TST: Test for setting indexed Series of type string[pyarrow] using dataframe loc (#52514)

* TST: Test for setting indexed pyarrow string Series using loc

* review feedback: pyarrow import

---------

Co-authored-by: Numan <[email protected]>

Author: NumanIjaz

pandas/tests/indexing/test_loc.py

@@ -2970,6 +2970,28 @@ def test_loc_periodindex_3_levels():
     assert mi_series.loc[(p_index[0], "A", "B")] == 1.0
 
 
+def test_loc_setitem_pyarrow_strings():
+    # GH#52319
+    pytest.importorskip("pyarrow")
+    df = DataFrame(
+        {
+            "strings": Series(["A", "B", "C"], dtype="string[pyarrow]"),
+            "ids": Series([True, True, False]),
+        }
+    )
+    new_value = Series(["X", "Y"])
+    df.loc[df.ids, "strings"] = new_value
+
+    expected_df = DataFrame(
+        {
+            "strings": Series(["X", "Y", "C"], dtype="string[pyarrow]"),
+            "ids": Series([True, True, False]),
+        }
+    )
+
+    tm.assert_frame_equal(df, expected_df)
+
+
 class TestLocSeries:
     @pytest.mark.parametrize("val,expected", [(2**63 - 1, 3), (2**63, 4)])
     def test_loc_uint64(self, val, expected):