TST: Remove arraymanager markers (#56626)

pandas/tests/copy_view/test_astype.py

@@ -4,7 +4,6 @@
 import pytest
 
 from pandas.compat.pyarrow import pa_version_under12p0
-import pandas.util._test_decorators as td
 
 import pandas as pd
 from pandas import (
@@ -88,7 +87,6 @@ def test_astype_different_target_dtype(using_copy_on_write, dtype):
     tm.assert_frame_equal(df2, df_orig.astype(dtype))
 
 
-@td.skip_array_manager_invalid_test
 def test_astype_numpy_to_ea():
     ser = Series([1, 2, 3])
     with pd.option_context("mode.copy_on_write", True):

pandas/tests/copy_view/test_internals.py

@@ -1,15 +1,12 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 import pandas as pd
 from pandas import DataFrame
 import pandas._testing as tm
 from pandas.tests.copy_view.util import get_array
 
 
-@td.skip_array_manager_invalid_test
 def test_consolidate(using_copy_on_write):
     # create unconsolidated DataFrame
     df = DataFrame({"a": [1, 2, 3], "b": [0.1, 0.2, 0.3]})
@@ -46,7 +43,6 @@ def test_consolidate(using_copy_on_write):
 
 
 @pytest.mark.single_cpu
-@td.skip_array_manager_invalid_test
 def test_switch_options():
     # ensure we can switch the value of the option within one session
     # (assuming data is constructed after switching)
@@ -75,7 +71,6 @@ def test_switch_options():
         assert df.iloc[0, 0] == 0
 
 
-@td.skip_array_manager_invalid_test
 @pytest.mark.parametrize("dtype", [np.intp, np.int8])
 @pytest.mark.parametrize(
     "locs, arr",

pandas/tests/frame/indexing/test_indexing.py

@@ -15,7 +15,6 @@
     PerformanceWarning,
     SettingWithCopyError,
 )
-import pandas.util._test_decorators as td
 
 from pandas.core.dtypes.common import is_integer
 
@@ -574,7 +573,6 @@ def test_getitem_setitem_integer_slice_keyerrors(self):
         with pytest.raises(KeyError, match=r"^3$"):
             df2.loc[3:11] = 0
 
-    @td.skip_array_manager_invalid_test  # already covered in test_iloc_col_slice_view
     def test_fancy_getitem_slice_mixed(
         self, float_frame, float_string_frame, using_copy_on_write, warn_copy_on_write
     ):
@@ -640,7 +638,6 @@ def test_getitem_fancy_scalar(self, float_frame):
             for idx in f.index[::5]:
                 assert ix[idx, col] == ts[idx]
 
-    @td.skip_array_manager_invalid_test  # TODO(ArrayManager) rewrite not using .values
     def test_setitem_fancy_scalar(self, float_frame):
         f = float_frame
         expected = float_frame.copy()
@@ -680,7 +677,6 @@ def test_getitem_fancy_boolean(self, float_frame):
         expected = f.reindex(index=f.index[boolvec], columns=["C", "D"])
         tm.assert_frame_equal(result, expected)
 
-    @td.skip_array_manager_invalid_test  # TODO(ArrayManager) rewrite not using .values
     def test_setitem_fancy_boolean(self, float_frame):
         # from 2d, set with booleans
         frame = float_frame.copy()
@@ -1404,7 +1400,6 @@ def test_loc_setitem_rhs_frame(self, idxr, val, warn):
         expected = DataFrame({"a": [np.nan, val]})
         tm.assert_frame_equal(df, expected)
 
-    @td.skip_array_manager_invalid_test
     def test_iloc_setitem_enlarge_no_warning(self, warn_copy_on_write):
         # GH#47381
         df = DataFrame(columns=["a", "b"])

pandas/tests/frame/indexing/test_setitem.py

@@ -3,8 +3,6 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 from pandas.core.dtypes.base import _registry as ea_registry
 from pandas.core.dtypes.common import is_object_dtype
 from pandas.core.dtypes.dtypes import (
@@ -704,8 +702,6 @@ def test_setitem_ea_dtype_rhs_series(self):
         expected = DataFrame({"a": [1, 2]}, dtype="Int64")
         tm.assert_frame_equal(df, expected)
 
-    # TODO(ArrayManager) set column with 2d column array, see #44788
-    @td.skip_array_manager_not_yet_implemented
     def test_setitem_npmatrix_2d(self):
         # GH#42376
         # for use-case df["x"] = sparse.random((10, 10)).mean(axis=1)
@@ -1063,7 +1059,6 @@ def inc(x):
 
 
 class TestDataFrameSetItemBooleanMask:
-    @td.skip_array_manager_invalid_test  # TODO(ArrayManager) rewrite not using .values
     @pytest.mark.parametrize(
         "mask_type",
         [lambda df: df > np.abs(df) / 2, lambda df: (df > np.abs(df) / 2).values],
@@ -1307,7 +1302,6 @@ def test_setitem_not_operating_inplace(self, value, set_value, indexer):
         df[indexer] = set_value
         tm.assert_frame_equal(view, expected)
 
-    @td.skip_array_manager_invalid_test
     def test_setitem_column_update_inplace(
         self, using_copy_on_write, warn_copy_on_write
     ):

pandas/tests/frame/methods/test_copy.py

@@ -46,7 +46,6 @@ def test_copy(self, float_frame, float_string_frame):
         copy = float_string_frame.copy()
         assert copy._mgr is not float_string_frame._mgr
 
-    @td.skip_array_manager_invalid_test
     def test_copy_consolidates(self):
         # GH#42477
         df = DataFrame(

pandas/tests/frame/methods/test_fillna.py

@@ -3,8 +3,6 @@
 
 from pandas._config import using_pyarrow_string_dtype
 
-import pandas.util._test_decorators as td
-
 from pandas import (
     Categorical,
     DataFrame,
@@ -49,7 +47,6 @@ def test_fillna_dict_inplace_nonunique_columns(
         if not using_copy_on_write:
             assert tm.shares_memory(df.iloc[:, 2], orig.iloc[:, 2])
 
-    @td.skip_array_manager_not_yet_implemented
     def test_fillna_on_column_view(self, using_copy_on_write):
         # GH#46149 avoid unnecessary copies
         arr = np.full((40, 50), np.nan)
@@ -752,7 +749,6 @@ def test_fillna_inplace_with_columns_limit_and_value(self):
         df.fillna(axis=1, value=100, limit=1, inplace=True)
         tm.assert_frame_equal(df, expected)
 
-    @td.skip_array_manager_invalid_test
     @pytest.mark.parametrize("val", [-1, {"x": -1, "y": -1}])
     def test_inplace_dict_update_view(
         self, val, using_copy_on_write, warn_copy_on_write

pandas/tests/frame/methods/test_interpolate.py

@@ -470,7 +470,7 @@ def test_interp_string_axis(self, axis_name, axis_number):
 
     @pytest.mark.parametrize("multiblock", [True, False])
     @pytest.mark.parametrize("method", ["ffill", "bfill", "pad"])
-    def test_interp_fillna_methods(self, request, axis, multiblock, method):
+    def test_interp_fillna_methods(self, axis, multiblock, method):
         # GH 12918
         df = DataFrame(
             {

pandas/tests/frame/methods/test_is_homogeneous_dtype.py

@@ -1,16 +1,11 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 from pandas import (
     Categorical,
     DataFrame,
 )
 
-# _is_homogeneous_type always returns True for ArrayManager
-pytestmark = td.skip_array_manager_invalid_test
-
 
