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Chang Shewesm
Chang She
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DOC: links from whatsnew
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doc/source/whatsnew/v0.8.0.txt

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@@ -28,7 +28,7 @@ clear of NumPy 1.6's datetime64 API functions (though limited as they are) and
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only interact with this data using the interface that pandas provides.
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Bug fixes to the 0.7.x series for legacy NumPy < 1.6 users will be provided as
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they arise. There will be no more further development in 1.7.x beyond bug
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they arise. There will be no more further development in 0.7.x beyond bug
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fixes.
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Time series changes and improvements
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With this release, legacy scikits.timeseries users should be able to port
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their code to use pandas.
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.. note::
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See :ref:`documentation <timeseries>` for overview of pandas timeseries API.
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- New datetime64 representation **speeds up join operations and data
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alignment**, **reduces memory usage**, and improve serialization /
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deserialization performance significantly over datetime.datetime
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- Add max_colwidth configuration option for DataFrame console output
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- Interpolate Series values using index values
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- Can select multiple columns from GroupBy
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- Add Series/DataFrame.update methods for updating values in place
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- Add Series/DataFrame.:ref:`update <merging.combine_first.update>` methods for updating values in place
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Other API changes
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~~~~~~~~~~~~~~~~~

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