2025)¶

🎉 Highlights¶

In this release, we are excited to announce support for reading Iceberg tables, merge, sort, as well as 83 methods across Series, Series.str, and Series.dt in the DataFrame Library. Refer to our documentation for a complete list of features now supported.

✨ New Features¶

Added support for pd.read_iceberg (from Pandas 3.0 APIs). The implementation includes optimizations such as limit, projection, and filter pushdown as well as features such as time travel.
Added initial support for merge() for the how=”inner” case.
Added initial support for sort_values().
Added 46 Series.str methods such as str.find() and str.partition().
Added 30 Series.dt accessors and methods such as dt.dayofweek and dt.is_month_start.
Added 7 Series methods including Series.isin and Series.clip.
Improved support for arbitrarily complex DataFrame filter expressions and additional date/time types.
Added same arbitrarily complex Series expression support.
Added basic infrastructure for groupby, full support will be included in the next release.
Improved execution time of DataFrame and Series head() calls.
Improved performance of many computations substantially.

🐛 Bug Fixes¶

Improved handling of null columns in DataFrame Library read_parquet().
Various bug fixes for DataFrame.apply() and Series.map().
Fixed bug related to copying Series with Indexes.