From ae56be04aa3d1b2d7e52a8bda738d24974c10365 Mon Sep 17 00:00:00 2001
From: Shawn Heide <heidesw@uw.edu>
Date: Fri, 29 Jul 2016 14:01:26 -0700
Subject: [PATCH] BUG: fixes 13822, incorrect KeyError string with non-unique
 columns when missing column is accessed

---
 doc/source/whatsnew/v0.19.0.txt        | 1 +
 pandas/core/indexing.py                | 4 +++-
 pandas/tests/indexing/test_indexing.py | 9 +++++++++
 3 files changed, 13 insertions(+), 1 deletion(-)

diff --git a/doc/source/whatsnew/v0.19.0.txt b/doc/source/whatsnew/v0.19.0.txt
index 62091d7ff03ff..f0e4f66fa4567 100644
--- a/doc/source/whatsnew/v0.19.0.txt
+++ b/doc/source/whatsnew/v0.19.0.txt
@@ -855,3 +855,4 @@ Bug Fixes
 
 - Bug in ``.to_excel()`` when DataFrame contains a MultiIndex which contains a label with a NaN value (:issue:`13511`)
 - Bug in ``pd.read_csv`` in Python 2.x with non-UTF8 encoded, multi-character separated data (:issue:`3404`)
+- Bug in ``Index`` raises ``KeyError`` displaying incorrect column when column is not in the df and columns contains duplicate values (:issue:`13822`)
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index 0cba8308c1c53..933ecd1b8de86 100644
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -1217,7 +1217,9 @@ def _convert_to_indexer(self, obj, axis=0, is_setter=False):
                     else:
                         (indexer,
                          missing) = labels.get_indexer_non_unique(objarr)
-                        check = indexer
+                        # 'indexer' has dupes, create 'check' using 'missing'
+                        check = np.zeros_like(objarr)
+                        check[missing] = -1
 
                 mask = check == -1
                 if mask.any():
diff --git a/pandas/tests/indexing/test_indexing.py b/pandas/tests/indexing/test_indexing.py
index 44c7f2277293d..a96e4acfad89b 100644
--- a/pandas/tests/indexing/test_indexing.py
+++ b/pandas/tests/indexing/test_indexing.py
@@ -1332,6 +1332,15 @@ def f():
         self.assertEqual(result, 3)
         self.assertRaises(ValueError, lambda: df.at['a', 0])
 
+        # GH 13822, incorrect error string with non-unique columns when missing
+        # column is accessed
+        df = DataFrame({'x': [1.], 'y': [2.], 'z': [3.]})
+        df.columns = ['x', 'x', 'z']
+
+        # Check that we get the correct value in the KeyError
+        self.assertRaisesRegexp(KeyError, "\['y'\] not in index",
+                                lambda: df[['x', 'y', 'z']])
+
     def test_loc_getitem_label_slice(self):
 
         # label slices (with ints)