Refine iterrows and itertuples return types (#822)

refine iterrows and itertuples return types

* Added first test on iterrows.
* Updated iterrows return type to Iterable[tuple[Hashable, Series]].
* Added return type Iterable[tuple[Any, ...]] to itertuples.

pandas-stubs/core/frame.pyi

@@ -247,8 +247,10 @@ class DataFrame(NDFrame, OpsMixin):
     @property
     def style(self) -> Styler: ...
     def items(self) -> Iterable[tuple[Hashable, Series]]: ...
-    def iterrows(self) -> Iterable[tuple[Label, Series]]: ...
-    def itertuples(self, index: _bool = ..., name: _str | None = ...): ...
+    def iterrows(self) -> Iterable[tuple[Hashable, Series]]: ...
+    def itertuples(
+        self, index: _bool = ..., name: _str | None = ...
+    ) -> Iterable[tuple[Any, ...]]: ...
     def __len__(self) -> int: ...
     @overload
     def dot(self, other: DataFrame | ArrayLike) -> DataFrame: ...

tests/test_frame.py

@@ -33,6 +33,7 @@
     getSeriesData,
 )
 from pandas.core.resample import Resampler  # noqa: F401
+from pandas.core.series import Series
 import pytest
 from typing_extensions import assert_type
 import xarray as xr
@@ -403,6 +404,11 @@ def test_types_median() -> None:
     s3: pd.Series = df.median(axis=1, skipna=True, numeric_only=False)
 
 
+def test_types_iterrows() -> None:
+    df = pd.DataFrame(data={"col1": [2, 1], "col2": [3, 4]})
+    res1: Iterable[tuple[Hashable, Series]] = df.iterrows()
+
+
 def test_types_itertuples() -> None:
     df = pd.DataFrame(data={"col1": [2, 1], "col2": [3, 4]})
     res1: Iterable[tuple[Any, ...]] = df.itertuples()