 @pytest.mark.parametrize(
     "data, expected",

pandas/tests/frame/methods/test_reindex.py

@@ -13,7 +13,6 @@
     is_platform_windows,
 )
 from pandas.compat.numpy import np_version_gt2
-import pandas.util._test_decorators as td
 
 import pandas as pd
 from pandas import (
@@ -136,7 +135,6 @@ class TestDataFrameSelectReindex:
         reason="Passes int32 values to DatetimeArray in make_na_array on "
         "windows, 32bit linux builds",
     )
-    @td.skip_array_manager_not_yet_implemented
     def test_reindex_tzaware_fill_value(self):
         # GH#52586
         df = DataFrame([[1]])
@@ -198,7 +196,6 @@ def test_reindex_copies_ea(self, using_copy_on_write):
         else:
             assert not np.shares_memory(result2[0].array._data, df[0].array._data)
 
-    @td.skip_array_manager_not_yet_implemented
     def test_reindex_date_fill_value(self):
         # passing date to dt64 is deprecated; enforced in 2.0 to cast to object
         arr = date_range("2016-01-01", periods=6).values.reshape(3, 2)

pandas/tests/frame/methods/test_shift.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 import pandas as pd
 from pandas import (
     CategoricalIndex,
@@ -464,7 +462,6 @@ def test_shift_axis1_multiple_blocks(self):
 
         tm.assert_frame_equal(result, expected)
 
-    @td.skip_array_manager_not_yet_implemented  # TODO(ArrayManager) axis=1 support
     def test_shift_axis1_multiple_blocks_with_int_fill(self):
         # GH#42719
         rng = np.random.default_rng(2)

pandas/tests/frame/methods/test_to_dict_of_blocks.py

@@ -1,17 +1,13 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 from pandas import (
     DataFrame,
     MultiIndex,
 )
 import pandas._testing as tm
 from pandas.core.arrays import NumpyExtensionArray
 
-pytestmark = td.skip_array_manager_invalid_test
-
 
 class TestToDictOfBlocks:
     @pytest.mark.filterwarnings("ignore:Setting a value on a view:FutureWarning")

pandas/tests/frame/methods/test_to_numpy.py

@@ -1,7 +1,5 @@
 import numpy as np
 
-import pandas.util._test_decorators as td
-
 from pandas import (
     DataFrame,
     Timestamp,
@@ -22,7 +20,6 @@ def test_to_numpy_dtype(self):
         result = df.to_numpy(dtype="int64")
         tm.assert_numpy_array_equal(result, expected)
 
-    @td.skip_array_manager_invalid_test
     def test_to_numpy_copy(self, using_copy_on_write):
         arr = np.random.default_rng(2).standard_normal((4, 3))
         df = DataFrame(arr)

pandas/tests/frame/methods/test_transpose.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 from pandas import (
     DataFrame,
     DatetimeIndex,
@@ -126,7 +124,6 @@ def test_transpose_mixed(self):
         for col, s in mixed_T.items():
             assert s.dtype == np.object_
 
-    @td.skip_array_manager_invalid_test
     def test_transpose_get_view(self, float_frame, using_copy_on_write):
         dft = float_frame.T
         dft.iloc[:, 5:10] = 5
@@ -136,7 +133,6 @@ def test_transpose_get_view(self, float_frame, using_copy_on_write):
         else:
             assert (float_frame.values[5:10] == 5).all()
 
-    @td.skip_array_manager_invalid_test
     def test_transpose_get_view_dt64tzget_view(self, using_copy_on_write):
         dti = date_range("2016-01-01", periods=6, tz="US/Pacific")
         arr = dti._data.reshape(3, 2)

pandas/tests/frame/methods/test_update.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 import pandas as pd
 from pandas import (
     DataFrame,
@@ -175,7 +173,6 @@ def test_update_with_different_dtype(self, using_copy_on_write):
         )
         tm.assert_frame_equal(df, expected)
 
