make error message consistent

Author: jorisvandenbossche

pandas/core/arrays/string_arrow.py

@@ -240,7 +240,7 @@ def _maybe_convert_setitem_value(self, value):
             value[isna(value)] = None
             for v in value:
                 if not (v is None or isinstance(v, str)):
-                    raise TypeError("Scalar must be NA or str")
+                    raise TypeError("Must provide strings")
         return super()._maybe_convert_setitem_value(value)
 
     def isin(self, values: ArrayLike) -> npt.NDArray[np.bool_]:

pandas/tests/indexing/test_loc.py

@@ -1230,7 +1230,7 @@ def test_loc_setitem_str_to_small_float_conversion_type(self, using_infer_string
         # assigning with loc/iloc attempts to set the values inplace, which
         #  in this case is successful
         if using_infer_string:
-            with pytest.raises(TypeError, match="Scalar must"):
+            with pytest.raises(TypeError, match="Must provide strings"):
                 result.loc[result.index, "A"] = [float(x) for x in col_data]
         else:
             result.loc[result.index, "A"] = [float(x) for x in col_data]