From 7a05ee84a19164cd83a33346008a2a8cfa8365b5 Mon Sep 17 00:00:00 2001
From: jreback <jeff@reback.net>
Date: Sat, 15 Mar 2014 14:25:14 -0400
Subject: [PATCH] PLAT: platform sorting issue surfaced with time_grouper

---
 pandas/core/groupby.py     | 10 ++++++----
 pandas/core/index.py       |  5 ++++-
 pandas/tseries/resample.py |  4 ++--
 3 files changed, 12 insertions(+), 7 deletions(-)

diff --git a/pandas/core/groupby.py b/pandas/core/groupby.py
index 7bf20d71cb301..683c07b70d0f2 100644
--- a/pandas/core/groupby.py
+++ b/pandas/core/groupby.py
@@ -169,7 +169,7 @@ def __new__(cls, *args, **kwargs):
             cls = TimeGrouper
         return super(Grouper, cls).__new__(cls)
 
-    def __init__(self, key=None, level=None, freq=None, axis=None, sort=True):
+    def __init__(self, key=None, level=None, freq=None, axis=None, sort=False):
         self.key=key
         self.level=level
         self.freq=freq
@@ -201,7 +201,7 @@ def get_grouper(self, obj):
         self.set_grouper(obj)
         return self.binner, self.grouper, self.obj
 
-    def set_grouper(self, obj):
+    def set_grouper(self, obj, sort=False):
         """
         given an object and the specifcations, setup the internal grouper for this particular specification
 
@@ -243,7 +243,7 @@ def set_grouper(self, obj):
                         raise ValueError("The grouper level {0} is not valid".format(level))
 
             # possibly sort
-            if not ax.is_monotonic:
+            if (self.sort or sort) and not ax.is_monotonic:
                 indexer = self.indexer = ax.argsort(kind='quicksort')
                 ax = ax.take(indexer)
                 obj = obj.take(indexer, axis=self.axis, convert=False, is_copy=False)
@@ -1608,6 +1608,7 @@ def __init__(self, index, grouper=None, obj=None, name=None, level=None,
         self.grouper = _convert_grouper(index, grouper)
         self.index = index
         self.sort = sort
+        self.obj = obj
 
         # right place for this?
         if isinstance(grouper, (Series, Index)) and name is None:
@@ -1684,7 +1685,8 @@ def __init__(self, index, grouper=None, obj=None, name=None, level=None,
             elif isinstance(self.grouper, Grouper):
 
                 # get the new grouper
-                grouper = self.grouper.get_binner_for_grouping(obj)
+                grouper = self.grouper.get_binner_for_grouping(self.obj)
+                self.obj = self.grouper.obj
                 self.grouper = grouper
                 if self.name is None:
                     self.name = grouper.name
diff --git a/pandas/core/index.py b/pandas/core/index.py
index 0343475be377e..3eab4d0339082 100644
--- a/pandas/core/index.py
+++ b/pandas/core/index.py
@@ -883,7 +883,10 @@ def argsort(self, *args, **kwargs):
         """
         See docstring for ndarray.argsort
         """
-        return self.view(np.ndarray).argsort(*args, **kwargs)
+        result = self.asi8
+        if result is None:
+            result = self.view(np.ndarray)
+        return result.argsort(*args, **kwargs)
 
     def __add__(self, other):
         if isinstance(other, Index):
diff --git a/pandas/tseries/resample.py b/pandas/tseries/resample.py
index 8ab7063eada17..b29f67b40894b 100644
--- a/pandas/tseries/resample.py
+++ b/pandas/tseries/resample.py
@@ -70,13 +70,13 @@ def __init__(self, freq='Min', closed=None, label=None, how='mean',
         self.limit = limit
         self.base = base
 
-        # by definition we always sort
+        # always sort time groupers
         kwargs['sort'] = True
 
         super(TimeGrouper, self).__init__(freq=freq, axis=axis, **kwargs)
 
     def resample(self, obj):
-        self.set_grouper(obj)
+        self.set_grouper(obj, sort=True)
         ax = self.grouper
 
         if isinstance(ax, DatetimeIndex):