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v0.21.1.txt
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.. _whatsnew_0211:
v0.21.1
-------
This is a minor release from 0.21.1 and includes a number of deprecations, new
features, enhancements, and performance improvements along with a large number
of bug fixes. We recommend that all users upgrade to this version.
.. _whatsnew_0211.enhancements:
New features
~~~~~~~~~~~~
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.. _whatsnew_0211.enhancements.other:
Other Enhancements
^^^^^^^^^^^^^^^^^^
- :meth:`Timestamp.timestamp` is now available in Python 2.7. (:issue:`17329`)
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.. _whatsnew_0211.deprecations:
Deprecations
~~~~~~~~~~~~
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.. _whatsnew_0211.performance:
Performance Improvements
~~~~~~~~~~~~~~~~~~~~~~~~
- Improved performance of plotting large series/dataframes (:issue:`18236`).
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.. _whatsnew_0211.docs:
Documentation Changes
~~~~~~~~~~~~~~~~~~~~~
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.. _whatsnew_0211.bug_fixes:
Bug Fixes
~~~~~~~~~
Conversion
^^^^^^^^^^
- Bug in :class:`TimedeltaIndex` subtraction could incorrectly overflow when ``NaT`` is present (:issue:`17791`)
- Bug in :class:`DatetimeIndex` subtracting datetimelike from DatetimeIndex could fail to overflow (:issue:`18020`)
- Bug in :meth:`IntervalIndex.copy` when copying and ``IntervalIndex`` with non-default ``closed`` (:issue:`18339`)
- Bug in :func:`DataFrame.to_dict` where columns of datetime that are tz-aware were not converted to required arrays when used with ``orient='records'``, raising``TypeError` (:issue:`18372`)
- Bug in :class:`DatetimeIndex` when partial string label indices are actually timezone aware (:issue:`16785`)
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Indexing
^^^^^^^^
- Bug in a boolean comparison of a ``datetime.datetime`` and a ``datetime64[ns]`` dtype Series (:issue:`17965`)
- Bug where a ``MultiIndex`` with more than a million records was not raising ``AttributeError`` when trying to access a missing attribute (:issue:`18165`)
- Bug in :class:`IntervalIndex` constructor when a list of intervals is passed with non-default ``closed`` (:issue:`18334`)
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I/O
^^^
- Bug in class:`~pandas.io.stata.StataReader` not converting date/time columns with display formatting addressed (:issue:`17990`). Previously columns with display formatting were normally left as ordinal numbers and not converted to datetime objects.
- Bug in :func:`read_csv` when reading a compressed UTF-16 encoded file (:issue:`18071`)
- Bug in :func:`read_csv` for handling null values in index columns when specifying ``na_filter=False`` (:issue:`5239`)
- Bug in :func:`read_csv` when reading numeric category fields with high cardinality (:issue:`18186`)
- Bug in :meth:`DataFrame.to_csv` when the table had ``MultiIndex`` columns, and a list of strings was passed in for ``header`` (:issue:`5539`)
- :func:`read_parquet` now allows to specify the columns to read from a parquet file (:issue:`18154`)
- :func:`read_parquet` now allows to specify kwargs which are passed to the respective engine (:issue:`18216`)
- Bug in parsing integer datetime-like columns with specified format in ``read_sql`` (:issue:`17855`).
- Bug in :meth:`DataFrame.to_msgpack` when serializing data of the numpy.bool_ datatype (:issue:`18390`)
Plotting
^^^^^^^^
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Groupby/Resample/Rolling
^^^^^^^^^^^^^^^^^^^^^^^^
- Bug in ``DataFrame.resample(...).apply(...)`` when there is a callable that returns different columns (:issue:`15169`)
- Bug in ``DataFrame.resample(...)`` when there is a time change (DST) and resampling frequecy is 12h or higher (:issue:`15549`)
- Bug in ``pd.DataFrameGroupBy.count()`` when counting over a datetimelike column (:issue:`13393`)
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Sparse
^^^^^^
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Reshaping
^^^^^^^^^
- Error message in ``pd.merge_asof()`` for key datatype mismatch now includes datatype of left and right key (:issue:`18068`)
- Bug in ``pd.concat`` when empty and non-empty DataFrames or Series are concatenated (:issue:`18178` :issue:`18187`)
- Bug in ``DataFrame.filter(...)`` when :class:`unicode` is passed as a condition in Python 2 (:issue:`13101`)
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Numeric
^^^^^^^
- Bug in ``pd.Series.rolling.skew()`` and ``rolling.kurt()`` with all equal values has floating issue (:issue:`18044`)
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Categorical
^^^^^^^^^^^
- Bug in :meth:`DataFrame.astype` where casting to 'category' on an empty ``DataFrame`` causes a segmentation fault (:issue:`18004`)
- Error messages in the testing module have been improved when items have different ``CategoricalDtype`` (:issue:`18069`)
- ``CategoricalIndex`` can now correctly take a ``pd.api.types.CategoricalDtype`` as its dtype (:issue:`18116`)
- Bug in ``Categorical.unique()`` returning read-only ``codes`` array when all categories were ``NaN`` (:issue:`18051`)
Other
^^^^^
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