What’s new in 1.1.5 (December 07, 2020)

These are the changes in pandas 1.1.5. See Release notes for a full changelog including other versions of pandas.

Fixed regressions

• Fixed regression in addition of a timedelta-like scalar to a DatetimeIndex raising incorrectly (GH 37295)

• Fixed regression in Series.groupby() raising when the Index of the Series had a tuple as its name (GH 37755)

• Fixed regression in DataFrame.loc() and Series.loc() for __setitem__ when one-dimensional tuple was given to select from MultiIndex (GH 37711)

• Fixed regression in inplace operations on Series with ExtensionDtype with NumPy dtyped operand (GH 37910)

• Fixed regression in metadata propagation for groupby iterator (GH 37343)

• Fixed regression in MultiIndex constructed from a DatetimeIndex not retaining frequency (GH 35563)

• Fixed regression in Index constructor raising a AttributeError when passed a SparseArray with datetime64 values (GH 35843)

• Fixed regression in DataFrame.unstack() with columns with integer dtype (GH 37115)

• Fixed regression in indexing on a Series with CategoricalDtype after unpickling (GH 37631)

• Fixed regression in DataFrame.groupby() aggregation with out-of-bounds datetime objects in an object-dtype column (GH 36003)

• Fixed regression in df.groupby(..).rolling(..) with the resulting MultiIndex when grouping by a label that is in the index (GH 37641)

• Fixed regression in DataFrame.fillna() not filling NaN after other operations such as DataFrame.pivot() (GH 36495).

• Fixed performance regression in df.groupby(..).rolling(..) (GH 38038)

• Fixed regression in MultiIndex.intersection() returning duplicates when at least one of the indexes had duplicates (GH 36915)

• Fixed regression in DataFrameGroupBy.first(), SeriesGroupBy.first(), DataFrameGroupBy.last(), and SeriesGroupBy.last() where None was considered a non-NA value (GH 38286)

Bug fixes

• Bug in pytables methods in python 3.9 (GH 38041)

Other

• Only set -Werror as a compiler flag in the CI jobs (GH 33315, GH 33314)

Contributors

For contributors, please see /usr/share/doc/contributors_list.txt or https://github.com/pandas-dev/pandas/graphs/contributors