PEP fixes

Author: jreback

pandas/rpy/__init__.py

@@ -2,6 +2,8 @@
 # GH9602
 # deprecate rpy to instead directly use rpy2
 
+# flake8: noqa
+
 import warnings
 warnings.warn("The pandas.rpy module is deprecated and will be "
               "removed in a future version. We refer to external packages "

pandas/rpy/base.py

@@ -1,3 +1,5 @@
+# flake8: noqa
+
 import pandas.rpy.util as util
 
 

pandas/rpy/common.py

@@ -2,6 +2,9 @@
 Utilities for making working with rpy2 more user- and
 developer-friendly.
 """
+
+# flake8: noqa
+
 from __future__ import print_function
 
 from distutils.version import LooseVersion

pandas/rpy/tests/test_common.py

@@ -2,6 +2,8 @@
 Testing that functions from rpy work as expected
 """
 
+# flake8: noqa
+
 import pandas as pd
 import numpy as np
 import unittest

pandas/rpy/vars.py

@@ -1,3 +1,5 @@
+# flake8: noqa
+
 import pandas.rpy.util as util
 
 

pandas/sandbox/qtpandas.py

@@ -4,6 +4,8 @@
 @author: Jev Kuznetsov
 '''
 
+# flake8: noqa
+
 # GH9615
 
 import warnings

pandas/tests/frame/test_analytics.py

@@ -244,17 +244,17 @@ def test_bool_describe_in_mixed_frame(self):
         # Integer data are included in .describe() output,
         # Boolean and string data are not.
         result = df.describe()
-        expected = DataFrame({'int_data' : [5, 30, df.int_data.std(),
-                                            10, 20, 30, 40, 50]},
+        expected = DataFrame({'int_data': [5, 30, df.int_data.std(),
+                                           10, 20, 30, 40, 50]},
                              index=['count', 'mean', 'std', 'min', '25%',
                                     '50%', '75%', 'max'])
         assert_frame_equal(result, expected)
 
         # Top value is a boolean value that is False
         result = df.describe(include=['bool'])
 
-        expected = DataFrame({'bool_data' : [5, 2, False, 3]},
-                              index=['count', 'unique', 'top', 'freq'])
+        expected = DataFrame({'bool_data': [5, 2, False, 3]},
+                             index=['count', 'unique', 'top', 'freq'])
         assert_frame_equal(result, expected)
 
     def test_reduce_mixed_frame(self):