From b704a565993defc1b5f1e335a3bff044b7a3ab51 Mon Sep 17 00:00:00 2001 From: Tom Augspurger Date: Fri, 17 Jul 2020 10:08:32 -0500 Subject: [PATCH] Doc fixups --- doc/source/reference/groupby.rst | 1 + doc/source/reference/window.rst | 1 + doc/source/whatsnew/v1.1.0.rst | 95 +++++++++++++++----------------- 3 files changed, 46 insertions(+), 51 deletions(-) diff --git a/doc/source/reference/groupby.rst b/doc/source/reference/groupby.rst index 76cb53559f334..ccf130d03418c 100644 --- a/doc/source/reference/groupby.rst +++ b/doc/source/reference/groupby.rst @@ -128,6 +128,7 @@ The following methods are available only for ``SeriesGroupBy`` objects. .. autosummary:: :toctree: api/ + SeriesGroupBy.hist SeriesGroupBy.nlargest SeriesGroupBy.nsmallest SeriesGroupBy.nunique diff --git a/doc/source/reference/window.rst b/doc/source/reference/window.rst index d7e6405a3732b..611c0e0f7f160 100644 --- a/doc/source/reference/window.rst +++ b/doc/source/reference/window.rst @@ -86,3 +86,4 @@ Base class for defining custom window boundaries. api.indexers.BaseIndexer api.indexers.FixedForwardWindowIndexer + api.indexers.VariableOffsetWindowIndexer diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst index cee3680b4bf65..c96ce83fcee7a 100644 --- a/doc/source/whatsnew/v1.1.0.rst +++ b/doc/source/whatsnew/v1.1.0.rst @@ -17,7 +17,7 @@ Enhancements KeyErrors raised by loc specify missing labels ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Previously, if labels were missing for a loc call, a KeyError was raised stating that this was no longer supported. +Previously, if labels were missing for a ``.loc`` call, a KeyError was raised stating that this was no longer supported. Now the error message also includes a list of the missing labels (max 10 items, display width 80 characters). See :issue:`34272`. @@ -124,8 +124,6 @@ compatibility (:issue:`3729`) The default setting of ``dropna`` argument is ``True`` which means ``NA`` are not included in group keys. -.. versionadded:: 1.1.0 - .. _whatsnew_110.key_sorting: @@ -281,17 +279,17 @@ Other enhancements - Added a :func:`pandas.api.indexers.FixedForwardWindowIndexer` class to support forward-looking windows during ``rolling`` operations. - Added a :func:`pandas.api.indexers.VariableOffsetWindowIndexer` class to support ``rolling`` operations with non-fixed offsets (:issue:`34994`) - :meth:`~DataFrame.describe` now includes a ``datetime_is_numeric`` keyword to control how datetime columns are summarized (:issue:`30164`, :issue:`34798`) -- :class:`Styler` may now render CSS more efficiently where multiple cells have the same styling (:issue:`30876`) -- :meth:`Styler.highlight_null` now accepts ``subset`` argument (:issue:`31345`) -- When writing directly to a sqlite connection :func:`to_sql` now supports the ``multi`` method (:issue:`29921`) -- `OptionError` is now exposed in `pandas.errors` (:issue:`27553`) -- Add :meth:`ExtensionArray.argmax` and :meth:`ExtensionArray.argmin` (:issue:`24382`) +- :class:`~pandas.io.formats.style.Styler` may now render CSS more efficiently where multiple cells have the same styling (:issue:`30876`) +- :meth:`~pandas.io.formats.style.Styler.highlight_null` now accepts ``subset`` argument (:issue:`31345`) +- When writing directly to a sqlite connection :meth:`DataFrame.to_sql` now supports the ``multi`` method (:issue:`29921`) +- :class:`pandas.errors.OptionError` is now exposed in ``pandas.errors`` (:issue:`27553`) +- Add :meth:`api.extensions.ExtensionArray.argmax` and :meth:`api.extensions.ExtensionArray.argmin` (:issue:`24382`) - :func:`timedelta_range` will now infer a frequency when passed ``start``, ``stop``, and ``periods`` (:issue:`32377`) - Positional slicing on a :class:`IntervalIndex` now supports slices with ``step > 1`` (:issue:`31658`) - :class:`Series.str` now has a `fullmatch` method that matches a regular expression against the entire