Update test_describe in groupby

Author: MartinBraquet

pandas/tests/groupby/methods/test_describe.py

@@ -202,15 +202,15 @@ def test_describe_duplicate_columns():
     gb = df.groupby(df[1])
     result = gb.describe(percentiles=[])
 
-    columns = ["count", "mean", "std", "min", "50%", "max"]
+    columns = ["count", "mean", "std", "min", "max"]
     frames = [
-        DataFrame([[1.0, val, np.nan, val, val, val]], index=[1], columns=columns)
+        DataFrame([[1.0, val, np.nan, val, val]], index=[1], columns=columns)
         for val in (0.0, 2.0, 3.0)
     ]
     expected = pd.concat(frames, axis=1)
     expected.columns = MultiIndex(
         levels=[[0, 2], columns],
-        codes=[6 * [0] + 6 * [1] + 6 * [0], 3 * list(range(6))],
+        codes=[5 * [0] + 5 * [1] + 5 * [0], 3 * list(range(5))],
     )
     expected.index.names = [1]
     tm.assert_frame_equal(result, expected)