[ArrayManager] Fix window operations with axis=1

.github/workflows/ci.yml

@@ -192,3 +192,4 @@ jobs:
         pytest pandas/tests/tseries/
         pytest pandas/tests/tslibs/
         pytest pandas/tests/util/
+        pytest pandas/tests/window/

pandas/conftest.py

@@ -190,7 +190,7 @@ def add_imports(doctest_namespace):
 # ----------------------------------------------------------------
 # Common arguments
 # ----------------------------------------------------------------
-@pytest.fixture(params=[0, 1, "index", "columns"], ids=lambda x: f"axis {repr(x)}")
+@pytest.fixture(params=[0, 1, "index", "columns"], ids=lambda x: f"axis={repr(x)}")
 def axis(request):
     """
     Fixture for returning the axis numbers of a DataFrame.

pandas/core/internals/array_manager.py

@@ -403,6 +403,30 @@ def apply(
 
         return type(self)(result_arrays, new_axes)
 
+    def apply_2d(
+        self: T,
+        f,
+        ignore_failures: bool = False,
+        **kwargs,
+    ) -> T:
+        """
+        Variant of `apply`, but where the function should not be applied to
+        each column independently, but to the full data as a 2D array.
+        """
+        values = self.as_array()
+        try:
+            result = f(values, **kwargs)
+        except (TypeError, NotImplementedError):
+            if not ignore_failures:
+                raise
+            result_arrays = []
+            new_axes = [self._axes[0], self.axes[1].take([])]
+        else:
+            result_arrays = [result[:, i] for i in range(len(self._axes[1]))]
+            new_axes = self._axes
+
+        return type(self)(result_arrays, new_axes)
+
     def apply_with_block(self: T, f, align_keys=None, **kwargs) -> T:
 
         align_keys = align_keys or []

pandas/core/window/rolling.py

@@ -69,6 +69,7 @@
     Index,
     MultiIndex,
 )
+from pandas.core.internals import ArrayManager
 from pandas.core.reshape.concat import concat
 from pandas.core.util.numba_ import (
     NUMBA_FUNC_CACHE,
@@ -410,7 +411,14 @@ def hfunc(bvalues: ArrayLike) -> ArrayLike:
             res_values = homogeneous_func(values)
             return getattr(res_values, "T", res_values)
 
-        new_mgr = mgr.apply(hfunc, ignore_failures=True)
+        def hfunc2d(values: ArrayLike) -> ArrayLike:
+            values = self._prep_values(values)
+            return homogeneous_func(values)
+
+        if isinstance(mgr, ArrayManager) and self.axis == 1:
+            new_mgr = mgr.apply_2d(hfunc2d, ignore_failures=True)
+        else:
+            new_mgr = mgr.apply(hfunc, ignore_failures=True)
         out = obj._constructor(new_mgr)
 
         if out.shape[1] == 0 and obj.shape[1] > 0:

pandas/tests/window/test_rolling.py

@@ -397,7 +397,7 @@ def test_rolling_datetime(axis_frame, tz_naive_fixture):
     tm.assert_frame_equal(result, expected)
 
 
-def test_rolling_window_as_string():
+def test_rolling_window_as_string(using_array_manager):
     # see gh-22590
     date_today = datetime.now()
     days = date_range(date_today, date_today + timedelta(365), freq="D")
@@ -450,9 +450,11 @@ def test_rolling_window_as_string():
         + [95.0] * 20
     )
 
-    expected = Series(
-        expData, index=days.rename("DateCol")._with_freq(None), name="metric"
-    )
+    index = days.rename("DateCol")
+    if not using_array_manager:
+        # INFO(ArrayManager) preserves the frequence of the index
+        index = index._with_freq(None)
+    expected = Series(expData, index=index, name="metric")
     tm.assert_series_equal(result, expected)