xfails and fixes

Author: rhshadrach

pandas/tests/io/pytables/test_append.py

@@ -5,6 +5,8 @@
 import numpy as np
 import pytest
 
+from pandas._config import using_string_dtype
+
 from pandas._libs.tslibs import Timestamp
 from pandas.compat import PY312
 
@@ -514,6 +516,7 @@ def test_append_with_empty_string(setup_path):
         tm.assert_frame_equal(store.select("df"), df)
 
 
+@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 def test_append_with_data_columns(setup_path):
     with ensure_clean_store(setup_path) as store:
         df = DataFrame(

pandas/tests/io/pytables/test_categorical.py

@@ -1,6 +1,8 @@
 import numpy as np
 import pytest
 
+from pandas._config import using_string_dtype
+
 from pandas import (
     Categorical,
     DataFrame,
@@ -138,6 +140,7 @@ def test_categorical(setup_path):
             store.select("df3/meta/s/meta")
 
 
+@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 def test_categorical_conversion(tmp_path, setup_path):
     # GH13322
     # Check that read_hdf with categorical columns doesn't return rows if

pandas/tests/io/pytables/test_errors.py

@@ -91,8 +91,8 @@ def test_unimplemented_dtypes_table_columns(setup_path):
         msg = "|".join(
             [
                 re.escape(
-                    "Cannot serialize the column [datetime1] because its data contents "
-                    "are not [string] but [date] object dtype"
+                    "Cannot serialize the column [datetime1]\nbecause its data "
+                    "contents are not [string] but [date] object dtype"
                 ),
                 re.escape("[date] is not implemented as a table column"),
             ]

pandas/tests/io/pytables/test_select.py

@@ -1,6 +1,8 @@
 import numpy as np
 import pytest
 
+from pandas._config import using_string_dtype
+
 from pandas._libs.tslibs import Timestamp
 from pandas.compat import PY312
 
@@ -664,6 +666,7 @@ def test_frame_select(setup_path, request):
         #     store.select('frame', [crit1, crit2])
 
 
+@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 def test_frame_select_complex(setup_path):
     # select via complex criteria
 
@@ -977,6 +980,7 @@ def test_query_long_float_literal(setup_path):
         tm.assert_frame_equal(expected, result)
 
 
+@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 def test_query_compare_column_type(setup_path):
     # GH 15492
     df = DataFrame(