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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.extension_array_operators
``ExtensionArray`` operator support
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
A ``Series`` based on an ``ExtensionArray`` now supports arithmetic and comparison
operators. (:issue:`19577`). There are two approaches for providing operator support for an ``ExtensionArray``:
1. Define each of the operators on your ``ExtensionArray`` subclass.
2. Use an operator implementation from pandas that depends on operators that are already defined
on the underlying elements (scalars) of the ``ExtensionArray``.
See the :ref:`ExtensionArray Operator Support
<extending.extension.operator>` documentation section for details on both
ways of adding operator support.
.. _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`)
- Added support for reading from Google Cloud Storage via the ``gcsfs`` library (:issue:`19454`)
- :func:`to_gbq` and :func:`read_gbq` signature and documentation updated to
reflect changes from the `Pandas-GBQ library version 0.5.0
<https://pandas-gbq.readthedocs.io/en/latest/changelog.html#changelog-0-5-0>`__.
(:issue:`21627`)
- New method :meth:`HDFStore.walk` will recursively walk the group hierarchy of an HDF5 file (:issue:`10932`)
- :meth:`Series.nlargest`, :meth:`Series.nsmallest`, :meth:`DataFrame.nlargest`, and :meth:`DataFrame.nsmallest` now accept the value ``"all"`` for the ``keep` argument. This keeps all ties for the nth largest/smallest value (:issue:`16818`)
-
.. _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:
.. _whatsnew_0240.api.period_subtraction:
Period Subtraction
^^^^^^^^^^^^^^^^^^
Subtraction of a ``Period`` from another ``Period`` will give a ``DateOffset``.
instead of an integer (:issue:`21314`)
.. ipython:: python
june = pd.Period('June 2018')
april = pd.Period('April 2018')
june - april
Previous Behavior:
.. code-block:: ipython
In [2]: june = pd.Period('June 2018')
In [3]: april = pd.Period('April 2018')
In [4]: june - april
Out [4]: 2
Similarly, subtraction of a ``Period`` from a ``PeriodIndex`` will now return
an ``Index`` of ``DateOffset`` objects instead of an ``Int64Index``
.. ipython:: python
pi = pd.period_range('June 2018', freq='M', periods=3)
pi - pi[0]
Previous Behavior:
.. code-block:: ipython
In [2]: pi = pd.period_range('June 2018', freq='M', periods=3)
In [3]: pi - pi[0]
Out[3]: Int64Index([0, 1, 2], dtype='int64')
.. _whatsnew_0240.api.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
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`)
- :class:`PeriodIndex` subtraction of another ``PeriodIndex`` will now return an object-dtype :class:`Index` of :class:`DateOffset` objects instead of raising a ``TypeError`` (:issue:`20049`)
- :func:`cut` and :func:`qcut` now returns a :class:`DatetimeIndex` or :class:`TimedeltaIndex` bins when the input is datetime or timedelta dtype respectively and ``retbins=True`` (:issue:`19891`)
.. _whatsnew_0240.api.other:
Other API Changes
^^^^^^^^^^^^^^^^^
- :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`).
- :meth:`MultiIndex.to_hierarchical` is deprecated and will be removed in a future version (:issue:`21613`)
-
.. _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
~~~~~~~~~~~~~~~~~~~~~~~~
- Very large improvement in performance of slicing when the index is a :class:`CategoricalIndex`,
both when indexing by label (using .loc) and position(.iloc).
Likewise, slicing a ``CategoricalIndex`` itself (i.e. ``ci[100:200]``) shows similar speed improvements (:issue:`21659`)
- 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`,:issue:`21606`)
- Improved performance of membership checks in :class:`Categorical` and :class:`CategoricalIndex`
(i.e. ``x in cat``-style checks are much faster). :meth:`CategoricalIndex.contains`
is likewise much faster (:issue:`21369`, :issue:`21508`)
- Improved performance of :meth:`HDFStore.groups` (and dependent functions like
:meth:`~HDFStore.keys`. (i.e. ``x in store`` checks are much faster)
(:issue:`21372`)
-
.. _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`)
Timedelta
^^^^^^^^^
-
-
-
Timezones
^^^^^^^^^
- 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:`Series.replace` with ``datetime64[ns, tz]`` data when replacing ``NaT`` (:issue:`11792`)
- Bug in :class:`Timestamp` when passing different string date formats with a timezone offset would produce different timezone offsets (:issue:`12064`)
- Bug when comparing a tz-naive :class:`Timestamp` to a tz-aware :class:`DatetimeIndex` which would coerce the :class:`DatetimeIndex` to tz-naive (:issue:`12601`)
- Bug in :meth:`Series.truncate` with a tz-aware :class:`DatetimeIndex` which would cause a core dump (:issue:`9243`)
- Bug in :class:`Series` constructor which would coerce tz-aware and tz-naive :class:`Timestamp`s to tz-aware (:issue:`13051`)
- Bug in :class:`Index` with ``datetime64[ns, tz]`` dtype that did not localize integer data correctly (:issue:`20964`)
- Bug in :class:`DatetimeIndex` where constructing with an integer and tz would not localize correctly (:issue:`12619`)
Offsets
^^^^^^^
-
-
Numeric
^^^^^^^
- Bug in :class:`Series` ``__rmatmul__`` doesn't support matrix vector multiplication (:issue:`21530`)
-
-
Strings
^^^^^^^
-
-
-
Interval
^^^^^^^^
- Bug in the :class:`IntervalIndex` constructor where the ``closed`` parameter did not always override the inferred ``closed`` (:issue:`19370`)
-
-
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`)
- Bug in :meth:`DatetimeIndex.reindex` when reindexing a tz-naive and tz-aware :class:`DatetimeIndex` (:issue:`8306`)
- Bug in :class:`DataFrame` when setting values with ``.loc`` and a timezone aware :class:`DatetimeIndex` (:issue:`11365`)
- Bug when indexing :class:`DatetimeIndex` with nanosecond resolution dates and timezones (:issue:`11679`)
-
Missing
^^^^^^^
- Bug in :func:`DataFrame.fillna` where a ``ValueError`` would raise when one column contained a ``datetime64[ns, tz]`` dtype (:issue:`15522`)
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`)
- Bug in :meth:`DatetimeIndex.resample` when downsampling across a DST boundary (:issue:`8531`)
-
-
Sparse
^^^^^^
-
-
-
Reshaping
^^^^^^^^^
- Bug in :func:`pandas.concat` when joining resampled DataFrames with timezone aware index (:issue:`13783`)
- Bug in :meth:`Series.combine_first` with ``datetime64[ns, tz]`` dtype which would return tz-naive result (:issue:`21469`)
- Bug in :meth:`Series.where` and :meth:`DataFrame.where` with ``datetime64[ns, tz]`` dtype (:issue:`21546`)
-
-
ExtensionArray
^^^^^^^^^^^^^^
- Bug in :meth:`Series.get` for ``Series`` using ``ExtensionArray`` and integer index (:issue:`21257`)
- :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`)
-
-
-