Skip to content

Backport PR #44362 on branch 1.3.x (CI: xfail tests failing on numpy dev) #44370

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Nov 9, 2021
Merged

Backport PR #44362 on branch 1.3.x (CI: xfail tests failing on numpy dev) #44370

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion pandas/core/arrays/sparse/scipy_sparse.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ def coo_to_sparse_series(A, dense_index: bool = False):

Parameters
----------
A : scipy.sparse.coo.coo_matrix
A : scipy.sparse.coo_matrix
dense_index : bool, default False

Returns
Expand Down
2 changes: 1 addition & 1 deletion pandas/tests/arrays/sparse/test_array.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1204,7 +1204,7 @@ def test_to_coo(self):
dtype="Sparse[int]",
)
A, _, _ = ser.sparse.to_coo()
assert isinstance(A, scipy.sparse.coo.coo_matrix)
assert isinstance(A, scipy.sparse.coo_matrix)

def test_non_sparse_raises(self):
ser = pd.Series([1, 2, 3])
Expand Down
1 change: 1 addition & 0 deletions pandas/tests/window/moments/test_moments_rolling.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -558,6 +558,7 @@ 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"]
Expand Down