STYLE: Fixed linting of benchmarks (pandas-dev#22947)

asv_bench/benchmarks/algorithms.py

@@ -12,8 +12,6 @@
     except (ImportError, TypeError, ValueError):
         pass
 
-from .pandas_vb_common import setup # noqa
-
 
 class Factorize(object):
 
@@ -126,3 +124,6 @@ def time_series_timedeltas(self, df):
 
     def time_series_dates(self, df):
         hashing.hash_pandas_object(df['dates'])
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/attrs_caching.py

@@ -5,8 +5,6 @@
 except ImportError:
     from pandas.util.decorators import cache_readonly
 
-from .pandas_vb_common import setup  # noqa
-
 
 class DataFrameAttributes(object):
 
@@ -38,3 +36,6 @@ def prop(self):
 
     def time_cache_readonly(self):
         self.obj.prop
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/binary_ops.py

@@ -6,8 +6,6 @@
 except ImportError:
     import pandas.computation.expressions as expr
 
-from .pandas_vb_common import setup # noqa
-
 
 class Ops(object):
 
@@ -149,3 +147,6 @@ def time_add_overflow_b_mask_nan(self):
     def time_add_overflow_both_arg_nan(self):
         checked_add_with_arr(self.arr, self.arr_mixed, arr_mask=self.arr_nan_1,
                              b_mask=self.arr_nan_2)
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/categoricals.py

@@ -11,8 +11,6 @@
     except ImportError:
         pass
 
-from .pandas_vb_common import setup # noqa
-
 
 class Concat(object):
 
@@ -245,3 +243,6 @@ def time_getitem_list(self, index):
 
     def time_getitem_bool_array(self, index):
         self.data[self.data == self.cat_scalar]
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/ctors.py

@@ -2,8 +2,6 @@
 import pandas.util.testing as tm
 from pandas import Series, Index, DatetimeIndex, Timestamp, MultiIndex
 
-from .pandas_vb_common import setup  # noqa
-
 
 class SeriesConstructors(object):
 
@@ -64,3 +62,6 @@ def setup(self):
 
     def time_multiindex_from_iterables(self):
         MultiIndex.from_product(self.iterables)
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/eval.py

@@ -5,8 +5,6 @@
 except ImportError:
     import pandas.computation.expressions as expr
 
-from .pandas_vb_common import setup # noqa
-
 
 class Eval(object):
 
@@ -65,3 +63,6 @@ def time_query_datetime_column(self):
 
     def time_query_with_boolean_selection(self):
         self.df.query('(a >= @self.min_val) & (a <= @self.max_val)')
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/frame_ctor.py

@@ -7,8 +7,6 @@
     # For compatibility with older versions
     from pandas.core.datetools import * # noqa
 
-from .pandas_vb_common import setup # noqa
-
 
 class FromDicts(object):
 
@@ -99,3 +97,6 @@ def setup(self):
 
     def time_frame_from_ndarray(self):
         self.df = DataFrame(self.data)
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/frame_methods.py

@@ -6,8 +6,6 @@
 from pandas import (DataFrame, Series, MultiIndex, date_range, period_range,
                     isnull, NaT)
 
-from .pandas_vb_common import setup  # noqa
-
 
 class GetNumericData(object):
 
@@ -537,3 +535,6 @@ def time_series_describe(self):
 
     def time_dataframe_describe(self):
         self.df.describe()
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/gil.py

@@ -23,7 +23,7 @@ def wrapper(fname):
             return fname
         return wrapper
 
-from .pandas_vb_common import BaseIO, setup  # noqa
+from .pandas_vb_common import BaseIO
 
 
 class ParallelGroupbyMethods(object):
@@ -273,3 +273,6 @@ def time_parallel(self, threads):
     def time_loop(self, threads):
         for i in range(threads):
             self.loop()
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/groupby.py

@@ -8,8 +8,6 @@
                     TimeGrouper, Categorical, Timestamp)
 import pandas.util.testing as tm
 
-from .pandas_vb_common import setup  # noqa
-
 
 method_blacklist = {
     'object': {'median', 'prod', 'sem', 'cumsum', 'sum', 'cummin', 'mean',
@@ -579,3 +577,6 @@ def setup(self):
 
     def time_first(self):
         self.df_nans.groupby('key').transform('first')
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/index_object.py

@@ -3,8 +3,6 @@
 from pandas import (Series, date_range, DatetimeIndex, Index, RangeIndex,
                     Float64Index)
 
-from .pandas_vb_common import setup  # noqa
-
 
 class SetOperations(object):
 
@@ -192,3 +190,6 @@ def setup(self):
 
     def time_get_loc(self):
         self.ind.get_loc(0)
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/indexing.py

@@ -2,10 +2,10 @@
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (Series, DataFrame, MultiIndex, Panel,
-                    Int64Index, Float64Index, IntervalIndex,
-                    CategoricalIndex, IndexSlice, concat, date_range)
-from .pandas_vb_common import setup  # noqa
+from pandas import (Series, DataFrame, MultiIndex, Int64Index, Float64Index,
+                    IntervalIndex, CategoricalIndex,
+                    IndexSlice, concat, date_range)
+from .pandas_vb_common import Panel
 
 
 class NumericSeriesIndexing(object):
@@ -367,3 +367,6 @@ def time_assign_with_setitem(self):
         np.random.seed(1234)
         for i in range(100):
             self.df[i] = np.random.randn(self.N)
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/inference.py

@@ -2,7 +2,7 @@
 import pandas.util.testing as tm
 from pandas import DataFrame, Series, to_numeric
 
-from .pandas_vb_common import numeric_dtypes, lib, setup  # noqa
+from .pandas_vb_common import numeric_dtypes, lib
 
 
 class NumericInferOps(object):
@@ -111,3 +111,6 @@ def setup_cache(self):
 
     def time_convert(self, data):
         lib.maybe_convert_numeric(data, set(), coerce_numeric=False)
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/csv.py

@@ -6,7 +6,7 @@
 from pandas import DataFrame, Categorical, date_range, read_csv
 from pandas.compat import cStringIO as StringIO
 
-from ..pandas_vb_common import setup, BaseIO  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class ToCSV(BaseIO):
@@ -225,3 +225,6 @@ def time_baseline(self):
         read_csv(self.data(self.StringIO_input), sep=',', header=None,
                  parse_dates=[1],
                  names=list(string.digits[:9]))
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/excel.py

@@ -3,7 +3,7 @@
 from pandas.compat import BytesIO
 import pandas.util.testing as tm
 
-from ..pandas_vb_common import BaseIO, setup  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class Excel(object):
@@ -34,3 +34,6 @@ def time_write_excel(self, engine):
         writer_write = ExcelWriter(bio_write, engine=engine)
         self.df.to_excel(writer_write, sheet_name='Sheet1')
         writer_write.save()
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/hdf.py

@@ -4,7 +4,7 @@
 from pandas import DataFrame, Panel, date_range, HDFStore, read_hdf
 import pandas.util.testing as tm
 
-from ..pandas_vb_common import BaseIO, setup  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class HDFStoreDataFrame(BaseIO):
@@ -149,3 +149,6 @@ def time_read_hdf(self, format):
 
     def time_write_hdf(self, format):
         self.df.to_hdf(self.fname, 'df', format=format)
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/json.py

@@ -2,7 +2,7 @@
 import pandas.util.testing as tm
 from pandas import DataFrame, date_range, timedelta_range, concat, read_json
 
-from ..pandas_vb_common import setup, BaseIO  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class ReadJSON(BaseIO):
@@ -125,3 +125,6 @@ def time_float_int_lines(self, orient):
 
     def time_float_int_str_lines(self, orient):
         self.df_int_float_str.to_json(self.fname, orient='records', lines=True)
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/msgpack.py

@@ -2,7 +2,7 @@
 from pandas import DataFrame, date_range, read_msgpack
 import pandas.util.testing as tm
 
-from ..pandas_vb_common import BaseIO, setup  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class MSGPack(BaseIO):
@@ -24,3 +24,6 @@ def time_read_msgpack(self):
 
     def time_write_msgpack(self):
         self.df.to_msgpack(self.fname)
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/pickle.py

@@ -2,7 +2,7 @@
 from pandas import DataFrame, date_range, read_pickle
 import pandas.util.testing as tm
 
-from ..pandas_vb_common import BaseIO, setup  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class Pickle(BaseIO):
@@ -24,3 +24,6 @@ def time_read_pickle(self):
 
     def time_write_pickle(self):
         self.df.to_pickle(self.fname)
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/sql.py

@@ -5,8 +5,6 @@
 from pandas import DataFrame, date_range, read_sql_query, read_sql_table
 from sqlalchemy import create_engine
 
-from ..pandas_vb_common import setup  # noqa
-
 
 class SQL(object):
 
@@ -130,3 +128,6 @@ def setup(self, dtype):
 
     def time_read_sql_table_column(self, dtype):
         read_sql_table(self.table_name, self.con, columns=[dtype])
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/io/stata.py

@@ -2,7 +2,7 @@
 from pandas import DataFrame, date_range, read_stata
 import pandas.util.testing as tm
 
-from ..pandas_vb_common import BaseIO, setup  # noqa
+from ..pandas_vb_common import BaseIO
 
 
 class Stata(BaseIO):
@@ -35,3 +35,6 @@ def time_read_stata(self, convert_dates):
 
     def time_write_stata(self, convert_dates):
         self.df.to_stata(self.fname, self.convert_dates)
+
+
+from ..pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/join_merge.py

@@ -11,7 +11,7 @@
 except ImportError:
     from pandas import ordered_merge as merge_ordered
 
-from .pandas_vb_common import setup  # noqa
+from .pandas_vb_common import Panel
 
 
 class Append(object):
@@ -361,3 +361,6 @@ def time_series_align_int64_index(self):
 
     def time_series_align_left_monotonic(self):
         self.ts1.align(self.ts2, join='left')
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/multiindex_object.py

@@ -4,8 +4,6 @@
 import pandas.util.testing as tm
 from pandas import date_range, MultiIndex
 
-from .pandas_vb_common import setup  # noqa
-
 
 class GetLoc(object):
 
@@ -138,3 +136,6 @@ def time_datetime_level_values_copy(self, mi):
 
     def time_datetime_level_values_sliced(self, mi):
         mi[:10].values
+
+
+from .pandas_vb_common import setup  # noqa: F401

asv_bench/benchmarks/panel_ctor.py

@@ -3,7 +3,7 @@
 
 from pandas import DataFrame, Panel, DatetimeIndex, date_range
 
-from .pandas_vb_common import setup  # noqa
+from .pandas_vb_common import Panel
 
 
 class DifferentIndexes(object):
@@ -58,3 +58,6 @@ def setup(self):
     def time_from_dict(self):
         with warnings.catch_warnings(record=True):
             Panel.from_dict(self.data_frames)
+
+
+from .pandas_vb_common import setup  # noqa: F401