chore: Track ExpansionKind in ExprMetadata

narwhals/_arrow/expr.py

@@ -60,8 +60,8 @@ def from_column_names(
         evaluate_column_names: Callable[[ArrowDataFrame], Sequence[str]],
         /,
         *,
-        function_name: str,
         context: _FullContext,
+        function_name: str = "",
     ) -> Self:
         def func(df: ArrowDataFrame) -> list[ArrowSeries]:
             try:

narwhals/_arrow/namespace.py

@@ -59,8 +59,6 @@ def __init__(
         self._implementation = Implementation.PYARROW
         self._version = version
 
-    # --- selection ---
-
     def len(self: Self) -> ArrowExpr:
         # coverage bug? this is definitely hit
         return self._expr(  # pragma: no cover

narwhals/_compliant/expr.py

@@ -84,8 +84,6 @@ class CompliantExpr(Protocol38[CompliantFrameT, CompliantSeriesOrNativeExprT_co]
     _version: Version
     _evaluate_output_names: Callable[[CompliantFrameT], Sequence[str]]
     _alias_output_names: Callable[[Sequence[str]], Sequence[str]] | None
-    _depth: int
-    _function_name: str
     _metadata: ExprMetadata | None
 
     def __call__(
@@ -101,11 +99,12 @@ def from_column_names(
         evaluate_column_names: Callable[[CompliantFrameT], Sequence[str]],
         /,
         *,
-        function_name: str,
         context: _FullContext,
     ) -> Self: ...
     @classmethod
-    def from_column_indices(cls, *column_indices: int, context: _FullContext) -> Self: ...
+    def from_column_indices(
+        cls: type[Self], *column_indices: int, context: _FullContext
+    ) -> Self: ...
 
     def _with_metadata(self, metadata: ExprMetadata) -> Self: ...
 
@@ -272,25 +271,64 @@ def __invert__(self) -> Self: ...
     def broadcast(
         self, kind: Literal[ExprKind.AGGREGATION, ExprKind.LITERAL]
     ) -> Self: ...
-    def _is_multi_output_agg(self) -> bool:
-        """Return `True` for multi-output aggregations.
+    def _is_multi_output_unnamed(self) -> bool:
+        """Return `True` for multi-output aggregations without names.
+
+        For example, column `'a'` only appears in the output as a grouping key:
 
-        Here we skip the keys, else they would appear duplicated in the output:
+            df.group_by('a').agg(nw.all().sum())
 
-            df.group_by("a").agg(nw.all().mean())
+        It does not get included in:
+
+            nw.all().sum().
         """
-        return self._function_name.split("->", maxsplit=1)[0] in {"all", "selector"}
+        assert self._metadata is not None  # noqa: S101
+        return self._metadata.expansion_kind.is_multi_unnamed()
+
+
+class DepthTrackingExpr(
+    CompliantExpr[CompliantFrameT, CompliantSeriesOrNativeExprT_co],
+    Protocol38[CompliantFrameT, CompliantSeriesOrNativeExprT_co],
+):
+    _depth: int
+    _function_name: str
+
+    @classmethod
+    def from_column_names(
+        cls: type[Self],
+        evaluate_column_names: Callable[[CompliantFrameT], Sequence[str]],
+        /,
+        *,
+        context: _FullContext,
+        function_name: str = "",
+    ) -> Self: ...
+
+    def _is_elementary(self) -> bool:
+        """Check if expr is elementary.
+
+        Examples:
+            - nw.col('a').mean()  # depth 1
+            - nw.mean('a')  # depth 1
+            - nw.len()  # depth 0
+
+        as opposed to, say
+
+            - nw.col('a').filter(nw.col('b')>nw.col('c')).max()
+
+        Elementary expressions are the only ones supported properly in
+        pandas, PyArrow, and Dask.
+        """
+        return self._depth < 2
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"{type(self).__name__}(depth={self._depth}, function_name={self._function_name})"
 
 
 class EagerExpr(
-    CompliantExpr[EagerDataFrameT, EagerSeriesT],
+    DepthTrackingExpr[EagerDataFrameT, EagerSeriesT],
     Protocol38[EagerDataFrameT, EagerSeriesT],
 ):
     _call: Callable[[EagerDataFrameT], Sequence[EagerSeriesT]]
-    _depth: int
-    _function_name: str
-    _evaluate_output_names: Any
-    _alias_output_names: Any
     _call_kwargs: dict[str, Any]
 
     def __init__(
@@ -310,9 +348,6 @@ def __init__(
     def __call__(self, df: EagerDataFrameT) -> Sequence[EagerSeriesT]:
         return self._call(df)
 
