CI: xfail tests failing on numpy dev (pandas-dev#44362)

me-kbs · Nov 9, 2021 · d779366 · d779366
1 parent d64f117
commit d779366
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Showing 3 changed files with 3 additions and 2 deletions.
diff --git a/pandas/core/arrays/sparse/scipy_sparse.py b/pandas/core/arrays/sparse/scipy_sparse.py
@@ -181,7 +181,7 @@ def coo_to_sparse_series(
 
     Parameters
     ----------
-    A : scipy.sparse.coo.coo_matrix
+    A : scipy.sparse.coo_matrix
     dense_index : bool, default False
 
     Returns

diff --git a/pandas/tests/arrays/sparse/test_array.py b/pandas/tests/arrays/sparse/test_array.py
@@ -1255,7 +1255,7 @@ def test_to_coo(
         A, rows, cols = ss.sparse.to_coo(
             row_levels=(0, 1), column_levels=(2, 3), sort_labels=sort_labels
         )
-        assert isinstance(A, scipy.sparse.coo.coo_matrix)
+        assert isinstance(A, scipy.sparse.coo_matrix)
         tm.assert_numpy_array_equal(A.toarray(), expected_A)
         assert rows == expected_rows
         assert cols == expected_cols

diff --git a/pandas/tests/window/test_rolling.py b/pandas/tests/window/test_rolling.py
@@ -1634,6 +1634,7 @@ def test_rolling_quantile_np_percentile():
     tm.assert_almost_equal(df_quantile.values, np.array(np_percentile))
 
 
+@pytest.mark.xfail(reason="GH#44343", strict=False)
 @pytest.mark.parametrize("quantile", [0.0, 0.1, 0.45, 0.5, 1])
 @pytest.mark.parametrize(
     "interpolation", ["linear", "lower", "higher", "nearest", "midpoint"]