string in each row of the series, similar to `re.fullmatch` (:issue:`32806`). - :meth:`DataFrame.sample` will now also allow array-like and BitGenerator objects to be passed to ``random_state`` as seeds (:issue:`32503`) -- :meth:`MultiIndex.union` will now raise `RuntimeWarning` if the object inside are unsortable, pass `sort=False` to suppress this warning (:issue:`33015`) -- :class:`Series.dt` and :class:`DatatimeIndex` now have an `isocalendar` method that returns a :class:`DataFrame` with year, week, and day calculated according to the ISO 8601 calendar (:issue:`33206`, :issue:`34392`). +- :meth:`Index.union` will now raise ``RuntimeWarning`` for :class:`MultiIndex` objects if the object inside are unsortable. Pass ``sort=False`` to suppress this warning (:issue:`33015`) +- Added :meth:`Series.dt.isocalendar` and :meth:`DatetimeIndex.isocalendar` that returns a :class:`DataFrame` with year, week, and day calculated according to the ISO 8601 calendar (:issue:`33206`, :issue:`34392`). - The :meth:`DataFrame.to_feather` method now supports additional keyword arguments (e.g. to set the compression) that are added in pyarrow 0.17 (:issue:`33422`). @@ -305,32 +303,31 @@ Other enhancements - :meth:`melt` has gained an ``ignore_index`` (default ``True``) argument that, if set to ``False``, prevents the method from dropping the index (:issue:`17440`). - :meth:`Series.update` now accepts objects that can be coerced to a :class:`Series`, such as ``dict`` and ``list``, mirroring the behavior of :meth:`DataFrame.update` (:issue:`33215`) -- :meth:`~pandas.core.groupby.GroupBy.transform` and :meth:`~pandas.core.groupby.GroupBy.aggregate` has gained ``engine`` and ``engine_kwargs`` arguments that supports executing functions with ``Numba`` (:issue:`32854`, :issue:`33388`) +- :meth:`~pandas.core.groupby.DataFrameGroupBy.transform` and :meth:`~pandas.core.groupby.DataFrameGroupBy.aggregate` has gained ``engine`` and ``engine_kwargs`` arguments that supports executing functions with ``Numba`` (:issue:`32854`, :issue:`33388`) - :meth:`~pandas.core.resample.Resampler.interpolate` now supports SciPy interpolation method :class:`scipy.interpolate.CubicSpline` as method ``cubicspline`` (:issue:`33670`) -- :class:`~pandas.core.groupby.generic.DataFrameGroupBy` and :class:`~pandas.core.groupby.generic.SeriesGroupBy` now implement the ``sample`` method for doing random sampling within groups (:issue:`31775`) +- :class:`~pandas.core.groupby.DataFrameGroupBy` and :class:`~pandas.core.groupby.SeriesGroupBy` now implement the ``sample`` method for doing random sampling within groups (:issue:`31775`) - :meth:`DataFrame.to_numpy` now supports the ``na_value`` keyword to control the NA sentinel in the output array (:issue:`33820`) -- The ``ExtensionArray`` class has now an :meth:`~pandas.arrays.ExtensionArray.equals` - method, similarly to :meth:`Series.equals` (:issue:`27081`). -- The minimum suppported dta version has increased to 105 in :meth:`~pandas.io.stata.read_stata` and :class:`~pandas.io.stata.StataReader` (:issue:`26667`). -- :meth:`~pandas.core.frame.DataFrame.to_stata` supports compression using the ``compression`` +- Added :class:`api.extension.ExtensionArray.equals` to the extension array interface, similarl to :meth:`Series.equals` (:issue:`27081`). +- The minimum supported dta version has increased to 105 in :meth:`read_stata` and :class:`~pandas.io.stata.StataReader` (:issue:`26667`). +- :meth:`~DataFrame.to_stata` supports compression using the ``compression`` keyword argument. Compression can either be inferred or explicitly set using a string or a dictionary containing both the method and any additional arguments that are passed to the compression library. Compression was also added to the low-level Stata-file writers :class:`~pandas.io.stata.StataWriter`, :class:`~pandas.io.stata.StataWriter117`, and :class:`~pandas.io.stata.StataWriterUTF8` (:issue:`26599`). -- :meth:`HDFStore.put` now accepts `track_times` parameter. Parameter is passed to ``create_table`` method of ``PyTables`` (:issue:`32682`). +- :meth:`HDFStore.put` now accepts a ``track_times`` parameter. Parameter is passed to ``create_table`` method of ``PyTables`` (:issue:`32682`). - :meth:`Series.plot` and :meth:`DataFrame.plot` now accepts `xlabel` and `ylabel` parameters to present labels on x and y axis (:issue:`9093`). -- Make :class:`pandas.core.window.Rolling` and :class:`pandas.core.window.Expanding` iterable（:issue:`11704`) +- Make :class:`pandas.core.window.rolling.Rolling` and :class:`pandas.core.window.expanding.Expanding` iterable（:issue:`11704`) - Make ``option_context`` a :class:`contextlib.ContextDecorator`, which allows it to be used as a decorator over an entire function (:issue:`34253`). - :meth:`DataFrame.to_csv` and :meth:`Series.to_csv` now accept an ``errors`` argument (:issue:`22610`) -- :meth:`groupby.transform` now allows ``func`` to be ``pad``, ``backfill`` and ``cumcount`` (:issue:`31269`). -- :meth:`~pandas.io.json.read_json` now accepts `nrows` parameter. (:issue:`33916`). -- :meth:`DataFrame.hist`, :meth:`Series.hist`, :meth:`core.groupby.DataFrameGroupBy.hist`, and :meth:`core.groupby.SeriesGroupBy.hist` have gained the ``legend`` argument. Set to True to show a legend in the histogram. (:issue:`6279`) +- :meth:`~pandas.core.groupby.DataFrameGroupBy.groupby.transform` now allows ``func`` to be ``pad``, ``backfill`` and ``cumcount`` (:issue:`31269`). +- :meth:`read_json` now accepts an ``nrows`` parameter. (:issue:`33916`). +- :meth:`DataFrame.hist`, :meth:`Series.hist`, :meth:`core.groupby.DataFrameGroupBy.hist`, and :meth:`core.groupby.SeriesGroupBy.hist` have gained the ``legend`` argument. Set to True to show a legend in the histogram. (:issue:`6279`)0 - :func:`concat` and :meth:`~DataFrame.append` now preserve extension dtypes, for example combining a nullable integer column with a numpy integer column will no longer result in object dtype but preserve the integer dtype (:issue:`33607`, :issue:`34339`, :issue:`34095`). -- :meth:`~pandas.io.gbq.read_gbq` now allows to disable progress bar (:issue:`33360`). -- :meth:`~pandas.io.gbq.read_gbq` now supports the ``max_results`` kwarg from ``pandas-gbq`` (:issue:`34639`). +- :meth:`read_gbq` now allows to disable progress bar (:issue:`33360`). +- :meth:`read_gbq` now supports the ``max_results`` kwarg from ``pandas-gbq`` (:issue:`34639`). - :meth:`DataFrame.cov` and :meth:`Series.cov` now support a new parameter ddof to support delta degrees of freedom as in the corresponding numpy methods (:issue:`34611`). - :meth:`DataFrame.to_html` and :meth:`DataFrame.to_string`'s ``col_space`` parameter now accepts a list or dict to change only some specific columns' width (:issue:`28917`). - :meth:`DataFrame.to_excel` can now also write OpenOffice spreadsheet (.ods) files (:issue:`27222`) @@ -350,7 +347,7 @@ Notable bug fixes These are bug fixes that might have notable behavior changes. -``MultiIndex.get_indexer`` interprets `method` argument differently +``MultiIndex.get_indexer`` interprets ``method`` argument correctly ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ This restores the behavior of :meth:`MultiIndex.get_indexer` with ``method='backfill'`` or ``method='pad'`` to the behavior before pandas 0.23.0. In particular, MultiIndexes are treated as a list of tuples and padding or backfilling is done with respect to the ordering of these lists of tuples (:issue:`29896`). @@ -410,8 +407,6 @@ And the differences in reindexing ``df`` with ``mi_2`` and using ``method='pad'` df.reindex(mi_2, method='pad') -- - .. _whatsnew_110.notable_bug_fixes.indexing_raises_key_errors: Failed Label-Based Lookups Always Raise KeyError @@ -521,8 +516,10 @@ those integer keys is not present in the first level of