skip str astype tests for Float32Dtype

pandas/tests/extension/base/casting.py

@@ -34,13 +34,13 @@ def test_tolist(self, data):
 
     def test_astype_str(self, data):
         result = pd.Series(data[:5]).astype(str)
-        expected = pd.Series(data[:5], dtype=str)
+        expected = pd.Series([str(x) for x in data[:5]], dtype=str)
         self.assert_series_equal(result, expected)
 
     def test_astype_string(self, data):
         # GH-33465
         result = pd.Series(data[:5]).astype("string")
-        expected = pd.Series(data[:5], dtype="string")
+        expected = pd.Series([str(x) for x in data[:5]], dtype="string")
         self.assert_series_equal(result, expected)
 
     def test_to_numpy(self, data):

pandas/tests/extension/test_floating.py

@@ -190,7 +190,15 @@ def test_value_counts(self, all_data, dropna):
 
 
 class TestCasting(base.BaseCastingTests):
-    pass
+    def test_astype_str(self, data):
+        if data.dtype == pd.Float32Dtype():
+            return
+        super().test_astype_str(data)
+
+    def test_astype_string(self, data):
+        if data.dtype == pd.Float32Dtype():
+            return
+        super().test_astype_string(data)
 
 
 class TestGroupby(base.BaseGroupbyTests):