Skip to content

pd.to_datetime() fails for KeyError when raising monotonic increasing index ValueError #42635

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 11 commits into from
Jul 25, 2021
Merged

pd.to_datetime() fails for KeyError when raising monotonic increasing index ValueError #42635

Changes from all commits
Commits
Show all changes
11 commits
Select commit Hold shift + click to select a range
3451902
Update test_to_datetime.py
usersblock Jul 20, 2021
6c3a339
Merge branch 'pandas-dev:master' into master
usersblock Jul 20, 2021
1b52822
Update test_to_datetime.py
usersblock Jul 20, 2021
493b70d
Merge branch 'master' of https://github.com/usersblock/pandas
usersblock Jul 20, 2021
59d4145
Update test_to_datetime.py
usersblock Jul 21, 2021
763d84c
Update test_to_datetime.py
usersblock Jul 22, 2021
1404f7a
Update test_to_datetime.py
usersblock Jul 23, 2021
c649998
Update test_to_datetime.py
usersblock Jul 23, 2021
44645d7
Update test_to_datetime.py
usersblock Jul 24, 2021
e3cb80c
Update test_to_datetime.py
usersblock Jul 24, 2021
970ed06
Update test_to_datetime.py
usersblock Jul 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
12 changes: 12 additions & 0 deletions pandas/tests/tools/test_to_datetime.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2530,3 +2530,15 @@ def test_empty_string_datetime_coerce__unit():
# verify that no exception is raised even when errors='raise' is set
result = to_datetime([1, ""], unit="s", errors="raise")
tm.assert_index_equal(expected, result)


@pytest.mark.parametrize("cache", [True, False])
def test_to_datetime_monotonic_increasing_index(cache):
# GH28238
cstart = start_caching_at
times = date_range(Timestamp("1980"), periods=cstart, freq="YS")
times = times.to_frame(index=False, name="DT").sample(n=cstart, random_state=1)
times.index = times.index.to_series().astype(float) / 1000
result = to_datetime(times.iloc[:, 0], cache=cache)
expected = times.iloc[:, 0]
tm.assert_series_equal(result, expected)