test_map: use data_missing to exercise na_action (#54446)

Change `data` to `data_missing` to exercise the `na_action` parameter.

Signed-off-by: Michael Tiemann <[email protected]>

Author: MichaelTiemannOSC

pandas/tests/extension/base/methods.py

@@ -94,9 +94,9 @@ def test_apply_simple_series(self, data):
         assert isinstance(result, pd.Series)
 
     @pytest.mark.parametrize("na_action", [None, "ignore"])
-    def test_map(self, data, na_action):
-        result = data.map(lambda x: x, na_action=na_action)
-        expected = data.to_numpy()
+    def test_map(self, data_missing, na_action):
+        result = data_missing.map(lambda x: x, na_action=na_action)
+        expected = data_missing.to_numpy()
         tm.assert_numpy_array_equal(result, expected)
 
     def test_argsort(self, data_for_sorting):