PERF: GH15498 - pep8 changes

Author: jeet63

asv_bench/benchmarks/categoricals.py

@@ -76,15 +76,18 @@ def setup(self):
 
         dt = pd.util.testing.makeDateIndex(n)
         self.s2 = pd.Series(dt).astype('category', categories=dt)
-        self.s2o = pd.Series(dt).astype('category', categories=dt, ordered=True)
+        self.s2o = pd.Series(dt).astype('category', categories=dt,
+                                        ordered=True)
 
         fl = pd.util.testing.makeFloatIndex(n)
         self.s3 = pd.Series(fl).astype('category', categories=fl)
-        self.s3o = pd.Series(fl).astype('category', categories=fl, ordered=True)
+        self.s3o = pd.Series(fl).astype('category', categories=fl,
+                                        ordered=True)
 
         intg = pd.util.testing.makeIntIndex(n)
         self.s4 = pd.Series(intg).astype('category', categories=intg)
-        self.s4o = pd.Series(intg).astype('category', categories=intg, ordered=True)
+        self.s4o = pd.Series(intg).astype('category', categories=intg,
+                                          ordered=True)
 
     def time_rank_string_unordered(self):
         self.s1.rank()

pandas/tests/series/test_analytics.py

@@ -1067,7 +1067,8 @@ def test_rank_categorical(self):
             ['first', 'second', 'third', 'fourth', 'fifth', 'sixth']
         ).astype(
             'category',
-            categories=['first', 'second', 'third', 'fourth', 'fifth', 'sixth'],
+            categories=['first', 'second', 'third',
+                        'fourth', 'fifth', 'sixth'],
             ordered=True
         )
         assert_series_equal(ordered.rank(), exp)
@@ -1078,7 +1079,8 @@ def test_rank_categorical(self):
             ['first', 'second', 'third', 'fourth', 'fifth', 'sixth'],
         ).astype(
             'category',
-            categories=['first', 'second', 'third', 'fourth', 'fifth', 'sixth'],
+            categories=['first', 'second', 'third',
+                        'fourth', 'fifth', 'sixth'],
             ordered=False
         )
         exp_unordered = pd.Series([2., 4., 6., 3., 1., 5.])