BUG: fix buglets surfacing from merge

Author: wesm

pandas/core/index.py

@@ -103,6 +103,9 @@ def __new__(cls, data, dtype=None, copy=False, name=None):
     def __array_finalize__(self, obj):
         self.name = getattr(obj, 'name', None)
 
+    def _shallow_copy(self):
+        return self.view(type(self))
+
     def __repr__(self):
         try:
             result = np.ndarray.__repr__(self)

pandas/core/series.py

@@ -264,8 +264,10 @@ def __new__(cls, data=None, index=None, dtype=None, name=None,
             try:
                 if isinstance(index, DatetimeIndex):
                     # coerce back to datetime objects for lookup
-                    index = index.astype('O')
-                data = lib.fast_multiget(data, index, default=np.nan)
+                    data = lib.fast_multiget(data, index.astype('O'),
+                                             default=np.nan)
+                else:
+                    data = lib.fast_multiget(data, index, default=np.nan)
             except TypeError:
                 data = [data.get(i, nan) for i in index]
 

pandas/io/tests/test_pytables.py

@@ -9,7 +9,7 @@
 import numpy as np
 
 from pandas import Series, DataFrame, Panel, MultiIndex, bdate_range
-from pandas.io.pytables import HDFStore
+from pandas.io.pytables import HDFStore, get_store
 import pandas.util.testing as tm
 
 try:

pandas/sparse/panel.py

@@ -218,9 +218,9 @@ def __setstate__(self, state):
 
         self.default_fill_value = fv
         self.default_kind = kind
-        self._items = _ensure_index(_unpickle_array(items))
-        self._major_axis = _ensure_index(_unpickle_array(major))
-        self._minor_axis = _ensure_index(_unpickle_array(minor))
+        self._items = _ensure_index(com._unpickle_array(items))
+        self._major_axis = _ensure_index(com._unpickle_array(major))
+        self._minor_axis = _ensure_index(com._unpickle_array(minor))
         self._frames = frames
 
     def copy(self):

pandas/sparse/tests/test_sparse.py

@@ -16,7 +16,7 @@
 
 from pandas import Series, DataFrame, bdate_range, Panel
 from pandas.core.datetools import BDay
-from pandas.core.index import DatetimeIndex
+from pandas.core.index import DatetimeIndex, Index
 import pandas.core.datetools as datetools
 import pandas.util.testing as tm
 

pandas/tests/test_timeseries.py

@@ -151,6 +151,13 @@ def test_getitem_median_slice_bug(self):
         expected = s[indexer[0]]
         assert_series_equal(result, expected)
 
+    def test_series_ctor_plus_datetimeindex(self):
+        rng = date_range('20090415', '20090519', freq='B')
+        data = dict((k, 1) for k in rng)
+
+        result = Series(data, index=rng)
+        self.assert_(result.index is rng)
+
     def test_series_pad_backfill_limit(self):
         index = np.arange(10)
         s = Series(np.random.randn(10), index=index)