Add test

python/pyarrow/tests/test_parquet.py

@@ -1458,3 +1458,26 @@ def test_index_column_name_duplicate(tmpdir):
     arrow_table = _read_table(path)
     result_df = arrow_table.to_pandas()
     tm.assert_frame_equal(result_df, dfx)
+
+
+def test_backwards_compatible_index_naming():
+    expected_string = """\
+carat        cut  color  clarity  depth  table  price     x     y     z
+ 0.23      Ideal      E      SI2   61.5   55.0    326  3.95  3.98  2.43
+ 0.21    Premium      E      SI1   59.8   61.0    326  3.89  3.84  2.31
+ 0.23       Good      E      VS1   56.9   65.0    327  4.05  4.07  2.31
+ 0.29    Premium      I      VS2   62.4   58.0    334  4.20  4.23  2.63
+ 0.31       Good      J      SI2   63.3   58.0    335  4.34  4.35  2.75
+ 0.24  Very Good      J     VVS2   62.8   57.0    336  3.94  3.96  2.48
+ 0.24  Very Good      I     VVS1   62.3   57.0    336  3.95  3.98  2.47
+ 0.26  Very Good      H      SI1   61.9   55.0    337  4.07  4.11  2.53
+ 0.22       Fair      E      VS2   65.1   61.0    337  3.87  3.78  2.49
+ 0.23  Very Good      H      VS1   59.4   61.0    338  4.00  4.05  2.39"""
+    expected = pd.read_csv(
+        io.StringIO(expected_string), sep=r'\s{2,}', index_col=None,
+        header=0
+    )
+    path = os.path.join(os.path.dirname(__file__), 'data', 'v0.7.1.parquet')
+    t = _read_table(path)
+    result = t.to_pandas()
+    tm.assert_frame_equal(result, expected)