chore(typing): remove unused ignores

narwhals/_arrow/dataframe.py

@@ -127,7 +127,7 @@ def _from_native_frame(
 
     @property
     def shape(self: Self) -> tuple[int, int]:
-        return self._native_frame.shape  # type: ignore[no-any-return]
+        return self._native_frame.shape
 
     def __len__(self: Self) -> int:
         return len(self._native_frame)
@@ -149,7 +149,7 @@ def rows(
     def rows(self: Self, *, named: bool) -> list[tuple[Any, ...]] | list[dict[str, Any]]:
         if not named:
             return list(self.iter_rows(named=False, buffer_size=512))  # type: ignore[return-value]
-        return self._native_frame.to_pylist()  # type: ignore[no-any-return]
+        return self._native_frame.to_pylist()
 
     def iter_rows(
         self: Self, *, named: bool, buffer_size: int
@@ -334,7 +334,7 @@ def estimated_size(self: Self, unit: SizeUnit) -> int | float:
 
     @property
     def columns(self: Self) -> list[str]:
-        return self._native_frame.schema.names  # type: ignore[no-any-return]
+        return self._native_frame.schema.names
 
     def simple_select(self, *column_names: str) -> Self:
         return self._from_native_frame(
@@ -699,8 +699,9 @@ def write_csv(self: Self, file: str | Path | BytesIO | None) -> str | None:
         if file is None:
             csv_buffer = pa.BufferOutputStream()
             pa_csv.write_csv(pa_table, csv_buffer)
-            return csv_buffer.getvalue().to_pybytes().decode()  # type: ignore[no-any-return]
-        return pa_csv.write_csv(pa_table, file)  # type: ignore[no-any-return]
+            return csv_buffer.getvalue().to_pybytes().decode()
+        pa_csv.write_csv(pa_table, file)
+        return None
 
     def is_unique(self: Self) -> ArrowSeries:
         from narwhals._arrow.series import ArrowSeries

narwhals/_arrow/series.py

@@ -357,7 +357,7 @@ def scatter(self: Self, indices: int | Sequence[int], values: Any) -> Self:
         return self._from_native_series(result)
 
     def to_list(self: Self) -> list[Any]:
-        return self._native_series.to_pylist()  # type: ignore[no-any-return]
+        return self._native_series.to_pylist()
 
     def __array__(self: Self, dtype: Any = None, copy: bool | None = None) -> _1DArray:
         return self._native_series.__array__(dtype=dtype, copy=copy)

narwhals/_duckdb/dataframe.py

@@ -237,7 +237,7 @@ def schema(self: Self) -> dict[str, DType]:
 
     @property
     def columns(self: Self) -> list[str]:
-        return self._native_frame.columns  # type: ignore[no-any-return]
+        return self._native_frame.columns
 
     def to_pandas(self: Self) -> pd.DataFrame:
         # only if version is v1, keep around for backcompat

narwhals/utils.py

@@ -192,7 +192,7 @@ def to_native_namespace(self: Self) -> ModuleType:
         if self is Implementation.PYARROW:
             import pyarrow as pa  # ignore-banned-import
 
-            return pa  # type: ignore[no-any-return]
+            return pa
         if self is Implementation.PYSPARK:  # pragma: no cover
             import pyspark.sql
 
@@ -204,12 +204,12 @@ def to_native_namespace(self: Self) -> ModuleType:
         if self is Implementation.DASK:
             import dask.dataframe  # ignore-banned-import
 
-            return dask.dataframe  # type: ignore[no-any-return]
+            return dask.dataframe
 
         if self is Implementation.DUCKDB:
             import duckdb  # ignore-banned-import
 
-            return duckdb  # type: ignore[no-any-return]
+            return duckdb
         msg = "Not supported Implementation"  # pragma: no cover
         raise AssertionError(msg)