revert no-longer-necessary

Author: jbrockmendel

pandas/tests/resample/test_resampler_grouper.py

@@ -125,9 +125,6 @@ def test_getitem_multiple():
         index=exp_mi,
         name="buyer",
     )
-    expected.index = expected.index.set_levels(
-        expected.index.levels[1].as_unit("ns"), level=1
-    )
     tm.assert_series_equal(result, expected)
 
     result = r["buyer"].count()
@@ -545,9 +542,6 @@ def test_groupby_resample_with_list_of_keys():
         },
         index=mi_exp,
     )
-    expected.index = expected.index.set_levels(
-        expected.index.levels[1].as_unit("ns"), level=1
-    )
     tm.assert_frame_equal(result, expected)
 
 
@@ -621,9 +615,6 @@ def test_groupby_resample_size_all_index_same():
         3,
         index=mi_exp,
     )
-    expected.index = expected.index.set_levels(
-        expected.index.levels[1].as_unit("ns"), level=1
-    )
     tm.assert_series_equal(result, expected)
 
 
@@ -647,9 +638,6 @@ def test_groupby_resample_on_index_with_list_of_keys():
         },
         index=mi_exp,
     )
-    expected.index = expected.index.set_levels(
-        expected.index.levels[1].as_unit("ns"), level=1
-    )
     tm.assert_frame_equal(result, expected)
 
 
@@ -676,9 +664,6 @@ def test_groupby_resample_on_index_with_list_of_keys_multi_columns():
         },
         index=mi_exp,
     )
-    expected.index = expected.index.set_levels(
-        expected.index.levels[1].as_unit("ns"), level=1
-    )
     tm.assert_frame_equal(result, expected)
 
 

pandas/tests/resample/test_time_grouper.py

@@ -331,7 +331,7 @@ def test_upsample_sum(method, method_args, expected_values):
         ["2017-01-01T00:00:00", "2017-01-01T00:30:00", "2017-01-01T01:00:00"],
         dtype="M8[ns]",
         freq="30min",
-    ).as_unit("ns")
+    )
     result = methodcaller(method, **method_args)(resampled)
     expected = Series(expected_values, index=index)
     tm.assert_series_equal(result, expected)
@@ -362,9 +362,6 @@ def test_groupby_resample_interpolate():
         [volume, week_starting],
         names=["volume", "week_starting"],
     )
-    expected_ind = expected_ind.set_levels(
-        expected_ind.levels[1].as_unit("ns"), level=1
-    )
 
     expected = DataFrame(
         data={