pyupgrade

pandas/_config/config.py

@@ -411,7 +411,7 @@ def __dir__(self) -> list[str]:
 
 
 @contextmanager
-def option_context(*args) -> Generator[None, None, None]:
+def option_context(*args) -> Generator[None]:
     """
     Context manager to temporarily set options in a ``with`` statement.
 
@@ -718,7 +718,7 @@ def _build_option_description(k: str) -> str:
 
 
 @contextmanager
-def config_prefix(prefix: str) -> Generator[None, None, None]:
+def config_prefix(prefix: str) -> Generator[None]:
     """
     contextmanager for multiple invocations of API with a common prefix
 

pandas/_config/localization.py

@@ -25,7 +25,7 @@
 @contextmanager
 def set_locale(
     new_locale: str | tuple[str, str], lc_var: int = locale.LC_ALL
-) -> Generator[str | tuple[str, str], None, None]:
+) -> Generator[str | tuple[str, str]]:
     """
     Context manager for temporarily setting a locale.
 

pandas/_testing/_warnings.py

@@ -35,7 +35,7 @@ def assert_produces_warning(
     raise_on_extra_warnings: bool = True,
     match: str | tuple[str | None, ...] | None = None,
     must_find_all_warnings: bool = True,
-) -> Generator[list[warnings.WarningMessage], None, None]:
+) -> Generator[list[warnings.WarningMessage]]:
     """
     Context manager for running code expected to either raise a specific warning,
     multiple specific warnings, or not raise any warnings. Verifies that the code

pandas/_testing/contexts.py

@@ -29,7 +29,7 @@
 @contextmanager
 def decompress_file(
     path: FilePath | BaseBuffer, compression: CompressionOptions
-) -> Generator[IO[bytes], None, None]:
+) -> Generator[IO[bytes]]:
     """
     Open a compressed file and return a file object.
 
@@ -50,7 +50,7 @@ def decompress_file(
 
 
 @contextmanager
-def set_timezone(tz: str) -> Generator[None, None, None]:
+def set_timezone(tz: str) -> Generator[None]:
     """
     Context manager for temporarily setting a timezone.
 
@@ -92,7 +92,7 @@ def setTZ(tz) -> None:
 
 
 @contextmanager
-def ensure_clean(filename=None) -> Generator[Any, None, None]:
+def ensure_clean(filename=None) -> Generator[Any]:
     """
     Gets a temporary path and agrees to remove on close.
 
@@ -124,7 +124,7 @@ def ensure_clean(filename=None) -> Generator[Any, None, None]:
 
 
 @contextmanager
-def with_csv_dialect(name: str, **kwargs) -> Generator[None, None, None]:
+def with_csv_dialect(name: str, **kwargs) -> Generator[None]:
     """
     Context manager to temporarily register a CSV dialect for parsing CSV.
 

pandas/compat/pickle_compat.py

@@ -131,7 +131,7 @@ def loads(
 
 
 @contextlib.contextmanager
-def patch_pickle() -> Generator[None, None, None]:
+def patch_pickle() -> Generator[None]:
     """
     Temporarily patch pickle to use our unpickler.
     """

pandas/core/apply.py

@@ -803,7 +803,7 @@ def result_columns(self) -> Index:
 
     @property
     @abc.abstractmethod
-    def series_generator(self) -> Generator[Series, None, None]:
+    def series_generator(self) -> Generator[Series]:
         pass
 
     @staticmethod
@@ -1128,7 +1128,7 @@ class FrameRowApply(FrameApply):
     axis: AxisInt = 0
 
     @property
-    def series_generator(self) -> Generator[Series, None, None]:
+    def series_generator(self) -> Generator[Series]:
         return (self.obj._ixs(i, axis=1) for i in range(len(self.columns)))
 
     @staticmethod
@@ -1235,7 +1235,7 @@ def apply_broadcast(self, target: DataFrame) -> DataFrame:
         return result.T
 