-    def __repr__(self) -> str:  # pragma: no cover
-        return f"{type(self).__name__}(depth={self._depth}, function_name={self._function_name})"
-
     def __narwhals_namespace__(
         self,
     ) -> EagerNamespace[EagerDataFrameT, EagerSeriesT, Self]: ...

narwhals/_compliant/group_by.py

@@ -14,17 +14,18 @@
 from typing import TypeVar
 
 from narwhals._compliant.typing import CompliantDataFrameT_co
-from narwhals._compliant.typing import CompliantExprAny
 from narwhals._compliant.typing import CompliantExprT_contra
 from narwhals._compliant.typing import CompliantFrameT_co
 from narwhals._compliant.typing import CompliantLazyFrameT_co
+from narwhals._compliant.typing import EagerExprT_contra
 from narwhals._compliant.typing import LazyExprT_contra
 from narwhals._compliant.typing import NativeExprT_co
-from narwhals._expression_parsing import is_elementary_expression
 
 if TYPE_CHECKING:
     from typing_extensions import TypeAlias
 
+    from narwhals._compliant.expr import DepthTrackingExpr
+
 if not TYPE_CHECKING:  # pragma: no cover
     if sys.version_info >= (3, 9):
         from typing import Protocol as Protocol38
@@ -49,6 +50,10 @@
 NarwhalsAggregation: TypeAlias = Literal[
     "sum", "mean", "median", "max", "min", "std", "var", "len", "n_unique", "count"
 ]
+DepthTrackingExprAny: TypeAlias = "DepthTrackingExpr[Any, Any]"
+DepthTrackingExprT_contra = TypeVar(
+    "DepthTrackingExprT_contra", bound=DepthTrackingExprAny, contravariant=True
+)
 
 
 _RE_LEAF_NAME: re.Pattern[str] = re.compile(r"(\w+->)")
@@ -75,8 +80,8 @@ def agg(self, *exprs: CompliantExprT_contra) -> CompliantFrameT_co: ...
 
 
 class DepthTrackingGroupBy(
-    CompliantGroupBy[CompliantFrameT_co, CompliantExprT_contra],
-    Protocol38[CompliantFrameT_co, CompliantExprT_contra, NativeAggregationT_co],
+    CompliantGroupBy[CompliantFrameT_co, DepthTrackingExprT_contra],
+    Protocol38[CompliantFrameT_co, DepthTrackingExprT_contra, NativeAggregationT_co],
 ):
     """`CompliantGroupBy` variant, deals with `Eager` and other backends that utilize `CompliantExpr._depth`."""
 
@@ -87,7 +92,7 @@ class DepthTrackingGroupBy(
     - `Dask` *may* return a `Callable` instead of a `str` referring to one.
     """
 
-    def _ensure_all_simple(self, exprs: Sequence[CompliantExprT_contra]) -> None:
+    def _ensure_all_simple(self, exprs: Sequence[DepthTrackingExprT_contra]) -> None:
         for expr in exprs:
             if not self._is_simple(expr):
                 name = self.compliant._implementation.name.lower()
@@ -104,9 +109,9 @@ def _ensure_all_simple(self, exprs: Sequence[CompliantExprT_contra]) -> None:
                 raise ValueError(msg)
 
     @classmethod
-    def _is_simple(cls, expr: CompliantExprAny, /) -> bool:
+    def _is_simple(cls, expr: DepthTrackingExprAny, /) -> bool:
         """Return `True` is we can efficiently use `expr` in a native `group_by` context."""
-        return is_elementary_expression(expr) and cls._leaf_name(expr) in cls._REMAP_AGGS
+        return expr._is_elementary() and cls._leaf_name(expr) in cls._REMAP_AGGS
 
     @classmethod
     def _remap_expr_name(
@@ -123,14 +128,14 @@ def _remap_expr_name(
         return cls._REMAP_AGGS.get(name, name)
 
