Merge pull request #9 from raisadz/main

Add tests for common dataframe operations

narwhals/expression.py

@@ -6,6 +6,7 @@
 from typing import Iterable
 
 from narwhals.dtypes import translate_dtype
+from narwhals.utils import flatten
 
 if TYPE_CHECKING:
     from narwhals.typing import IntoExpr
@@ -184,7 +185,9 @@ def max(*columns: str) -> Expr:
 
 
 def sum_horizontal(*exprs: IntoExpr | Iterable[IntoExpr]) -> Expr:
-    return Expr(lambda plx: plx.sum_horizontal(*exprs))
+    return Expr(
+        lambda plx: plx.sum_horizontal([extract_native(plx, v) for v in flatten(exprs)])
+    )
 
 
 __all__ = [

narwhals/pandas_like/dataframe.py

@@ -99,9 +99,9 @@ def filter(
         self,
         *predicates: IntoPandasExpr | Iterable[IntoPandasExpr],
     ) -> Self:
-        from narwhals.pandas_like.namespace import Namespace
+        from narwhals.pandas_like.namespace import PandasNamespace
 
-        plx = Namespace(self._implementation)
+        plx = PandasNamespace(self._implementation)
         expr = plx.all_horizontal(*predicates)
         # Safety: all_horizontal's expression only returns a single column.
         mask = expr._call(self)[0]

narwhals/pandas_like/namespace.py

@@ -19,7 +19,7 @@
     from narwhals.pandas_like.typing import IntoPandasExpr
 
 
-class Namespace:
+class PandasNamespace:
     Int64 = dtypes.Int64
     Int32 = dtypes.Int32
     Int16 = dtypes.Int16

narwhals/pandas_like/utils.py

@@ -97,10 +97,13 @@ def parse_into_exprs(
 
 def parse_into_expr(implementation: str, into_expr: IntoPandasExpr) -> PandasExpr:
     from narwhals.expression import Expr
-    from narwhals.pandas_like.namespace import Namespace
+    from narwhals.pandas_like.expr import PandasExpr
+    from narwhals.pandas_like.namespace import PandasNamespace
 
-    plx = Namespace(implementation=implementation)
+    plx = PandasNamespace(implementation=implementation)
 
+    if isinstance(into_expr, PandasExpr):
+        return into_expr
     if isinstance(into_expr, Expr):
         return into_expr._call(plx)
     if isinstance(into_expr, str):
@@ -141,10 +144,10 @@ def evaluate_into_exprs(
 
 def register_expression_call(expr: ExprT, attr: str, *args: Any, **kwargs: Any) -> ExprT:
     from narwhals.pandas_like.expr import PandasExpr
-    from narwhals.pandas_like.namespace import Namespace
+    from narwhals.pandas_like.namespace import PandasNamespace
     from narwhals.pandas_like.series import PandasSeries
 
-    plx = Namespace(implementation=expr._implementation)
+    plx = PandasNamespace(implementation=expr._implementation)
 
     def func(df: PandasDataFrame) -> list[PandasSeries]:
         out: list[PandasSeries] = []

tests/test_common.py

@@ -0,0 +1,120 @@
+from __future__ import annotations
+
+from typing import Any
+
+import pandas as pd
+import polars as pl
+import pytest
+
+import narwhals as nw
+from tests.utils import compare_dicts
+
+df_pandas = pd.DataFrame({"a": [1, 3, 2], "b": [4, 4, 6], "z": [7.0, 8, 9]})
+df_polars = pl.DataFrame({"a": [1, 3, 2], "b": [4, 4, 6], "z": [7.0, 8, 9]})
+
+
+@pytest.mark.parametrize(
+    "df_raw",
+    [df_pandas, df_polars],
+)
+def test_sort(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.sort("a", "b")
+    result_native = nw.to_native(result)
+    expected = {
+        "a": [1, 2, 3],
+        "b": [4, 6, 4],
+        "z": [7.0, 9.0, 8.0],
+    }
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize(
+    "df_raw",
+    [df_pandas, df_polars],
+)
+def test_filter(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.filter(nw.col("a") > 1)
+    result_native = nw.to_native(result)
+    expected = {"a": [3, 2], "b": [4, 6], "z": [8.0, 9.0]}
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize(
+    "df_raw",
+    [df_pandas, df_polars],
+)
+def test_add(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.with_columns(
+        c=nw.col("a") + nw.col("b"),
+        d=nw.col("a") - nw.col("a").mean(),
+    )
+    result_native = nw.to_native(result)
+    expected = {
+        "a": [1, 3, 2],
+        "b": [4, 4, 6],
+        "z": [7.0, 8.0, 9.0],
+        "c": [5, 7, 8],
+        "d": [-1.0, 1.0, 0.0],
+    }
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize(
+    "df_raw",
+    [df_pandas, df_polars],
+)
+def test_double(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.with_columns(nw.all() * 2)
+    result_native = nw.to_native(result)
+    expected = {"a": [2, 6, 4], "b": [8, 8, 12], "z": [14.0, 16.0, 18.0]}
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize("df_raw", [df_pandas, df_polars])
+def test_sumh(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.with_columns(horizonal_sum=nw.sum_horizontal(nw.col("a"), nw.col("b")))
+    result_native = nw.to_native(result)
+    expected = {
+        "a": [1, 3, 2],
+        "b": [4, 4, 6],
+        "z": [7.0, 8.0, 9.0],
+        "horizonal_sum": [5, 7, 8],
+    }
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize("df_raw", [df_pandas, df_polars])
+def test_sumh_literal(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.with_columns(horizonal_sum=nw.sum_horizontal("a", nw.col("b")))
+    result_native = nw.to_native(result)
+    expected = {
+        "a": [1, 3, 2],
+        "b": [4, 4, 6],
+        "z": [7.0, 8.0, 9.0],
+        "horizonal_sum": [5, 7, 8],
+    }
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize("df_raw", [df_pandas, df_polars])
+def test_sum_all(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.select(nw.all().sum())
+    result_native = nw.to_native(result)
+    expected = {"a": [6], "b": [14], "z": [24.0]}
+    compare_dicts(result_native, expected)
+
+
+@pytest.mark.parametrize("df_raw", [df_pandas, df_polars])
+def test_double_selected(df_raw: Any) -> None:
+    df = nw.DataFrame(df_raw)
+    result = df.select(nw.col("a", "b") * 2)
+    result_native = nw.to_native(result)
+    expected = {"a": [2, 6, 4], "b": [8, 8, 12]}
+    compare_dicts(result_native, expected)