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v0.24.0.txt
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.. _whatsnew_0240:
v0.24.0
-------
.. _whatsnew_0240.enhancements:
New features
~~~~~~~~~~~~
- ``ExcelWriter`` now accepts ``mode`` as a keyword argument, enabling append to existing workbooks when using the ``openpyxl`` engine (:issue:`3441`)
.. _whatsnew_0240.enhancements.other:
Other Enhancements
^^^^^^^^^^^^^^^^^^
- :func:`to_datetime` now supports the ``%Z`` and ``%z`` directive when passed into ``format`` (:issue:`13486`)
- :func:`Series.mode` and :func:`DataFrame.mode` now support the ``dropna`` parameter which can be used to specify whether NaN/NaT values should be considered (:issue:`17534`)
- :func:`to_csv` now supports ``compression`` keyword when a file handle is passed. (:issue:`21227`)
- :meth:`Index.droplevel` is now implemented also for flat indexes, for compatibility with :class:`MultiIndex` (:issue:`21115`)
.. _whatsnew_0240.api_breaking:
Backwards incompatible API changes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. _whatsnew_0240.api.datetimelike.normalize:
Tick DateOffset Normalize Restrictions
--------------------------------------
Creating a ``Tick`` object (:class:`Day`, :class:`Hour`, :class:`Minute`,
:class:`Second`, :class:`Milli`, :class:`Micro`, :class:`Nano`) with
`normalize=True` is no longer supported. This prevents unexpected behavior
where addition could fail to be monotone or associative. (:issue:`21427`)
.. ipython:: python
ts = pd.Timestamp('2018-06-11 18:01:14')
ts
tic = pd.offsets.Hour(n=2, normalize=True)
tic
Previous Behavior:
.. code-block:: ipython
In [4]: ts + tic
Out [4]: Timestamp('2018-06-11 00:00:00')
In [5]: ts + tic + tic + tic == ts + (tic + tic + tic)
Out [5]: False
Current Behavior:
.. ipython:: python
tic = pd.offsets.Hour(n=2)
ts + tic + tic + tic == ts + (tic + tic + tic)
.. _whatsnew_0240.api.datetimelike:
Datetimelike API Changes
^^^^^^^^^^^^^^^^^^^^^^^^
- For :class:`DatetimeIndex` and :class:`TimedeltaIndex` with non-``None`` ``freq`` attribute, addition or subtraction of integer-dtyped array or ``Index`` will return an object of the same class (:issue:`19959`)
- :class:`DateOffset` objects are now immutable. Attempting to alter one of these will now raise ``AttributeError`` (:issue:`21341`)
.. _whatsnew_0240.api.other:
Other API Changes
^^^^^^^^^^^^^^^^^
.. _whatsnew_0240.api.other.incompatibilities:
Series and Index Data-Dtype Incompatibilities
---------------------------------------------
``Series`` and ``Index`` constructors now raise when the
data is incompatible with a passed ``dtype=`` (:issue:`15832`)
Previous Behavior:
.. code-block:: ipython
In [4]: pd.Series([-1], dtype="uint64")
Out [4]:
0 18446744073709551615
dtype: uint64
Current Behavior:
.. code-block:: ipython
In [4]: pd.Series([-1], dtype="uint64")
Out [4]:
...
OverflowError: Trying to coerce negative values to unsigned integers
- :class:`DatetimeIndex` now accepts :class:`Int64Index` arguments as epoch timestamps (:issue:`20997`)
-
-
.. _whatsnew_0240.deprecations:
Deprecations
~~~~~~~~~~~~
- :meth:`DataFrame.to_stata`, :meth:`read_stata`, :class:`StataReader` and :class:`StataWriter` have deprecated the ``encoding`` argument. The encoding of a Stata dta file is determined by the file type and cannot be changed (:issue:`21244`).
