CLN: Multiindex tests

pandas/tests/indexes/multi/test_constructors.py

@@ -189,37 +189,24 @@ def test_from_arrays_tuples(idx):
     tm.assert_index_equal(result, idx)
 
 
-def test_from_arrays_index_series_datetimetz():
-    idx1 = date_range("2015-01-01 10:00", freq="D", periods=3, tz="US/Eastern")
-    idx2 = date_range("2015-01-01 10:00", freq="H", periods=3, tz="Asia/Tokyo")
-    result = MultiIndex.from_arrays([idx1, idx2])
-    tm.assert_index_equal(result.get_level_values(0), idx1)
-    tm.assert_index_equal(result.get_level_values(1), idx2)
-
-    result2 = MultiIndex.from_arrays([Series(idx1), Series(idx2)])
-    tm.assert_index_equal(result2.get_level_values(0), idx1)
-    tm.assert_index_equal(result2.get_level_values(1), idx2)
-
-    tm.assert_index_equal(result, result2)
-
-
-def test_from_arrays_index_series_timedelta():
-    idx1 = pd.timedelta_range("1 days", freq="D", periods=3)
-    idx2 = pd.timedelta_range("2 hours", freq="H", periods=3)
-    result = MultiIndex.from_arrays([idx1, idx2])
-    tm.assert_index_equal(result.get_level_values(0), idx1)
-    tm.assert_index_equal(result.get_level_values(1), idx2)
-
-    result2 = MultiIndex.from_arrays([Series(idx1), Series(idx2)])
-    tm.assert_index_equal(result2.get_level_values(0), idx1)
-    tm.assert_index_equal(result2.get_level_values(1), idx2)
-
-    tm.assert_index_equal(result, result2)
-
-
-def test_from_arrays_index_series_period():
-    idx1 = pd.period_range("2011-01-01", freq="D", periods=3)
-    idx2 = pd.period_range("2015-01-01", freq="H", periods=3)
+@pytest.mark.parametrize(
+    ("idx1", "idx2"),
+    [
+        (
+            pd.period_range("2011-01-01", freq="D", periods=3),
+            pd.period_range("2015-01-01", freq="H", periods=3),
+        ),
+        (
+            date_range("2015-01-01 10:00", freq="D", periods=3, tz="US/Eastern"),
+            date_range("2015-01-01 10:00", freq="H", periods=3, tz="Asia/Tokyo"),
+        ),
+        (
+            pd.timedelta_range("1 days", freq="D", periods=3),
+            pd.timedelta_range("2 hours", freq="H", periods=3),
+        ),
+    ],
+)
+def test_from_arrays_index_series_period_datetimetz_and_timedelta(idx1, idx2):
     result = MultiIndex.from_arrays([idx1, idx2])
     tm.assert_index_equal(result.get_level_values(0), idx1)
     tm.assert_index_equal(result.get_level_values(1), idx2)

pandas/tests/indexes/multi/test_copy.py

@@ -79,10 +79,7 @@ def test_copy_method_kwargs(deep, kwarg, value):
         names=["first", "second"],
     )
     idx_copy = idx.copy(**{kwarg: value, "deep": deep})
-    if kwarg == "names":
-        assert getattr(idx_copy, kwarg) == value
-    else:
-        assert [list(i) for i in getattr(idx_copy, kwarg)] == value
+    assert getattr(idx_copy, kwarg) == value
 
 
 @pytest.mark.parametrize("deep", [True, False])

pandas/tests/indexes/multi/test_duplicates.py

@@ -68,6 +68,7 @@ def test_unique_level(idx, level):
     mi = MultiIndex.from_arrays([[], []], names=["first", "second"])
     result = mi.unique(level=level)
     expected = mi.get_level_values(level)
+    tm.assert_index_equal(result, expected)
 
 
 @pytest.mark.parametrize("dropna", [True, False])

pandas/tests/indexes/multi/test_integrity.py

@@ -137,7 +137,7 @@ def test_dims():
     pass
 
 
-def take_invalid_kwargs():
+def test_take_invalid_kwargs():
     vals = [["A", "B"], [pd.Timestamp("2011-01-01"), pd.Timestamp("2011-01-02")]]
     idx = MultiIndex.from_product(vals, names=["str", "dt"])
     indices = [1, 2]