From 621a5138cdde6144556f3d84469173703f94a910 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Wed, 11 Mar 2020 14:45:29 +0100 Subject: [PATCH] DOC: fix formatting / links of API refs in 1.0.2 whatsnew (#32620) --- doc/source/whatsnew/v1.0.2.rst | 21 ++++++++++++--------- 1 file changed, 12 insertions(+), 9 deletions(-) diff --git a/doc/source/whatsnew/v1.0.2.rst b/doc/source/whatsnew/v1.0.2.rst index ca693ff177e3b..d7499bba55c97 100644 --- a/doc/source/whatsnew/v1.0.2.rst +++ b/doc/source/whatsnew/v1.0.2.rst @@ -17,16 +17,17 @@ Fixed regressions - Fixed regression in :meth:`DataFrame.to_excel` when ``columns`` kwarg is passed (:issue:`31677`) - Fixed regression in :meth:`Series.align` when ``other`` is a DataFrame and ``method`` is not None (:issue:`31785`) -- Fixed regression in :meth:`pandas.core.groupby.RollingGroupby.apply` where the ``raw`` parameter was ignored (:issue:`31754`) -- Fixed regression in :meth:`pandas.core.window.Rolling.corr` when using a time offset (:issue:`31789`) -- Fixed regression in :meth:`pandas.core.groupby.DataFrameGroupBy.nunique` which was modifying the original values if ``NaN`` values were present (:issue:`31950`) +- Fixed regression in ``groupby(..).rolling(..).apply()`` (``RollingGroupby``) where the ``raw`` parameter was ignored (:issue:`31754`) +- Fixed regression in :meth:`rolling(..).corr() ` when using a time offset (:issue:`31789`) +- Fixed regression in :meth:`groupby(..).nunique() ` which was modifying the original values if ``NaN`` values were present (:issue:`31950`) - Fixed regression where :func:`read_pickle` raised a ``UnicodeDecodeError`` when reading a py27 pickle with :class:`MultiIndex` column (:issue:`31988`). - Fixed regression in :class:`DataFrame` arithmetic operations with mis-matched columns (:issue:`31623`) -- Fixed regression in :meth:`pandas.core.groupby.GroupBy.agg` calling a user-provided function an extra time on an empty input (:issue:`31760`) -- Joining on :class:`DatetimeIndex` or :class:`TimedeltaIndex` will preserve ``freq`` in simple cases (:issue:`32166`) -- Fixed bug in the repr of an object-dtype :class:`Index` with bools and missing values (:issue:`32146`) +- Fixed regression in :meth:`groupby(..).agg() ` calling a user-provided function an extra time on an empty input (:issue:`31760`) +- Fixed regression in joining on :class:`DatetimeIndex` or :class:`TimedeltaIndex` to preserve ``freq`` in simple cases (:issue:`32166`) +- Fixed regression in the repr of an object-dtype :class:`Index` with bools and missing values (:issue:`32146`) - Fixed regression in :meth:`read_csv` in which the ``encoding`` option was not recognized with certain file-like objects (:issue:`31819`) -- +- Fixed regression in :meth:`DataFrame.reindex` and :meth:`Series.reindex` when reindexing with (tz-aware) index and ``method=nearest`` (:issue:`26683`) + .. --------------------------------------------------------------------------- @@ -64,7 +65,7 @@ Bug fixes **Datetimelike** -- Bug in :meth:`DataFrame.reindex` and :meth:`Series.reindex` when reindexing with a tz-aware index (:issue:`26683`) +- Bug in :meth:`Series.astype` not copying for tz-naive and tz-aware datetime64 dtype (:issue:`32490`) - Bug where :func:`to_datetime` would raise when passed ``pd.NA`` (:issue:`32213`) - Improved error message when subtracting two :class:`Timestamp` that result in an out-of-bounds :class:`Timedelta` (:issue:`31774`) @@ -82,7 +83,9 @@ Bug fixes **Experimental dtypes** -- Fix bug in :meth:`DataFrame.convert_dtypes` for columns that were already using the ``"string"`` dtype (:issue:`31731`). +- Fixed bug in :meth:`DataFrame.convert_dtypes` for columns that were already using the ``"string"`` dtype (:issue:`31731`). +- Fixed bug in :meth:`DataFrame.convert_dtypes` for series with mix of integers and strings (:issue:`32117`) +- Fixed bug in :meth:`DataFrame.convert_dtypes` where ``BooleanDtype`` columns were converted to ``Int64`` (:issue:`32287`) - Fixed bug in setting values using a slice indexer with string dtype (:issue:`31772`) - Fixed bug where :meth:`pandas.core.groupby.GroupBy.first` and :meth:`pandas.core.groupby.GroupBy.last` would raise a ``TypeError`` when groups contained ``pd.NA`` in a column of object dtype (:issue:`32123`) - Fix bug in :meth:`Series.convert_dtypes` for series with mix of integers and strings (:issue:`32117`)