diff --git a/pandas/core/arrays/masked.py b/pandas/core/arrays/masked.py index 62e6119204bd5..e7a6b207363c3 100644 --- a/pandas/core/arrays/masked.py +++ b/pandas/core/arrays/masked.py @@ -515,7 +515,7 @@ def tolist(self) -> list: if self.ndim > 1: return [x.tolist() for x in self] dtype = None if self._hasna else self._data.dtype - return self.to_numpy(dtype=dtype, na_value=libmissing.NA).tolist() # type: ignore[return-value] + return self.to_numpy(dtype=dtype, na_value=libmissing.NA).tolist() @overload def astype(self, dtype: npt.DTypeLike, copy: bool = ...) -> np.ndarray: ... diff --git a/pandas/core/base.py b/pandas/core/base.py index 8304af48c39ac..6cc28d4e46634 100644 --- a/pandas/core/base.py +++ b/pandas/core/base.py @@ -875,7 +875,7 @@ def tolist(self) -> list: >>> idx.to_list() [1, 2, 3] """ - return self._values.tolist() # type: ignore[return-value] + return self._values.tolist() to_list = tolist diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py index a1c1163435611..b520ad69aae96 100644 --- a/pandas/core/groupby/generic.py +++ b/pandas/core/groupby/generic.py @@ -2142,7 +2142,7 @@ def _wrap_applied_output_series( if stacked_values.dtype == object: # We'll have the DataFrame constructor do inference - stacked_values = stacked_values.tolist() # type: ignore[assignment] + stacked_values = stacked_values.tolist() result = self.obj._constructor(stacked_values, index=index, columns=columns) if not self.as_index: diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py index 189dfc1dde6aa..f1be0b41ad7f7 100644 --- a/pandas/io/formats/format.py +++ b/pandas/io/formats/format.py @@ -1495,7 +1495,7 @@ def _format_strings(self) -> list[str]: fmt_values = values._format_native_types( na_rep=self.nat_rep, date_format=self.date_format ) - return fmt_values.tolist() # type: ignore[return-value] + return fmt_values.tolist() class _ExtensionArrayFormatter(_GenericArrayFormatter): diff --git a/pandas/plotting/_matplotlib/style.py b/pandas/plotting/_matplotlib/style.py index 6e343b176b5eb..962f9711d9916 100644 --- a/pandas/plotting/_matplotlib/style.py +++ b/pandas/plotting/_matplotlib/style.py @@ -273,7 +273,7 @@ def _random_color(column: int) -> list[float]: """Get a random color represented as a list of length 3""" # GH17525 use common._random_state to avoid resetting the seed rs = com.random_state(column) - return rs.rand(3).tolist() # type: ignore[return-value] + return rs.rand(3).tolist() def _is_single_string_color(color: Color) -> bool: