CLN: ASV index_object benchmark (pandas-dev#18758)

Author: mroeschke

asv_bench/benchmarks/ctors.py

@@ -1,7 +1,8 @@
 import numpy as np
-from pandas import Series, Index, DatetimeIndex, Timestamp
+import pandas.util.testing as tm
+from pandas import Series, Index, DatetimeIndex, Timestamp, MultiIndex
 
-from .pandas_vb_common import setup # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class SeriesConstructors(object):
@@ -21,7 +22,6 @@ class SeriesConstructors(object):
 
     def setup(self, data_fmt, with_index):
         N = 10**4
-        np.random.seed(1234)
         arr = np.random.randn(N)
         self.data = data_fmt(arr)
         self.index = np.arange(N) if with_index else None
@@ -35,21 +35,32 @@ class SeriesDtypesConstructors(object):
     goal_time = 0.2
 
     def setup(self):
-        N = 10**2
+        N = 10**4
         self.arr = np.random.randn(N, N)
         self.arr_str = np.array(['foo', 'bar', 'baz'], dtype=object)
-
-        self.data = np.random.randn(N)
-        self.index = Index(np.arange(N))
-
         self.s = Series([Timestamp('20110101'), Timestamp('20120101'),
                          Timestamp('20130101')] * N * 10)
 
     def time_index_from_array_string(self):
         Index(self.arr_str)
 
+    def time_index_from_array_floats(self):
+        Index(self.arr)
+
     def time_dtindex_from_series(self):
         DatetimeIndex(self.s)
 
     def time_dtindex_from_index_with_series(self):
         Index(self.s)
+
+
+class MultiIndexConstructor(object):
+
+    goal_time = 0.2
+
+    def setup(self):
+        N = 10**4
+        self.iterables = [tm.makeStringIndex(N), range(20)]
+
+    def time_multiindex_from_iterables(self):
+        MultiIndex.from_product(self.iterables)