TST: asv benchmarks for Series constructors

asv_bench/benchmarks/ctors.py

@@ -15,16 +15,17 @@ def setup(self):
 
         self.data = np.random.randn(N)
         self.index = Index(np.arange(N))
+        self.list_data = list(self.data)
+        self.dict_data = {l: v for l, v in zip(self.data, self.index)}
+        self.list_of_lists = [[i, -i] for i in self.data]
+        self.almost_list_of_lists = self.list_of_lists[:-1] + [None]
 
         self.s = Series([Timestamp('20110101'), Timestamp('20120101'),
                          Timestamp('20130101')] * N * 10)
 
     def time_frame_from_ndarray(self):
         DataFrame(self.arr)
 
-    def time_series_from_ndarray(self):
-        Series(self.data, index=self.index)
-
     def time_index_from_array_string(self):
         Index(self.arr_str)
 
@@ -33,3 +34,21 @@ def time_dtindex_from_series(self):
 
     def time_dtindex_from_index_with_series(self):
         Index(self.s)
+
+    def time_series_from_ndarray(self):
+        Series(self.data, index=self.index)
+
+    def time_series_from_list(self):
+        Series(self.list_data, index=self.index)
+
+    def time_series_from_dict(self):
+        Series(self.dict_data)
+
+    def time_series_from_dict_and_index(self):
+        Series(self.dict_data, index=self.index)
+
+    def time_series_from_list_of_lists(self):
+        Series(self.list_of_lists, index=self.index)
+
+    def time_series_from_almost_list_of_lists(self):
+        Series(self.almost_list_of_lists, index=self.index)