diff --git a/doc/source/whatsnew/v1.5.0.rst b/doc/source/whatsnew/v1.5.0.rst index 10802850714df..713863204f1a5 100644 --- a/doc/source/whatsnew/v1.5.0.rst +++ b/doc/source/whatsnew/v1.5.0.rst @@ -37,8 +37,8 @@ Other enhancements - :meth:`to_numeric` now preserves float64 arrays when downcasting would generate values not representable in float32 (:issue:`43693`) - :meth:`Series.reset_index` and :meth:`DataFrame.reset_index` now support the argument ``allow_duplicates`` (:issue:`44410`) - :meth:`.GroupBy.min` and :meth:`.GroupBy.max` now supports `Numba `_ execution with the ``engine`` keyword (:issue:`45428`) -- Implemented a ``bool``-dtype :class:`Index`, passing a bool-dtype arraylike to ``pd.Index`` will now retain ``bool`` dtype instead of casting to ``object`` (:issue:`45061`) -- Implemented a complex-dtype :class:`Index`, passing a complex-dtype arraylike to ``pd.Index`` will now retain complex dtype instead of casting to ``object`` (:issue:`45845`) +- Implemented a ``bool``-dtype :class:`Index`, passing a bool-dtype array-like to ``pd.Index`` will now retain ``bool`` dtype instead of casting to ``object`` (:issue:`45061`) +- Implemented a complex-dtype :class:`Index`, passing a complex-dtype array-like to ``pd.Index`` will now retain complex dtype instead of casting to ``object`` (:issue:`45845`) - @@ -68,34 +68,7 @@ notable_bug_fix2 Backwards incompatible API changes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -.. _whatsnew_150.api_breaking.deps: - -Increased minimum versions for dependencies -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Some minimum supported versions of dependencies were updated. -If installed, we now require: - -+-----------------+-----------------+----------+---------+ -| Package | Minimum Version | Required | Changed | -+=================+=================+==========+=========+ -| mypy (dev) | 0.931 | | X | -+-----------------+-----------------+----------+---------+ - - -For `optional libraries `_ the general recommendation is to use the latest version. -The following table lists the lowest version per library that is currently being tested throughout the development of pandas. -Optional libraries below the lowest tested version may still work, but are not considered supported. - -+-----------------+-----------------+---------+ -| Package | Minimum Version | Changed | -+=================+=================+=========+ -| | | X | -+-----------------+-----------------+---------+ - -See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more. - - -.. _whatsnew_150.read_xml_dtypes: +.. _whatsnew_150.api_breaking.read_xml_dtypes: read_xml now supports ``dtype``, ``converters``, and ``parse_dates`` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -136,6 +109,37 @@ apply converter methods, and parse dates (:issue:`43567`). df df.dtypes +.. _whatsnew_150.api_breaking.api_breaking2: + +api_breaking_change2 +^^^^^^^^^^^^^^^^^^^^ + +.. _whatsnew_150.api_breaking.deps: + +Increased minimum versions for dependencies +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Some minimum supported versions of dependencies were updated. +If installed, we now require: + ++-----------------+-----------------+----------+---------+ +| Package | Minimum Version | Required | Changed | ++=================+=================+==========+=========+ +| mypy (dev) | 0.931 | | X | ++-----------------+-----------------+----------+---------+ + + +For `optional libraries `_ the general recommendation is to use the latest version. +The following table lists the lowest version per library that is currently being tested throughout the development of pandas. +Optional libraries below the lowest tested version may still work, but are not considered supported. + ++-----------------+-----------------+---------+ +| Package | Minimum Version | Changed | ++=================+=================+=========+ +| | | X | ++-----------------+-----------------+---------+ + +See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more. + .. _whatsnew_150.api_breaking.other: Other API changes @@ -214,7 +218,7 @@ The following attributes are now public and considered safe to access. - ``supported_extensions`` The following attributes have been deprecated. They now raise a ``FutureWarning`` -when accessed and will removed in a future version. Users should be aware +when accessed and will be removed in a future version. Users should be aware that their usage is considered unsafe, and can lead to unexpected results. - ``cur_sheet`` @@ -231,7 +235,7 @@ Other Deprecations ^^^^^^^^^^^^^^^^^^ - Deprecated the keyword ``line_terminator`` in :meth:`DataFrame.to_csv` and :meth:`Series.to_csv`, use ``lineterminator`` instead; this is for consistency with :func:`read_csv` and the standard library 'csv' module (:issue:`9568`) - Deprecated behavior of :meth:`SparseArray.astype`, :meth:`Series.astype`, and :meth:`DataFrame.astype` with :class:`SparseDtype` when passing a non-sparse ``dtype``. In a future version, this will cast to that non-sparse dtype instead of wrapping it in a :class:`SparseDtype` (:issue:`34457`) -- Deprecated behavior of :meth:`DatetimeIndex.intersection` and :meth:`DatetimeIndex.symmetric_difference` (``union`` behavior was already deprecated in version 1.3.0) with mixed timezones; in a future version both will be cast to UTC instead of object dtype (:issue:`39328`, :issue:`45357`) +- Deprecated behavior of :meth:`DatetimeIndex.intersection` and :meth:`DatetimeIndex.symmetric_difference` (``union`` behavior was already deprecated in version 1.3.0) with mixed time zones; in a future version both will be cast to UTC instead of object dtype (:issue:`39328`, :issue:`45357`) - Deprecated :meth:`DataFrame.iteritems`, :meth:`Series.iteritems`, :meth:`HDFStore.iteritems` in favor of :meth:`DataFrame.items`, :meth:`Series.items`, :meth:`HDFStore.items` (:issue:`45321`) - Deprecated :meth:`Series.is_monotonic` and :meth:`Index.is_monotonic` in favor of :meth:`Series.is_monotonic_increasing` and :meth:`Index.is_monotonic_increasing` (:issue:`45422`, :issue:`21335`) - Deprecated the ``__array_wrap__`` method of DataFrame and Series, rely on standard numpy ufuncs instead (:issue:`45451`) @@ -277,15 +281,15 @@ Timedelta ^^^^^^^^^ - -Timezones -^^^^^^^^^ +Time Zones +^^^^^^^^^^ - - Numeric ^^^^^^^ - Bug in operations with array-likes with ``dtype="boolean"`` and :attr:`NA` incorrectly altering the array in-place (:issue:`45421`) -- Bug in multiplying a :class:`Series` with ``IntegerDtype`` or ``FloatingDtype`` by an arraylike with ``timedelta64[ns]`` dtype incorrectly raising (:issue:`45622`) +- Bug in multiplying a :class:`Series` with ``IntegerDtype`` or ``FloatingDtype`` by an array-like with ``timedelta64[ns]`` dtype incorrectly raising (:issue:`45622`) - Conversion @@ -312,7 +316,7 @@ Indexing - Bug in :meth:`loc.__getitem__` with a list of keys causing an internal inconsistency that could lead to a disconnect between ``frame.at[x, y]`` vs ``frame[y].loc[x]`` (:issue:`22372`) - Bug in :meth:`DataFrame.iloc` where indexing a single row on a :class:`DataFrame` with a single ExtensionDtype column gave a copy instead of a view on the underlying data (:issue:`45241`) - Bug in setting a NA value (``None`` or ``np.nan``) into a :class:`Series` with int-based :class:`IntervalDtype` incorrectly casting to object dtype instead of a float-based :class:`IntervalDtype` (:issue:`45568`) -- Bug in :meth:`Series.__setitem__` with a non-integer :class:`Index` when using an integer key to set a value that cannot be set inplace where a ``ValueError`` was raised insead of casting to a common dtype (:issue:`45070`) +- Bug in :meth:`Series.__setitem__` with a non-integer :class:`Index` when using an integer key to set a value that cannot be set inplace where a ``ValueError`` was raised instead of casting to a common dtype (:issue:`45070`) - Bug in :meth:`Series.__setitem__` when setting incompatible values into a ``PeriodDtype`` or ``IntervalDtype`` :class:`Series` raising when indexing with a boolean mask but coercing when indexing with otherwise-equivalent indexers; these now consistently coerce, along with :meth:`Series.mask` and :meth:`Series.where` (:issue:`45768`) - Bug in :meth:`Series.loc.__setitem__` and :meth:`Series.loc.__getitem__` not raising when using multiple keys without using a :class:`MultiIndex` (:issue:`13831`) - Bug when setting a value too large for a :class:`Series` dtype failing to coerce to a common type (:issue:`26049`, :issue:`32878`) @@ -325,12 +329,13 @@ Indexing - Bug in indexing on a :class:`DatetimeIndex` with a ``np.str_`` key incorrectly raising (:issue:`45580`) - Bug in :meth:`CategoricalIndex.get_indexer` when index contains ``NaN`` values, resulting in elements that are in target but not present in the index to be mapped to the index of the NaN element, instead of -1 (:issue:`45361`) - Bug in setting large integer values into :class:`Series` with ``float32`` or ``float16`` dtype incorrectly altering these values instead of coercing to ``float64`` dtype (:issue:`45844`) +- Bug in :meth:`Series.asof` and :meth:`DataFrame.asof` incorrectly casting bool-dtype results to ``float64`` dtype (:issue:`16063`) - Missing ^^^^^^^ - Bug in :meth:`Series.fillna` and :meth:`DataFrame.fillna` with ``downcast`` keyword not being respected in some cases where there are no NA values present (:issue:`45423`) -- Bug in :meth:`Series.fillna` and :meth:`DataFrame.fillna` with :class:`IntervalDtype` and incompatible value raising instead of casting to a common (usually object) dtype (:issue:`??`) +- Bug in :meth:`Series.fillna` and :meth:`DataFrame.fillna` with :class:`IntervalDtype` and incompatible value raising instead of casting to a common (usually object) dtype (:issue:`45796`) - Bug in :meth:`DataFrame.interpolate` with object-dtype column not returning a copy with ``inplace=False`` (:issue:`45791`) - @@ -384,13 +389,11 @@ ExtensionArray Styler ^^^^^^ -- Minor bug when attempting to apply styling functions to an empty DataFrame subset (:issue:`45313`) +- Bug when attempting to apply styling functions to an empty DataFrame subset (:issue:`45313`) - Other ^^^^^ -- Bug in :meth:`Series.asof` and :meth:`DataFrame.asof` incorrectly casting bool-dtype results to ``float64`` dtype (:issue:`16063`) -- .. ***DO NOT USE THIS SECTION***