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committedFeb 8, 2012
DOC: fix duplicates in release
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‎RELEASE.rst

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@@ -187,9 +187,6 @@ pandas 0.7.0
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- Prototypes for some vectorized string functions
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- Add float64 hash table to solve the Series.unique problem with NAs (GH #714)
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- Memoize objects when reading from file to reduce memory footprint
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- Improved handling of NAs in binary ops with object Series (GH #737)
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- Added optimized Cython groupby routines for aggregating 2D blocks, added
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vbenchmark, (GH #745)
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**Bug fixes**
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@@ -273,7 +270,7 @@ pandas 0.7.0
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- Use right dropna function for SparseSeries. Return dense Series for NA fill
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value (GH #730)
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- Fix Index.format bug causing incorrectly string-formatted Series with
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datetime indexes (# 758)
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datetime indexes (# 726, 758)
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- Fix errors caused by object dtype arrays passed to ols (GH #759)
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- Fix error where column names lost when passing list of labels to
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DataFrame.__getitem__, (GH #662)
@@ -286,7 +283,6 @@ pandas 0.7.0
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- Fix csv encoding when using unicode (GH #705, #717, #738)
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- Fix assumption that each object contains every unique block type in concat,
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(GH #708)
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- Fix handling of NAs in Series.unique (GH #714)
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- Fix sortedness check of multiindex in to_panel (GH #719, 720)
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- Fix that None was not treated as NA in PyObjectHashtable
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- Fix hashing dtype because of endianness confusion (GH #747, #748)
@@ -296,10 +292,8 @@ pandas 0.7.0
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yields numeric array, (GH #753)
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- Fixes and improvements to DataFrame.rank (GH #742)
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- Fix catching AttributeError instead of NameError for bottleneck
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- Fix to float formatting issues (GH #726, 758)
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- Try to cast non-MultiIndex to better dtype when calling reset_index (GH #726
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#440)
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- Fix object dtype arrays in OLS class (GH #759)
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- Fix #1.QNAN0' float bug on 2.6/win64
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- Allow subclasses of dicts in DataFrame constructor, with tests
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- Fix problem whereby set_index destroys column multiindex (GH #764)

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