adjust for comments II

pandas/tests/frame/test_alter_axes.py

@@ -979,8 +979,7 @@ def test_reset_index(self, float_frame):
         ):
             values = lev.take(level_codes)
             name = names[i]
-            tm.assert_index_equal(values, Index(deleveled[name]), check_names=False)
-            assert values.name is None
+            tm.assert_index_equal(values, Index(deleveled[name].rename(name=None)))
 
         stacked.index.names = [None, None]
         deleveled2 = stacked.reset_index()

pandas/tests/indexes/multi/test_reindex.py

@@ -6,19 +6,17 @@
 import pandas.util.testing as tm
 
 
-def check_level_names(index, names):
-    assert [level.name for level in index.levels] == list(names)
-
-
 def test_reindex(idx):
     result, indexer = idx.reindex(list(idx[:4]))
     assert isinstance(result, MultiIndex)
-    check_level_names(result, [None, None])
+    assert result.names == ["first", "second"]
+    assert [level.name for level in result.levels] == [None, None]
 
     result, indexer = idx.reindex(list(idx))
     assert isinstance(result, MultiIndex)
     assert indexer is None
-    check_level_names(result, [None, None])
+    assert result.names == ["first", "second"]
+    assert [level.name for level in result.levels] == [None, None]
 
 
 def test_reindex_level(idx):

pandas/tests/reshape/test_reshape.py

@@ -617,7 +617,7 @@ def test_reshaping_multi_index_categorical(self):
         df.index.names = ["major", "minor"]
         df["str"] = "foo"
 
-        dti = df.index.levels[0].set_names(["major"])
+        dti = df.index.levels[0].rename("major")
 
         df["category"] = df["str"].astype("category")
         result = df["category"].unstack()

pandas/tests/test_multilevel.py

@@ -996,6 +996,8 @@ def test_frame_group_ops(self, op, level, axis, skipna, sort):
         self.frame.iloc[1, [1, 2]] = np.nan
         self.frame.iloc[7, [0, 1]] = np.nan
 
+        level_name = self.frame.index.names[level]
+
         if axis == 0:
             frame = self.frame
         else:
@@ -1016,12 +1018,12 @@ def aggf(x):
             frame = frame.sort_index(level=level, axis=axis)
 
         # for good measure, groupby detail
-        level_index = frame._get_axis(axis).levels[level]
+        level_index = frame._get_axis(axis).levels[level].rename(level_name)
 
-        tm.assert_index_equal(leftside._get_axis(axis), level_index, check_names=False)
-        tm.assert_index_equal(rightside._get_axis(axis), level_index, check_names=False)
+        tm.assert_index_equal(leftside._get_axis(axis), level_index)
+        tm.assert_index_equal(rightside._get_axis(axis), level_index)
 
-        tm.assert_frame_equal(leftside, rightside, check_names=False)
+        tm.assert_frame_equal(leftside, rightside)
 
     def test_stat_op_corner(self):
         obj = Series([10.0], index=MultiIndex.from_tuples([(2, 3)]))
@@ -1607,12 +1609,15 @@ def test_constructor_with_tz(self):
         )
 
         result = MultiIndex.from_arrays([index, columns])
-        tm.assert_index_equal(result.levels[0], index, check_names=False)
-        tm.assert_index_equal(result.levels[1], columns, check_names=False)
+        assert result.names == ["dt1", "dt2"]
+        # levels don't have names set, so set name of index/columns to None in checks
+        tm.assert_index_equal(result.levels[0], index.rename(None))
+        tm.assert_index_equal(result.levels[1], columns.rename(None))
 
         result = MultiIndex.from_arrays([Series(index), Series(columns)])
-        tm.assert_index_equal(result.levels[0], index, check_names=False)
-        tm.assert_index_equal(result.levels[1], columns, check_names=False)
+        assert result.names == ["dt1", "dt2"]
+        tm.assert_index_equal(result.levels[0], index.rename(None))
+        tm.assert_index_equal(result.levels[1], columns.rename(None))
 
     def test_set_index_datetime(self):
         # GH 3950
@@ -1634,19 +1639,18 @@ def test_set_index_datetime(self):
         df.index = df.index.tz_convert("US/Pacific")
 
         expected = pd.DatetimeIndex(
-            ["2011-07-19 07:00:00", "2011-07-19 08:00:00", "2011-07-19 09:00:00"],
-            name="datetime",
+            ["2011-07-19 07:00:00", "2011-07-19 08:00:00", "2011-07-19 09:00:00"]
         )
         expected = expected.tz_localize("UTC").tz_convert("US/Pacific")
 
         df = df.set_index("label", append=True)
-        tm.assert_index_equal(df.index.levels[0], expected, check_names=False)
+        tm.assert_index_equal(df.index.levels[0], expected)
         tm.assert_index_equal(df.index.levels[1], Index(["a", "b"]))
         assert df.index.names == ["datetime", "label"]
 
         df = df.swaplevel(0, 1)
         tm.assert_index_equal(df.index.levels[0], Index(["a", "b"]))
-        tm.assert_index_equal(df.index.levels[1], expected, check_names=False)
+        tm.assert_index_equal(df.index.levels[1], expected)
         assert df.index.names == ["label", "datetime"]
 
         df = DataFrame(np.random.random(6))