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DOC: finish updating release notes
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RELEASE.rst

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@@ -86,7 +86,9 @@ pandas 0.8.0
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- Add lag plot (#1440)
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- Add autocorrelation_plot (#1425)
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- Add support for tox and Travis CI (#1382)
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- Add support for ordered factors and use in GroupBy (#292)
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- Add support for Categorical use in GroupBy (#292)
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- Add ``any`` and ``all`` methods to DataFrame (#1416)
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- Add ``secondary_y`` option to Series.plot
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**Improvements to existing features**
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- Add ``convert_dtype`` option to Series.apply to be able to leave data as
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dtype=object (#1414)
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- Can specify all index level names in concat (#1419)
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- Add ``dialect`` keyword to parsers for quoting conventions (#1363)
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- Enable DataFrame[bool_DataFrame] += value (#1366)
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- Add ``retries`` argument to ``get_data_yahoo`` to try to prevent Yahoo! API
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404s (#826)
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- Improve performance of reshaping by using O(N) categorical sorting
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**API Changes**
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- Rename Factor to Categorical and add improvements. Numerous Categorical bug
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fixes
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- Frequency name overhaul, WEEKDAY/EOM and rules with @
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deprecated. get_legacy_offset_name backwards compatibility function added
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- Raise ValueError in DataFrame.__nonzero__, so "if df" no longer works
@@ -190,6 +199,10 @@ pandas 0.8.0
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- Fix outer/inner DataFrame.join with non-unique indexes (#1421)
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- Fix MultiIndex groupby bugs with empty lower levels (#1401)
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- Calling fillna with a Series will have same behavior as with dict (#1486)
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- SparseSeries reduction bug (#1375)
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- Fix unicode serialization issue in HDFStore (#1361)
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- Pass keywords to pyplot.boxplot in DataFrame.boxplot (#1493)
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- Bug fixes in MonthBegin (#1483)
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pandas 0.7.3
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============

doc/source/whatsnew/v0.8.0.txt

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@@ -111,8 +111,10 @@ index duplication in many-to-many joins)
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Other new features
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~~~~~~~~~~~~~~~~~~
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- New :ref:`cut <reshaping.tile.cut>` function (like R's cut function) for
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computing a categorical variable from a continuous variable by binning values
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- New :ref:`cut <reshaping.tile.cut>` and ``qcut`` functions (like R's cut
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function) for computing a categorical variable from a continuous variable by
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binning values either into value-based (``cut``) or quantile-based (``qcut``)
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bins
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- Add :ref:`limit <missing_data.fillna.limit>` argument to fillna/reindex
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- More flexible multiple function application in GroupBy, and can pass list
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(name, function) tuples to get result in particular order with given names

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