Drop ANN ignores from certain files in arrays

pandas-stubs/core/arrays/integer.pyi

@@ -1,6 +1,10 @@
 from pandas.core.arrays.masked import BaseMaskedArray
 
 from pandas._libs.missing import NAType
+from pandas._typing import (
+    AnyArrayLike,
+    np_ndarray_bool,
+)
 
 from pandas.core.dtypes.base import ExtensionDtype as ExtensionDtype
 
@@ -16,8 +20,12 @@ class _IntegerDtype(ExtensionDtype):
 class IntegerArray(BaseMaskedArray):
     @property
     def dtype(self) -> _IntegerDtype: ...
-    def __init__(self, values, mask, copy: bool = ...) -> None: ...
-    def __setitem__(self, key, value) -> None: ...
+    def __init__(
+        self,
+        values: AnyArrayLike,
+        mask: np_ndarray_bool,
+        copy: bool = False,
+    ) -> None: ...
 
 class Int8Dtype(_IntegerDtype): ...
 class Int16Dtype(_IntegerDtype): ...

pandas-stubs/core/arrays/masked.pyi

@@ -1,17 +1,21 @@
+from collections.abc import Iterator
 from typing import (
     Any,
     overload,
 )
 
 from pandas.core.arrays import ExtensionArray as ExtensionArray
+from pandas.core.series import Series
 from typing_extensions import Self
 
 from pandas._typing import (
+    DtypeArg,
     NpDtype,
     Scalar,
     ScalarIndexer,
     SequenceIndexer,
     np_1darray,
+    np_1darray_bool,
     npt,
 )
 
@@ -20,8 +24,8 @@ class BaseMaskedArray(ExtensionArray):
     def __getitem__(self, item: ScalarIndexer) -> Any: ...
     @overload
     def __getitem__(self, item: SequenceIndexer) -> Self: ...
-    def __iter__(self): ...
-    def __invert__(self): ...
+    def __iter__(self) -> Iterator[Any]: ...
+    def __invert__(self) -> Self: ...
     def to_numpy(
         self,
         dtype: npt.DTypeLike | None = ...,
@@ -32,9 +36,9 @@ class BaseMaskedArray(ExtensionArray):
     def __array__(
         self, dtype: NpDtype | None = None, copy: bool | None = None
     ) -> np_1darray: ...
-    def __arrow_array__(self, type=...): ...
-    def isna(self): ...
+    def __arrow_array__(self, type: DtypeArg | None = None) -> Any: ...
+    def copy(self) -> Self: ...
+    def value_counts(self, dropna: bool = True) -> Series[int]: ...
+    def isna(self) -> np_1darray_bool: ...
     @property
     def nbytes(self) -> int: ...
-    def copy(self): ...
-    def value_counts(self, dropna: bool = True): ...

pandas-stubs/core/arrays/string_.pyi

@@ -1,8 +1,16 @@
-from typing import Literal
+from typing import (
+    Any,
+    Literal,
+)
 
 from pandas.core.arrays import PandasArray
+from pandas.core.series import Series
 
 from pandas._libs.missing import NAType
+from pandas._typing import (
+    AnyArrayLike,
+    DtypeArg,
+)
 
 from pandas.core.dtypes.base import ExtensionDtype
 
@@ -12,7 +20,7 @@ class StringDtype(ExtensionDtype):
     def na_value(self) -> NAType: ...
 
 class StringArray(PandasArray):
-    def __init__(self, values, copy: bool = ...) -> None: ...
-    def __arrow_array__(self, type=...): ...
-    def __setitem__(self, key, value) -> None: ...
-    def value_counts(self, dropna: bool = True): ...
+    def __init__(self, values: AnyArrayLike, copy: bool = False) -> None: ...
+    def __arrow_array__(self, type: DtypeArg | None = None) -> Any: ...
+    def __setitem__(self, key: Any, value: Any) -> None: ...
+    def value_counts(self, dropna: bool = True) -> Series[int]: ...

pandas-stubs/io/excel/_base.pyi

@@ -304,7 +304,7 @@ class ExcelFile:
         storage_options: StorageOptions = ...,
         engine_kwargs: dict[str, Any] | None = ...,
     ) -> None: ...
-    def __fspath__(self): ...
+    def __fspath__(self) -> str: ...
     @overload
     def parse(
         self,

pyproject.toml

@@ -209,14 +209,39 @@ ignore = [
   # TODO: remove when window is fully typed
   "ANN001", "ANN201", "ANN204", "ANN206",
 ]
-"*array*" = [
+"*arrays/sparse/*" = [
   # TODO: remove when array is fully typed
   "ANN001", "ANN201", "ANN204", "ANN206",
 ]
-"*excel/_base.pyi" = [
-  # TODO: remove when excel/_base.pyi is fully typed
+"*arrays/boolean.pyi" = [
+  # TODO: remove when boolean array is fully typed
   "ANN001", "ANN201", "ANN204", "ANN206",
 ]
+"*arrays/categorical.pyi" = [
+  # TODO: remove when categorical array is fully typed
+  "ANN001", "ANN201", "ANN204", "ANN206",
+]
+"*arrays/datetimelike.pyi" = [
+  # TODO: remove when array is fully typed
+  "ANN001", "ANN201", "ANN204", "ANN206",
+]
+"*arrays/datetimes.pyi" = [
+  # TODO: remove when datetime array is fully typed
+  "ANN001", "ANN201", "ANN204", "ANN206",
+]
+"*arrays/interval.pyi" = [
+  # TODO: remove when interval array is fully typed
+  "ANN001", "ANN201", "ANN204", "ANN206",
+]
+"*arrays/period.pyi" = [
+  # TODO: remove when period array is fully typed
+  "ANN001", "ANN201", "ANN204", "ANN206",
+]
+"*arrays/timedeltas.pyi" = [
+  # TODO: remove when timedelta array is fully typed
+  "ANN001", "ANN201", "ANN204", "ANN206",
+]
+
 "scripts/*" = [
   # The following rules are ignored permanently for good reasons
   "EM",      # https://docs.astral.sh/ruff/rules/#flake8-errmsg-em

tests/test_io.py

@@ -3,6 +3,7 @@
 import csv
 from functools import partial
 import io
+import os
 import pathlib
 from pathlib import Path
 import sqlite3
@@ -1156,6 +1157,18 @@ def test_excel_reader() -> None:
             check(assert_type(pd.read_excel(ef), pd.DataFrame), pd.DataFrame)
 
 
+def test_excel_fspath() -> None:
+    """Test ExcelFile.__fspath__ type."""
+    with ensure_clean(".xlsx") as path:
+        check(assert_type(DF.to_excel(path), None), type(None))
+        with pd.ExcelFile(
+            path_or_buffer=path,
+            engine="openpyxl",
+            engine_kwargs={"data_only": True},
+        ) as ef:
+            check(assert_type(os.fspath(ef), str), str)
+
+
 def test_excel_writer() -> None:
     with ensure_clean(".xlsx") as path:
         with pd.ExcelWriter(path) as ew: