@@ -11,9 +11,10 @@ users upgrade to this version.
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- Officially support Python 3.4
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- SQL interfaces updated to use ``sqlalchemy``, See :ref:`Here<whatsnew_0140.sql>`.
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+ - Display interface changes, See :ref:`Here<whatsnew_0140.display>`
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- MultiIndexing Using Slicers, See :ref:`Here<whatsnew_0140.slicers>`.
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- Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame, see :ref:`Here <merging.join_on_mi>`
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- - More consistency in groupby results and more flexible groupby specifications, see :ref:`Here <groupby.specify >`
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+ - More consistency in groupby results and more flexible groupby specifications, See :ref:`Here<whatsnew_0140.groupby >`
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- Holiday calendars are now supported in ``CustomBusinessDay``, see :ref:`Here <timeseries.holiday>`
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- Updated plotting options, See :ref:`Here<whatsnew_0140.plotting>`.
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- Performance doc section on I/O operations, See :ref:`Here <io.perf>`
@@ -22,8 +23,6 @@ users upgrade to this version.
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- :ref:`API Changes <whatsnew_0140.api>`
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- - :ref:`Groupby API Changes <whatsnew_0140.groupby>`
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-
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- :ref:`Performance Improvements <whatsnew_0140.performance>`
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- :ref:`Prior Deprecations <whatsnew_0140.prior_deprecations>`
@@ -198,6 +197,11 @@ API changes
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from 0.13.1
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- Added ``factorize`` functions to ``Index`` and ``Series`` to get indexer and unique values (:issue:`7090`)
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+ .. _whatsnew_0140.display:
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+ Display Changes
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+ ~~~~~~~~~~~~~~~
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.. _whatsnew_0140.groupby:
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Groupby API Changes
@@ -594,7 +598,7 @@ Enhancements
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- `PeriodIndex` fully supports partial string indexing like `DatetimeIndex` (:issue:`7043`)
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.. ipython:: python
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prng = period_range('2013-01-01 09:00', periods=100, freq='H')
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ps = Series(np.random.randn(len(prng)), index=prng)
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ps
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