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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
~~~~~~~~~~~~~~~~~~~~~~~~
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.. _whatsnew_0211.docs:
Documentation Changes
~~~~~~~~~~~~~~~~~~~~~
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.. _whatsnew_0211.bug_fixes:
Bug Fixes
~~~~~~~~~
- Bug in ``DataFrame.resample(...).apply(...)`` when there is a callable that returns different columns (:issue:`15169`)
- 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 ``pd.Series.rolling.skew()`` and ``rolling.kurt()`` with all equal values has floating issue (:issue:`18044`)
Conversion
^^^^^^^^^^
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Indexing
^^^^^^^^
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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 :meth:`DataFrame.to_csv` when the table had ``MultiIndex`` columns, and a list of strings was passed in for ``header`` (:issue:`5539`)
Plotting
^^^^^^^^
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Groupby/Resample/Rolling
^^^^^^^^^^^^^^^^^^^^^^^^
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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`)
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Numeric
^^^^^^^
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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`)
Other
^^^^^
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