DOC: some more changes in 0.16.0.txt

Author: jreback

doc/source/whatsnew/v0.16.0.txt

@@ -168,8 +168,8 @@ from a ``scipy.sparse.coo_matrix``:
 
 .. _whatsnew_0160.api_breaking.timedelta:
 
-Change in Timedelta
-~~~~~~~~~~~~~~~~~~~
+Changes in Timedelta
+~~~~~~~~~~~~~~~~~~~~
 
 In v0.15.0 a new scalar type ``Timedelta`` was introduced, that is a
 sub-class of ``datetime.timedelta``. Mentioned :ref:`here <whatsnew_0150.timedeltaindex>` was a notice of an API change w.r.t. the ``.seconds`` accessor. The intent was to provide a user-friendly set of accessors that give the 'natural' value for that unit, e.g. if you had a ``Timedelta('1 day, 10:11:12')``, then ``.seconds`` would return 12. However, this is at odds with the definition of ``datetime.timedelta``, which defines ``.seconds`` as ``10 * 3600 + 11 * 60 + 12 == 36672``.
@@ -214,64 +214,64 @@ Indexing Changes
 
 The behavior of a small sub-set of edge cases for using ``.loc`` have changed (:issue:`8613`). Furthermore we have improved the content of the error messages that are raised:
 
-- slicing with ``.loc`` where the start and/or stop bound is not found in the index is now allowed; this previously would raise a ``KeyError``. This makes the behavior the same as ``.ix`` in this case. This change is only for slicing, not when indexing with a single label.
+- Slicing with ``.loc`` where the start and/or stop bound is not found in the index is now allowed; this previously would raise a ``KeyError``. This makes the behavior the same as ``.ix`` in this case. This change is only for slicing, not when indexing with a single label.
 
-.. ipython:: python
+  .. ipython:: python
 
-   df = DataFrame(np.random.randn(5,4),
-                  columns=list('ABCD'),
-                  index=date_range('20130101',periods=5))
-   df
-   s = Series(range(5),[-2,-1,1,2,3])
-   s
+     df = DataFrame(np.random.randn(5,4),
+                    columns=list('ABCD'),
+                    index=date_range('20130101',periods=5))
+     df
+     s = Series(range(5),[-2,-1,1,2,3])
+     s
 
-Previous Behavior
+  Previous Behavior
 
-.. code-block:: python
+  .. code-block:: python
 
-   In [4]: df.loc['2013-01-02':'2013-01-10']
-   KeyError: 'stop bound [2013-01-10] is not in the [index]'
+     In [4]: df.loc['2013-01-02':'2013-01-10']
+     KeyError: 'stop bound [2013-01-10] is not in the [index]'
 
-   In [6]: s.loc[-10:3]
-   KeyError: 'start bound [-10] is not the [index]'
+     In [6]: s.loc[-10:3]
+     KeyError: 'start bound [-10] is not the [index]'
 
-New Behavior
+  New Behavior
 
-.. ipython:: python
+  .. ipython:: python
 
-   df.loc['2013-01-02':'2013-01-10']
-   s.loc[-10:3]
+     df.loc['2013-01-02':'2013-01-10']
+     s.loc[-10:3]
 
-- allow slicing with float-like values on an integer index for ``.ix``. Previously this was only enabled for ``.loc``:
+- Allow slicing with float-like values on an integer index for ``.ix``. Previously this was only enabled for ``.loc``:
 
-Previous Behavior
+  Previous Behavior
 
-.. code-block:: python
+  .. code-block:: python
 
-   In [8]: s.ix[-1.0:2]
-   TypeError: the slice start value [-1.0] is not a proper indexer for this index type (Int64Index)
+     In [8]: s.ix[-1.0:2]
+     TypeError: the slice start value [-1.0] is not a proper indexer for this index type (Int64Index)
 
-New Behavior
+  New Behavior
 
-.. ipython:: python
+  .. ipython:: python
 
-   s.ix[-1.0:2]
+     s.ix[-1.0:2]
 
-- provide a useful exception for indexing with an invalid type for that index when using ``.loc``. For example trying to use ``.loc`` on an index of type ``DatetimeIndex`` or ``PeriodIndex`` or ``TimedeltaIndex``, with an integer (or a float).
+- Provide a useful exception for indexing with an invalid type for that index when using ``.loc``. For example trying to use ``.loc`` on an index of type ``DatetimeIndex`` or ``PeriodIndex`` or ``TimedeltaIndex``, with an integer (or a float).
 
-Previous Behavior
+  Previous Behavior
 
-.. code-block:: python
+  .. code-block:: python
 
-   In [4]: df.loc[2:3]
-   KeyError: 'start bound [2] is not the [index]'
+     In [4]: df.loc[2:3]
+     KeyError: 'start bound [2] is not the [index]'
 
-New Behavior
+  New Behavior
 
-.. code-block:: python
+  .. code-block:: python
 
-   In [4]: df.loc[2:3]
-   TypeError: Cannot do slice indexing on <class 'pandas.tseries.index.DatetimeIndex'> with <type 'int'> keys
+     In [4]: df.loc[2:3]
+     TypeError: Cannot do slice indexing on <class 'pandas.tseries.index.DatetimeIndex'> with <type 'int'> keys
 
 
 .. _whatsnew_0160.api: