fixup skip if no pyarrow

Author: jorisvandenbossche

pandas/tests/groupby/test_groupby_dropna.py

@@ -1,6 +1,8 @@
 import numpy as np
 import pytest
 
+import pandas.util._test_decorators as td
+
 from pandas.core.dtypes.missing import na_value_for_dtype
 
 import pandas as pd
@@ -409,7 +411,7 @@ def test_groupby_drop_nan_with_multi_index():
         "Float64",
         "category",
         "string",
-        "string[pyarrow]",
+        pytest.param("string[pyarrow]", marks=td.skip_if_no("pyarrow")),
         "datetime64[ns]",
         "period[D]",
         "Sparse[float]",