diff --git a/narwhals/_pandas_like/dataframe.py b/narwhals/_pandas_like/dataframe.py
index a011781d9..d9035e4d4 100644
--- a/narwhals/_pandas_like/dataframe.py
+++ b/narwhals/_pandas_like/dataframe.py
@@ -866,7 +866,6 @@ def pivot(
 
         if aggregate_function is None:
             result = frame.pivot(columns=on, index=index, values=values_)
-
         elif aggregate_function == "len":
             result = (
                 frame.groupby([*on, *index])  # type: ignore[misc]
@@ -882,11 +881,9 @@ def pivot(
                 columns=on,
                 aggregate_function=aggregate_function,
             )
+
         # Put columns in the right order
-        if (
-            sort_columns
-            and self._implementation is Implementation.CUDF  # pragma: no cover
-        ):
+        if sort_columns and self._implementation is Implementation.CUDF:
             uniques = {
                 col: sorted(self._native_frame[col].unique().to_arrow().to_pylist())
                 for col in on
diff --git a/narwhals/_pandas_like/utils.py b/narwhals/_pandas_like/utils.py
index 89a030981..f4f6962e0 100644
--- a/narwhals/_pandas_like/utils.py
+++ b/narwhals/_pandas_like/utils.py
@@ -781,7 +781,7 @@ def pivot_table(
     aggregate_function: str | None,
 ) -> Any:
     dtypes = import_dtypes_module(df._version)
-    if df._implementation is Implementation.CUDF:  # pragma: no cover
+    if df._implementation is Implementation.CUDF:
         if any(x == dtypes.Categorical for x in df.schema.values()):
             msg = "`pivot` with Categoricals is not implemented for cuDF backend"
             raise NotImplementedError(msg)