What’s new in 1.1.3 (October 5, 2020)#
These are the changes in pandas 1.1.3. See Release notes for a full changelog including other versions of pandas.
Enhancements#
Added support for new Python version#
pandas 1.1.3 now supports Python 3.9 (GH 36296).
Development Changes#
- The minimum version of Cython is now the most recent bug-fix version (0.29.21) (GH 36296). 
Fixed regressions#
- Fixed regression in - DataFrame.agg(),- DataFrame.apply(),- Series.agg(), and- Series.apply()where internal suffix is exposed to the users when no relabelling is applied (GH 36189)
- Fixed regression in - IntegerArrayunary plus and minus operations raising a- TypeError(GH 36063)
- Fixed regression when adding a - timedelta_range()to a- Timestampraised a- ValueError(GH 35897)
- Fixed regression in - Series.__getitem__()incorrectly raising when the input was a tuple (GH 35534)
- Fixed regression in - Series.__getitem__()incorrectly raising when the input was a frozenset (GH 35747)
- Fixed regression in modulo of - Index,- Seriesand- DataFrameusing- numexprusing C not Python semantics (GH 36047, GH 36526)
- Fixed regression in - read_excel()with- engine="odf"caused- UnboundLocalErrorin some cases where cells had nested child nodes (GH 36122, GH 35802)
- Fixed regression in - DataFrame.replace()inconsistent replace when using a float in the replace method (GH 35376)
- Fixed regression in - Series.loc()on a- Serieswith a- MultiIndexcontaining- Timestampraising- InvalidIndexError(GH 35858)
- Fixed regression in - DataFrameand- Seriescomparisons between numeric arrays and strings (GH 35700, GH 36377)
- Fixed regression in - DataFrame.apply()with- raw=Trueand user-function returning string (GH 35940)
- Fixed regression when setting empty - DataFramecolumn to a- Seriesin preserving name of index in frame (GH 36527)
- Fixed regression in - Periodincorrect value for ordinal over the maximum timestamp (GH 36430)
- Fixed regression in - read_table()raised- ValueErrorwhen- delim_whitespacewas set to- True(GH 35958)
- Fixed regression in - Series.dt.normalize()when normalizing pre-epoch dates the result was shifted one day (GH 36294)
Bug fixes#
- Bug in - read_spss()where passing a- pathlib.Pathas- pathwould raise a- TypeError(GH 33666)
- Bug in - Series.str.startswith()and- Series.str.endswith()with- categorydtype not propagating- naparameter (GH 36241)
- Bug in - Seriesconstructor where integer overflow would occur for sufficiently large scalar inputs when an index was provided (GH 36291)
- Bug in - DataFrame.sort_values()raising an- AttributeErrorwhen sorting on a key that casts column to categorical dtype (GH 36383)
- Bug in - DataFrame.stack()raising a- ValueErrorwhen stacking- MultiIndexcolumns based on position when the levels had duplicate names (GH 36353)
- Bug in - Series.astype()showing too much precision when casting from- np.float32to string dtype (GH 36451)
- Bug in - Series.isin()and- DataFrame.isin()when using- NaNand a row length above 1,000,000 (GH 22205)
- Bug in - cut()raising a- ValueErrorwhen passed a- Seriesof labels with- ordered=False(GH 36603)
Other#
- Reverted enhancement added in pandas-1.1.0 where - timedelta_range()infers a frequency when passed- start,- stop, and- periods(GH 32377)
Contributors#
A total of 16 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.
- Asish Mahapatra 
- Dan Moore + 
- Daniel Saxton 
- Fangchen Li 
- Hans 
- Irv Lustig 
- Joris Van den Bossche 
- Kaiqi Dong 
- MeeseeksMachine 
- Number42 + 
- Pandas Development Team 
- Richard Shadrach 
- Simon Hawkins 
- jbrockmendel 
- nrebena 
- patrick