fix to_pandas|numpy

tests/conftest.py

@@ -36,7 +36,7 @@ def pandas_constructor(obj: Any) -> IntoDataFrame:
 
 
 def pandas_nullable_constructor(obj: Any) -> IntoDataFrame:
-    return pd.DataFrame(obj).convert_dtypes()  # type: ignore[no-any-return]
+    return pd.DataFrame(obj).convert_dtypes(dtype_backend="numpy_nullable")  # type: ignore[no-any-return]
 
 
 def pandas_pyarrow_constructor(obj: Any) -> IntoDataFrame:

tests/frame/to_numpy_test.py

@@ -8,11 +8,11 @@
 
 
 def test_convert_numpy(constructor: Any) -> None:
-    data = {"a": [1, 3, 2], "b": [4, 4, 6], "z": [7.0, 8, 9]}
+    data = {"a": [1, 3, 2], "b": [4, 4, 6], "z": [7.1, 8, 9]}
     df_raw = constructor(data)
     result = nw.from_native(df_raw, eager_only=True).to_numpy()
 
-    expected = np.array([[1, 3, 2], [4, 4, 6], [7.0, 8, 9]]).T
+    expected = np.array([[1, 3, 2], [4, 4, 6], [7.1, 8, 9]]).T
     np.testing.assert_array_equal(result, expected)
     assert result.dtype == "float64"
 

tests/frame/to_pandas_test.py

@@ -18,5 +18,10 @@ def test_convert_pandas(constructor_with_pyarrow: Any) -> None:
     data = {"a": [1, 3, 2], "b": [4, 4, 6], "z": [7.0, 8, 9]}
     df_raw = constructor_with_pyarrow(data)
     result = nw.from_native(df_raw).to_pandas()  # type: ignore[union-attr]
-    expected = pd.DataFrame(data)
+
+    if constructor_with_pyarrow.__name__.startswith("pandas"):
+        expected = constructor_with_pyarrow(data)
+    else:
+        expected = pd.DataFrame(data)
+
     pd.testing.assert_frame_equal(result, expected)