add test for MI

Author: jreback

pandas/tests/frame/test_explode.py

@@ -33,6 +33,36 @@ def test_basic():
     tm.assert_frame_equal(result, expected)
 
 
+def test_multi_index():
+    df = pd.DataFrame(
+        {"A": np.array([[0, 1, 2], np.nan, [], (3, 4)], dtype=object), "B": 1},
+        index=pd.MultiIndex.from_tuples([("a", 1), ("a", 2), ("b", 1), ("b", 2)]),
+    )
+
+    result = df.explode("A")
+    expected = pd.DataFrame(
+        {
+            "A": pd.Series(
+                [0, 1, 2, np.nan, np.nan, 3, 4],
+                index=pd.MultiIndex.from_tuples(
+                    [
+                        ("a", 1),
+                        ("a", 1),
+                        ("a", 1),
+                        ("a", 2),
+                        ("b", 1),
+                        ("b", 2),
+                        ("b", 2),
+                    ]
+                ),
+                dtype=object,
+            ),
+            "B": 1,
+        }
+    )
+    tm.assert_frame_equal(result, expected)
+
+
 def test_usecase():
     # explode a single column
     # gh-10511

pandas/tests/series/test_explode.py

@@ -90,7 +90,7 @@ def test_typical_usecase():
     expected = pd.DataFrame(
         {"var2": [1, 1, 1, 2, 2, 2], "var1": list("abcdef")}, index=[0, 0, 0, 1, 1, 1]
     )
-    tm.assert_frame_equal(result, expected, check_like=True)
+    tm.assert_frame_equal(result, expected)
 
 
 def test_nested_EA():