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12 changes: 6 additions & 6 deletions pandas-stubs/io/excel/_base.pyi
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ def read_excel(
usecols: str | UsecolsArgType = ...,
dtype: str | Dtype | Mapping[str, str | Dtype] | None = ...,
engine: ExcelReadEngine | None = ...,
converters: Mapping[int | str, Callable[[object], object]] | None = ...,
converters: Mapping[int | str, Callable[[Any], Any]] | None = ...,
true_values: Iterable[Hashable] | None = ...,
false_values: Iterable[Hashable] | None = ...,
skiprows: int | Sequence[int] | Callable[[object], bool] | None = ...,
Expand Down Expand Up @@ -97,7 +97,7 @@ def read_excel(
usecols: str | UsecolsArgType = ...,
dtype: str | Dtype | Mapping[str, str | Dtype] | None = ...,
engine: ExcelReadEngine | None = ...,
converters: Mapping[int | str, Callable[[object], object]] | None = ...,
converters: Mapping[int | str, Callable[[Any], Any]] | None = ...,
true_values: Iterable[Hashable] | None = ...,
false_values: Iterable[Hashable] | None = ...,
skiprows: int | Sequence[int] | Callable[[object], bool] | None = ...,
Expand Down Expand Up @@ -141,7 +141,7 @@ def read_excel( # type: ignore[overload-cannot-match]
usecols: str | UsecolsArgType = ...,
dtype: str | Dtype | Mapping[str, str | Dtype] | None = ...,
engine: ExcelReadEngine | None = ...,
converters: Mapping[int | str, Callable[[object], object]] | None = ...,
converters: Mapping[int | str, Callable[[Any], Any]] | None = ...,
true_values: Iterable[Hashable] | None = ...,
false_values: Iterable[Hashable] | None = ...,
skiprows: int | Sequence[int] | Callable[[object], bool] | None = ...,
Expand Down Expand Up @@ -184,7 +184,7 @@ def read_excel(
usecols: str | UsecolsArgType = ...,
dtype: str | Dtype | Mapping[str, str | Dtype] | None = ...,
engine: ExcelReadEngine | None = ...,
converters: Mapping[int | str, Callable[[object], object]] | None = ...,
converters: Mapping[int | str, Callable[[Any], Any]] | None = ...,
true_values: Iterable[Hashable] | None = ...,
false_values: Iterable[Hashable] | None = ...,
skiprows: int | Sequence[int] | Callable[[object], bool] | None = ...,
Expand Down Expand Up @@ -264,7 +264,7 @@ class ExcelFile:
names: ListLikeHashable | None = ...,
index_col: int | Sequence[int] | None = ...,
usecols: str | UsecolsArgType = ...,
converters: dict[int | str, Callable[[object], object]] | None = ...,
converters: dict[int | str, Callable[[Any], Any]] | None = ...,
true_values: Iterable[Hashable] | None = ...,
false_values: Iterable[Hashable] | None = ...,
skiprows: int | Sequence[int] | Callable[[object], bool] | None = ...,
Expand Down Expand Up @@ -292,7 +292,7 @@ class ExcelFile:
names: ListLikeHashable | None = ...,
index_col: int | Sequence[int] | None = ...,
usecols: str | UsecolsArgType = ...,
converters: dict[int | str, Callable[[object], object]] | None = ...,
converters: dict[int | str, Callable[[Any], Any]] | None = ...,
true_values: Iterable[Hashable] | None = ...,
false_values: Iterable[Hashable] | None = ...,
skiprows: int | Sequence[int] | Callable[[object], bool] | None = ...,
Expand Down
10 changes: 10 additions & 0 deletions tests/test_io.py
Original file line number Diff line number Diff line change
Expand Up @@ -1792,3 +1792,13 @@ def test_read_json_engine() -> None:
pd.read_json(dd, lines=False, engine="pyarrow") # type: ignore[call-overload] # pyright: ignore[reportArgumentType, reportCallIssue]
pd.read_json(io.StringIO(data), engine="pyarrow") # type: ignore[call-overload] # pyright: ignore[reportArgumentType]
pd.read_json(io.StringIO(data), lines=True, engine="pyarrow") # type: ignore[call-overload] # pyright: ignore[reportArgumentType, reportCallIssue]


def test_converters_partial() -> None:
from functools import partial
import pandas as pd
from typing_extensions import assert_type

partial_func = partial(pd.to_datetime, errors="coerce")
df = pd.read_excel("foo.xlsx", converters={"field_1": partial_func})
assert_type(df, pd.DataFrame)
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Use check(assert_type(df, pd.DataFrame), pd.DataFrame)

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Used check(assert_type(df, pd.DataFrame), pd.DataFrame) as suggested.