  • FEAT-#7090: Add range-partitioning implementation for .unique() and .drop_duplicates() (#7091)
  • FEAT-#7100: Add range-partitioning impl for nunique() (#7101)
  • FEAT-#7102: Deprecate enable_api_only mode in modin logging (#7114)
  • FEAT-#7111: Implemented @remote_function decorator with cache (#7112)
  • FEAT-#7117: Support building range-partitioning from an index level (#7120)
  • FEAT-#7118: Add range-partitioning impl for df.resample() (#7140)
  • FEAT-#7128: Update minimal supported version of Ray up to 2.1.0 (#7129)
  • FEAT-#7141: Add an ability to use config variables with a context manager (#7142)
  • FEAT-#7146: Use BaseQueryCompiler, BasePandasDataset, DataFrame or Series type hints at a high level (#7147)
  • FEAT-#7156: Add type hints for Series (#7154)
  • FEAT-#7178: Add type hints for DataFrame (#7179)
  • FEAT-#7180: Add type hints for modin.pandas.[functions] (#7181)

Contributors

@AndreyPavlenko
@Retribution98
@YarShev
@anmyachev
@arunjose696
@dchigarev
@sfc-gh-mvashishtha

Modin 0.28.2

This release reverts the pandas requirement from
2.2.1 to >=2.2,<2.3

Key Features and Updates Since 0.28.1

• New Features
  • FEAT-#7162: Revert pandas version to >=2.2,<2.3 (67e2541)

Contributors

@sfc-gh-mvashishtha

Modin 0.28.1

This release pins pandas to 2.2.1. This pin will be removed
in a subsequent release.

Key Features and Updates Since 0.28.0
-------------------------------------
* New Features
  * FEAT-#7162: Pin pandas to 2.2.1 (87d147f)

Contributors
------------
@sfc-gh-dpetersohn

Modin 0.28.0

This release introduces modin.pandas.api.extensions module, faster implementations for merge and
groupby.rolling(by default) functions, and new functions to work with Ray Dataset: to/from_ray_dataset.
It also includes some other new features, performance optimizations and bug fixes.

Key Features and Updates Since 0.27.0

• Stability and Bugfixes
  • FIX-#6935: Fix merge when right operand is an empty dataframe (#6941)
  • FIX-#6936: Fix read_parquet when dataset is created with to_parquet and index=False (#6937)
  • FIX-#6944: Apply isort formatting for scripts from tutorials (#6945)
  • FIX-#6946: Remove needs: [lint-black-isort, ...] (#6947)
  • FIX-#6948: Fix groupby when Modin dataframe has several column partitions (#6951)
  • FIX-#6952: Use render_as_string to get sqlalchemy engine url (#6953)
  • FIX-#6968: Align API with pandas (#6969)
  • FIX-#6974: Always use actual pandas version in test_all_urls_exist (#6975)
  • FIX-#6982: Updating data in notebooks from yellow taxi to green taxi dataset (#6993)
  • FIX-#6984: Ensure the results of inplace operations materialize (for tests) (#6985)
• Performance enhancements
  • PERF-#6976: Do not trigger unnecessary computations on ._propagate_index_objs() (#6977)
  • PERF-#6979: Do not trigger ._copartition() for identical indices on binary operations (#6980)
• Refactor Codebase
  • REFACTOR-#6856: Rename read_pickle_distributed/to_pickle_distributed to read_pickle_glob/to_pickle_glob (#6957)
  • REFACTOR-#6939: Make modin.pandas.DataFrame._to_pandas a public method (#6940)
  • REFACTOR-#6958: Remove DataFrame.to_pickle_distributed in favour of DataFrame.modin.to_pickle_distributed (#6959)
  • REFACTOR-#7002: Get more information about exceptions from eval_general utility (#7003)
  • REFACTOR-#7008: Remove check_exception_type argument of eval_general function (#7009)
  • REFACTOR-#7013: Move to_pandas and to_ray_dataset into modin namespace (#7014)
  • REFACTOR-#7017: Align to_hdf and hist signatures to pandas (#7018)
• Update testing suite
  • TEST-#6932: Don't use deprecated pandas._testing.makeStringIndex (#6933)
  • TEST-#6994: Update tests in test_series.py (#6995)
  • TEST-#6996: Update tests in test_io.py (#6997)
• Documentation improvements
  • DOCS-#6871: Update Modin on Ray cluster tutorial (#6872)
  • DOCS-#6949: Create Modin on Dask cluster tutorial (#6950)
  • DOCS-#6962: Remove links to https://discuss.modin.org (#6963)
• New Features
  • FEAT-#3044: Create Extensions Module in Modin (#6961)
  • FEAT-#4622: Unify data type of log_level in logging module (#6992)
  • FEAT-#6913: Support sqlalchemy connectables in read_sql by getting connection url (#6956)
  • FEAT-#6934: Support include_groups=False parameter in groupby.apply() (#6938)
  • FEAT-#6942: Enable range-partitioning impl for groupby().rolling() by default (#6943)
  • FEAT-#6965: Implement .merge() using range-partitioning implementation (#6966)
  • FEAT-#6970: Implement to/from_ray_dataset functions (#6971)
  • FEAT-#6983: Add Pluggable Documentation Module Support (#6986)
  • FEAT-#7001: Do not force materialization in MetaList.__getitem__() (#7006)

Contributors

@AndreyPavlenko
@Retribution98
@YarShev
@anmyachev
@arunjose696
@dchigarev
@sfc-gh-dpetersohn
@tochigiv