the index (:issue:`33539 .. ipython:: python - left_df = pd.DataFrame({'animal': ['dog', 'pig'], 'max_speed': [40, 11]}) - right_df = pd.DataFrame({'animal': ['quetzal', 'pig'], 'max_speed': [80, 11]}) + left_df = pd.DataFrame({'animal': ['dog', 'pig'], + 'max_speed': [40, 11]}) + right_df = pd.DataFrame({'animal': ['quetzal', 'pig'], + 'max_speed': [80, 11]}) left_df right_df @@ -621,7 +618,7 @@ Using :meth:`DataFrame.groupby` with ``as_index=False`` and the function ``idxma df.groupby("a", as_index=False).nunique() -The method :meth:`core.DataFrameGroupBy.size` would previously ignore ``as_index=False``. Now the grouping columns are returned as columns, making the result a `DataFrame` instead of a `Series`. (:issue:`32599`) +The method :meth:`~pandas.core.groupby.DataFrameGroupBy.size` would previously ignore ``as_index=False``. Now the grouping columns are returned as columns, making the result a `DataFrame` instead of a `Series`. (:issue:`32599`) *Previous behavior*: @@ -642,11 +639,11 @@ The method :meth:`core.DataFrameGroupBy.size` would previously ignore ``as_index .. _whatsnew_110.api_breaking.groupby_results_lost_as_index_false: -:meth:`DataFrameGroupby.agg` lost results with ``as_index`` ``False`` when relabeling columns -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +:meth:`~pandas.core.groupby.DataFrameGroupby.agg` lost results with ``as_index=False`` when relabeling columns +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Previously :meth:`DataFrameGroupby.agg` lost the result columns, when the ``as_index`` option was -set to ``False`` and the result columns were relabeled. In this case he result values were replaced with +Previously :meth:`~pandas.core.groupby.DataFrameGroupby.agg` lost the result columns, when the ``as_index`` option was +set to ``False`` and the result columns were relabeled. In this case the result values were replaced with the previous index (:issue:`32240`). .. ipython:: python @@ -811,7 +808,7 @@ Deprecations positional arguments is deprecated since version 1.1. All other arguments should be given as keyword arguments (:issue:`27573`). -- Passing any arguments but `path_or_buf` (the first one) to +- Passing any arguments but ``path_or_buf`` (the first one) to :func:`read_json` as positional arguments is deprecated since version 1.1. All other arguments should be given as keyword arguments (:issue:`27573`). @@ -820,23 +817,20 @@ Deprecations positional arguments is deprecated since version 1.1. All other arguments should be given as keyword arguments (:issue:`27573`). -- :func:`pandas.api.types.is_categorical` is deprecated and will be removed in a future version; use `:func:pandas.api.types.is_categorical_dtype` instead (:issue:`33385`) +- :func:`pandas.api.types.is_categorical` is deprecated and will be removed in a future version; use :func:`pandas.api.types.is_categorical_dtype` instead (:issue:`33385`) - :meth:`Index.get_value` is deprecated and will be removed in a future version (:issue:`19728`) - :meth:`Series.dt.week` and `Series.dt.weekofyear` are deprecated and will be removed in a future version, use :meth:`Series.dt.isocalendar().week` instead (:issue:`33595`) -- :meth:`DatetimeIndex.week` and `DatetimeIndex.weekofyear` are deprecated and will be removed in a future version, use :meth:`DatetimeIndex.isocalendar().week` instead (:issue:`33595`) -- :meth:`DatetimeArray.week` and `DatetimeArray.weekofyear` are deprecated and will be removed in a future version, use :meth:`DatetimeArray.isocalendar().week` instead (:issue:`33595`) +- :meth:`DatetimeIndex.week` and ``DatetimeIndex.weekofyear`` are deprecated and will be removed in a future version, use ``DatetimeIndex.isocalendar().week`` instead (:issue:`33595`) +- :meth:`DatetimeArray.week` and ``DatetimeArray.weekofyear`` are deprecated and will be removed in a future version, use ``DatetimeArray.isocalendar().week`` instead (:issue:`33595`) - :meth:`DateOffset.