TST: Added test for pivot_table with int64 dtype and dropna parameter (…

…pandas-dev#60374)

* added tests for int64

* pre-commit changes

* used pytest.mark.parametrize for expected_dtype

pandas/tests/reshape/test_pivot.py

@@ -2376,17 +2376,21 @@ def test_pivot_table_with_margins_and_numeric_columns(self):
 
         tm.assert_frame_equal(result, expected)
 
-    def test_pivot_ea_dtype_dropna(self, dropna):
+    @pytest.mark.parametrize(
+        "dtype,expected_dtype", [("Int64", "Float64"), ("int64", "float64")]
+    )
+    def test_pivot_ea_dtype_dropna(self, dropna, dtype, expected_dtype):
         # GH#47477
-        df = DataFrame({"x": "a", "y": "b", "age": Series([20, 40], dtype="Int64")})
+        # GH#47971
+        df = DataFrame({"x": "a", "y": "b", "age": Series([20, 40], dtype=dtype)})
         result = df.pivot_table(
             index="x", columns="y", values="age", aggfunc="mean", dropna=dropna
         )
         expected = DataFrame(
             [[30]],
             index=Index(["a"], name="x"),
             columns=Index(["b"], name="y"),
-            dtype="Float64",
+            dtype=expected_dtype,
         )
         tm.assert_frame_equal(result, expected)