pep

Author: jackgoldsmith4

pandas/tests/indexes/multi/test_setops.py

@@ -545,12 +545,13 @@ def test_union_duplicates(index, request):
     result = mi2.union(mi1)
     tm.assert_index_equal(result, mi2.sort_values())
 
+
 @pytest.mark.parametrize(
     "levels1, levels2, codes1, codes2, names",
     [
         ([['2018', 'a', 'c', 'e', 'num', 'oan', 'vol'], [1970, '']],
-        [['e', 'num', 'oan', 'vol', 'year'], ['']], [[3, 6, 4, ], [1, 1, 1]],
-        [[3, 1, 4, 1, 0], [0, 0, 0, 0, 0]], ['variable', 'cit_year']),
+            [['e', 'num', 'oan', 'vol', 'year'], ['']], [[3, 6, 4, ], [1, 1, 1]],
+            [[3, 1, 4, 1, 0], [0, 0, 0, 0, 0]], ['variable', 'cit_year']),
     ],
 )
 def test_intersection_lexsort_depth(levels1, levels2, codes1, codes2, names):

pandas/tests/indexing/test_loc.py

@@ -2881,8 +2881,11 @@ def test_loc_set_int_dtype():
 
 def test_loc_periodindex_3_levels():
     # GH#24091
-    p_index = PeriodIndex(["20181101 1100", "20181101 1200", "20181102 1300", "20181102 1400"], name='datetime', freq="B")
-    mi_series = DataFrame([["A", "B", 1.0], ["A", "C", 2.0], ["Z", "Q", 3.0], ["W", "F", 4.0]], index=p_index, columns=["ONE", "TWO", "VALUES"])
+    p_index = PeriodIndex(["20181101 1100", "20181101 1200", "20181102 1300",
+                          "20181102 1400"], name='datetime', freq="B")
+    mi_series = DataFrame([["A", "B", 1.0], ["A", "C", 2.0], ["Z", "Q", 3.0],
+                          ["W", "F", 4.0]], index=p_index,
+                          columns=["ONE", "TWO", "VALUES"])
     mi_series = mi_series.set_index(["ONE", "TWO"], append=True)["VALUES"]
     assert mi_series.loc[(p_index[0], "A", "B")] == 1.0