Skip to content

TST: multi indexing when one column exclusively contains NaT(#38025) #43735

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 4 commits into from
Sep 29, 2021
Merged

TST: multi indexing when one column exclusively contains NaT(#38025) #43735

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
cefaa07
TST: added test for multi indexing when one column exclusively contai…
AliSayyah Sep 24, 2021
4646b64
TST: fixed the test's problem
AliSayyah Sep 24, 2021
83d46f1
TST: Code review
AliSayyah Sep 25, 2021
55c81d2
TST: Code review
AliSayyah Sep 25, 2021
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
24 changes: 22 additions & 2 deletions pandas/tests/indexing/multiindex/test_multiindex.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,6 @@

class TestMultiIndexBasic:
def test_multiindex_perf_warn(self):

df = DataFrame(
{
"jim": [0, 0, 1, 1],
Expand Down Expand Up @@ -47,7 +46,6 @@ def test_indexing_over_hashtable_size_cutoff(self):
_index._SIZE_CUTOFF = old_cutoff

def test_multi_nan_indexing(self):

# GH 3588
df = DataFrame(
{
Expand All @@ -70,6 +68,28 @@ def test_multi_nan_indexing(self):
)
tm.assert_frame_equal(result, expected)

def test_exclusive_nat_column_indexing(self):
# GH 38025
# test multi indexing when one column exclusively contains NaT values
df = DataFrame(
{
"a": [pd.NaT, pd.NaT, pd.NaT, pd.NaT],
"b": ["C1", "C2", "C3", "C4"],
"c": [10, 15, np.nan, 20],
}
)
df = df.set_index(["a", "b"])
expected = DataFrame(
{
"c": [10, 15, np.nan, 20],
},
index=[
Index([pd.NaT, pd.NaT, pd.NaT, pd.NaT], name="a"),
Index(["C1", "C2", "C3", "C4"], name="b"),
],
)
tm.assert_frame_equal(df, expected)

def test_nested_tuples_duplicates(self):
# GH#30892

Expand Down