Skip to content

TST: GroupBy on 2 rows of MultiIndex returns correct group indices #35494

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
Aug 3, 2020
Merged

TST: GroupBy on 2 rows of MultiIndex returns correct group indices #35494

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
14 changes: 14 additions & 0 deletions pandas/tests/groupby/test_groupby.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2055,3 +2055,17 @@ def test_groups_repr_truncates(max_seq_items, expected):

result = df.groupby(np.array(df.a)).groups.__repr__()
assert result == expected


def test_group_on_two_row_multiindex_returns_one_tuple_key():
# GH 18451
df = pd.DataFrame([{"a": 1, "b": 2, "c": 99}, {"a": 1, "b": 2, "c": 88}])
df = df.set_index(["a", "b"])

grp = df.groupby(["a", "b"])
result = grp.indices
expected = {(1, 2): np.array([0, 1], dtype=np.int64)}

assert len(result) == 1
key = (1, 2)
assert (result[key] == expected[key]).all()