     @classmethod
-    def _leaf_name(cls, expr: CompliantExprAny, /) -> NarwhalsAggregation | Any:
+    def _leaf_name(cls, expr: DepthTrackingExprAny, /) -> NarwhalsAggregation | Any:
         """Return the last function name in the chain defined by `expr`."""
         return _RE_LEAF_NAME.sub("", expr._function_name)
 
 
 class EagerGroupBy(
-    DepthTrackingGroupBy[CompliantDataFrameT_co, CompliantExprT_contra, str],
-    Protocol38[CompliantDataFrameT_co, CompliantExprT_contra],
+    DepthTrackingGroupBy[CompliantDataFrameT_co, EagerExprT_contra, str],
+    Protocol38[CompliantDataFrameT_co, EagerExprT_contra],
 ):
     def __iter__(self) -> Iterator[tuple[Any, CompliantDataFrameT_co]]: ...
 
@@ -147,7 +152,7 @@ def _evaluate_expr(self, expr: LazyExprT_contra, /) -> Iterator[NativeExprT_co]:
             else output_names
         )
         native_exprs = expr(self.compliant)
-        if expr._is_multi_output_agg():
+        if expr._is_multi_output_unnamed():
             for native_expr, name, alias in zip(native_exprs, output_names, aliases):
                 if name not in self._keys:
                     yield native_expr.alias(alias)

narwhals/_compliant/namespace.py

@@ -7,6 +7,7 @@
 from typing import Iterable
 from typing import Literal
 from typing import Protocol
+from typing import TypeVar
 
 from narwhals._compliant.typing import CompliantExprT
 from narwhals._compliant.typing import CompliantFrameT
@@ -18,34 +19,36 @@
 from narwhals.utils import passthrough_column_names
 
 if TYPE_CHECKING:
+    from typing_extensions import TypeAlias
+
+    from narwhals._compliant.expr import DepthTrackingExpr
     from narwhals._compliant.selectors import CompliantSelectorNamespace
     from narwhals.dtypes import DType
     from narwhals.utils import Implementation
     from narwhals.utils import Version
 
 __all__ = ["CompliantNamespace", "EagerNamespace"]
 
+DepthTrackingExprAny: TypeAlias = "DepthTrackingExpr[Any, Any]"
+DepthTrackingExprT = TypeVar("DepthTrackingExprT", bound=DepthTrackingExprAny)
+
 
 class CompliantNamespace(Protocol[CompliantFrameT, CompliantExprT]):
     _implementation: Implementation
     _backend_version: tuple[int, ...]
     _version: Version
 
     def all(self) -> CompliantExprT:
-        return self._expr.from_column_names(
-            get_column_names, function_name="all", context=self
-        )
+        return self._expr.from_column_names(get_column_names, context=self)
 
     def col(self, *column_names: str) -> CompliantExprT:
         return self._expr.from_column_names(
-            passthrough_column_names(column_names), function_name="col", context=self
+            passthrough_column_names(column_names), context=self
         )
 
     def exclude(self, excluded_names: Container[str]) -> CompliantExprT:
         return self._expr.from_column_names(
-            partial(exclude_column_names, names=excluded_names),
-            function_name="exclude",
-            context=self,
+            partial(exclude_column_names, names=excluded_names), context=self
         )
 
     def nth(self, *column_indices: int) -> CompliantExprT:
@@ -78,8 +81,30 @@ def selectors(self) -> CompliantSelectorNamespace[Any, Any]: ...
     def _expr(self) -> type[CompliantExprT]: ...
 
 
+class DepthTrackingNamespace(
+    CompliantNamespace[CompliantFrameT, DepthTrackingExprT],
+    Protocol[CompliantFrameT, DepthTrackingExprT],
+):
+    def all(self) -> DepthTrackingExprT:
+        return self._expr.from_column_names(
+            get_column_names, function_name="all", context=self
+        )
+
+    def col(self, *column_names: str) -> DepthTrackingExprT:
+        return self._expr.from_column_names(
+            passthrough_column_names(column_names), function_name="col", context=self
+        )
+
+    def exclude(self, excluded_names: Container[str]) -> DepthTrackingExprT:
+        return self._expr.from_column_names(
+            partial(exclude_column_names, names=excluded_names),
+            function_name="exclude",
+            context=self,
+        )
+
+
 class EagerNamespace(
-    CompliantNamespace[EagerDataFrameT, EagerExprT],
+    DepthTrackingNamespace[EagerDataFrameT, EagerExprT],
     Protocol[EagerDataFrameT, EagerSeriesT_co, EagerExprT],
 ):
     @property