-
-
.. _whatsnew_0240.prior_deprecations:
Removal of prior version deprecations/changes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- The ``LongPanel`` and ``WidePanel`` classes have been removed (:issue:`10892`)
-
-
-
.. _whatsnew_0240.performance:
Performance Improvements
~~~~~~~~~~~~~~~~~~~~~~~~
- Improved performance of :func:`Series.describe` in case of numeric dtpyes (:issue:`21274`)
- Improved performance of :func:`pandas.core.groupby.GroupBy.rank` when dealing with tied rankings (:issue:`21237`)
- Improved performance of :func:`DataFrame.set_index` with columns consisting of :class:`Period` objects (:issue:`21582`)
-
.. _whatsnew_0240.docs:
Documentation Changes
~~~~~~~~~~~~~~~~~~~~~
- Added sphinx spelling extension, updated documentation on how to use the spell check (:issue:`21079`)
-
-
.. _whatsnew_0240.bug_fixes:
Bug Fixes
~~~~~~~~~
Categorical
^^^^^^^^^^^
-
-
-
Datetimelike
^^^^^^^^^^^^
- Fixed bug where two :class:`DateOffset` objects with different ``normalize`` attributes could evaluate as equal (:issue:`21404`)
- Bug in :class:`Index` with ``datetime64[ns, tz]`` dtype that did not localize integer data correctly (:issue:`20964`)
- Bug in :meth:`DatetimeIndex.shift` where an ``AssertionError`` would raise when shifting across DST (:issue:`8616`)
- Bug in :class:`Timestamp` constructor where passing an invalid timezone offset designator (``Z``) would not raise a ``ValueError``(:issue:`8910`)
- Bug in :meth:`Timestamp.replace` where replacing at a DST boundary would retain an incorrect offset (:issue:`7825`)
- Bug in :meth:`DatetimeIndex.reindex` when reindexing a tz-naive and tz-aware :class:`DatetimeIndex` (:issue:`8306`)
- Bug in :meth:`DatetimeIndex.resample` when downsampling across a DST boundary (:issue:`8531`)
Timedelta
^^^^^^^^^
-
-
-
Timezones
^^^^^^^^^
-
-
-
Offsets
^^^^^^^
-
-
Numeric
^^^^^^^
- Bug in :class:`Series` ``__rmatmul__`` doesn't support matrix vector multiplication (:issue:`21530`)
-
-
Strings
^^^^^^^
-
-
-
Indexing
^^^^^^^^
- The traceback from a ``KeyError`` when asking ``.loc`` for a single missing label is now shorter and more clear (:issue:`21557`)
- When ``.ix`` is asked for a missing integer label in a :class:`MultiIndex` with a first level of integer type, it now raises a ``KeyError`` - consistently with the case of a flat :class:`Int64Index` - rather than falling back to positional indexing (:issue:`21593`)
-
-
MultiIndex
^^^^^^^^^^
-
-
-
I/O
^^^
-
-
-
Plotting
^^^^^^^^
-
-
-
Groupby/Resample/Rolling
^^^^^^^^^^^^^^^^^^^^^^^^
- Bug in :func:`pandas.core.groupby.GroupBy.first` and :func:`pandas.core.groupby.GroupBy.last` with ``as_index=False`` leading to the loss of timezone information (:issue:`15884`)
-
-
Sparse
^^^^^^
-
-
-
Reshaping
^^^^^^^^^
-
-
-
ExtensionArray
^^^^^^^^^^^^^^
- :meth:`Series.combine()` works correctly with :class:`~pandas.api.extensions.ExtensionArray` inside of :class:`Series` (:issue:`20825`)
- :meth:`Series.combine()` with scalar argument now works for any function type (:issue:`21248`)
-
-
Other
^^^^^
- :meth: `~pandas.io.formats.style.Styler.background_gradient` now takes a ``text_color_threshold`` parameter to automatically lighten the text color based on the luminance of the background color. This improves readability with dark background colors without the need to limit the background colormap range. (:issue:`21258`)
-
-
-