From ffe49199d5f319a94f7c08ccd3f59457d26b4999 Mon Sep 17 00:00:00 2001
From: jreback <jeff@reback.net>
Date: Tue, 1 Oct 2013 22:21:44 -0400
Subject: [PATCH] BUG: fixed a bug in multi-level indexing with a Timestamp
 partial indexer (GH4294)

---
 doc/source/release.rst                  |  1 +
 pandas/core/index.py                    | 28 +++++++++++++++++++------
 pandas/index.pyx                        |  2 +-
 pandas/tseries/tests/test_timeseries.py | 18 ++++++++++++++++
 4 files changed, 42 insertions(+), 7 deletions(-)

diff --git a/doc/source/release.rst b/doc/source/release.rst
index 058ea165120a6..4e5178d8a554a 100644
--- a/doc/source/release.rst
+++ b/doc/source/release.rst
@@ -523,6 +523,7 @@ Bug Fixes
     and other reshaping issues.
   - Bug in setting with ``ix/loc`` and a mixed int/string index (:issue:`4544`)
   - Make sure series-series boolean comparions are label based (:issue:`4947`)
+  - Bug in multi-level indexing with a Timestamp partial indexer (:issue:`4294`)
 
 pandas 0.12.0
 -------------
diff --git a/pandas/core/index.py b/pandas/core/index.py
index f6a88f4164191..d6e74e16c8dae 100644
--- a/pandas/core/index.py
+++ b/pandas/core/index.py
@@ -1,4 +1,5 @@
 # pylint: disable=E1101,E1103,W0232
+import datetime
 from functools import partial
 from pandas.compat import range, zip, lrange, lzip, u
 from pandas import compat
@@ -2224,16 +2225,20 @@ def get_value(self, series, key):
         # Label-based
         s = _values_from_object(series)
         k = _values_from_object(key)
+
+        def _try_mi(k):
+            # TODO: what if a level contains tuples??
+            loc = self.get_loc(k)
+            new_values = series.values[loc]
+            new_index = self[loc]
+            new_index = _maybe_droplevels(new_index, k)
+            return Series(new_values, index=new_index, name=series.name)
+
         try:
             return self._engine.get_value(s, k)
         except KeyError as e1:
             try:
-                # TODO: what if a level contains tuples??
-                loc = self.get_loc(key)
-                new_values = series.values[loc]
-                new_index = self[loc]
-                new_index = _maybe_droplevels(new_index, key)
-                return Series(new_values, index=new_index, name=series.name)
+                return _try_mi(key)
             except KeyError:
                 pass
 
@@ -2250,6 +2255,16 @@ def get_value(self, series, key):
             except Exception:  # pragma: no cover
                 raise e1
         except TypeError:
+
+            # a Timestamp will raise a TypeError in a multi-index
+            # rather than a KeyError, try it here
+            if isinstance(key, (datetime.datetime,np.datetime64)) or (
+                compat.PY3 and isinstance(key, compat.string_types)):
+                try:
+                    return _try_mi(Timestamp(key))
+                except:
+                    pass
+
             raise InvalidIndexError(key)
 
     def get_level_values(self, level):
@@ -2779,6 +2794,7 @@ def reindex(self, target, method=None, level=None, limit=None,
         if level is not None:
             if method is not None:
                 raise TypeError('Fill method not supported if level passed')
+            target = _ensure_index(target)
             target, indexer, _ = self._join_level(target, level, how='right',
                                                   return_indexers=True)
         else:
diff --git a/pandas/index.pyx b/pandas/index.pyx
index 53c96b1c55605..8aa4f69a1ec8e 100644
--- a/pandas/index.pyx
+++ b/pandas/index.pyx
@@ -408,7 +408,7 @@ cdef class Float64Engine(IndexEngine):
                                          limit=limit)
 
 
-cdef Py_ssize_t _bin_search(ndarray values, object val):
+cdef Py_ssize_t _bin_search(ndarray values, object val) except -1:
     cdef:
         Py_ssize_t mid, lo = 0, hi = len(values) - 1
         object pval
diff --git a/pandas/tseries/tests/test_timeseries.py b/pandas/tseries/tests/test_timeseries.py
index e4504420bacc2..f3598dd2d210b 100644
--- a/pandas/tseries/tests/test_timeseries.py
+++ b/pandas/tseries/tests/test_timeseries.py
@@ -2751,6 +2751,24 @@ def f():
             df_multi.loc[('2013-06-19', 'ACCT1', 'ABC')]
         self.assertRaises(KeyError, f)
 
+        # GH 4294
+        # partial slice on a series mi
+        s = pd.DataFrame(randn(1000, 1000), index=pd.date_range('2000-1-1', periods=1000)).stack()
+
+        s2 = s[:-1].copy()
+        expected = s2['2000-1-4']
+        result = s2[pd.Timestamp('2000-1-4')]
+        assert_series_equal(result, expected)
+
+        result = s[pd.Timestamp('2000-1-4')]
+        expected = s['2000-1-4']
+        assert_series_equal(result, expected)
+
+        df2 = pd.DataFrame(s)
+        expected = df2.ix['2000-1-4']
+        result = df2.ix[pd.Timestamp('2000-1-4')]
+        assert_frame_equal(result, expected)
+
     def test_date_range_normalize(self):
         snap = datetime.today()
         n = 50