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GH1217 Modify items/iterros/itertuples methods to return Iterator #1225

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Merged
merged 5 commits into from
May 21, 2025
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GH1217 Modify items/iterros/itertuples methods to return Iterator #1225

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GH1217 Modify items/iterros/itertuples methods to return Iterator
loicdiridollou May 19, 2025
6d15f0c
GH1217 PR feedback
loicdiridollou May 20, 2025
5a7fe40
GH1217 PR feedback
loicdiridollou May 20, 2025
1f91170
GH1217 PR feedback
loicdiridollou May 21, 2025
d0a5bf2
GH1217 PR feedback
loicdiridollou May 21, 2025
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8 changes: 4 additions & 4 deletions pandas-stubs/core/frame.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -328,16 +328,16 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
def shape(self) -> tuple[int, int]: ...
@property
def style(self) -> Styler: ...
def items(self) -> Iterable[tuple[Hashable, Series]]: ...
def iterrows(self) -> Iterable[tuple[Hashable, Series]]: ...
def items(self) -> Iterator[tuple[Hashable, Series]]: ...
def iterrows(self) -> Iterator[tuple[Hashable, Series]]: ...
@overload
def itertuples(
self, index: _bool = ..., name: _str = ...
) -> Iterable[_PandasNamedTuple]: ...
) -> Iterator[_PandasNamedTuple]: ...
@overload
def itertuples(
self, index: _bool = ..., name: None = None
) -> Iterable[tuple[Any, ...]]: ...
) -> Iterator[tuple[Any, ...]]: ...
def __len__(self) -> int: ...
@overload
def dot(self, other: DataFrame | ArrayLike) -> Self: ...
Expand Down
2 changes: 1 addition & 1 deletion pandas-stubs/core/series.pyi
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Expand Up @@ -615,7 +615,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
mode: Literal["w"] = ...,
) -> _str: ...
def to_xarray(self) -> xr.DataArray: ...
def items(self) -> Iterable[tuple[Hashable, S1]]: ...
def items(self) -> Iterator[tuple[Hashable, S1]]: ...
def keys(self) -> Index: ...
@overload
def to_dict(self, *, into: type[dict] = ...) -> dict[Any, S1]: ...
Expand Down
23 changes: 16 additions & 7 deletions tests/test_frame.py
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Expand Up @@ -599,7 +599,7 @@ def test_types_median() -> None:
def test_types_iterrows() -> None:
df = pd.DataFrame(data={"col1": [2, 1], "col2": [3, 4]})
check(
assert_type(df.iterrows(), "Iterable[tuple[Hashable, pd.Series]]"),
assert_type(df.iterrows(), "Iterator[tuple[Hashable, pd.Series]]"),
Iterable,
tuple,
)
Comment on lines 601 to 605
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Can we add a test of this form for iterrows() and itertuples():

for t1, t2 in df.iterrows():
    check(assert_type(t1, Hashable), Hashable)
    check(assert_type(t2, pd.Series), pd.Series)

Expand All @@ -608,24 +608,33 @@ def test_types_iterrows() -> None:
def test_types_itertuples() -> None:
df = pd.DataFrame(data={"col1": [2, 1], "col2": [3, 4]})
check(
assert_type(df.itertuples(), Iterable[_PandasNamedTuple]),
Iterable,
assert_type(df.itertuples(), Iterator[_PandasNamedTuple]),
Iterator,
_PandasNamedTuple,
)
check(
assert_type(
df.itertuples(index=False, name="Foobar"), Iterable[_PandasNamedTuple]
df.itertuples(index=False, name="Foobar"), Iterator[_PandasNamedTuple]
),
Iterable,
Iterator,
_PandasNamedTuple,
)
check(
assert_type(df.itertuples(index=False, name=None), Iterable[tuple[Any, ...]]),
Iterable,
assert_type(df.itertuples(index=False, name=None), Iterator[tuple[Any, ...]]),
Iterator,
object,
)


def test_frame_iterator() -> None:
"""Test iterator methods for a dataframe GH1217."""
df = pd.DataFrame(data={"col1": [2, 1], "col2": [3, 4]})

check(assert_type(next(df.items()), tuple[Hashable, "pd.Series"]), tuple)
check(assert_type(next(df.iterrows()), tuple[Hashable, "pd.Series"]), tuple)
check(assert_type(next(df.itertuples()), _PandasNamedTuple), _PandasNamedTuple)


def test_types_sum() -> None:
df = pd.DataFrame(data={"col1": [2, 1], "col2": [3, 4]})
df.sum()
Expand Down
7 changes: 7 additions & 0 deletions tests/test_series.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
from __future__ import annotations

from collections.abc import (
Hashable,
Iterable,
Iterator,
Sequence,
Expand Down Expand Up @@ -3797,3 +3798,9 @@ def foo(sf: pd.Series) -> None:

foo(s)
check(assert_type(s + pd.Series([1]), pd.Series), pd.Series)


def test_series_items() -> None:
s = pd.Series(data=[1, 2, 3, 4], index=["cow", "coal", "coalesce", ""])
check(assert_type(next(s.items()), tuple[Hashable, int]), tuple)
check(assert_type(s.items(), Iterator[tuple[Hashable, int]]), Iterator)