TST: Replace node.add_marker with applymarker (pandas-dev#55513)

doc/source/development/contributing_codebase.rst

@@ -540,7 +540,7 @@ xfail during the testing phase. To do so, use the ``request`` fixture:
 
     def test_xfail(request):
         mark = pytest.mark.xfail(raises=TypeError, reason="Indicate why here")
-        request.node.add_marker(mark)
+        request.applymarker(mark)
 
 xfail is not to be used for tests involving failure due to invalid user arguments.
 For these tests, we need to verify the correct exception type and error message

pandas/tests/apply/test_frame_apply.py

@@ -325,7 +325,7 @@ def test_apply_empty_infer_type(ax, func, raw, axis, engine, request):
             mark = pytest.mark.xfail(
                 reason="numba engine only supports raw=True at the moment"
             )
-            request.node.add_marker(mark)
+            request.applymarker(mark)
 
         result = df.apply(func, axis=axis, engine=engine, raw=raw)
         if is_reduction:

pandas/tests/apply/test_frame_transform.py

@@ -156,7 +156,7 @@ def func(x):
 def test_transform_bad_dtype(op, frame_or_series, request):
     # GH 35964
     if op == "ngroup":
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(raises=ValueError, reason="ngroup not valid for NDFrame")
         )
 
@@ -185,7 +185,7 @@ def test_transform_failure_typeerror(request, op):
     # GH 35964
 
     if op == "ngroup":
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(raises=ValueError, reason="ngroup not valid for NDFrame")
         )
 

pandas/tests/apply/test_series_apply.py

@@ -321,7 +321,7 @@ def test_transform(string_series, by_row):
 def test_transform_partial_failure(op, request):
     # GH 35964
     if op in ("ffill", "bfill", "pad", "backfill", "shift"):
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(reason=f"{op} is successful on any dtype")
         )
 

pandas/tests/apply/test_str.py

@@ -31,7 +31,7 @@
 @pytest.mark.parametrize("how", ["agg", "apply"])
 def test_apply_with_string_funcs(request, float_frame, func, args, kwds, how):
     if len(args) > 1 and how == "agg":
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(
                 raises=TypeError,
                 reason="agg/apply signature mismatch - agg passes 2nd "
@@ -256,7 +256,7 @@ def test_agg_cython_table_transform_frame(df, func, expected, axis):
 def test_transform_groupby_kernel_series(request, string_series, op):
     # GH 35964
     if op == "ngroup":
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(raises=ValueError, reason="ngroup not valid for NDFrame")
         )
     args = [0.0] if op == "fillna" else []
@@ -269,7 +269,7 @@ def test_transform_groupby_kernel_series(request, string_series, op):
 @pytest.mark.parametrize("op", frame_transform_kernels)
 def test_transform_groupby_kernel_frame(request, axis, float_frame, op):
     if op == "ngroup":
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(raises=ValueError, reason="ngroup not valid for NDFrame")
         )
 

pandas/tests/arithmetic/test_datetime64.py

@@ -1084,7 +1084,7 @@ def test_dt64arr_addsub_intlike(
         # GH#19959, GH#19123, GH#19012
         tz = tz_naive_fixture
         if box_with_array is pd.DataFrame:
-            request.node.add_marker(
+            request.applymarker(
                 pytest.mark.xfail(raises=ValueError, reason="Axis alignment fails")
             )
 

pandas/tests/arrays/string_/test_string.py

@@ -151,7 +151,7 @@ def test_add_2d(dtype, request, arrow_string_storage):
     if dtype.storage in arrow_string_storage:
         reason = "Failed: DID NOT RAISE <class 'ValueError'>"
         mark = pytest.mark.xfail(raises=None, reason=reason)
-        request.node.add_marker(mark)
+        request.applymarker(mark)
 
     a = pd.array(["a", "b", "c"], dtype=dtype)
     b = np.array([["a", "b", "c"]], dtype=object)
@@ -180,7 +180,7 @@ def test_mul(dtype, request, arrow_string_storage):
     if dtype.storage in arrow_string_storage:
         reason = "unsupported operand type(s) for *: 'ArrowStringArray' and 'int'"
         mark = pytest.mark.xfail(raises=NotImplementedError, reason=reason)
-        request.node.add_marker(mark)
+        request.applymarker(mark)
 
     a = pd.array(["a", "b", None], dtype=dtype)
     result = a * 2
@@ -446,7 +446,7 @@ def test_min_max_numpy(method, box, dtype, request, arrow_string_storage):
         else:
             reason = "'ArrowStringArray' object has no attribute 'max'"
         mark = pytest.mark.xfail(raises=TypeError, reason=reason)
-        request.node.add_marker(mark)
+        request.applymarker(mark)
 
     arr = box(["a", "b", "c", None], dtype=dtype)
     result = getattr(np, method)(arr)

pandas/tests/base/test_conversion.py

@@ -337,7 +337,7 @@ def test_to_numpy(arr, expected, index_or_series_or_array, request):
 
     if arr.dtype.name == "int64" and box is pd.array:
         mark = pytest.mark.xfail(reason="thing is Int64 and to_numpy() returns object")
-        request.node.add_marker(mark)
+        request.applymarker(mark)
 
     result = thing.to_numpy()
     tm.assert_numpy_array_equal(result, expected)

pandas/tests/base/test_misc.py

@@ -141,7 +141,7 @@ def test_searchsorted(request, index_or_series_obj):
 
     if isinstance(obj, pd.MultiIndex):
         # See gh-14833
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(
                 reason="np.searchsorted doesn't work on pd.MultiIndex: GH 14833"
             )
@@ -150,7 +150,7 @@ def test_searchsorted(request, index_or_series_obj):
         # TODO: Should Series cases also raise? Looks like they use numpy
         #  comparison semantics https://github.com/numpy/numpy/issues/15981
         mark = pytest.mark.xfail(reason="complex objects are not comparable")
-        request.node.add_marker(mark)
+        request.applymarker(mark)
 
     max_obj = max(obj, default=0)
     index = np.searchsorted(obj, max_obj)

pandas/tests/computation/test_eval.py

@@ -194,7 +194,7 @@ def test_compound_invert_op(self, op, lhs, rhs, request, engine, parser):
                 reason="Looks like expected is negative, unclear whether "
                 "expected is incorrect or result is incorrect"
             )
-            request.node.add_marker(mark)
+            request.applymarker(mark)
         skip_these = ["in", "not in"]
         ex = f"~(lhs {op} rhs)"
 
@@ -860,7 +860,7 @@ def test_basic_series_frame_alignment(
                 f"parser={parser}, index_name={index_name}, "
                 f"r_idx_type={r_idx_type}, c_idx_type={c_idx_type}"
             )
-            request.node.add_marker(pytest.mark.xfail(reason=reason, strict=False))
+            request.applymarker(pytest.mark.xfail(reason=reason, strict=False))
         df = tm.makeCustomDataframe(
             10, 7, data_gen_f=f, r_idx_type=r_idx_type, c_idx_type=c_idx_type
         )
@@ -1883,7 +1883,7 @@ def test_negate_lt_eq_le(engine, parser):
 def test_eval_no_support_column_name(request, column):
     # GH 44603
     if column in ["True", "False", "inf", "Inf"]:
-        request.node.add_marker(
+        request.applymarker(
             pytest.mark.xfail(
                 raises=KeyError,
                 reason=f"GH 47859 DataFrame eval not supported with {column}",

pandas/tests/copy_view/test_core_functionalities.py

@@ -57,7 +57,7 @@ def test_setitem_with_view_invalidated_does_not_copy(using_copy_on_write, reques
         mark = pytest.mark.xfail(
             reason="blk.delete does not track references correctly"
         )
-        request.node.add_marker(mark)
+        request.applymarker(mark)
         assert np.shares_memory(arr, get_array(df, "a"))
 
 

pandas/tests/extension/decimal/test_decimal.py

@@ -85,14 +85,14 @@ def check_reduce(self, ser: pd.Series, op_name: str, skipna: bool):
     def test_reduce_series_numeric(self, data, all_numeric_reductions, skipna, request):
         if all_numeric_reductions in ["kurt", "skew", "sem", "median"]:
             mark = pytest.mark.xfail(raises=NotImplementedError)
-            request.node.add_marker(mark)
+            request.applymarker(mark)
         super().test_reduce_series_numeric(data, all_numeric_reductions, skipna)
 
     def test_reduce_frame(self, data, all_numeric_reductions, skipna, request):
         op_name = all_numeric_reductions
         if op_name in ["skew", "median"]:
             mark = pytest.mark.xfail(raises=NotImplementedError)
-            request.node.add_marker(mark)
+            request.applymarker(mark)
 
         return super().test_reduce_frame(data, all_numeric_reductions, skipna)
 

pandas/tests/extension/json/test_json.py

@@ -237,7 +237,7 @@ def test_equals_same_data_different_object(
     ):
         if using_copy_on_write:
             mark = pytest.mark.xfail(reason="Fails with CoW")
-            request.node.add_marker(mark)
+            request.applymarker(mark)
         super().test_equals_same_data_different_object(data)
 
 
@@ -300,15 +300,15 @@ class TestArithmeticOps(BaseJSON, base.BaseArithmeticOpsTests):
     def test_arith_frame_with_scalar(self, data, all_arithmetic_operators, request):
         if len(data[0]) != 1:
             mark = pytest.mark.xfail(reason="raises in coercing to Series")
-            request.node.add_marker(mark)
+            request.applymarker(mark)
         super().test_arith_frame_with_scalar(data, all_arithmetic_operators)
 
 
 class TestComparisonOps(BaseJSON, base.BaseComparisonOpsTests):
     def test_compare_array(self, data, comparison_op, request):
         if comparison_op.__name__ in ["eq", "ne"]:
             mark = pytest.mark.xfail(reason="Comparison methods not implemented")
-            request.node.add_marker(mark)
+            request.applymarker(mark)
         super().test_compare_array(data, comparison_op)