Adjust tests for apply folder for new string option

pandas/tests/apply/test_frame_apply.py

@@ -1464,13 +1464,16 @@ def test_apply_datetime_tz_issue(engine, request):
 
 @pytest.mark.parametrize("df", [DataFrame({"A": ["a", None], "B": ["c", "d"]})])
 @pytest.mark.parametrize("method", ["min", "max", "sum"])
-def test_mixed_column_raises(df, method):
+def test_mixed_column_raises(df, method, using_infer_string):
     # GH 16832
     if method == "sum":
-        msg = r'can only concatenate str \(not "int"\) to str'
+        msg = r'can only concatenate str \(not "int"\) to str|does not support'
     else:
         msg = "not supported between instances of 'str' and 'float'"
-    with pytest.raises(TypeError, match=msg):
+    if not using_infer_string:
+        with pytest.raises(TypeError, match=msg):
+            getattr(df, method)()
+    else:
         getattr(df, method)()
 
 

pandas/tests/apply/test_invalid_arg.py

@@ -223,9 +223,14 @@ def transform2(row):
         DataFrame([["a", "b"], ["b", "a"]]), [["cumprod", TypeError]]
     ),
 )
-def test_agg_cython_table_raises_frame(df, func, expected, axis):
+def test_agg_cython_table_raises_frame(df, func, expected, axis, using_infer_string):
     # GH 21224
-    msg = "can't multiply sequence by non-int of type 'str'"
+    if using_infer_string:
+        import pyarrow as pa
+
+        expected = (expected, pa.lib.ArrowNotImplementedError)
+
+    msg = "can't multiply sequence by non-int of type 'str'|has no kernel"
     warn = None if isinstance(func, str) else FutureWarning
     with pytest.raises(expected, match=msg):
         with tm.assert_produces_warning(warn, match="using DataFrame.cumprod"):
@@ -248,11 +253,18 @@ def test_agg_cython_table_raises_frame(df, func, expected, axis):
         )
     ),
 )
-def test_agg_cython_table_raises_series(series, func, expected):
+def test_agg_cython_table_raises_series(series, func, expected, using_infer_string):
     # GH21224
     msg = r"[Cc]ould not convert|can't multiply sequence by non-int of type"
     if func == "median" or func is np.nanmedian or func is np.median:
         msg = r"Cannot convert \['a' 'b' 'c'\] to numeric"
+
+    if using_infer_string:
+        import pyarrow as pa
+
+        expected = (expected, pa.lib.ArrowNotImplementedError)
+
+    msg = msg + "|does not support|has no kernel"
     warn = None if isinstance(func, str) else FutureWarning
 
     with pytest.raises(expected, match=msg):

pandas/tests/apply/test_series_apply.py

@@ -222,7 +222,7 @@ def f(x):
         assert result == "Asia/Tokyo"
 
 
-def test_apply_categorical(by_row):
+def test_apply_categorical(by_row, using_infer_string):
     values = pd.Categorical(list("ABBABCD"), categories=list("DCBA"), ordered=True)
     ser = Series(values, name="XX", index=list("abcdefg"))
 
@@ -245,7 +245,7 @@ def test_apply_categorical(by_row):
     result = ser.apply(lambda x: "A")
     exp = Series(["A"] * 7, name="XX", index=list("abcdefg"))
     tm.assert_series_equal(result, exp)
-    assert result.dtype == object
+    assert result.dtype == object if not using_infer_string else "string[pyarrow_numpy]"
 
 
 @pytest.mark.parametrize("series", [["1-1", "1-1", np.nan], ["1-1", "1-2", np.nan]])