Remove rolling_* from gil.py

Author: mroeschke

asv_bench/benchmarks/gil.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (DataFrame, Series, rolling_median, rolling_mean,
-                    rolling_min, rolling_max, rolling_var, rolling_skew,
-                    rolling_kurt, rolling_std, read_csv, factorize, date_range)
+from pandas import DataFrame, Series, read_csv, factorize, date_range
 from pandas.core.algorithms import take_1d
 try:
     from pandas._libs import algos
@@ -171,44 +169,20 @@ def run(period):
 class ParallelRolling(object):
 
     goal_time = 0.2
-    params = ['rolling_median', 'rolling_mean', 'rolling_min', 'rolling_max',
-              'rolling_var', 'rolling_skew', 'rolling_kurt', 'rolling_std']
+    params = ['median', 'mean', 'min', 'max', 'var', 'skew', 'kurt', 'std']
     param_names = ['method']
 
     def setup(self, method):
         if not have_real_test_parallel:
             raise NotImplementedError
         win = 100
         arr = np.random.rand(100000)
-        if hasattr(DataFrame, 'rolling'):
-            rolling = {'rolling_median': 'median',
-                       'rolling_mean': 'mean',
-                       'rolling_min': 'min',
-                       'rolling_max': 'max',
-                       'rolling_var': 'var',
-                       'rolling_skew': 'skew',
-                       'rolling_kurt': 'kurt',
-                       'rolling_std': 'std'}
-            df = DataFrame(arr).rolling(win)
-
-            @test_parallel(num_threads=2)
-            def parallel_rolling():
-                getattr(df, rolling[method])()
-            self.parallel_rolling = parallel_rolling
-        else:
-            rolling = {'rolling_median': rolling_median,
-                       'rolling_mean': rolling_mean,
-                       'rolling_min': rolling_min,
-                       'rolling_max': rolling_max,
-                       'rolling_var': rolling_var,
-                       'rolling_skew': rolling_skew,
-                       'rolling_kurt': rolling_kurt,
-                       'rolling_std': rolling_std}
-
-            @test_parallel(num_threads=2)
-            def parallel_rolling():
-                rolling[method](arr, win)
-            self.parallel_rolling = parallel_rolling
+        df = DataFrame(arr).rolling(win)
+
+        @test_parallel(num_threads=2)
+        def parallel_rolling():
+            getattr(df, method)()
+        self.parallel_rolling = parallel_rolling
 
     def time_rolling(self, method):
         self.parallel_rolling()