Skip to content

TST: Test for setting indexed Series of type string[pyarrow] using dataframe loc #52514

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 2 commits into from
Apr 8, 2023
Merged

TST: Test for setting indexed Series of type string[pyarrow] using dataframe loc #52514

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
8329cdd
TST: Test for setting indexed pyarrow string Series using loc
Apr 7, 2023
4a9b23c
review feedback: pyarrow import
numanijaz Apr 8, 2023
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
22 changes: 22 additions & 0 deletions pandas/tests/indexing/test_loc.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2970,6 +2970,28 @@ def test_loc_periodindex_3_levels():
assert mi_series.loc[(p_index[0], "A", "B")] == 1.0


def test_loc_setitem_pyarrow_strings():
# GH#52319
pytest.importorskip("pyarrow")
df = DataFrame(
{
"strings": Series(["A", "B", "C"], dtype="string[pyarrow]"),
"ids": Series([True, True, False]),
}
)
new_value = Series(["X", "Y"])
df.loc[df.ids, "strings"] = new_value

expected_df = DataFrame(
{
"strings": Series(["X", "Y", "C"], dtype="string[pyarrow]"),
"ids": Series([True, True, False]),
}
)

tm.assert_frame_equal(df, expected_df)


class TestLocSeries:
@pytest.mark.parametrize("val,expected", [(2**63 - 1, 3), (2**63, 4)])
def test_loc_uint64(self, val, expected):
Expand Down