pandas-dev
diff --git a/‎pandas/core/reshape/melt.py
Copy file name to clipboardExpand all lines: pandas/core/reshape/melt.py
+7-1Lines changed: 7 additions & 1 deletion b/‎pandas/core/reshape/melt.py
Copy file name to clipboardExpand all lines: pandas/core/reshape/melt.py
+7-1Lines changed: 7 additions & 1 deletion
diff --git a/‎pandas/tests/reshape/test_melt.py
Copy file name to clipboardExpand all lines: pandas/tests/reshape/test_melt.py
+27Lines changed: 27 additions & 0 deletions b/‎pandas/tests/reshape/test_melt.py
Copy file name to clipboardExpand all lines: pandas/tests/reshape/test_melt.py
+27Lines changed: 27 additions & 0 deletions
@@ -603,6 +603,9 @@ def get_var_names(df, stub: str, sep: str, suffix: str):
         return df.columns[df.columns.str.match(regex)]
 
     def melt_stub(df, stub: str, i, j, value_vars, sep: str):
+        # Ensure value_name and var_name are different when passing to melt
+        j_original = j
+        j = f"{j}_1" if stub == j else j
         newdf = melt(
             df,
             id_vars=i,
@@ -619,7 +622,10 @@ def melt_stub(df, stub: str, i, j, value_vars, sep: str):
             # TODO: anything else to catch?
             pass
 
-        return newdf.set_index(i + [j])
+        newdf = newdf.set_index(i + [j])
+        if j != j_original:
+            newdf.index = newdf.index.set_names(j_original, level=-1)
+        return newdf
 
     if not is_list_like(stubnames):
         stubnames = [stubnames]
 
@@ -1218,6 +1218,33 @@ def test_missing_stubname(self, dtype):
         expected.index = expected.index.set_levels(new_level, level=0)
         tm.assert_frame_equal(result, expected)
 
+    @pytest.mark.parametrize("stubnames", ["year", ["year"]])
+    def test_stubname_equal_suffix(self, stubnames):
+        # https://github.com/pandas-dev/pandas/issues/46939
+        df = DataFrame(
+            {
+                "year1": {0: 4.5, 1: 1.7},
+                "year2": {0: 2.5, 1: 1.2},
+                "X": dict(zip(range(2), range(2, 4))),
+            }
+        )
+        df["id"] = df.index
+        result = wide_to_long(
+            df,
+            stubnames=stubnames,
+            i="id",
+            j="year",
+        )
+        expected = DataFrame(
+            [[2, 4.5], [3, 1.7], [2, 2.5], [3, 1.2]],
+            columns=["X", "year"],
+            index=pd.MultiIndex.from_arrays(
+                [[0, 1, 0, 1], [1, 1, 2, 2]],
+                names=["id", "year"],
+            ),
+        )
+        tm.assert_frame_equal(result, expected)
+
 
 def test_wide_to_long_pyarrow_string_columns():
     # GH 57066