     @property
-    def series_generator(self) -> Generator[Series, None, None]:
+    def series_generator(self) -> Generator[Series]:
         values = self.values
         values = ensure_wrapped_if_datetimelike(values)
         assert len(values) > 0

pandas/core/arrays/datetimes.py

@@ -2918,7 +2918,7 @@ def _generate_range(
     offset: BaseOffset,
     *,
     unit: str,
-) -> Generator[Timestamp, None, None]:
+) -> Generator[Timestamp]:
     """
     Generates a sequence of dates corresponding to the specified time
     offset. Similar to dateutil.rrule except uses pandas DateOffset

pandas/core/common.py

@@ -560,9 +560,7 @@ def convert_to_list_like(
 
 
 @contextlib.contextmanager
-def temp_setattr(
-    obj, attr: str, value, condition: bool = True
-) -> Generator[None, None, None]:
+def temp_setattr(obj, attr: str, value, condition: bool = True) -> Generator[None]:
     """
     Temporarily set attribute on an object.
 

pandas/core/groupby/ops.py

@@ -898,7 +898,7 @@ def _unob_index_and_ids(
         return unob_index, unob_ids
 
     @final
-    def get_group_levels(self) -> Generator[Index, None, None]:
+    def get_group_levels(self) -> Generator[Index]:
         # Note: only called from _insert_inaxis_grouper, which
         #  is only called for BaseGrouper, never for BinGrouper
         result_index = self.result_index

pandas/core/indexes/multi.py

@@ -2664,7 +2664,7 @@ def _reorder_ilevels(self, order) -> MultiIndex:
 
     def _recode_for_new_levels(
         self, new_levels, copy: bool = True
-    ) -> Generator[np.ndarray, None, None]:
+    ) -> Generator[np.ndarray]:
         if len(new_levels) > self.nlevels:
             raise AssertionError(
                 f"Length of new_levels ({len(new_levels)}) "

pandas/core/internals/blocks.py

@@ -388,7 +388,7 @@ def _split_op_result(self, result: ArrayLike) -> list[Block]:
         return [nb]
 
     @final
-    def _split(self) -> Generator[Block, None, None]:
+    def _split(self) -> Generator[Block]:
         """
         Split a block into a list of single-column blocks.
         """

pandas/core/internals/concat.py

@@ -250,7 +250,7 @@ def _concat_homogeneous_fastpath(
 
 def _get_combined_plan(
     mgrs: list[BlockManager],
-) -> Generator[tuple[BlockPlacement, list[JoinUnit]], None, None]:
+) -> Generator[tuple[BlockPlacement, list[JoinUnit]]]:
     max_len = mgrs[0].shape[0]
 
     blknos_list = [mgr.blknos for mgr in mgrs]

pandas/core/internals/managers.py

@@ -856,7 +856,7 @@ def _slice_take_blocks_ax0(
         *,
         use_na_proxy: bool = False,
         ref_inplace_op: bool = False,
-    ) -> Generator[Block, None, None]:
+    ) -> Generator[Block]:
         """
         Slice/take blocks along axis=0.
 
@@ -1731,7 +1731,7 @@ def unstack(self, unstacker, fill_value) -> BlockManager:
         bm = BlockManager(new_blocks, [new_columns, new_index], verify_integrity=False)
         return bm
 
-    def to_iter_dict(self) -> Generator[tuple[str, Self], None, None]:
+    def to_iter_dict(self) -> Generator[tuple[str, Self]]:
         """
         Yield a tuple of (str(dtype), BlockManager)
 

pandas/core/methods/to_dict.py

@@ -33,7 +33,7 @@
 
 def create_data_for_split(
     df: DataFrame, are_all_object_dtype_cols: bool, object_dtype_indices: list[int]
-) -> Generator[list, None, None]:
+) -> Generator[list]:
     """
     Simple helper method to create data for to ``to_dict(orient="split")``
     to create the main output data

pandas/io/formats/css.py

@@ -34,9 +34,7 @@ def _side_expander(prop_fmt: str) -> Callable:
         function: Return to call when a 'border(-{side}): {value}' string is encountered
     """
 
-    def expand(
-        self: CSSResolver, prop: str, value: str
-    ) -> Generator[tuple[str, str], None, None]:
+    def expand(self: CSSResolver, prop: str, value: str) -> Generator[tuple[str, str]]:
         """
         Expand shorthand property into side-specific property (top, right, bottom, left)
 
