modin-project/modin 0.23.0rc0 on GitHub

This release includes support for pandas 2.0, '.corr' speed-up, new features and bug fixes.

Note: this is a release candidate. If everything goes well, we'll release Modin 0.23.0 in two weeks.

Key Features and Updates Since 0.22.0

Stability and Bugfixes
- FIX-#3371: Remove pandas patch level pin (#6211)
- FIX-#4954: Defaults to pandas in read_json in case of rows having different columns (#5946)
- FIX-#6215: Process '.corr(numeric_only=False)' parameter at the qc level (#6242)
- FIX-#6218: Fix read_excel and unpin openpyxl (#6247)
- FIX-#6232: Support DataFrame.cov(numeric_only=False) without fallback to pandas (#6262)
- FIX-#6237: Log errors only from deepest modin layer (#6238)
- FIX-#6245: Support datetime64 with different resolutions types for HDK (#6255)
- FIX-#6246: Fix 'groupby(..., as_index=False).agg(...)' case (#6263)
- FIX-#6258: Fix series to_dict (#6260)
- FIX-#6259: Fix astype("category") causing read-only buffer error (#6267)
- FIX-#6273: Fix DataFrame.min/max/mean/median/skew/kurt with axis=None (#6275)
Performance enhancements
- PERF-#4560: Implement '.corr()' method using MapReduce pattern (#6193)
New Features
- FEAT-#5759: Implement lazy Arrow execution for the HDK engine (#6251)
- FEAT-#5936: Support pandas 2.0.2 (#5995)
- FEAT-#6048: Add wait method for Dask/Ray/Unidist wrappers (#6049)
- FEAT-#6253: Add 'dtype_backend' parameter support for read_parquet/read_feather (#6264)
- FEAT-#6256: HDK: Add support for DataFrameGroupBy.head/tail() (#6257)