- Update to 2.2.1
  ## Enhancements
  * Added pyarrow pip extra so users can install pandas and pyarrow
    with pip with pip install pandas[pyarrow] (#54466)
  ## Fixed regressions
  * Fixed memory leak in `read_csv` (#57039)
  * Fixed performance regression in `Series.combine_first` (#55845)
  * Fixed regression causing overflow for near-minimum timestamps
    (#57150)
  * Fixed regression in `concat` changing long-standing behavior
    that always sorted the non-concatenation axis when the axis was
    a `DatetimeIndex` (#57006)
  * Fixed regression in `merge_ordered` raising TypeError for
    fill_method="ffill" and how="left" (#57010)
  * Fixed regression in `pandas.testing.assert_series_equal`
    defaulting to check_exact=True when checking the `Index`
    (#57067)
  * Fixed regression in `read_json` where an `Index` would be
    returned instead of a `RangeIndex` (#57429)
  * Fixed regression in `wide_to_long` raising an AttributeError
    for string columns (#57066)
  * Fixed regression in `.DataFrameGroupBy.idxmin`,
    `.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
    `.SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
  * Fixed regression in `.DataFrameGroupBy.idxmin`,
    `.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
    `.SeriesGroupBy.idxmax` where values containing the minimum or
    maximum value for the dtype could produce incorrect results
    (#57040)
  * Fixed regression in `CategoricalIndex.difference` raising
    KeyError when other contains null values other than NaN
    (#57318)
  * Fixed regression in `DataFrame.groupby` raising ValueError when
    grouping by a `Series` in some cases (#57276)
  * Fixed regression in `DataFrame.loc` raising IndexError for
    non-unique, masked dtype indexes where result has more than
    10,000 rows (#57027)
  * Fixed regression in `DataFrame.loc` which was unnecessarily
    throwing "incompatible dtype warning" when expanding with
    partial row indexer and multiple columns (see PDEP6) (#56503)
  * Fixed regression in `DataFrame.map` with na_action="ignore" not
    being respected for NumPy nullable and `ArrowDtypes` (#57316)
  * Fixed regression in `DataFrame.merge` raising ValueError for
    certain types of 3rd-party extension arrays (#57316)
  * Fixed regression in `DataFrame.query` with all NaT column with
    object dtype (#57068)
  * Fixed regression in `DataFrame.shift` raising AssertionError
    for axis=1 and empty `DataFrame` (#57301)
  * Fixed regression in `DataFrame.sort_index` not producing a
    stable sort for a index with duplicates (#57151)
  * Fixed regression in `DataFrame.to_dict` with orient='list' and
    datetime or timedelta types returning integers (#54824)
  * Fixed regression in `DataFrame.to_json` converting nullable
    integers to floats (#57224)
  * Fixed regression in `DataFrame.to_sql` when method="multi" is
    passed and the dialect type is not Oracle (#57310)
  * Fixed regression in `DataFrame.transpose` with nullable
    extension dtypes not having F-contiguous data potentially
    causing exceptions when used (#57315)
  * Fixed regression in `DataFrame.update` emitting incorrect
    warnings about downcasting (#57124)
  * Fixed regression in `DataFrameGroupBy.idxmin`,
    `DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
    `SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
  * Fixed regression in `DataFrameGroupBy.idxmin`,
    `DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
    `SeriesGroupBy.idxmax` where values containing the minimum or
    maximum value for the dtype could produce incorrect results
    (#57040)
  * Fixed regression in `ExtensionArray.to_numpy` raising for
    non-numeric masked dtypes (#56991)
  * Fixed regression in `Index.join` raising TypeError when joining
    an empty index to a non-empty index containing mixed dtype
    values (#57048)
  * Fixed regression in `Series.astype` introducing decimals when
    converting from integer with missing values to string dtype
    (#57418)
  * Fixed regression in `Series.pct_change` raising a ValueError
    for an empty `Series` (#57056)
  * Fixed regression in `Series.to_numpy` when dtype is given as
    float and the data contains NaNs (#57121)
  * Fixed regression in addition or subtraction of `DateOffset`
    objects with millisecond components to datetime64 `Index`,
    `Series`, or `DataFrame` (#57529)
  ## Bug fixes
  * Fixed bug in `pandas.api.interchange.from_dataframe` which was
    raising for Nullable integers (#55069)
  * Fixed bug in `pandas.api.interchange.from_dataframe` which was
    raising for empty inputs (#56700)
  * Fixed bug in `pandas.api.interchange.from_dataframe` which
    wasn't converting columns names to strings (#55069)
  * Fixed bug in `DataFrame.__getitem__` for empty `DataFrame` with
    Copy-on-Write enabled (#57130)
  * Fixed bug in `PeriodIndex.asfreq` which was silently converting
    frequencies which are not supported as period frequencies
    instead of raising an error (#56945)
  ## Note
  * The DeprecationWarning that was raised when pandas was imported
    without PyArrow being installed has been removed. This decision
    was made because the warning was too noisy for too many users
    and a lot of feedback was collected about the decision to make
    PyArrow a required dependency. Pandas is currently considering
    the decision whether or not PyArrow should be added as a hard
    dependency in 3.0. Interested users can follow the discussion
    here.
  * Added the argument skipna to `DataFrameGroupBy.first`,
    `DataFrameGroupBy.last`, `SeriesGroupBy.first`, and
    `SeriesGroupBy.last`; achieving skipna=False used to be
    available via `DataFrameGroupBy.nth`, but the behavior was
    changed in pandas 2.0.0 (#57019)
  * Added the argument skipna to `Resampler.first`,
    `Resampler.last` (#57019)
- Release notes for 2.2.0
  * For full changelog see
    https://github.com/pandas-dev/pandas/blob/main/doc/source/whatsnew/v2.2.0.rst
  ## Enhancements
  * ADBC Driver support in to_sql and read_sql
  * Create a pandas Series based on one or more conditions
  * to_numpy for NumPy nullable and Arrow types converts to
    suitable NumPy dtype
  * Series.struct accessor for PyArrow structured data
  * Series.list accessor for PyArrow list data
  * Calamine engine for `read_excel`
  ## Notable bug fixes
  * `merge` and `DataFrame.join` now consistently follow documented
    sort behavior
  * `merge` and `DataFrame.join` no longer reorder levels when
    levels differ
  * Increased minimum versions for dependencies
  ## Deprecations
  * Chained assignment
  * Deprecate aliases M, Q, Y, etc. in favour of ME, QE, YE, etc.
    for offsets
  * Deprecated automatic downcasting
- Simplify flavor test setup: obs can evaluate %{shrink:} now

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