Skip to content

TST: add regression test for MultiIndex with IntervalIndex level #27572

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 Jul 25, 2019
Merged

TST: add regression test for MultiIndex with IntervalIndex level #27572

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
35 changes: 35 additions & 0 deletions pandas/tests/indexing/interval/test_interval.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,3 +112,38 @@ def test_loc_getitem_frame(self):
# partial missing
with pytest.raises(KeyError, match="^$"):
df.loc[[10, 4]]


class TestIntervalIndexInsideMultiIndex:
def test_mi_intervalindex_slicing_with_scalar(self):
# GH#27456
idx = pd.MultiIndex.from_arrays(
[
pd.Index(["FC", "FC", "FC", "FC", "OWNER", "OWNER", "OWNER", "OWNER"]),
pd.Index(
["RID1", "RID1", "RID2", "RID2", "RID1", "RID1", "RID2", "RID2"]
),
pd.IntervalIndex.from_arrays(
[0, 1, 10, 11, 0, 1, 10, 11], [1, 2, 11, 12, 1, 2, 11, 12]
),
]
)

idx.names = ["Item", "RID", "MP"]
df = pd.DataFrame({"value": [1, 2, 3, 4, 5, 6, 7, 8]})
df.index = idx
query_df = pd.DataFrame(
{
"Item": ["FC", "OWNER", "FC", "OWNER", "OWNER"],
"RID": ["RID1", "RID1", "RID1", "RID2", "RID2"],
"MP": [0.2, 1.5, 1.6, 11.1, 10.9],
}
)

query_df = query_df.sort_index()

idx = pd.MultiIndex.from_arrays([query_df.Item, query_df.RID, query_df.MP])
query_df.index = idx
result = df.value.loc[query_df.index]
expected = pd.Series([1, 6, 2, 8, 7], index=idx, name="value")
tm.assert_series_equal(result, expected)