lint

Author: chris-b1

asv_bench/benchmarks/groupby.py

@@ -547,6 +547,7 @@ def setup(self):
     def time_groupby_sum(self):
         self.df.groupby(['a'])['b'].sum()
 
+
 class groupby_period(object):
     # GH 14338
     goal_time = 0.2

pandas/core/algorithms.py

@@ -14,7 +14,6 @@
                                  is_categorical_dtype,
                                  is_extension_type,
                                  is_datetimetz,
-                                 is_period,
                                  is_period_dtype,
                                  is_period_arraylike,
                                  is_float_dtype,
@@ -288,7 +287,6 @@ def factorize(values, sort=False, order=None, na_sentinel=-1, size_hint=None):
     """
     from pandas import Index, Series, DatetimeIndex, PeriodIndex
 
-
     if is_datetimetz(values):
         values = DatetimeIndex(values)
 
@@ -299,7 +297,6 @@ def factorize(values, sort=False, order=None, na_sentinel=-1, size_hint=None):
     else:
         vals = np.asarray(values)
 
-
     is_datetime = is_datetime64_dtype(vals)
     is_timedelta = is_timedelta64_dtype(vals)
     (hash_klass, vec_klass), vals = _get_data_algo(vals, _hashtables)