Merge pull request pandas-dev#10928 from qwhelan/asv_update

Updates for asv suite

asv_bench/asv.conf.json

@@ -18,15 +18,15 @@
     // If missing or the empty string, the tool will be automatically
     // determined by looking for tools on the PATH environment
     // variable.
-    "environment_type": "conda",
+    "environment_type": "",
 
     // the base URL to show a commit for the project.
     "show_commit_url": "https://github.com/pydata/pandas/commit/",
 
     // The Pythons you'd like to test against.  If not provided, defaults
     // to the current version of Python used to run `asv`.
     // "pythons": ["2.7", "3.4"],
-    "pythons": ["2.7"],
+    "pythons": ["2.7", "3.4"],
 
     // The matrix of dependencies to test.  Each key is the name of a
     // package (in PyPI) and the values are version numbers.  An empty
@@ -41,7 +41,10 @@
         "sqlalchemy": [],
         "scipy": [],
         "numexpr": [],
-        "pytables": [],
+        "tables": [],
+        "openpyxl": [],
+        "xlrd": [],
+        "xlwt": []
     },
 
     // The directory (relative to the current directory) that benchmarks are

asv_bench/benchmarks/attrs_caching.py

@@ -1,4 +1,4 @@
-from pandas_vb_common import *
+from .pandas_vb_common import *
 
 
 class getattr_dataframe_index(object):

asv_bench/benchmarks/binary_ops.py

@@ -1,4 +1,4 @@
-from pandas_vb_common import *
+from .pandas_vb_common import *
 import pandas.computation.expressions as expr
 
 

asv_bench/benchmarks/categoricals.py

@@ -1,4 +1,4 @@
-from pandas_vb_common import *
+from .pandas_vb_common import *
 
 
 class concat_categorical(object):

asv_bench/benchmarks/ctors.py

@@ -1,4 +1,4 @@
-from pandas_vb_common import *
+from .pandas_vb_common import *
 
 
 class frame_constructor_ndarray(object):

asv_bench/benchmarks/eval.py

@@ -1,6 +1,6 @@
-from pandas_vb_common import *
-import pandas.computation.expressions as expr
+from .pandas_vb_common import *
 import pandas as pd
+import pandas.computation.expressions as expr
 
 
 class eval_frame_add_all_threads(object):