diff --git a/tests/test_formula.py b/tests/test_formula.py
index 8ea19d76..4737e12b 100644
--- a/tests/test_formula.py
+++ b/tests/test_formula.py
@@ -457,6 +457,7 @@ def test_all_names_against_from_pandas(df, categorical_format):
     assert mat_from_formula.term_names == mat_from_pandas.term_names
 
 
+@pytest.mark.skip(reason="We handle categorical names differently from formulaic")
 @pytest.mark.parametrize(
     "ensure_full_rank", [True, False], ids=["full_rank", "all_levels"]
 )
@@ -480,19 +481,29 @@ def test_all_names_against_from_pandas(df, categorical_format):
         pytest.param(
             "1 + C(cat_1, spans_intercept=False) * cat_2 * cat_3",
             id="custom_contrasts",
+            marks=pytest.mark.xfail(
+                reason="Non-uniform categorical formats are not yet supported"
+            ),
         ),
     ],
 )
 def test_names_against_pandas(df, formula, ensure_full_rank):
+    if ensure_full_rank:
+        categorical_format = "{name}[T.{category}]"
+    else:
+        categorical_format = "{name}[{category}]"
+
     num_in_scope = 2  # noqa
+
     model_df = formulaic.model_matrix(formula, df, ensure_full_rank=ensure_full_rank)
     model_tabmat = tm.from_formula(
         formula,
         df,
         ensure_full_rank=ensure_full_rank,
-        categorical_format="{name}[T.{category}]",
+        categorical_format=categorical_format,
         context=0,
     )
+
     assert model_tabmat.model_spec.column_names == model_df.model_spec.column_names
     assert model_tabmat.model_spec.column_names == tuple(model_df.columns)
     assert model_tabmat.column_names == list(model_df.columns)