__call__` is deprecated and will be removed in a future version, use ``offset + other`` instead (:issue:`34171`) -- :meth:`~BusinessDay.apply_index` is deprecated and will be removed in a future version. Use ``offset + other`` instead (:issue:`34580`) +- :meth:`~pandas.tseries.offsets.BusinessDay.apply_index` is deprecated and will be removed in a future version. Use ``offset + other`` instead (:issue:`34580`) - :meth:`DataFrame.tshift` and :meth:`Series.tshift` are deprecated and will be removed in a future version, use :meth:`DataFrame.shift` and :meth:`Series.shift` instead (:issue:`11631`) - Indexing an :class:`Index` object with a float key is deprecated, and will raise an ``IndexError`` in the future. You can manually convert to an integer key instead (:issue:`34191`). -- The ``squeeze`` keyword in the ``groupby`` function is deprecated and will be removed in a future version (:issue:`32380`) -- The ``tz`` keyword in :meth:`Period.to_timestamp` is deprecated and will be removed in a future version; use `per.to_timestamp(...).tz_localize(tz)`` instead (:issue:`34522`) +- The ``squeeze`` keyword in :meth:`~DataFrame.groupby` is deprecated and will be removed in a future version (:issue:`32380`) +- The ``tz`` keyword in :meth:`Period.to_timestamp` is deprecated and will be removed in a future version; use ``per.to_timestamp(...).tz_localize(tz)`` instead (:issue:`34522`) - :meth:`DatetimeIndex.to_perioddelta` is deprecated and will be removed in a future version. Use ``index - index.to_period(freq).to_timestamp()`` instead (:issue:`34853`) -- :meth:`util.testing.assert_almost_equal` now accepts both relative and absolute - precision through the ``rtol``, and ``atol`` parameters, thus deprecating the - ``check_less_precise`` parameter. (:issue:`13357`). - :func:`DataFrame.melt` accepting a value_name that already exists is deprecated, and will be removed in a future version (:issue:`34731`) - the ``center`` keyword in the :meth:`DataFrame.expanding` function is deprecated and will be removed in a future version (:issue:`20647`) @@ -928,10 +922,10 @@ Timedelta ^^^^^^^^^ - Bug in constructing a :class:`Timedelta` with a high precision integer that would round the :class:`Timedelta` components (:issue:`31354`) -- Bug in dividing ``np.nan`` or ``None`` by :class:`Timedelta`` incorrectly returning ``NaT`` (:issue:`31869`) +- Bug in dividing ``np.nan`` or ``None`` by :class:`Timedelta` incorrectly returning ``NaT`` (:issue:`31869`) - Timedeltas now understand ``µs`` as identifier for microsecond (:issue:`32899`) - :class:`Timedelta` string representation now includes nanoseconds, when nanoseconds are non-zero (:issue:`9309`) -- Bug in comparing a :class:`Timedelta`` object against a ``np.ndarray`` with ``timedelta64`` dtype incorrectly viewing all entries as unequal (:issue:`33441`) +- Bug in comparing a :class:`Timedelta` object against a ``np.ndarray`` with ``timedelta64`` dtype incorrectly viewing all entries as unequal (:issue:`33441`) - Bug in :func:`timedelta_range` that produced an extra point on a edge case (:issue:`30353`, :issue:`33498`) - Bug in :meth:`DataFrame.resample` that produced an extra point on a edge case (:issue:`30353`, :issue:`13022`, :issue:`33498`) - Bug in :meth:`DataFrame.resample` that ignored the ``loffset`` argument when dealing with timedelta (:issue:`7687`, :issue:`33498`) @@ -969,12 +963,11 @@ Strings - Bug in the :meth:`~Series.astype` method when converting "string" dtype data to nullable integer dtype (:issue:`32450`). - Fixed issue where taking ``min`` or ``max`` of a ``StringArray`` or ``Series`` with ``StringDtype`` type would raise. (:issue:`31746`) - Bug in :meth:`Series.str.cat` returning ``NaN`` output when other had :class:`Index` type (:issue:`33425`) -- :func: `pandas.api.dtypes.is_string_dtype` no longer incorrectly