clean up

Author: MarcoGorelli

narwhals/pandas_like/dataframe.py

@@ -21,7 +21,7 @@
     from narwhals.dtypes import DType
     from narwhals.pandas_like.group_by import PandasGroupBy
     from narwhals.pandas_like.series import PandasSeries
-    from narwhals.pandas_like.typing import IntoExpr
+    from narwhals.pandas_like.typing import IntoPandasExpr
 
 
 class PandasDataFrame:
@@ -92,8 +92,8 @@ def schema(self) -> dict[str, DType]:
     # --- reshape ---
     def select(
         self,
-        *exprs: IntoExpr | Iterable[IntoExpr],
-        **named_exprs: IntoExpr,
+        *exprs: IntoPandasExpr | Iterable[IntoPandasExpr],
+        **named_exprs: IntoPandasExpr,
     ) -> Self:
         new_series = evaluate_into_exprs(self, *exprs, **named_exprs)
         df = horizontal_concat(
@@ -104,7 +104,7 @@ def select(
 
     def filter(
         self,
-        *predicates: IntoExpr | Iterable[IntoExpr],
+        *predicates: IntoPandasExpr | Iterable[IntoPandasExpr],
     ) -> Self:
         from narwhals.pandas_like.namespace import Namespace
 
@@ -117,8 +117,8 @@ def filter(
 
     def with_columns(
         self,
-        *exprs: IntoExpr | Iterable[IntoExpr],
-        **named_exprs: IntoExpr,
+        *exprs: IntoPandasExpr | Iterable[IntoPandasExpr],
+        **named_exprs: IntoPandasExpr,
     ) -> Self:
         new_series = evaluate_into_exprs(self, *exprs, **named_exprs)
         df = self._dataframe.assign(

narwhals/pandas_like/group_by.py

@@ -19,7 +19,7 @@
 if TYPE_CHECKING:
     from narwhals.pandas_like.dataframe import PandasDataFrame
     from narwhals.pandas_like.expr import PandasExpr
-    from narwhals.pandas_like.typing import IntoExpr
+    from narwhals.pandas_like.typing import IntoPandasExpr
 
 
 class PandasGroupBy:
@@ -33,8 +33,8 @@ def __init__(
 
     def agg(
         self,
-        *aggs: IntoExpr | Iterable[IntoExpr],
-        **named_aggs: IntoExpr,
+        *aggs: IntoPandasExpr | Iterable[IntoPandasExpr],
+        **named_aggs: IntoPandasExpr,
     ) -> PandasDataFrame:
         df = self._df._dataframe
         exprs = parse_into_exprs(

narwhals/pandas_like/namespace.py

@@ -16,7 +16,7 @@
 from narwhals.utils import flatten_str
 
 if TYPE_CHECKING:
-    from narwhals.pandas_like.typing import IntoExpr
+    from narwhals.pandas_like.typing import IntoPandasExpr
 
 
 class Namespace:
@@ -153,13 +153,19 @@ def len(self) -> PandasExpr:
         )
 
     # --- horizontal ---
-    def sum_horizontal(self, *exprs: IntoExpr | Iterable[IntoExpr]) -> PandasExpr:
+    def sum_horizontal(
+        self, *exprs: IntoPandasExpr | Iterable[IntoPandasExpr]
+    ) -> PandasExpr:
         return reduce(lambda x, y: x + y, parse_into_exprs(self._implementation, *exprs))
 
-    def all_horizontal(self, *exprs: IntoExpr | Iterable[IntoExpr]) -> PandasExpr:
+    def all_horizontal(
+        self, *exprs: IntoPandasExpr | Iterable[IntoPandasExpr]
+    ) -> PandasExpr:
         return reduce(lambda x, y: x & y, parse_into_exprs(self._implementation, *exprs))
 
-    def any_horizontal(self, *exprs: IntoExpr | Iterable[IntoExpr]) -> PandasExpr:
+    def any_horizontal(
+        self, *exprs: IntoPandasExpr | Iterable[IntoPandasExpr]
+    ) -> PandasExpr:
         return reduce(lambda x, y: x | y, parse_into_exprs(self._implementation, *exprs))
 
     def concat(

narwhals/pandas_like/typing.py

@@ -7,4 +7,4 @@
     from narwhals.pandas_like.expr import PandasExpr
     from narwhals.pandas_like.series import PandasSeries
 
-    IntoExpr: TypeAlias = PandasExpr | str | int | float | PandasSeries
+    IntoPandasExpr: TypeAlias = PandasExpr | str | int | float | PandasSeries

narwhals/pandas_like/utils.py

@@ -19,7 +19,7 @@
 
     ExprT = TypeVar("ExprT", bound=PandasExpr)
 
-    from narwhals.pandas_like.typing import IntoExpr
+    from narwhals.pandas_like.typing import IntoPandasExpr
 
 
 def validate_column_comparand(other: Any) -> Any:
@@ -85,15 +85,17 @@ def maybe_evaluate_expr(df: PandasDataFrame, arg: Any) -> Any:
 
 
 def parse_into_exprs(
-    implementation: str, *exprs: IntoExpr | Iterable[IntoExpr], **named_exprs: IntoExpr
+    implementation: str,
+    *exprs: IntoPandasExpr | Iterable[IntoPandasExpr],
+    **named_exprs: IntoPandasExpr,
 ) -> list[PandasExpr]:
     out = [parse_into_expr(implementation, into_expr) for into_expr in flatten(*exprs)]  # type: ignore[arg-type]
     for name, expr in named_exprs.items():
         out.append(parse_into_expr(implementation, expr).alias(name))
     return out
 
 
-def parse_into_expr(implementation: str, into_expr: IntoExpr) -> PandasExpr:
+def parse_into_expr(implementation: str, into_expr: IntoPandasExpr) -> PandasExpr:
     from narwhals.expression import Expr
     from narwhals.pandas_like.namespace import Namespace
 
@@ -107,7 +109,9 @@ def parse_into_expr(implementation: str, into_expr: IntoExpr) -> PandasExpr:
     raise TypeError(msg)
 
 
-def evaluate_into_expr(df: PandasDataFrame, into_expr: IntoExpr) -> list[PandasSeries]:
+def evaluate_into_expr(
+    df: PandasDataFrame, into_expr: IntoPandasExpr
+) -> list[PandasSeries]:
     """
     Return list of raw columns.
     """
@@ -117,8 +121,8 @@ def evaluate_into_expr(df: PandasDataFrame, into_expr: IntoExpr) -> list[PandasS
 
 def evaluate_into_exprs(
     df: PandasDataFrame,
-    *exprs: IntoExpr | Iterable[IntoExpr],
-    **named_exprs: IntoExpr,
+    *exprs: IntoPandasExpr | Iterable[IntoPandasExpr],
+    **named_exprs: IntoPandasExpr,
 ) -> list[PandasSeries]:
     """Evaluate each expr into Series."""
     series: list[PandasSeries] = [