From 29b7168dcad9272aa9970eb00e97ad66f66ab0a1 Mon Sep 17 00:00:00 2001
From: jreback <jeff@reback.net>
Date: Wed, 18 Dec 2013 20:02:15 -0500
Subject: [PATCH] BUG: raise KeyError if missing value in py3 on multi-index
 (GH5725), revisited

---
 pandas/core/index.py          |  3 +++
 pandas/tests/test_indexing.py | 23 ++++++++++++++++++++++-
 2 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/pandas/core/index.py b/pandas/core/index.py
index 30f93564db318..5c77c1e5e9516 100644
--- a/pandas/core/index.py
+++ b/pandas/core/index.py
@@ -2306,8 +2306,11 @@ def _try_mi(k):
                     compat.PY3 and isinstance(key, compat.string_types)):
                 try:
                     return _try_mi(key)
+                except (KeyError):
+                    raise
                 except:
                     pass
+
                 try:
                     return _try_mi(Timestamp(key))
                 except:
diff --git a/pandas/tests/test_indexing.py b/pandas/tests/test_indexing.py
index e601755ba8aaf..3107b1c679cc7 100644
--- a/pandas/tests/test_indexing.py
+++ b/pandas/tests/test_indexing.py
@@ -844,15 +844,36 @@ def test_getitem_multiindex(self):
         # GH 5725
         # the 'A' happens to be a valid Timestamp so the doesn't raise the appropriate
         # error, only in PY3 of course!
-        index = MultiIndex(levels=[['A', 'B', 'C'], [0, 26, 27, 37, 57, 67, 75, 82]],
+        index = MultiIndex(levels=[['D', 'B', 'C'], [0, 26, 27, 37, 57, 67, 75, 82]],
                            labels=[[0, 0, 0, 1, 2, 2, 2, 2, 2, 2], [1, 3, 4, 6, 0, 2, 2, 3, 5, 7]],
                            names=['tag', 'day'])
         arr = np.random.randn(len(index),1)
         df = DataFrame(arr,index=index,columns=['val'])
+        result = df.val['D']
+        expected = Series(arr.ravel()[0:3],name='val',index=Index([26,37,57],name='day'))
+        assert_series_equal(result,expected)
+
+        def f():
+            df.val['A']
+        self.assertRaises(KeyError, f)
+
+        def f():
+            df.val['X']
+        self.assertRaises(KeyError, f)
+
+        # A is treated as a special Timestamp
+        index = MultiIndex(levels=[['A', 'B', 'C'], [0, 26, 27, 37, 57, 67, 75, 82]],
+                           labels=[[0, 0, 0, 1, 2, 2, 2, 2, 2, 2], [1, 3, 4, 6, 0, 2, 2, 3, 5, 7]],
+                           names=['tag', 'day'])
+        df = DataFrame(arr,index=index,columns=['val'])
         result = df.val['A']
         expected = Series(arr.ravel()[0:3],name='val',index=Index([26,37,57],name='day'))
         assert_series_equal(result,expected)
 
+        def f():
+            df.val['X']
+        self.assertRaises(KeyError, f)
+
     def test_setitem_dtype_upcast(self):
 
         # GH3216