What’s new in 1.4.1 (February 12, 2022)¶
These are the changes in pandas 1.4.1. See Release notes for a full changelog including other versions of pandas.
Fixed regressions¶
Regression in
Series.mask()
withinplace=True
andPeriodDtype
and an incompatibleother
coercing to a common dtype instead of raising (GH45546)Regression in
assert_frame_equal()
not respectingcheck_flags=False
(GH45554)Regression in
DataFrame.loc()
raisingValueError
when indexing (getting values) on aMultiIndex
with one level (GH45779)Regression in
Series.fillna()
withdowncast=False
incorrectly downcastingobject
dtype (GH45603)Regression in
api.types.is_bool_dtype()
raising anAttributeError
when evaluating a categoricalSeries
(GH45615)Regression in
DataFrame.iat()
setting values leading to not propagating correctly in subsequent lookups (GH45684)Regression when setting values with
DataFrame.loc()
losingIndex
name ifDataFrame
was empty before (GH45621)Regression in
join()
with overlappingIntervalIndex
raising anInvalidIndexError
(GH45661)Regression when setting values with
Series.loc()
raising with allFalse
indexer andSeries
on the right hand side (GH45778)Regression in
read_sql()
with a DBAPI2 connection that is not an instance ofsqlite3.Connection
incorrectly requiring SQLAlchemy be installed (GH45660)Regression in
DateOffset
when constructing with an integer argument with no keywords (e.g.pd.DateOffset(n)
) would behave likedatetime.timedelta(days=0)
(GH45643, GH45890)
Bug fixes¶
Fixed segfault in
DataFrame.to_json()
when dumping tz-aware datetimes in Python 3.10 (GH42130)Stopped emitting unnecessary
FutureWarning
inDataFrame.sort_values()
with sparse columns (GH45618)Fixed window aggregations in
DataFrame.rolling()
andSeries.rolling()
to skip over unused elements (GH45647)Fixed builtin highlighters in
Styler
to be responsive toNA
with nullable dtypes (GH45804)Bug in
apply()
withaxis=1
raising an erroneousValueError
(GH45912)
Other¶
Reverted performance speedup of
DataFrame.corr()
formethod=pearson
to fix precision regression (GH45640, GH42761)