TST: Concat MultiIndex dataframes with deepcopy (pandas-dev#9967)

Author: mroeschke

pandas/tools/tests/test_concat.py

@@ -2151,6 +2151,25 @@ def test_concat_multiindex_rangeindex(self):
         exp = df.iloc[[2, 3, 4, 5], :]
         tm.assert_frame_equal(res, exp)
 
+    def test_concat_multiindex_dfs_with_deepcopy(self):
+        # GH 9967
+        from copy import deepcopy
+        example_multiindex1 = pd.MultiIndex.from_product([['a'], ['b']])
+        example_dataframe1 = pd.DataFrame([0], index=example_multiindex1)
+
+        example_multiindex2 = pd.MultiIndex.from_product([['a'], ['c']])
+        example_dataframe2 = pd.DataFrame([1], index=example_multiindex2)
+
+        example_dict = {'s1': example_dataframe1, 's2': example_dataframe2}
+        result = pd.concat(deepcopy(example_dict), names=['testname'])
+        expected_index = pd.MultiIndex(levels=[['s1', 's2'],
+                                               ['a'],
+                                               ['b', 'c']],
+                                       labels=[[0, 1], [0, 0], [0, 1]],
+                                       names=['testname', None, None])
+        expected = pd.DataFrame(np.array([[0], [1]]), index=expected_index)
+        tm.assert_frame_equal(result, expected)
+
 
 if __name__ == '__main__':
     nose.runmodule(argv=[__file__, '-vvs', '-x', '--pdb', '--pdb-failure'],