TST: stricter xfails, catch/suppress warnings

pandas/tests/arithmetic/conftest.py

@@ -231,22 +231,6 @@ def box(request):
     return request.param
 
 
-@pytest.fixture(
-    params=[
-        pd.Index,
-        pd.Series,
-        pytest.param(pd.DataFrame, marks=pytest.mark.xfail),
-        tm.to_array,
-    ],
-    ids=id_func,
-)
-def box_df_fail(request):
-    """
-    Fixture equivalent to `box` fixture but xfailing the DataFrame case.
-    """
-    return request.param
-
-
 @pytest.fixture(params=[pd.Index, pd.Series, pd.DataFrame, tm.to_array], ids=id_func)
 def box_with_array(request):
     """

pandas/tests/arithmetic/test_interval.py

@@ -3,6 +3,8 @@
 import numpy as np
 import pytest
 
+from pandas.compat import is_platform_windows
+
 from pandas.core.dtypes.common import is_list_like
 
 import pandas as pd
@@ -126,12 +128,19 @@ def test_compare_scalar_interval_mixed_closed(self, op, closed, other_closed):
         expected = self.elementwise_comparison(op, array, other)
         tm.assert_numpy_array_equal(result, expected)
 
-    def test_compare_scalar_na(self, op, array, nulls_fixture):
+    def test_compare_scalar_na(self, op, array, nulls_fixture, request):
         result = op(array, nulls_fixture)
         expected = self.elementwise_comparison(op, array, nulls_fixture)
 
-        if nulls_fixture is pd.NA and array.dtype != pd.IntervalDtype("int"):
-            pytest.xfail("broken for non-integer IntervalArray; see GH 31882")
+        if (
+            nulls_fixture is pd.NA
+            and array.dtype != pd.IntervalDtype("int")
+            and not is_platform_windows()
+        ):
+            mark = pytest.mark.xfail(
+                reason="broken for non-integer IntervalArray; see GH 31882"
+            )
+            request.node.add_marker(mark)
 
         tm.assert_numpy_array_equal(result, expected)
 
@@ -207,13 +216,15 @@ def test_compare_list_like_object(self, op, array, other):
         expected = self.elementwise_comparison(op, array, other)
         tm.assert_numpy_array_equal(result, expected)
 
-    def test_compare_list_like_nan(self, op, array, nulls_fixture):
+    def test_compare_list_like_nan(self, op, array, nulls_fixture, request):
         other = [nulls_fixture] * 4
         result = op(array, other)
         expected = self.elementwise_comparison(op, array, other)
 
-        if nulls_fixture is pd.NA:
-            pytest.xfail("broken for non-integer IntervalArray; see GH 31882")
+        if nulls_fixture is pd.NA and array.dtype.subtype != "i8":
+            reason = "broken for non-integer IntervalArray; see GH 31882"
+            mark = pytest.mark.xfail(reason=reason)
+            request.node.add_marker(mark)
 
         tm.assert_numpy_array_equal(result, expected)
 

pandas/tests/indexes/test_index_new.py

@@ -83,7 +83,7 @@ def test_constructor_infer_periodindex(self):
         ],
     )
     def test_constructor_infer_nat_dt_like(
-        self, pos, klass, dtype, ctor, nulls_fixture
+        self, pos, klass, dtype, ctor, nulls_fixture, request
     ):
         expected = klass([NaT, NaT])
         assert expected.dtype == dtype
@@ -92,7 +92,8 @@ def test_constructor_infer_nat_dt_like(
 
         if nulls_fixture is NA:
             expected = Index([NA, NaT])
-            pytest.xfail("Broken with np.NaT ctor; see GH 31884")
+            mark = pytest.mark.xfail(reason="Broken with np.NaT ctor; see GH 31884")
+            request.node.add_marker(mark)
 
         result = Index(data)
         tm.assert_index_equal(result, expected)

pandas/tests/io/test_common.py

@@ -235,6 +235,11 @@ def test_read_expands_user_home_dir(
             ),
         ],
     )
+    @pytest.mark.filterwarnings(
+        "ignore:This method will be removed in future versions.  "
+        r"Use 'tree.iter\(\)' or 'list\(tree.iter\(\)\)' instead."
+        ":PendingDeprecationWarning"
+    )
     def test_read_fspath_all(self, reader, module, path, datapath):
         pytest.importorskip(module)
         path = datapath(*path)

pandas/tests/plotting/test_datetimelike.py

@@ -1242,7 +1242,9 @@ def test_ax_plot(self):
         x = date_range(start="2012-01-02", periods=10, freq="D")
         y = list(range(len(x)))
         _, ax = self.plt.subplots()
-        lines = ax.plot(x, y, label="Y")
+        with tm.assert_produces_warning(DeprecationWarning, check_stacklevel=False):
+            # multi-dimensional indexing
+            lines = ax.plot(x, y, label="Y")
         tm.assert_index_equal(DatetimeIndex(lines[0].get_xdata()), x)
 
     @pytest.mark.slow
@@ -1456,7 +1458,9 @@ def test_add_matplotlib_datetime64(self):
         # ax.xaxis.converter with a DatetimeConverter
         s = Series(np.random.randn(10), index=date_range("1970-01-02", periods=10))
         ax = s.plot()
-        ax.plot(s.index, s.values, color="g")
+        with tm.assert_produces_warning(DeprecationWarning):
+            # multi-dimensional indexing
+            ax.plot(s.index, s.values, color="g")
         l1, l2 = ax.lines
         tm.assert_numpy_array_equal(l1.get_xydata(), l2.get_xydata())