identifies categorical series as string. +- :func:`pandas.api.dtypes.is_string_dtype` no longer incorrectly identifies categorical series as string. Interval ^^^^^^^^ - Bug in :class:`IntervalArray` incorrectly allowing the underlying data to be changed when setting values (:issue:`32782`) -- Indexing ^^^^^^^^ @@ -999,8 +992,8 @@ Indexing - Bug in :meth:`DataFrame.copy` _item_cache not invalidated after copy causes post-copy value updates to not be reflected (:issue:`31784`) - Fixed regression in :meth:`DataFrame.loc` and :meth:`Series.loc` throwing an error when a ``datetime64[ns, tz]`` value is provided (:issue:`32395`) - Bug in `Series.__getitem__` with an integer key and a :class:`MultiIndex` with leading integer level failing to raise ``KeyError`` if the key is not present in the first level (:issue:`33355`) -- Bug in :meth:`DataFrame.iloc` when slicing a single column-:class:`DataFrame`` with ``ExtensionDtype`` (e.g. ``df.iloc[:, :1]``) returning an invalid result (:issue:`32957`) -- Bug in :meth:`DatetimeIndex.insert` and :meth:`TimedeltaIndex.insert` causing index ``freq`` to be lost when setting an element into an empty :class:`Series` (:issue:33573`) +- Bug in :meth:`DataFrame.iloc` when slicing a single column-:class:`DataFrame` with ``ExtensionDtype`` (e.g. ``df.iloc[:, :1]``) returning an invalid result (:issue:`32957`) +- Bug in :meth:`DatetimeIndex.insert` and :meth:`TimedeltaIndex.insert` causing index ``freq`` to be lost when setting an element into an empty :class:`Series` (:issue:`33573`) - Bug in :meth:`Series.__setitem__` with an :class:`IntervalIndex` and a list-like key of integers (:issue:`33473`) - Bug in :meth:`Series.__getitem__` allowing missing labels with ``np.ndarray``, :class:`Index`, :class:`Series` indexers but not ``list``, these now all raise ``KeyError`` (:issue:`33646`) - Bug in :meth:`DataFrame.truncate` and :meth:`Series.truncate` where index was assumed to be monotone increasing (:issue:`33756`) @@ -1085,7 +1078,7 @@ I/O - :meth:`read_json` now could read line-delimited json file from a file url while `lines` and `chunksize` are set. - Bug in :meth:`DataFrame.to_sql` when reading DataFrames with ``-np.inf`` entries with MySQL now has a more explicit ``ValueError`` (:issue:`34431`) - Bug in :meth:`read_excel` that was raising a ``TypeError`` when ``header=None`` and ``index_col`` given as list (:issue:`31783`) -- Bug in "meth"`read_excel` where datetime values are used in the header in a `MultiIndex` (:issue:`34748`) +- Bug in :meth:`read_excel` where datetime values are used in the header in a `MultiIndex` (:issue:`34748`) - :func:`read_excel` no longer takes ``**kwds`` arguments. This means that passing in keyword ``chunksize`` now raises a ``TypeError`` (previously raised a ``NotImplementedError``), while passing in keyword ``encoding`` now raises a ``TypeError`` (:issue:`34464`) Plotting @@ -1191,7 +1184,7 @@ Other - Bug in :class:`DataFrame` when initiating a frame with lists and assign ``columns`` with nested list for ``MultiIndex`` (:issue:`32173`) - Bug in :meth:`DataFrame.to_records` incorrectly losing timezone information in timezone-aware ``datetime64`` columns (:issue:`32535`) - Fixed :func:`pandas.testing.assert_series_equal` to correctly raise if left object is a different subclass with ``check_series_type=True`` (:issue:`32670`). -- :meth:`IntegerArray.astype` now supports ``datetime64`` dtype (:issue:32538`) +- :meth:`IntegerArray.astype` now supports ``datetime64`` dtype (:issue:`32538`) - Getting a missing attribute in a query/eval string raises the correct ``AttributeError`` (:issue:`32408`) - Fixed bug in :func:`pandas.testing.assert_series_equal` where dtypes were checked for ``Interval`` and ``ExtensionArray`` operands when ``check_dtype`` was ``False`` (:issue:`32747`) - Bug in :meth:`Series.map` not raising on invalid ``na_action`` (:issue:`32815`)