Removing .values and formating code PEP8

Author: Carlos Souza

pandas/core/generic.py

@@ -3972,7 +3972,7 @@ def asof(self, where, subset=None):
             where = Index(where) if is_list else Index([where])
 
         nulls = self.isnull() if is_series else self[subset].isnull().any(1)
-        if nulls.values.all():
+        if nulls.all():
             if is_series:
                 return pd.Series(np.nan, index=where)
             else:

pandas/tests/frame/test_asof.py

@@ -10,15 +10,13 @@
 
 
 class TestFrameAsof(TestData, tm.TestCase):
-
     def setUp(self):
         self.N = N = 50
         self.rng = date_range('1/1/1990', periods=N, freq='53s')
         self.df = DataFrame({'A': np.arange(N), 'B': np.arange(N)},
                             index=self.rng)
 
     def test_basic(self):
-
         df = self.df.copy()
         df.loc[15:30, 'A'] = np.nan
         dates = date_range('1/1/1990', periods=self.N * 3,
@@ -38,7 +36,6 @@ def test_basic(self):
         self.assertTrue((rs == 14).all(1).all())
 
     def test_subset(self):
-
         N = 10
         rng = date_range('1/1/1990', periods=N, freq='53s')
         df = DataFrame({'A': np.arange(N), 'B': np.arange(N)},
@@ -96,7 +93,8 @@ def test_all_nans(self):
 
         # testing multiple columns
         dates = date_range('1/1/1990', periods=self.N * 3, freq='25s')
-        result = DataFrame(np.nan, index=self.rng, columns=['A', 'B', 'C']).asof(dates)
+        result = DataFrame(np.nan, index=self.rng,
+                           columns=['A', 'B', 'C']).asof(dates)
         expected = DataFrame(np.nan, index=dates, columns=['A', 'B', 'C'])
         tm.assert_frame_equal(result, expected)