Modin 0.7.0 release notes

Modin 0.7 comes with the largest expansion of the API since the first release. Modin now supports over 83% of the pandas API, up from 71% last release. A number of long awaited features have been implemented to include: I/O support for Dask for parquet and other column stores and groupby with a list of column names.

Bugfixes + Pandas Concordance (🐛 + 🐼)

• Allow merging of named Series (#879)
• Correctly merge CategoricalDtype dtypes (#889)
• Fix issue where certain arguments were not defaulting to pandas (#890)
• Send full path to workers on read_csv (#899)
• Remove __array_prepare__ from Series API (#900)
• Add Series.str.title to API (#901)
• Fix df.squeeze when axis=0 on a 1x1 dataframe (#902)
• Fix skiprows logic for read_csv (#918)
• read_sql() will default to pandas when chuksize is given (#920)
• Fix DeprecationWarning: invalid escape sequence \d (#950)
• Fix apply when args is set (#953)
• Fix inplace updates on partitions (#962)
• Fix bug where certain encodings were throwing an error (#980)
• Fix inplace operations without inplace keyword on emtpy dataframes (#983)
• Support console with repr like pandas (#984)
• Fix count when numeric_only=False (#1002)
• Fix bug in loc where slice on columns only threw Exception (#1024)

New Functionality ✨

• support for duplicated() and drop_duplicates() (#892)
• Create SeriesGroupBy wrapper to default to pandas and return to Modin (#908)
• Bring I/O support to Dask for everything supported (#955) ⭐️
• Add support for grouping by multiple columns when doing a reduction (#987) ⭐️
• Implement DataFrame.at_time and Series.at_time (#991)
• Add implementation for between_time for Series and `DataFram… (#992)
• Implement combine for Series and DataFrame (#995)
• Add implementation for combine_first for DataFrame and `Seri… (#996)
• Add implementation for droplevel for Series and DataFrame (#1000)
• Implement assign for DataFrame (#998)
• Add implementation for first for Series and DataFrame (#1006)
• Add implementation for last for DataFrame and Series (#1007)
• Add implementation for swapaxes for DataFrame and Series (#1010)
• Add implementation for tz_convert for Series and DataFrame (#1013)
• Implement tz_localize for Series and DataFrame (#1014)
• Add implementation for tshift (#1016)
• Add implementation: swaplevel for Series and DataFrame (#1018)
• Add implementation: reorder_levels for DataFrame and Series (#1022)
• Add implementation: take for Series and DataFrame (#1020)
• Add implentation: truncate for Series and DataFrame (#1026)
• Fix bug where Parsing error was thrown when text spanned multip… (#1027)

Code Quality + Testing 💯

• Update pytest and clean up tests a bit (#903)
• CI updates (#924, #925, #926, #927, #928, #929, #930, #931, #933, #936, #937, #938)
• Fix Windows Remove file test error (#943)
• Add test script for simple execution of all unit tests (#948)
• Fix pyarrow.parquet import in tests (#952)
• Support parameters with run-tests.sh (#959)
• Fix environment variables for CI and Master test suite (#964)
• Make test_dataframe.py more granular with test suite (#966)
• Cache pip depdendencies between builds to speed up process (#967)
• Fix master CI workflow order and simplify workflow names (#968)
• Update master build to allow coverage to be run (#969)
• Optimize CI with minimal pip installs (#971)
• use versioneer for versioning using VCS (#1028)

Backend enhancements + Performance 🚀

• Improve performance of setting a column from an existing one (#942)
• Increase n_workers for Dask from default to number of cores (#965)

Documentation 📃

• Update README to have a more accurate API coverage section (#974)
• Move API Coverage section in README to a more appropriate place (#975)
• Update README to add advanced usage (#988)

Dependencies 🔗

• Enforce only Python3+ on future releases (#907)
• Change Coverage version to avoid sqlite3 errors (#916)
• Remove top level import of py (#935)
• Update Ray version to latest (#941)
• Restructure import attempt to only try Ray if on a non-windows machine (#945)
• Set pure=False for Dask Client.submit and hash=False for `… (#957)

Contributors this release

The following users contributed code to Modin since the last release.

@ecoughlan (First time contributor) ⭐️
@aeroaks (First time contributor) ⭐️
@eavidan (Returning contributor) 🌟
@devin-petersohn (Maintainer)

🎉🎉 Thank you! 🎉🎉