avoid overflow by using higher freq

Author: jorisvandenbossche

asv_bench/benchmarks/frame_methods.py

@@ -583,7 +583,7 @@ class frame_assign_timeseries_index(object):
     goal_time = 0.2
 
     def setup(self):
-        self.idx = date_range('1/1/2000', periods=100000, freq='D')
+        self.idx = date_range('1/1/2000', periods=100000, freq='H')
         self.df = DataFrame(randn(100000, 1), columns=['A'], index=self.idx)
 
     def time_frame_assign_timeseries_index(self):

asv_bench/benchmarks/gil.py

@@ -232,7 +232,7 @@ class nogil_datetime_fields(object):
 
     def setup(self):
         self.N = 100000000
-        self.dti = pd.date_range('1900-01-01', periods=self.N, freq='D')
+        self.dti = pd.date_range('1900-01-01', periods=self.N, freq='T')
         self.period = self.dti.to_period('D')
         if (not have_real_test_parallel):
             raise NotImplementedError

asv_bench/benchmarks/groupby.py

@@ -331,7 +331,7 @@ def setup(self):
 
     def get_test_data(self, ngroups=100, n=100000):
         self.unique_groups = range(self.ngroups)
-        self.arr = np.asarray(np.tile(self.unique_groups, (n / self.ngroups)), dtype=object)
+        self.arr = np.asarray(np.tile(self.unique_groups, int(n / self.ngroups)), dtype=object)
         if (len(self.arr) < n):
             self.arr = np.asarray((list(self.arr) + self.unique_groups[:(n - len(self.arr))]), dtype=object)
         random.shuffle(self.arr)