@@ -81,9 +79,7 @@ def _border_expander(side: str = "") -> Callable:
     if side != "":
         side = f"-{side}"
 
-    def expand(
-        self: CSSResolver, prop: str, value: str
-    ) -> Generator[tuple[str, str], None, None]:
+    def expand(self: CSSResolver, prop: str, value: str) -> Generator[tuple[str, str]]:
         """
         Expand border into color, style, and width tuples
 
@@ -392,7 +388,7 @@ def _error() -> str:
             size_fmt = f"{val:f}pt"
         return size_fmt
 
-    def atomize(self, declarations: Iterable) -> Generator[tuple[str, str], None, None]:
+    def atomize(self, declarations: Iterable) -> Generator[tuple[str, str]]:
         for prop, value in declarations:
             prop = prop.lower()
             value = value.lower()

pandas/io/formats/format.py

@@ -1024,7 +1024,7 @@ def save_to_buffer(
 @contextmanager
 def _get_buffer(
     buf: FilePath | WriteBuffer[str] | None, encoding: str | None = None
-) -> Generator[WriteBuffer[str], None, None] | Generator[StringIO, None, None]:
+) -> Generator[WriteBuffer[str]] | Generator[StringIO]:
     """
     Context manager to open, yield and close buffer for filenames or Path-like
     objects, otherwise yield buf unchanged.

pandas/io/sql.py

@@ -1119,7 +1119,7 @@ def _query_iterator(
         coerce_float: bool = True,
         parse_dates=None,
         dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[DataFrame]:
         """Return generator through chunked result set."""
         has_read_data = False
         with exit_stack:
@@ -1732,7 +1732,7 @@ def _query_iterator(
         parse_dates=None,
         dtype: DtypeArg | None = None,
         dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[DataFrame]:
         """Return generator through chunked result set"""
         has_read_data = False
         with exit_stack:
@@ -2682,7 +2682,7 @@ def _query_iterator(
         parse_dates=None,
         dtype: DtypeArg | None = None,
         dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[DataFrame]:
         """Return generator through chunked result set"""
         has_read_data = False
         while True:

pandas/plotting/_matplotlib/converter.py

@@ -92,7 +92,7 @@ def wrapper(*args, **kwargs):
 
 
 @contextlib.contextmanager
-def pandas_converters() -> Generator[None, None, None]:
+def pandas_converters() -> Generator[None]:
     """
     Context manager registering pandas' converters for a plot.
 

pandas/plotting/_matplotlib/tools.py

@@ -442,7 +442,7 @@ def handle_shared_axes(
                     _remove_labels_from_axis(ax.yaxis)
 
 
-def flatten_axes(axes: Axes | Iterable[Axes]) -> Generator[Axes, None, None]:
+def flatten_axes(axes: Axes | Iterable[Axes]) -> Generator[Axes]:
     if not is_list_like(axes):
         yield axes  # type: ignore[misc]
     elif isinstance(axes, (np.ndarray, ABCIndex)):

pandas/plotting/_misc.py

@@ -704,7 +704,7 @@ def _get_canonical_key(self, key: str) -> str:
         return self._ALIASES.get(key, key)
 
     @contextmanager
-    def use(self, key, value) -> Generator[_Options, None, None]:
+    def use(self, key, value) -> Generator[_Options]:
         """
         Temporarily set a parameter value using the with statement.
         Aliasing allowed.

pandas/util/_exceptions.py

@@ -13,7 +13,7 @@
 
 
 @contextlib.contextmanager
-def rewrite_exception(old_name: str, new_name: str) -> Generator[None, None, None]:
+def rewrite_exception(old_name: str, new_name: str) -> Generator[None]:
     """
     Rewrite the message of an exception.
     """
@@ -66,7 +66,7 @@ def rewrite_warning(
     target_category: type[Warning],
     new_message: str,
     new_category: type[Warning] | None = None,
-) -> Generator[None, None, None]:
+) -> Generator[None]:
     """
     Rewrite the message of a warning.