wip

Author: MarcoGorelli

pandas/tests/frame/indexing/test_indexing.py

@@ -845,35 +845,11 @@ def test_setitem_single_column_mixed_datetime(self):
 
     def test_setitem_mixed_datetime(self):
         # GH 9336
-        expected = DataFrame(
-            {
-                "a": [0, 0, 0, 0, 13, 14],
-                "b": [
-                    datetime(2012, 1, 1),
-                    1,
-                    "x",
-                    "y",
-                    datetime(2013, 1, 1),
-                    datetime(2014, 1, 1),
-                ],
-            }
-        )
         df = DataFrame(0, columns=list("ab"), index=range(6))
         df["b"] = pd.NaT
         df.loc[0, "b"] = datetime(2012, 1, 1)
-        with tm.assert_produces_warning(
-            FutureWarning, match="Setting an item of incompatible dtype"
-        ):
+        with pytest.raises(TypeError, match="Invalid value"):
             df.loc[1, "b"] = 1
-        df.loc[[2, 3], "b"] = "x", "y"
-        A = np.array(
-            [
-                [13, np.datetime64("2013-01-01T00:00:00")],
-                [14, np.datetime64("2014-01-01T00:00:00")],
-            ]
-        )
-        df.loc[[4, 5], ["a", "b"]] = A
-        tm.assert_frame_equal(df, expected)
 
     def test_setitem_frame_float(self, float_frame):
         piece = float_frame.loc[float_frame.index[:2], ["A", "B"]]
@@ -1356,12 +1332,8 @@ def test_loc_setitem_rhs_frame(self, idxr, val):
         # GH#47578
         df = DataFrame({"a": [1, 2]})
 
-        with tm.assert_produces_warning(
-            FutureWarning, match="Setting an item of incompatible dtype"
-        ):
+        with pytest.raises(TypeError, match="Invalid value"):
             df.loc[:, idxr] = DataFrame({"a": [val, 11]}, index=[1, 2])
-        expected = DataFrame({"a": [np.nan, val]})
-        tm.assert_frame_equal(df, expected)
 
     def test_iloc_setitem_enlarge_no_warning(self):
         # GH#47381

pandas/tests/frame/indexing/test_set_value.py

@@ -1,12 +1,12 @@
 import numpy as np
+import pytest
 
 from pandas.core.dtypes.common import is_float_dtype
 
 from pandas import (
     DataFrame,
     isna,
 )
-import pandas._testing as tm
 
 
 class TestSetValue:
@@ -40,11 +40,8 @@ def test_set_value_resize(self, float_frame, using_infer_string):
         assert is_float_dtype(res["baz"])
         assert isna(res["baz"].drop(["foobar"])).all()
 
-        with tm.assert_produces_warning(
-            FutureWarning, match="Setting an item of incompatible dtype"
-        ):
+        with pytest.raises(TypeError, match="Invalid value"):
             res._set_value("foobar", "baz", "sam")
-        assert res.loc["foobar", "baz"] == "sam"
 
     def test_set_value_with_index_dtype_change(self):
         df_orig = DataFrame(

pandas/tests/series/methods/test_update.py

@@ -62,11 +62,9 @@ def test_update(self):
     def test_update_dtypes(self, other, dtype, expected, warn):
         ser = Series([10, 11, 12], dtype=dtype)
         other = Series(other, index=[1, 3])
-        with tm.assert_produces_warning(warn, match="item of incompatible dtype"):
+        with pytest.raises(TypeError, match="Invalid value"):
             ser.update(other)
 
-        tm.assert_series_equal(ser, expected)
-
     @pytest.mark.parametrize(
         "values, other, expected",
         [