Skip to content

Align AnyArrayLike with pandas._typing definition #1123

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
Feb 18, 2025
Merged

Align AnyArrayLike with pandas._typing definition #1123

Show file tree
Hide file tree
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
2 changes: 1 addition & 1 deletion pandas-stubs/_typing.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -56,7 +56,7 @@ from pandas.io.formats.format import EngFormatter
Incomplete: TypeAlias = Any

ArrayLike: TypeAlias = ExtensionArray | np.ndarray[Any, Any]
AnyArrayLike: TypeAlias = Index[Any] | Series[Any] | np.ndarray[Any, Any]
AnyArrayLike: TypeAlias = ArrayLike | Index[Any] | Series[Any]
PythonScalar: TypeAlias = str | bool | complex
DatetimeLikeScalar = TypeVar("DatetimeLikeScalar", bound=Period | Timestamp | Timedelta)
PandasScalar: TypeAlias = bytes | datetime.date | datetime.datetime | datetime.timedelta
Expand Down
3 changes: 1 addition & 2 deletions pandas-stubs/core/indexes/datetimes.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,6 @@ from pandas.core.series import (

from pandas._typing import (
AnyArrayLike,
ArrayLike,
DateAndDatetimeLike,
Dtype,
IntervalClosedType,
Expand All @@ -44,7 +43,7 @@ from pandas.tseries.offsets import BaseOffset
class DatetimeIndex(DatetimeTimedeltaMixin[Timestamp], DatetimeIndexProperties):
def __init__(
self,
data: ArrayLike | AnyArrayLike | list | tuple,
data: AnyArrayLike | list | tuple,
freq: Frequency = ...,
tz: TimeZones = ...,
ambiguous: str = ...,
Expand Down