CLN: Remove unused fixtures

pandas/conftest.py

@@ -174,14 +174,6 @@ def axis(request):
 axis_frame = axis
 
 
-@pytest.fixture(params=[0, "index"], ids=lambda x: f"axis {repr(x)}")
-def axis_series(request):
-    """
-    Fixture for returning the axis numbers of a Series.
-    """
-    return request.param
-
-
 @pytest.fixture(params=[True, False, None])
 def observed(request):
     """
@@ -1239,15 +1231,6 @@ def spmatrix(request):
     return getattr(sparse, request.param + "_matrix")
 
 
-@pytest.fixture(params=list(tm.cython_table))
-def cython_table_items(request):
-    """
-    Yields a tuple of a function and its corresponding name. Correspond to
-    the list of aggregator "Cython functions" used on selected table items.
-    """
-    return request.param
-
-
 @pytest.fixture(
     params=[
         getattr(pd.offsets, o)

pandas/tests/arrays/boolean/test_construction.py

@@ -7,14 +7,6 @@
 from pandas.core.arrays.boolean import coerce_to_array
 
 
-@pytest.fixture
-def data():
-    return pd.array(
-        [True, False] * 4 + [np.nan] + [True, False] * 44 + [np.nan] + [True, False],
-        dtype="boolean",
-    )
-
-
 def test_boolean_array_constructor():
     values = np.array([True, False, True, False], dtype="bool")
     mask = np.array([False, False, False, True], dtype="bool")

pandas/tests/arrays/boolean/test_function.py

@@ -5,14 +5,6 @@
 import pandas._testing as tm
 
 
-@pytest.fixture
-def data():
-    return pd.array(
-        [True, False] * 4 + [np.nan] + [True, False] * 44 + [np.nan] + [True, False],
-        dtype="boolean",
-    )
-
-
 @pytest.mark.parametrize(
     "ufunc", [np.add, np.logical_or, np.logical_and, np.logical_xor]
 )

pandas/tests/arrays/sparse/test_array.py

@@ -14,11 +14,6 @@
 from pandas.core.arrays.sparse import SparseArray, SparseDtype
 
 
-@pytest.fixture(params=["integer", "block"])
-def kind(request):
-    return request.param
-
-
 class TestSparseArray:
     def setup_method(self, method):
         self.arr_data = np.array([np.nan, np.nan, 1, 2, 3, np.nan, 4, 5, np.nan, 6])

pandas/tests/indexes/interval/test_setops.py

@@ -5,11 +5,6 @@
 import pandas._testing as tm
 
 
-@pytest.fixture(scope="class", params=[None, "foo"])
-def name(request):
-    return request.param
-
-
 def monotonic_index(start, end, dtype="int64", closed="right"):
     return IntervalIndex.from_breaks(np.arange(start, end, dtype=dtype), closed=closed)
 

pandas/tests/resample/conftest.py

@@ -34,12 +34,6 @@ def downsample_method(request):
     return request.param
 
 
-@pytest.fixture(params=upsample_methods)
-def upsample_method(request):
-    """Fixture for parametrization of Grouper upsample methods."""
-    return request.param
-
-
 @pytest.fixture(params=resample_methods)
 def resample_method(request):
     """Fixture for parametrization of Grouper resample methods."""

pandas/tests/window/conftest.py

@@ -42,21 +42,11 @@ def arithmetic_win_operators(request):
     return request.param
 
 
-@pytest.fixture(params=["right", "left", "both", "neither"])
-def closed(request):
-    return request.param
-
-
 @pytest.fixture(params=[True, False])
 def center(request):
     return request.param
 
 
-@pytest.fixture(params=[None, 1])
-def min_periods(request):
-    return request.param
-
-
 @pytest.fixture(params=[True, False])
 def parallel(request):
     """parallel keyword argument for numba.jit"""
@@ -75,14 +65,6 @@ def nopython(request):
     return request.param
 
 
-@pytest.fixture(
-    params=[pytest.param("numba", marks=td.skip_if_no("numba", "0.46.0")), "cython"]
-)
-def engine(request):
-    """engine keyword argument for rolling.apply"""
-    return request.param
-
-
 @pytest.fixture(
     params=[
         pytest.param(("numba", True), marks=td.skip_if_no("numba", "0.46.0")),