Skip to content

Add check assert_type to tests for frame.py and add __new__ method for DatetimeIndex #1313

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
Aug 12, 2025
Merged

Add check assert_type to tests for frame.py and add __new__ method for DatetimeIndex #1313

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
f18f651
Add check assert_type to tests for frame.py and add __new__ method fo…
loicdiridollou Aug 10, 2025
4059076
PR Feedback
loicdiridollou Aug 11, 2025
0e8c9ed
PR Feedback
loicdiridollou Aug 11, 2025
fc0b56f
PR Feedback
loicdiridollou Aug 12, 2025
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-stubs/core/indexes/datetimes.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@ from pandas import (
from pandas.core.indexes.accessors import DatetimeIndexProperties
from pandas.core.indexes.datetimelike import DatetimeTimedeltaMixin
from pandas.core.series import (
Series,
TimedeltaSeries,
TimestampSeries,
)
Expand Down Expand Up @@ -56,6 +57,19 @@ class DatetimeIndex(DatetimeTimedeltaMixin[Timestamp], DatetimeIndexProperties):
copy: bool = ...,
name: Hashable = ...,
) -> None: ...
@classmethod
def __new__(
cls,
data: AxesData | Series,
freq: Frequency = ...,
tz: TimeZones = ...,
ambiguous: str = ...,
dayfirst: bool = ...,
yearfirst: bool = ...,
dtype: Dtype = ...,
copy: bool = ...,
name: Hashable = ...,
) -> Self: ...
def __reduce__(self): ...
# various ignores needed for mypy, as we do want to restrict what can be used in
# arithmetic for these types
Expand Down
Loading
Loading