Addressed code review comment

constructed exact expected dataframe for asserting

Author: parthi-siva

pandas/tests/indexing/test_iloc.py

@@ -27,6 +27,7 @@
     interval_range,
     isna,
     to_datetime,
+    Timestamp
 )
 import pandas._testing as tm
 from pandas.api.types import is_scalar
@@ -1196,7 +1197,7 @@ def test_iloc_setitem_multicolumn_to_datetime(self):
 
         df.iloc[:, [0]] = DataFrame({"A": to_datetime(["2021", "2022"])})
         expected = DataFrame(
-            {"A": to_datetime(["2021", "2022"]), "B": ["2021", "2022"]}
+            {"A": [Timestamp("2021-01-01 00:00:00"), Timestamp("2022-01-01 00:00:00")], "B": ["2021", "2022"]}, dtype=object
         )
         tm.assert_frame_equal(df, expected, check_dtype=False)
 
@@ -1382,9 +1383,9 @@ def test_frame_iloc_setitem_callable_multicolumn_to_datetime(self):
 
         df.iloc[:, [0]] = df.iloc[:, [0]].apply(to_datetime)
         expected = DataFrame(
-            {"A": to_datetime(["2022-01-01", "2022-01-02"]), "B": ["2021", "2022"]}
+            {"A": [Timestamp("2022-01-01 00:00:00"), Timestamp("2022-01-02 00:00:00")], "B": ["2021", "2022"]}, dtype=object
         )
-        tm.assert_frame_equal(df, expected, check_dtype=False)
+        tm.assert_frame_equal(df, expected)
 
 
 class TestILocSeries: