try harder

narwhals/pandas_like/utils.py

@@ -119,8 +119,16 @@ def evaluate_into_expr(
     """
     Return list of raw columns.
     """
-    expr = parse_into_expr(df._implementation, into_expr)
-    return expr._call(df)
+    from narwhals.pandas_like.expr import PandasExpr
+    from narwhals.pandas_like.series import PandasSeries
+
+    if isinstance(into_expr, PandasSeries):
+        return [into_expr]
+    if isinstance(into_expr, str):
+        return [df[into_expr]]
+    if isinstance(into_expr, PandasExpr):
+        return into_expr._call(df)
+    raise AssertionError
 
 
 def evaluate_into_exprs(

tests/test_common.py

@@ -233,6 +233,7 @@ def test_accepted_dataframes() -> None:
 
 
 @pytest.mark.parametrize("df_raw", [df_polars, df_pandas, df_mpd])
+@pytest.mark.filterwarnings("ignore:.*Passing a BlockManager.*:DeprecationWarning")
 def test_convert_pandas(df_raw: Any) -> None:
     result = nw.DataFrame(df_raw).to_pandas()
     expected = pd.DataFrame({"a": [1, 3, 2], "b": [4, 4, 6], "z": [7.0, 8, 9]})

tests/tpch_q1_test.py

@@ -20,6 +20,7 @@
 def test_q1(library: str) -> None:
     if library == "pandas":
         df_raw = pd.read_parquet("tests/data/lineitem.parquet")
+        df_raw["l_shipdate"] = pd.to_datetime(df_raw["l_shipdate"])
     elif library == "polars":
         df_raw = pl.scan_parquet("tests/data/lineitem.parquet")
     var_1 = datetime(1998, 9, 2)
@@ -78,7 +79,8 @@ def test_q1(library: str) -> None:
 @mock.patch.dict(os.environ, {"NARWHALS_FORCE_GENERIC": "1"})
 @pytest.mark.filterwarnings("ignore:.*Passing a BlockManager.*:DeprecationWarning")
 def test_q1_w_pandas_agg_generic_path() -> None:
-    df_raw = pl.read_parquet("tests/data/lineitem.parquet").to_pandas()
+    df_raw = pd.read_parquet("tests/data/lineitem.parquet")
+    df_raw["l_shipdate"] = pd.to_datetime(df_raw["l_shipdate"])
     var_1 = datetime(1998, 9, 2)
     df = nw.LazyFrame(df_raw)
     query_result = (