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DOC: update RELEASE.rst
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RELEASE.rst

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@@ -40,8 +40,8 @@ pandas 0.11.1
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list of the rows from which to read the index. Added the option,
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``tupleize_cols`` to provide compatiblity for the pre 0.11.1 behavior of
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writing and reading multi-index columns via a list of tuples. The default in
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0.11.1 is to write lists of tuples and *not* interpret list of tuples as a
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multi-index column.
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0.11.1 is to write lists of tuples and *not* interpret list of tuples as a
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multi-index column.
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Note: The default value will change in 0.12 to make the default *to* write and
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read multi-index columns in the new format. (GH3571_, GH1651_, GH3141_)
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- Add iterator to ``Series.str`` (GH3638_)
@@ -79,8 +79,8 @@ pandas 0.11.1
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``timedelta64[ns]`` to ``object/int`` (GH3425_)
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- Do not allow datetimelike/timedeltalike creation except with valid types
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(e.g. cannot pass ``datetime64[ms]``) (GH3423_)
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- Add ``squeeze`` keyword to ``groupby`` to allow reduction from
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DataFrame -> Series if groups are unique. Regression from 0.10.1,
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- Add ``squeeze`` keyword to ``groupby`` to allow reduction from
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DataFrame -> Series if groups are unique. Regression from 0.10.1,
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partial revert on (GH2893_) with (GH3596_)
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- Raise on ``iloc`` when boolean indexing with a label based indexer mask
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e.g. a boolean Series, even with integer labels, will raise. Since ``iloc``
@@ -134,11 +134,12 @@ pandas 0.11.1
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is a ``list`` or ``tuple``.
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- Fixed bug where a time-series was being selected in preference to an actual column name
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in a frame (GH3594_)
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- Fix modulo and integer division on Series,DataFrames to act similary to ``float`` dtypes to return
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- Fix modulo and integer division on Series,DataFrames to act similary to ``float`` dtypes to return
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``np.nan`` or ``np.inf`` as appropriate (GH3590_)
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- Fix incorrect dtype on groupby with ``as_index=False`` (GH3610_)
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- Fix ``read_csv`` to correctly encode identical na_values, e.g. ``na_values=[-999.0,-999]``
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was failing (GH3611_)
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- Disable HTML output in qtconsole again. (GH3657_)
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- Fix indexing issue in ndim >= 3 with ``iloc`` (GH3617_)
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- Correctly parse date columns with embedded (nan/NaT) into datetime64[ns] dtype in ``read_csv``
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when ``parse_dates`` is specified (GH3062_)

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