add some xfails

Author: jorisvandenbossche

pandas/tests/apply/test_invalid_arg.py

@@ -12,6 +12,8 @@
 import numpy as np
 import pytest
 
+from pandas._config import using_string_dtype
+
 from pandas.errors import SpecificationError
 
 from pandas import (
@@ -209,6 +211,8 @@ def transform(row):
         data.apply(transform, axis=1)
 
 
+# we should raise a proper TypeError instead of propagating the pyarrow error
+@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
 @pytest.mark.parametrize(
     "df, func, expected",
     tm.get_cython_table_params(
@@ -229,6 +233,8 @@ def test_agg_cython_table_raises_frame(df, func, expected, axis, using_infer_str
             df.agg(func, axis=axis)
 
 
+# we should raise a proper TypeError instead of propagating the pyarrow error
+@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
 @pytest.mark.parametrize(
     "series, func, expected",
     chain(

pandas/tests/extension/base/ops.py

@@ -140,6 +140,7 @@ class BaseArithmeticOpsTests(BaseOpsUtil):
     series_array_exc: type[Exception] | None = TypeError
     divmod_exc: type[Exception] | None = TypeError
 
+    @pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
     def test_arith_series_with_scalar(self, data, all_arithmetic_operators):
         # series & scalar
         if all_arithmetic_operators == "__rmod__" and is_string_dtype(data.dtype):

pandas/tests/groupby/test_groupby_dropna.py

@@ -11,6 +11,10 @@
 import pandas._testing as tm
 from pandas.tests.groupby import get_groupby_method_args
 
+pytestmark = pytest.mark.xfail(
+    using_string_dtype(), reason="TODO(infer_string)", strict=False
+)
+
 
 @pytest.mark.parametrize(
     "dropna, tuples, outputs",