add test for GH32651, copied from GH34210

Co-authored-by: Simon Hawkins <simonjayhawkins@gmail.com>
pandas-dev · jorisvandenbossche · Mar 20, 2020 · Mar 20, 2020 · Mar 20, 2020 · Mar 20, 2020
commit 9323f0e74be37cf9239673b2810c2750419051e5
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
@@ -8623,7 +8623,7 @@ def _constructor(df, result, index=None):
                 df = _get_data(axis_matters=True)
 
             if numeric_only is not None:
-                result = [op(arr) for arr in df._iter_column_arrays()]
+                result = [array_func(arr) for arr in df._iter_column_arrays()]
                 return _constructor(df, result)
             else:
                 # with numeric_only=None, need to ignore exceptions per column

diff --git a/pandas/tests/frame/test_analytics.py b/pandas/tests/frame/test_analytics.py
@@ -1312,3 +1312,17 @@ def test_mixed_frame_with_integer_sum():
     result = df.sum()
     expected = pd.Series(["a", 1], index=["a", "b"])
     tm.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize("numeric_only", [True, False, None])
+@pytest.mark.parametrize("method", ["min", "max"])
+def test_minmax_extensionarray(method, numeric_only):
+    # https://github.com/pandas-dev/pandas/issues/32651
+    int64_info = np.iinfo("int64")
+    ser = Series([int64_info.max, None, int64_info.min], dtype=pd.Int64Dtype())
+    df = DataFrame({"Int64": ser})
+    result = getattr(df, method)(numeric_only=numeric_only)
+    expected = Series(
+        [getattr(int64_info, method)], index=pd.Index(["Int64"], dtype="object")
+    )
+    tm.assert_series_equal(result, expected)