use repr of fill_value in sparse dtype repr

Author: topper-123

pandas/core/arrays/sparse/dtype.py

@@ -166,7 +166,7 @@ def subtype(self):
 
     @property
     def name(self):
-        return f"Sparse[{self.subtype.name}, {self.fill_value}]"
+        return f"Sparse[{self.subtype.name}, {repr(self.fill_value)}]"
 
     def __repr__(self) -> str:
         return self.name

pandas/tests/extension/test_sparse.py

@@ -402,6 +402,14 @@ class TestPrinting(BaseSparseTests, base.BasePrintingTests):
     def test_array_repr(self, data, size):
         super().test_array_repr(data, size)
 
+    def test_fillna_repr(self):
+        result = str(pd.SparseDtype(int, fill_value=0))
+        expected = "Sparse[object, 0]"
+        assert result == expected
+
+        result = str(pd.SparseDtype(object, fill_value="0"))
+        expected = "Sparse[object, '0']"
+        assert result == expected
 
 class TestParsing(BaseSparseTests, base.BaseParsingTests):
     @pytest.mark.parametrize("engine", ["c", "python"])