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TYP: Fix return type of Series.keys() fro list to Index (#1101) #1106

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Merged
merged 6 commits into from
Feb 10, 2025
Merged

TYP: Fix return type of Series.keys() fro list to Index (#1101) #1106

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926450b
Update series.pyi, tackling issue #1101
janlodewijk Feb 6, 2025
ed85e9a
Update test_series.py
janlodewijk Feb 7, 2025
35bd06f
Update tests/test_series.py
janlodewijk Feb 7, 2025
0f1ce5e
Fix import issue in series.pyi to resolve Ruff error
janlodewijk Feb 8, 2025
23b3a9e
Merge branch 'patch-1' of https://github.com/janlodewijk/pandas-stubs…
janlodewijk Feb 8, 2025
22f75a8
Delete test
janlodewijk Feb 10, 2025
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4 changes: 2 additions & 2 deletions pandas-stubs/core/series.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ from matplotlib.axes import (
)
import numpy as np
from pandas import (
Index,
Period,
PeriodDtype,
Timedelta,
Expand Down Expand Up @@ -58,7 +59,6 @@ from pandas.core.indexes.accessors import (
TimedeltaProperties,
TimestampProperties,
)
from pandas.core.indexes.base import Index
from pandas.core.indexes.category import CategoricalIndex
from pandas.core.indexes.datetimes import DatetimeIndex
from pandas.core.indexes.interval import IntervalIndex
Expand Down Expand Up @@ -652,7 +652,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
) -> _str: ...
def to_xarray(self) -> xr.DataArray: ...
def items(self) -> Iterable[tuple[Hashable, S1]]: ...
def keys(self) -> list: ...
def keys(self) -> Index: ...
@overload
def to_dict(self, *, into: type[dict] = ...) -> dict[Any, S1]: ...
@overload
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2 changes: 2 additions & 0 deletions test
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@@ -0,0 +1,2 @@
test
ind abc
6 changes: 6 additions & 0 deletions tests/test_series.py
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Expand Up @@ -3541,6 +3541,12 @@ def test_series_dict() -> None:
)


def test_series_keys_type() -> None:
# GH 1101
s = pd.Series([1, 2, 3])
check(assert_type(s.keys(), pd.Index), pd.Index)


def test_series_int_float() -> None:
# pyright infers mixtures of int and float in a list as list[int | float]
check(assert_type(pd.Series([1, 2, 3]), "pd.Series[int]"), pd.Series, np.integer)
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