What’s new in 1.3.3 (September 12, 2021)

These are the changes in pandas 1.3.3. See Release notes for a full changelog including other versions of pandas.

Fixed regressions

• Fixed regression in DataFrame constructor failing to broadcast for defined Index and len one list of Timestamp (GH 42810)

• Fixed regression in DataFrameGroupBy.agg() and SeriesGroupBy.agg() incorrectly raising in some cases (GH 42390)

• Fixed regression in DataFrameGroupBy.apply() and SeriesGroupBy.apply() where nan values were dropped even with dropna=False (GH 43205)

• Fixed regression in DataFrameGroupBy.quantile() and SeriesGroupBy.quantile() which were failing with pandas.NA (GH 42849)

• Fixed regression in merge() where on columns with ExtensionDtype or bool data types were cast to object in right and outer merge (GH 40073)

• Fixed regression in RangeIndex.where() and RangeIndex.putmask() raising AssertionError when result did not represent a RangeIndex (GH 43240)

• Fixed regression in read_parquet() where the fastparquet engine would not work properly with fastparquet 0.7.0 (GH 43075)

• Fixed regression in DataFrame.loc.__setitem__() raising ValueError when setting array as cell value (GH 43422)

• Fixed regression in is_list_like() where objects with __iter__ set to None would be identified as iterable (GH 43373)

• Fixed regression in DataFrame.__getitem__() raising error for slice of DatetimeIndex when index is non monotonic (GH 43223)

• Fixed regression in Resampler.aggregate() when used after column selection would raise if func is a list of aggregation functions (GH 42905)

• Fixed regression in DataFrame.corr() where Kendall correlation would produce incorrect results for columns with repeated values (GH 43401)

• Fixed regression in DataFrame.groupby() where aggregation on columns with object types dropped results on those columns (GH 42395, GH 43108)

• Fixed regression in Series.fillna() raising TypeError when filling float Series with list-like fill value having a dtype which couldn’t cast lostlessly (like float32 filled with float64) (GH 43424)

• Fixed regression in read_csv() raising AttributeError when the file handle is an tempfile.SpooledTemporaryFile object (GH 43439)

• Fixed performance regression in core.window.ewm.ExponentialMovingWindow.mean() (GH 42333)

Performance improvements

• Performance improvement for DataFrame.__setitem__() when the key or value is not a DataFrame, or key is not list-like (GH 43274)

Bug fixes

• Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy.transform() with engine="numba" where index data was not being correctly passed into func (GH 43133)

Contributors

A total of 18 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.

• Ali McMaster

• Irv Lustig

• Matthew Roeschke

• Matthew Zeitlin

• MeeseeksMachine

• Pandas Development Team

• Patrick Hoefler

• Prerana Chakraborty +

• Richard Shadrach

• Shoham Debnath

• Simon Hawkins

• Thomas Li

• Torsten Wörtwein

• Zach Rait +

• aiudirog +

• attack68

• jbrockmendel

• suoniq +