DOC: release notes

Author: jreback

doc/source/index.rst

@@ -125,7 +125,7 @@ See the package overview for more detail about what's in the library.
     visualization
     rplot
     io
-    performance
+    enhancingperf
     sparse
     gotchas
     r_interface

doc/source/release.rst

@@ -168,6 +168,11 @@ pandas 0.11.1
     until success is also valid
   - more consistency in the to_datetime return types (give string/array of string inputs) (:issue:`3888`)
 
+**Experimental Feautres**
+
+  - Added experimental ``CustomBusinessDay`` class to support ``DateOffsets``
+    with custom holiday calendars and custom weekmasks. (:issue:`2301`)
+
 **Bug Fixes**
 
   - Fixed an esoteric excel reading bug, xlrd>= 0.9.0 now required for excel

doc/source/v0.11.1.txt

@@ -323,27 +323,27 @@ Experimental Features
 ~~~~~~~~~~~~~~~~~~~~~
 
   - Added experimental ``CustomBusinessDay`` class to support ``DateOffsets``
-    with custom holiday calendars and custom weekmasks. (GH2301_)
+    with custom holiday calendars and custom weekmasks. (:issue:`2301`)
 
-  .. note::
+    .. note::
 
-        This uses the ``numpy.busdaycalendar`` API introduced in Numpy 1.7 and
-        therefore requires Numpy 1.7.0 or newer.
-
-  .. ipython:: python
-
-     from pandas.tseries.offsets import CustomBusinessDay
-     # As an interesting example, let's look at Egypt where
-     # a Friday-Saturday weekend is observed.
-     weekmask_egypt = 'Sun Mon Tue Wed Thu'
-     # They also observe International Workers' Day so let's
-     # add that for a couple of years
-     holidays = ['2012-05-01', datetime(2013, 5, 1), np.datetime64('2014-05-01')]
-     bday_egypt = CustomBusinessDay(holidays=holidays, weekmask=weekmask_egypt)
-     dt = datetime(2013, 4, 30)
-     print dt + 2 * bday_egypt
-     dts = date_range(dt, periods=5, freq=bday_egypt).to_series()
-     print Series(dts.weekday, dts).map(Series('Mon Tue Wed Thu Fri Sat Sun'.split()))
+       This uses the ``numpy.busdaycalendar`` API introduced in Numpy 1.7 and
+       therefore requires Numpy 1.7.0 or newer.
+
+    .. ipython:: python
+
+      from pandas.tseries.offsets import CustomBusinessDay
+      # As an interesting example, let's look at Egypt where
+      # a Friday-Saturday weekend is observed.
+      weekmask_egypt = 'Sun Mon Tue Wed Thu'
+      # They also observe International Workers' Day so let's
+      # add that for a couple of years
+      holidays = ['2012-05-01', datetime(2013, 5, 1), np.datetime64('2014-05-01')]
+      bday_egypt = CustomBusinessDay(holidays=holidays, weekmask=weekmask_egypt)
+      dt = datetime(2013, 4, 30)
+      print dt + 2 * bday_egypt
+      dts = date_range(dt, periods=5, freq=bday_egypt).to_series()
+      print Series(dts.weekday, dts).map(Series('Mon Tue Wed Thu Fri Sat Sun'.split()))
 
 Bug Fixes
 ~~~~~~~~~