update tests

pandas/tests/io/excel/test_writers.py

@@ -858,10 +858,7 @@ def test_to_excel_multiindex_dates(self, merge_cells, path):
         unit = "us"
         if path.endswith(".ods"):
             unit = "s"
-        new_index = [
-            tsframe.index.as_unit(unit),
-            np.arange(len(tsframe.index), dtype=np.int64),
-        ]
+        new_index[0] = tsframe.index.as_unit(unit)
         tsframe.index = MultiIndex.from_arrays(new_index)
 
         tsframe.index.names = ["time", "foo"]

pandas/tests/io/json/test_pandas.py

@@ -1630,9 +1630,8 @@ def test_read_timezone_information(self):
         result = read_json(
             StringIO('{"2019-01-01T11:00:00.000Z":88}'), typ="series", orient="index"
         )
-        expected = Series(
-            [88], index=DatetimeIndex(["2019-01-01 11:00:00"], tz="UTC").as_unit("ns")
-        )
+        exp_dti = DatetimeIndex(["2019-01-01 11:00:00"], dtype="M8[ns, UTC]")
+        expected = Series([88], index=exp_dti)
         tm.assert_series_equal(result, expected)
 
     @pytest.mark.parametrize(

pandas/tests/reshape/test_pivot.py

@@ -437,10 +437,10 @@ def test_pivot_no_values(self):
             index=idx,
         )
         res = df.pivot_table(index=df.index.month, columns=Grouper(key="dt", freq="ME"))
-        exp_columns = MultiIndex.from_tuples(
-            [("A", pd.Timestamp("2011-01-31").as_unit("ns"))]
+        exp_columns = MultiIndex.from_arrays(
+            [["A"], pd.DatetimeIndex(["2011-01-31"], dtype="M8[ns]")],
+            names=[None, "dt"],
         )
-        exp_columns.names = [None, "dt"]
         exp = DataFrame(
             [3.25, 2.0], index=Index([1, 2], dtype=np.int32), columns=exp_columns
         )