pep

Author: jreback

pandas/indexes/interval.py

@@ -517,7 +517,8 @@ def get_indexer(self, target, method=None, limit=None, tolerance=None):
                 'for IntervalIndex indexers')
 
         if not self.is_unique:
-            indexer, missing = self._engine.get_indexer_non_unique(target.values)
+            indexer, missing = self._engine.get_indexer_non_unique(
+                target.values)
         else:
             indexer = self._engine.get_indexer(target.values)
         return indexer

pandas/tests/groupby/test_categorical.py

@@ -489,7 +489,8 @@ def test_groupby_categorical_two_columns(self):
         res = groups_double_key.agg('mean')
         nan = np.nan
         idx = MultiIndex.from_product(
-            [Categorical([Interval(1, 2), Interval(2, 3), Interval(3, 6)], ordered=True),
+            [Categorical([Interval(1, 2), Interval(2, 3),
+                          Interval(3, 6)], ordered=True),
              [1, 2, 3, 4]],
             names=["cat", "C2"])
         exp = DataFrame({"C1": [nan, nan, nan, nan, 3, 3,

pandas/types/cast.py

@@ -498,6 +498,7 @@ def _coerce_extension_to_embed(value):
 
     return value
 
+
 def _astype_nansafe(arr, dtype, copy=True):
     """ return a view if copy is False, but
         need to be very careful as the result shape could change! """