Skip to content
Draft
Show file tree
Hide file tree
Changes from all commits
Commits
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
4 changes: 2 additions & 2 deletions pandas-stubs/core/indexes/base.pyi
Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ from pandas._typing import (
T_COMPLEX,
T_INT,
AnyAll,
ArrayLike,
AnyArrayLike,
AxesData,
CategoryDtypeArg,
DropKeep,
Expand Down Expand Up @@ -434,7 +434,7 @@ class Index(IndexOpsMixin[S1]):
@property
def values(self) -> np_1darray: ...
def memory_usage(self, deep: bool = False): ...
def where(self, cond, other: Scalar | ArrayLike | None = None): ...
def where(self, cond, other: Scalar | AnyArrayLike | None = None) -> Self: ...
def __contains__(self, key) -> bool: ...
@final
def __setitem__(self, key, value) -> None: ...
Expand Down
25 changes: 25 additions & 0 deletions tests/indexes/test_indexes.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,7 @@
from pandas.core.arrays.timedeltas import TimedeltaArray
from pandas.core.indexes.base import Index
from pandas.core.indexes.category import CategoricalIndex
from pandas.core.indexes.datetimes import DatetimeIndex
from typing_extensions import (
Never,
assert_type,
Expand Down Expand Up @@ -1608,3 +1609,27 @@ def test_to_series() -> None:
np.complexfloating,
)
check(assert_type(Index(["1"]).to_series(), "pd.Series[str]"), pd.Series, str)


def test_index_where() -> None:
"""Test Index.where with multiple types of other GH1419."""
idx = pd.Index(range(48))
mask = np.ones(48, dtype=bool)
val_idx = idx.where(mask, idx)
check(assert_type(val_idx, "pd.Index[int]"), pd.Index, int)

val_sr = idx.where(mask, (idx).to_series())
check(assert_type(val_sr, "pd.Index[int]"), pd.Index, int)


def test_datetimeindex_where() -> None:
"""Test DatetimeIndex.where with multiple types of other GH1419."""
datetime_index = pd.date_range(start="2025-01-01", freq="h", periods=48)
mask = np.ones(48, dtype=bool)
val_idx = datetime_index.where(mask, datetime_index - pd.Timedelta(days=1))
check(assert_type(val_idx, DatetimeIndex), DatetimeIndex)

val_sr = datetime_index.where(
mask, (datetime_index - pd.Timedelta(days=1)).to_series()
)
check(assert_type(val_sr, DatetimeIndex), DatetimeIndex)