narwhals/_compliant/selectors.py

@@ -20,7 +20,6 @@
 from narwhals.utils import get_column_names
 from narwhals.utils import import_dtypes_module
 from narwhals.utils import is_compliant_dataframe
-from narwhals.utils import is_tracks_depth
 
 if not TYPE_CHECKING:  # pragma: no cover
     # TODO @dangotbanned: Remove after dropping `3.8` (#2084)
@@ -302,10 +301,6 @@ def names(df: FrameT) -> Sequence[str]:
     def __invert__(self: Self) -> CompliantSelector[FrameT, SeriesOrExprT]:
         return self.selectors.all() - self  # type: ignore[no-any-return]
 
-    def __repr__(self: Self) -> str:  # pragma: no cover
-        s = f"depth={self._depth}, " if is_tracks_depth(self._implementation) else ""
-        return f"{type(self).__name__}({s}function_name={self._function_name})"
-
 
 def _eval_lhs_rhs(
     df: CompliantDataFrame[Any, Any, Any] | CompliantLazyFrame[Any, Any],

narwhals/_dask/expr.py

@@ -8,6 +8,7 @@
 from typing import Sequence
 
 from narwhals._compliant import LazyExpr
+from narwhals._compliant.expr import DepthTrackingExpr
 from narwhals._dask.expr_dt import DaskExprDateTimeNamespace
 from narwhals._dask.expr_name import DaskExprNameNamespace
 from narwhals._dask.expr_str import DaskExprStringNamespace
@@ -16,7 +17,6 @@
 from narwhals._dask.utils import narwhals_to_native_dtype
 from narwhals._expression_parsing import ExprKind
 from narwhals._expression_parsing import evaluate_output_names_and_aliases
-from narwhals._expression_parsing import is_elementary_expression
 from narwhals._pandas_like.utils import native_to_narwhals_dtype
 from narwhals.exceptions import ColumnNotFoundError
 from narwhals.exceptions import InvalidOperationError
@@ -42,7 +42,10 @@
     from narwhals.utils import _FullContext
 
 
-class DaskExpr(LazyExpr["DaskLazyFrame", "dx.Series"]):
+class DaskExpr(
+    LazyExpr["DaskLazyFrame", "dx.Series"],
+    DepthTrackingExpr["DaskLazyFrame", "dx.Series"],
+):
     _implementation: Implementation = Implementation.DASK
 
     def __init__(
@@ -115,8 +118,8 @@ def from_column_names(
         evaluate_column_names: Callable[[DaskLazyFrame], Sequence[str]],
         /,
         *,
-        function_name: str,
         context: _FullContext,
+        function_name: str = "",
     ) -> Self:
         def func(df: DaskLazyFrame) -> list[dx.Series]:
             try:
@@ -573,7 +576,7 @@ def over(
             # which we can always easily support, as it doesn't require grouping.
             def func(df: DaskLazyFrame) -> Sequence[dx.Series]:
                 return self(df.sort(*order_by, descending=False, nulls_last=False))
-        elif not is_elementary_expression(self):  # pragma: no cover
+        elif not self._is_elementary():  # pragma: no cover
             msg = (
                 "Only elementary expressions are supported for `.over` in dask.\n\n"
                 "Please see: "

narwhals/_dask/namespace.py

@@ -12,7 +12,7 @@
 import dask.dataframe as dd
 import pandas as pd
 
-from narwhals._compliant import CompliantNamespace
+from narwhals._compliant.namespace import DepthTrackingNamespace
 from narwhals._dask.dataframe import DaskLazyFrame
 from narwhals._dask.expr import DaskExpr
 from narwhals._dask.selectors import DaskSelectorNamespace
@@ -37,7 +37,7 @@
         import dask_expr as dx
 
 
-class DaskNamespace(CompliantNamespace[DaskLazyFrame, "DaskExpr"]):
+class DaskNamespace(DepthTrackingNamespace[DaskLazyFrame, "DaskExpr"]):
     _implementation: Implementation = Implementation.DASK
 
     @property