Reverted 4 test failures from autopep8 commit:

66fc98f

Arising from correcting PEP8 E712, changing == boolean to is boolean.
Possible that these are bugs in the tests?

Author: hayd

pandas/io/tests/test_pytables.py

@@ -1482,7 +1482,7 @@ def test_unique(self):
         df = tm.makeTimeDataFrame()
 
         def check(x, y):
-            self.assert_((np.unique(x) == np.unique(y)).all() is True)
+            self.assert_((np.unique(x) == np.unique(y)).all() == True)
 
         self.store.remove('df')
         self.store.append('df', df)
@@ -1521,21 +1521,21 @@ def test_coordinates(self):
 
         # all
         c = self.store.select_as_coordinates('df')
-        assert((c.values == np.arange(len(df.index))).all() is True)
+        assert((c.values == np.arange(len(df.index))).all() == True)
 
         # get coordinates back & test vs frame
         self.store.remove('df')
 
         df = DataFrame(dict(A=range(5), B=range(5)))
         self.store.append('df', df)
         c = self.store.select_as_coordinates('df', ['index<3'])
-        assert((c.values == np.arange(3)).all() is True)
+        assert((c.values == np.arange(3)).all() == True)
         result = self.store.select('df', where=c)
         expected = df.ix[0:2, :]
         tm.assert_frame_equal(result, expected)
 
         c = self.store.select_as_coordinates('df', ['index>=3', 'index<=4'])
-        assert((c.values == np.arange(2) + 3).all() is True)
+        assert((c.values == np.arange(2) + 3).all() == True)
         result = self.store.select('df', where=c)
         expected = df.ix[3:4, :]
         tm.assert_frame_equal(result, expected)

pandas/tests/test_frame.py

@@ -1096,7 +1096,7 @@ def test_setitem_single_column_mixed_datetime(self):
 
         # allow this syntax
         df.ix['d', :] = nan
-        self.assert_(com.isnull(df.ix['c', :]).all() is False)
+        self.assert_(com.isnull(df.ix['c', :]).all() == False)
 
         # try to set with a list like item
         self.assertRaises(

pandas/tests/test_series.py

@@ -360,20 +360,20 @@ def test_constructor_dtype_datetime64(self):
         import pandas.tslib as tslib
 
         s = Series(tslib.iNaT, dtype='M8[ns]', index=range(5))
-        self.assert_(isnull(s).all() is True)
+        self.assert_(isnull(s).all() == True)
 
         s = Series(tslib.NaT, dtype='M8[ns]', index=range(5))
-        self.assert_(isnull(s).all() is True)
+        self.assert_(isnull(s).all() == True)
 
         s = Series(nan, dtype='M8[ns]', index=range(5))
-        self.assert_(isnull(s).all() is True)
+        self.assert_(isnull(s).all() == True)
 
         s = Series([datetime(2001, 1, 2, 0, 0), tslib.iNaT], dtype='M8[ns]')
-        self.assert_(isnull(s[1]) is True)
+        self.assert_(isnull(s[1]) == True)
         self.assert_(s.dtype == 'M8[ns]')
 
         s = Series([datetime(2001, 1, 2, 0, 0), nan], dtype='M8[ns]')
-        self.assert_(isnull(s[1]) is True)
+        self.assert_(isnull(s[1]) == True)
         self.assert_(s.dtype == 'M8[ns]')
 
     def test_constructor_dict(self):