DOC/TST: revised indexing section in docs

         updated whatsnew
         all tests work

DOC: changes suggested by Jan Schulz
     revised whatsnew to include mostly references to new indexing

Author: jreback

RELEASE.rst

@@ -35,7 +35,12 @@ pandas 0.11.0
     Yahoo! finance (GH2795_)
   - Add ``squeeze`` function to reduce dimensionality of 1-len objects
   - Support slicing with time objects (GH2681_)
-  - Add ``.iloc`` attribute, to support location-based indexing, analagous to ``.ix``
+  - 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**
 
@@ -52,6 +57,7 @@ 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 
 
 **API Changes**
 
@@ -129,6 +135,7 @@ pandas 0.11.0
   - Bug in argsort of ``datetime64[ns]`` Series with ``NaT`` (GH2967_)
   - Bug in idxmin/idxmax of ``datetime64[ns]`` Series with ``NaT`` (GH2982__)
   - ``icol`` with negative indicies was return ``nan`` (see GH2922_)
+  - 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

doc/source/conf.py

@@ -17,7 +17,6 @@
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
 # sys.path.append(os.path.abspath('.'))
-sys.path.insert(0,'/home/jreback/pandas')
 sys.path.insert(0, os.path.abspath('../sphinxext'))
 
 sys.path.extend([

doc/source/dsintro.rst

@@ -437,8 +437,8 @@ The basics of indexing are as follows:
     :widths: 30, 20, 10
 
     Select column, ``df[col]``, Series
-    Select row by label, ``df.xs(label)`` or ``df.ix[label]``, Series
-    Select row by location (int), ``df.ix[loc]``, Series
+    Select row by label, ``df.loc[label]``, Series
+    Select row by integer location, ``df.iloc[loc]``, Series
     Slice rows, ``df[5:10]``, DataFrame
     Select rows by boolean vector, ``df[bool_vec]``, DataFrame
 
@@ -447,8 +447,8 @@ DataFrame:
 
 .. ipython:: python
 
-   df.xs('b')
-   df.ix[2]
+   df.loc('b')
+   df.iloc[2]
 
 For a more exhaustive treatment of more sophisticated label-based indexing and
 slicing, see the :ref:`section on indexing <indexing>`. We will address the
@@ -475,7 +475,7 @@ row-wise. For example:
 
 .. ipython:: python
 
-   df - df.ix[0]
+   df - df.iloc[0]
 
 In the special case of working with time series data, if the Series is a
 TimeSeries (which it will be automatically if the index contains datetime
@@ -592,7 +592,7 @@ DataFrame in tabular form, though it won't always fit the console width:
 
 .. ipython:: python
 
-   print baseball.ix[-20:, :12].to_string()
+   print baseball.iloc[-20:, :12].to_string()
 
 New since 0.10.0, wide DataFrames will now be printed across multiple rows by
 default: