TST/STYLE: remove multiprocess nose flags and slight PEP fixes

pandas/__init__.py

@@ -15,7 +15,8 @@
         missing_dependencies.append(dependency)
 
 if missing_dependencies:
-    raise ImportError("Missing required dependencies {0}".format(missing_dependencies))
+    raise ImportError(
+        "Missing required dependencies {0}".format(missing_dependencies))
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
@@ -24,7 +25,8 @@
 try:
     from pandas import hashtable, tslib, lib
 except ImportError as e:  # pragma: no cover
-    module = str(e).lstrip('cannot import name ')  # hack but overkill to use re
+    # hack but overkill to use re
+    module = str(e).lstrip('cannot import name ')
     raise ImportError("C extension: {0} not built. If you want to import "
                       "pandas from the source directory, you may need to run "
                       "'python setup.py build_ext --inplace --force' to build "
@@ -61,5 +63,5 @@
 # use the closest tagged version if possible
 from ._version import get_versions
 v = get_versions()
-__version__ = v.get('closest-tag',v['version'])
+__version__ = v.get('closest-tag', v['version'])
 del get_versions, v

pandas/_version.py

@@ -157,7 +157,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # "stabilization", as well as "HEAD" and "master".
         tags = set([r for r in refs if re.search(r'\d', r)])
         if verbose:
-            print("discarding '%s', no digits" % ",".join(refs-tags))
+            print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
         print("likely tags: %s" % ",".join(sorted(tags)))
     for ref in sorted(tags):

pandas/api/tests/test_api.py

@@ -8,8 +8,6 @@
 from pandas.api import types
 from pandas.util import testing as tm
 
-_multiprocess_can_split_ = True
-
 
 class Base(object):
 

pandas/compat/__init__.py

@@ -79,25 +79,25 @@ def signature(f):
         args = [
             p.name for p in sig.parameters.values()
             if p.kind == inspect.Parameter.POSITIONAL_OR_KEYWORD
-            ]
+        ]
         varargs = [
             p.name for p in sig.parameters.values()
             if p.kind == inspect.Parameter.VAR_POSITIONAL
-            ]
+        ]
         varargs = varargs[0] if varargs else None
         keywords = [
             p.name for p in sig.parameters.values()
             if p.kind == inspect.Parameter.VAR_KEYWORD
-            ]
+        ]
         keywords = keywords[0] if keywords else None
         defaults = [
             p.default for p in sig.parameters.values()
             if p.kind == inspect.Parameter.POSITIONAL_OR_KEYWORD
             and p.default is not p.empty
-            ] or None
-        argspec = namedtuple('Signature',['args','defaults',
-                                'varargs','keywords'])
-        return argspec(args,defaults,varargs,keywords)
+        ] or None
+        argspec = namedtuple('Signature', ['args', 'defaults',
+                                           'varargs', 'keywords'])
+        return argspec(args, defaults, varargs, keywords)
 
     # have to explicitly put builtins into the namespace
     range = range
@@ -170,7 +170,7 @@ def iterkeys(obj, **kw):
     def itervalues(obj, **kw):
         return obj.itervalues(**kw)
 
-    next = lambda it : it.next()
+    next = lambda it: it.next()
 else:
     def iteritems(obj, **kw):
         return iter(obj.items(**kw))
@@ -183,6 +183,7 @@ def itervalues(obj, **kw):
 
     next = next
 
+
 def bind_method(cls, name, func):
     """Bind a method to class, python 2 and python 3 compatible.
 
@@ -307,7 +308,8 @@ def set_function_name(f, name, cls):
         f.__name__ = name
         return f
 
-    class ResourceWarning(Warning): pass
+    class ResourceWarning(Warning):
+        pass
 
 string_and_binary_types = string_types + (binary_type,)
 
@@ -398,14 +400,18 @@ def is_platform_little_endian():
     """ am I little endian """
     return sys.byteorder == 'little'
 
+
 def is_platform_windows():
     return sys.platform == 'win32' or sys.platform == 'cygwin'
 
+
 def is_platform_linux():
     return sys.platform == 'linux2'
 
+
 def is_platform_mac():
     return sys.platform == 'darwin'
 
+
 def is_platform_32bit():
     return struct.calcsize("P") * 8 < 64

pandas/compat/chainmap.py

@@ -5,6 +5,7 @@
 
 
 class DeepChainMap(ChainMap):
+
     def __setitem__(self, key, value):
         for mapping in self.maps:
             if key in mapping:

pandas/compat/numpy/function.py

@@ -27,6 +27,7 @@
 
 
 class CompatValidator(object):
+
     def __init__(self, defaults, fname=None, method=None,
                  max_fname_arg_count=None):
         self.fname = fname

pandas/compat/pickle_compat.py

@@ -9,6 +9,7 @@
 from pandas import compat, Index
 from pandas.compat import u, string_types
 
+
 def load_reduce(self):
     stack = self.stack
     args = stack.pop()
@@ -34,7 +35,7 @@ def load_reduce(self):
                 pass
 
         # try to reencode the arguments
-        if getattr(self,'encoding',None) is not None:
+        if getattr(self, 'encoding', None) is not None:
             args = tuple([arg.encode(self.encoding)
                           if isinstance(arg, string_types)
                           else arg for arg in args])
@@ -44,7 +45,7 @@ def load_reduce(self):
             except:
                 pass
 
-        if getattr(self,'is_verbose',None):
+        if getattr(self, 'is_verbose', None):
             print(sys.exc_info())
             print(func, args)
         raise
@@ -61,6 +62,7 @@ class Unpickler(pkl.Unpickler):
 Unpickler.dispatch = copy.copy(Unpickler.dispatch)
 Unpickler.dispatch[pkl.REDUCE[0]] = load_reduce
 
+
 def load_newobj(self):
     args = self.stack.pop()
     cls = self.stack[-1]
@@ -75,6 +77,8 @@ def load_newobj(self):
 Unpickler.dispatch[pkl.NEWOBJ[0]] = load_newobj
 
 # py3 compat
+
+
 def load_newobj_ex(self):
     kwargs = self.stack.pop()
     args = self.stack.pop()
@@ -91,6 +95,7 @@ def load_newobj_ex(self):
 except:
     pass
 
+
 def load(fh, encoding=None, compat=False, is_verbose=False):
     """load a pickle, with a provided encoding
 

pandas/computation/tests/test_eval.py

@@ -201,7 +201,7 @@ def check_complex_cmp_op(self, lhs, cmp1, rhs, binop, cmp2):
                                                                 binop=binop,
                                                                 cmp2=cmp2)
         scalar_with_in_notin = (is_scalar(rhs) and (cmp1 in skip_these or
-                                                      cmp2 in skip_these))
+                                                    cmp2 in skip_these))
         if scalar_with_in_notin:
             with tm.assertRaises(TypeError):
                 pd.eval(ex, engine=self.engine, parser=self.parser)
@@ -702,7 +702,6 @@ def test_float_truncation(self):
         tm.assert_frame_equal(expected, result)
 
 
-
 class TestEvalNumexprPython(TestEvalNumexprPandas):
 
     @classmethod
@@ -782,6 +781,7 @@ def check_chained_cmp_op(self, lhs, cmp1, mid, cmp2, rhs):
 # typecasting rules consistency with python
 # issue #12388
 
+
 class TestTypeCasting(object):
 
     def check_binop_typecasting(self, engine, parser, op, dt):
@@ -803,7 +803,8 @@ def test_binop_typecasting(self):
         for engine, parser in ENGINES_PARSERS:
             for op in ['+', '-', '*', '**', '/']:
                 # maybe someday... numexpr has too many upcasting rules now
-                #for dt in chain(*(np.sctypes[x] for x in ['uint', 'int', 'float'])):
+                # for dt in chain(*(np.sctypes[x] for x in ['uint', 'int',
+                # 'float'])):
                 for dt in [np.float32, np.float64]:
                     yield self.check_binop_typecasting, engine, parser, op, dt
 
@@ -1969,10 +1970,11 @@ def test_negate_lt_eq_le():
     for engine, parser in product(_engines, expr._parsers):
         yield check_negate_lt_eq_le, engine, parser
 
+
 class TestValidate(tm.TestCase):
 
     def test_validate_bool_args(self):
-        invalid_values = [1, "True", [1,2,3], 5.0]
+        invalid_values = [1, "True", [1, 2, 3], 5.0]
 
         for value in invalid_values:
             with self.assertRaises(ValueError):

pandas/core/base.py

@@ -230,6 +230,7 @@ def f(self, *args, **kwargs):
 class AccessorProperty(object):
     """Descriptor for implementing accessor properties like Series.str
     """
+
     def __init__(self, accessor_cls, construct_accessor):
         self.accessor_cls = accessor_cls
         self.construct_accessor = construct_accessor
@@ -651,6 +652,7 @@ class GroupByMixin(object):
     @staticmethod
     def _dispatch(name, *args, **kwargs):
         """ dispatch to apply """
+
         def outer(self, *args, **kwargs):
             def f(x):
                 x = self._shallow_copy(x, groupby=self._groupby)

pandas/core/config.py

@@ -215,6 +215,7 @@ def __dir__(self):
 
 
 class CallableDynamicDoc(object):
+
     def __init__(self, func, doc_tmpl):
         self.__doc_tmpl__ = doc_tmpl
         self.__func__ = func

pandas/core/frame.py

@@ -5326,9 +5326,10 @@ def isin(self, values):
                                 "allowed to be passed to DataFrame.isin(), "
                                 "you passed a "
                                 "{0!r}".format(type(values).__name__))
-            return DataFrame(lib.ismember(self.values.ravel(),
+            return DataFrame(
+                lib.ismember(self.values.ravel(),
                              set(values)).reshape(self.shape), self.index,
-                             self.columns)
+                self.columns)
 
     # ----------------------------------------------------------------------
     # Deprecated stuff

pandas/core/indexing.py

@@ -42,6 +42,7 @@ def get_indexers_list():
 
 # the public IndexSlicerMaker
 class _IndexSlice(object):
+
     def __getitem__(self, arg):
         return arg
 

pandas/core/internals.py

@@ -5122,6 +5122,7 @@ def trim_join_unit(join_unit, length):
 
 
 class JoinUnit(object):
+
     def __init__(self, block, shape, indexers=None):
         # Passing shape explicitly is required for cases when block is None.
         if indexers is None:

pandas/core/nanops.py

@@ -26,6 +26,7 @@
 
 
 class disallow(object):
+
     def __init__(self, *dtypes):
         super(disallow, self).__init__()
         self.dtypes = tuple(np.dtype(dtype).type for dtype in dtypes)
@@ -58,6 +59,7 @@ def _f(*args, **kwargs):
 
 
 class bottleneck_switch(object):
+
     def __init__(self, zero_value=None, **kwargs):
         self.zero_value = zero_value
         self.kwargs = kwargs

pandas/core/panel.py

@@ -1560,6 +1560,7 @@ def f(self, other, axis=0):
 
 # legacy
 class WidePanel(Panel):
+
     def __init__(self, *args, **kwargs):
         # deprecation, #10892
         warnings.warn("WidePanel is deprecated. Please use Panel",
@@ -1569,6 +1570,7 @@ def __init__(self, *args, **kwargs):
 
 
 class LongPanel(DataFrame):
+
     def __init__(self, *args, **kwargs):
         # deprecation, #10892
         warnings.warn("LongPanel is deprecated. Please use DataFrame",

pandas/core/series.py

@@ -2987,6 +2987,7 @@ def create_from_value(value, index, dtype):
 
 # backwards compatiblity
 class TimeSeries(Series):
+
     def __init__(self, *args, **kwargs):
         # deprecation TimeSeries, #10890
         warnings.warn("TimeSeries is deprecated. Please use Series",

pandas/core/window.py

@@ -659,6 +659,7 @@ def f(x, name=name, *args):
 
 
 class _Rolling(_Window):
+
     @property
     def _constructor(self):
         return Rolling
@@ -1718,7 +1719,7 @@ def dataframe_from_int_dict(data, frame_template):
 
 def _get_center_of_mass(com, span, halflife, alpha):
     valid_count = len([x for x in [com, span, halflife, alpha]
-                      if x is not None])
+                       if x is not None])
     if valid_count > 1:
         raise ValueError("com, span, halflife, and alpha "
                          "are mutually exclusive")