Improve robustness of test for converting schemas to dataframes

This test was brittle to the addition of new fields in the `ColumnSchema` dataclass, but minor rework avoids that issue.

tests/unit/schema/test_schema.py

@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import dataclasses
+
 import pytest
 
 from merlin.dag import ColumnSelector
@@ -157,8 +159,11 @@ def test_schema_to_pandas():
     schema_set = Schema(["a", "b", "c"])
     df = schema_set.to_pandas()
 
+    expected_columns = [field.name for field in dataclasses.fields(ColumnSchema)]
+    expected_columns.remove("properties")
+
     assert isinstance(df, pd.DataFrame)
-    assert list(df.columns) == ["name", "tags", "dtype", "is_list", "is_ragged"]
+    assert list(df.columns) == expected_columns
 
 
 def test_construct_schema_with_column_names():