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ENH: add .iloc attribute to provide location-based indexing #2922

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11 changes: 11 additions & 0 deletions RELEASE.rst
Expand Up @@ -29,12 +29,19 @@ pandas 0.11.0

**New features**

- New documentation section, ``10 Minutes to Pandas``
- Allow mixed dtypes (e.g ``float32/float64/int32/int16/int8``) to coexist in
DataFrames and propogate in operations
- Add function to pandas.io.data for retrieving stock index components from
Yahoo! finance (GH2795_)
- Add ``squeeze`` function to reduce dimensionality of 1-len objects
- Support slicing with time objects (GH2681_)
- Added ``.iloc`` attribute, to support strict integer based indexing, analagous to ``.ix`` (GH2922_)
- Added ``.loc`` attribute, to support strict label based indexing, analagous to ``.ix``
- Added ``.iat`` attribute, to support fast scalar access via integers (replaces ``iget_value/iset_value``)
- Added ``.at`` attribute, to support fast scalar access via labels (replaces ``get_value/set_value``)
- Moved functionaility from ``irow,icol,iget_value/iset_value`` to ``.iloc`` indexer
(via ``_ixs`` methods in each object)

**Improvements to existing features**

Expand All @@ -51,6 +58,8 @@ pandas 0.11.0
- ``describe_option()`` now reports the default and current value of options.
- Add ``format`` option to ``pandas.to_datetime`` with faster conversion of
strings that can be parsed with datetime.strptime
- Add ``axes`` property to ``Series`` for compatibility
- Add ``xs`` function to ``Series`` for compatibility

**API Changes**

Expand Down Expand Up @@ -127,6 +136,7 @@ pandas 0.11.0
- Bug on in-place putmasking on an ``integer`` series that needs to be converted to ``float`` (GH2746_)
- Bug in argsort of ``datetime64[ns]`` Series with ``NaT`` (GH2967_)
- Bug in idxmin/idxmax of ``datetime64[ns]`` Series with ``NaT`` (GH2982__)
- Bug in ``icol`` with negative indicies was incorrect producing incorrect return values (see GH2922_)

.. _GH622: https://github.com/pydata/pandas/issues/622
.. _GH797: https://github.com/pydata/pandas/issues/797
Expand All @@ -145,6 +155,7 @@ pandas 0.11.0
.. _GH2849: https://github.com/pydata/pandas/issues/2849
.. _GH2898: https://github.com/pydata/pandas/issues/2898
.. _GH2909: https://github.com/pydata/pandas/issues/2909
.. _GH2922: https://github.com/pydata/pandas/issues/2922
.. _GH2931: https://github.com/pydata/pandas/issues/2931
.. _GH2973: https://github.com/pydata/pandas/issues/2973
.. _GH2967: https://github.com/pydata/pandas/issues/2967
Expand Down