wip

Author: MarcoGorelli

pandas/tests/frame/methods/test_update.py

@@ -152,18 +152,9 @@ def test_update_with_different_dtype(self):
         # GH#3217
         df = DataFrame({"a": [1, 3], "b": [np.nan, 2]})
         df["c"] = np.nan
-        with tm.assert_produces_warning(FutureWarning, match="incompatible dtype"):
+        with pytest.raises(TypeError, match="Invalid value"):
             df.update({"c": Series(["foo"], index=[0])})
 
-        expected = DataFrame(
-            {
-                "a": [1, 3],
-                "b": [np.nan, 2],
-                "c": Series(["foo", np.nan], dtype="object"),
-            }
-        )
-        tm.assert_frame_equal(df, expected)
-
     def test_update_modify_view(self, using_infer_string):
         # GH#47188
         df = DataFrame({"A": ["1", np.nan], "B": ["100", np.nan]})

pandas/tests/indexing/test_at.py

@@ -24,12 +24,8 @@
 def test_at_timezone():
     # https://github.com/pandas-dev/pandas/issues/33544
     result = DataFrame({"foo": [datetime(2000, 1, 1)]})
-    with tm.assert_produces_warning(FutureWarning, match="incompatible dtype"):
+    with pytest.raises(TypeError, match="Invalid value"):
         result.at[0, "foo"] = datetime(2000, 1, 2, tzinfo=timezone.utc)
-    expected = DataFrame(
-        {"foo": [datetime(2000, 1, 2, tzinfo=timezone.utc)]}, dtype=object
-    )
-    tm.assert_frame_equal(result, expected)
 
 
 def test_selection_methods_of_assigned_col():

pandas/tests/indexing/test_iloc.py

@@ -9,7 +9,6 @@
 from pandas.errors import IndexingError
 
 from pandas import (
-    NA,
     Categorical,
     CategoricalDtype,
     DataFrame,
@@ -529,9 +528,8 @@ def test_iloc_setitem_frame_duplicate_columns_multiple_blocks(self):
 
         # if the assigned values cannot be held by existing integer arrays,
         #  we cast
-        with tm.assert_produces_warning(FutureWarning, match="incompatible dtype"):
+        with pytest.raises(TypeError, match="Invalid value"):
             df.iloc[:, 0] = df.iloc[:, 0] + 0.5
-        assert len(df._mgr.blocks) == 2
 
         expected = df.copy()
 
@@ -1445,7 +1443,5 @@ def test_iloc_setitem_pure_position_based(self):
     def test_iloc_nullable_int64_size_1_nan(self):
         # GH 31861
         result = DataFrame({"a": ["test"], "b": [np.nan]})
-        with tm.assert_produces_warning(FutureWarning, match="incompatible dtype"):
+        with pytest.raises(TypeError, match="Invalid value"):
             result.loc[:, "b"] = result.loc[:, "b"].astype("Int64")
-        expected = DataFrame({"a": ["test"], "b": array([NA], dtype="Int64")})
-        tm.assert_frame_equal(result, expected)