BUG: always return True for onOffset for regular DateOffset, close #770

Author: wesm

RELEASE.rst

@@ -20,12 +20,12 @@ Where to get it
 
 * Source code: http://github.com/pydata/pandas
 * Binary installers on PyPI: http://pypi.python.org/pypi/pandas
-* Documentation: http://pandas.sourceforge.net
+* Documentation: http://pandas.pydata.org
 
 pandas 0.7.0
 ============
 
-**Release date:** NOT YET RELEASED
+**Release date:** 2/9/2012
 
 **New features / modules**
 
@@ -187,6 +187,9 @@ pandas 0.7.0
   - Prototypes for some vectorized string functions
   - Add float64 hash table to solve the Series.unique problem with NAs (GH #714)
   - Memoize objects when reading from file to reduce memory footprint
+  - Can get and set a column of a DataFrame with hierarchical columns
+    containing "empty" ('') lower levels without passing the empty levels (PR
+    #768)
 
 **Bug fixes**
 
@@ -301,6 +304,7 @@ pandas 0.7.0
 Thanks
 ------
 - Craig Austin
+- Chris Billington
 - Marius Cobzarenco
 - Mario Gamboa-Cavazos
 - Hans-Martin Gaudecker

doc/source/whatsnew/v0.7.0.txt

@@ -1,6 +1,6 @@
 .. _whatsnew_0700:
 
-v.0.7.0 (Not Yet Released)
+v.0.7.0 (February 9, 2012)
 --------------------------
 
 New features

pandas/core/datetools.py

@@ -218,6 +218,9 @@ def rollforward(self, someDate):
         return someDate
 
     def onOffset(self, someDate):
+        if type(self) == DateOffset:
+            return True
+
         # Default (slow) method for determining if some date is a
         # member of the DateRange generated by this offset. Subclasses
         # may have this re-implemented in a nicer way.

pandas/tests/test_daterange.py

@@ -354,6 +354,15 @@ def test_error_with_zero_monthends(self):
         self.assertRaises(ValueError, DateRange, '1/1/2000', '1/1/2001',
                           offset=datetools.MonthEnd(0))
 
+    def test_range_bug(self):
+        # GH #770
+        offset = datetools.DateOffset(months=3)
+        result = DateRange("2011-1-1", "2012-1-31", offset=offset)
+
+        start = datetime(2011, 1, 1)
+        exp_values = [start + i * offset for i in range(5)]
+        self.assert_(np.array_equal(result, exp_values))
+
 def _skip_if_no_pytz():
     try:
         import pytz