-    @td.skip_array_manager_invalid_test
     def test_update_modify_view(
         self, using_copy_on_write, warn_copy_on_write, using_infer_string
     ):

pandas/tests/frame/methods/test_values.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-import pandas.util._test_decorators as td
-
 from pandas import (
     DataFrame,
     NaT,
@@ -15,7 +13,6 @@
 
 
 class TestDataFrameValues:
-    @td.skip_array_manager_invalid_test
     def test_values(self, float_frame, using_copy_on_write):
         if using_copy_on_write:
             with pytest.raises(ValueError, match="read-only"):
@@ -231,7 +228,6 @@ def test_values_lcd(self, mixed_float_frame, mixed_int_frame):
 
 
 class TestPrivateValues:
-    @td.skip_array_manager_invalid_test
     def test_private_values_dt64tz(self, using_copy_on_write):
         dta = date_range("2000", periods=4, tz="US/Central")._data.reshape(-1, 1)
 
@@ -249,7 +245,6 @@ def test_private_values_dt64tz(self, using_copy_on_write):
         df2 = df - df
         tm.assert_equal(df2._values, tda)
 
-    @td.skip_array_manager_invalid_test
     def test_private_values_dt64tz_multicol(self, using_copy_on_write):
         dta = date_range("2000", periods=8, tz="US/Central")._data.reshape(-1, 2)
 

pandas/tests/frame/test_arithmetic.py

@@ -896,7 +896,6 @@ def test_df_arith_2d_array_rowlike_broadcasts(
     ):
         # GH#23000
         opname = all_arithmetic_operators
-
         arr = np.arange(6).reshape(3, 2)
         df = DataFrame(arr, columns=[True, False], index=["A", "B", "C"])
 
@@ -919,7 +918,6 @@ def test_df_arith_2d_array_collike_broadcasts(
     ):
         # GH#23000
         opname = all_arithmetic_operators
-
         arr = np.arange(6).reshape(3, 2)
         df = DataFrame(arr, columns=[True, False], index=["A", "B", "C"])
 

pandas/tests/frame/test_block_internals.py

@@ -8,7 +8,6 @@
 import pytest
 
 from pandas.errors import PerformanceWarning
-import pandas.util._test_decorators as td
 
 import pandas as pd
 from pandas import (
@@ -26,11 +25,6 @@
 # structure
 
 
-# TODO(ArrayManager) check which of those tests need to be rewritten to test the
-# equivalent for ArrayManager
-pytestmark = td.skip_array_manager_invalid_test
-
-
 class TestDataFrameBlockInternals:
     def test_setitem_invalidates_datetime_index_freq(self):
         # GH#24096 altering a datetime64tz column inplace invalidates the

pandas/tests/frame/test_constructors.py

@@ -25,7 +25,6 @@
 
 from pandas._libs import lib
 from pandas.errors import IntCastingNaNError
-import pandas.util._test_decorators as td
 
 from pandas.core.dtypes.common import is_integer_dtype
 from pandas.core.dtypes.dtypes import (
@@ -324,15 +323,13 @@ def test_constructor_dtype_nocast_view_2d_array(
             df2 = DataFrame(df.values, dtype=df[0].dtype)
             assert df2._mgr.arrays[0].flags.c_contiguous
 
-    @td.skip_array_manager_invalid_test
     @pytest.mark.xfail(using_pyarrow_string_dtype(), reason="conversion copies")
     def test_1d_object_array_does_not_copy(self):
         # https://github.com/pandas-dev/pandas/issues/39272
         arr = np.array(["a", "b"], dtype="object")
         df = DataFrame(arr, copy=False)
         assert np.shares_memory(df.values, arr)
 
-    @td.skip_array_manager_invalid_test
     @pytest.mark.xfail(using_pyarrow_string_dtype(), reason="conversion copies")
     def test_2d_object_array_does_not_copy(self):
         # https://github.com/pandas-dev/pandas/issues/39272
@@ -2489,7 +2486,6 @@ def test_constructor_list_str_na(self, string_dtype):
     @pytest.mark.parametrize("copy", [False, True])
     def test_dict_nocopy(
         self,
-        request,
         copy,
         any_numeric_ea_dtype,
         any_numpy_dtype,