Clean-up constructor benchmarks

asv_bench/benchmarks/ctors.py

@@ -1,52 +1,30 @@
 from .pandas_vb_common import *
 
 
-class frame_constructor_ndarray(object):
+class Constructors(object):
     goal_time = 0.2
 
     def setup(self):
         self.arr = np.random.randn(100, 100)
+        self.arr_str = np.array(['foo', 'bar', 'baz'], dtype=object)
 
-    def time_frame_constructor_ndarray(self):
-        DataFrame(self.arr)
-
-
-class ctor_index_array_string(object):
-    goal_time = 0.2
-
-    def setup(self):
-        self.data = np.array(['foo', 'bar', 'baz'], dtype=object)
-
-    def time_ctor_index_array_string(self):
-        Index(self.data)
-
-
-class series_constructor_ndarray(object):
-    goal_time = 0.2
-
-    def setup(self):
         self.data = np.random.randn(100)
         self.index = Index(np.arange(100))
 
-    def time_series_constructor_ndarray(self):
-        Series(self.data, index=self.index)
+        self.s = Series(([Timestamp('20110101'), Timestamp('20120101'),
+                          Timestamp('20130101')] * 1000))
 
+    def time_frame_from_ndarray(self):
+        DataFrame(self.arr)
 
-class dtindex_from_series_ctor(object):
-    goal_time = 0.2
+    def time_series_from_ndarray(self):
+        pd.Series(self.data, index=self.index)
 
-    def setup(self):
-        self.s = Series(([Timestamp('20110101'), Timestamp('20120101'), Timestamp('20130101')] * 1000))
+    def time_index_from_array_string(self):
+        Index(self.arr_str)
 
-    def time_dtindex_from_series_ctor(self):
+    def time_dtindex_from_series(self):
         DatetimeIndex(self.s)
 
-
-class index_from_series_ctor(object):
-    goal_time = 0.2
-
-    def setup(self):
-        self.s = Series(([Timestamp('20110101'), Timestamp('20120101'), Timestamp('20130101')] * 1000))
-
-    def time_index_from_series_ctor(self):
+    def time_dtindex_from_series2(self):
         Index(self.s)