flake8 fixes.

pandas/core/generic.py

@@ -5033,14 +5033,13 @@ def mask(self, cond, other=np.nan, inplace=False, axis=None, level=None,
 
     @Appender(_shared_docs['shift'] % _shared_doc_kwargs)
     def shift(self, periods=1, freq=None, axis=0, fill_value=np.nan):
-        import pdb; pdb.set_trace()
-
         if periods == 0:
             return self
 
         block_axis = self._get_block_manager_axis(axis)
         if freq is None:
-            new_data = self._data.shift(periods=periods, axis=block_axis, fill_value=fill_value)
+            new_data = self._data.shift(periods=periods, axis=block_axis,
+                                        fill_value=fill_value)
         else:
             return self.tshift(periods, freq)
 

pandas/core/internals.py

@@ -1065,7 +1065,8 @@ def shift(self, periods, axis=0, fill_value=np.nan, mgr=None):
 
         # convert integer to float if necessary. need to do a lot more than
         # that, handle boolean etc also
-        new_values, fill_value = _maybe_upcast(self.values, fill_value=fill_value)
+        new_values, fill_value = _maybe_upcast(self.values,
+                                               fill_value=fill_value)
 
         # make sure array sent to np.roll is c_contiguous
         f_ordered = new_values.flags.f_contiguous

pandas/core/series.py

@@ -2383,8 +2383,8 @@ def fillna(self, value=None, method=None, axis=None, inplace=False,
 
     @Appender(generic._shared_docs['shift'] % _shared_doc_kwargs)
     def shift(self, periods=1, freq=None, axis=0, fill_value=np.nan):
-        import pdb; pdb.set_trace()
-        return super(Series, self).shift(periods=periods, freq=freq, axis=axis, fill_value=fill_value)
+        return super(Series, self).shift(periods=periods, freq=freq, axis=axis,
+                                         fill_value=fill_value)
 
     def reindex_axis(self, labels, axis=0, **kwargs):
         """ for compatibility with higher dims """