run pre-commit filters on asv_bench/benchmarks/

Author: basnijholt

asv_bench/benchmarks/categoricals.py

@@ -1,7 +1,9 @@
+import warnings
+
 import numpy as np
+
 import pandas as pd
 import pandas.util.testing as tm
-import warnings
 
 try:
     from pandas.api.types import union_categoricals

asv_bench/benchmarks/ctors.py

@@ -1,6 +1,7 @@
 import numpy as np
+
+from pandas import DatetimeIndex, Index, MultiIndex, Series, Timestamp
 import pandas.util.testing as tm
-from pandas import Series, Index, DatetimeIndex, Timestamp, MultiIndex
 
 
 def no_change(arr):

asv_bench/benchmarks/dtypes.py

@@ -1,14 +1,14 @@
+import numpy as np
+
 from pandas.api.types import pandas_dtype
 
-import numpy as np
 from .pandas_vb_common import (
-    numeric_dtypes,
     datetime_dtypes,
-    string_dtypes,
     extension_dtypes,
+    numeric_dtypes,
+    string_dtypes,
 )
 
-
 _numpy_dtypes = [
     np.dtype(dtype) for dtype in (numeric_dtypes + datetime_dtypes + string_dtypes)
 ]

asv_bench/benchmarks/eval.py

@@ -1,4 +1,5 @@
 import numpy as np
+
 import pandas as pd
 
 try:

asv_bench/benchmarks/frame_ctor.py

@@ -1,6 +1,7 @@
 import numpy as np
+
+from pandas import DataFrame, MultiIndex, Series, Timestamp, date_range
 import pandas.util.testing as tm
-from pandas import DataFrame, Series, MultiIndex, Timestamp, date_range
 
 try:
     from pandas.tseries.offsets import Nano, Hour

asv_bench/benchmarks/frame_methods.py

@@ -1,5 +1,5 @@
-import warnings
 import string
+import warnings
 
 import numpy as np
 

asv_bench/benchmarks/gil.py

@@ -1,7 +1,8 @@
 import numpy as np
-import pandas.util.testing as tm
-from pandas import DataFrame, Series, read_csv, factorize, date_range
+
+from pandas import DataFrame, Series, date_range, factorize, read_csv
 from pandas.core.algorithms import take_1d
+import pandas.util.testing as tm
 
 try:
     from pandas import (

asv_bench/benchmarks/groupby.py

@@ -15,7 +15,6 @@
 )
 import pandas.util.testing as tm
 
-
 method_blacklist = {
     "object": {
         "median",

asv_bench/benchmarks/index_object.py

@@ -1,15 +1,17 @@
 import gc
+
 import numpy as np
-import pandas.util.testing as tm
+
 from pandas import (
-    Series,
-    date_range,
     DatetimeIndex,
-    Index,
-    RangeIndex,
     Float64Index,
+    Index,
     IntervalIndex,
+    RangeIndex,
+    Series,
+    date_range,
 )
+import pandas.util.testing as tm
 
 
 class SetOperations:

asv_bench/benchmarks/indexing.py

@@ -1,22 +1,23 @@
 import warnings
 
 import numpy as np
-import pandas.util.testing as tm
+
 from pandas import (
-    Series,
+    CategoricalIndex,
     DataFrame,
-    MultiIndex,
-    Int64Index,
-    UInt64Index,
     Float64Index,
-    IntervalIndex,
-    CategoricalIndex,
     IndexSlice,
+    Int64Index,
+    IntervalIndex,
+    MultiIndex,
+    Series,
+    UInt64Index,
     concat,
     date_range,
     option_context,
     period_range,
 )
+import pandas.util.testing as tm
 
 
 class NumericSeriesIndexing:

asv_bench/benchmarks/inference.py

@@ -1,8 +1,9 @@
 import numpy as np
-import pandas.util.testing as tm
+
 from pandas import DataFrame, Series, to_numeric
+import pandas.util.testing as tm
 
-from .pandas_vb_common import numeric_dtypes, lib
+from .pandas_vb_common import lib, numeric_dtypes
 
 
 class NumericInferOps:

asv_bench/benchmarks/io/csv.py

@@ -1,10 +1,11 @@
+from io import StringIO
 import random
 import string
 
 import numpy as np
+
+from pandas import Categorical, DataFrame, date_range, read_csv, to_datetime
 import pandas.util.testing as tm
-from pandas import DataFrame, Categorical, date_range, read_csv, to_datetime
-from io import StringIO
 
 from ..pandas_vb_common import BaseIO
 

asv_bench/benchmarks/io/excel.py

@@ -1,6 +1,8 @@
 from io import BytesIO
+
 import numpy as np
-from pandas import DataFrame, date_range, ExcelWriter, read_excel
+
+from pandas import DataFrame, ExcelWriter, date_range, read_excel
 import pandas.util.testing as tm
 
 

asv_bench/benchmarks/io/hdf.py

@@ -1,5 +1,6 @@
 import numpy as np
-from pandas import DataFrame, date_range, HDFStore, read_hdf
+
+from pandas import DataFrame, HDFStore, date_range, read_hdf
 import pandas.util.testing as tm
 
 from ..pandas_vb_common import BaseIO

asv_bench/benchmarks/io/json.py

@@ -1,6 +1,7 @@
 import numpy as np
+
+from pandas import DataFrame, concat, date_range, read_json, timedelta_range
 import pandas.util.testing as tm
-from pandas import DataFrame, date_range, timedelta_range, concat, read_json
 
 from ..pandas_vb_common import BaseIO
 

asv_bench/benchmarks/io/msgpack.py

@@ -1,5 +1,7 @@
 import warnings
+
 import numpy as np
+
 from pandas import DataFrame, date_range, read_msgpack
 import pandas.util.testing as tm
 

asv_bench/benchmarks/io/pickle.py

@@ -1,4 +1,5 @@
 import numpy as np
+
 from pandas import DataFrame, date_range, read_pickle
 import pandas.util.testing as tm
 

asv_bench/benchmarks/io/sql.py

@@ -1,10 +1,11 @@
 import sqlite3
 
 import numpy as np
-import pandas.util.testing as tm
-from pandas import DataFrame, date_range, read_sql_query, read_sql_table
 from sqlalchemy import create_engine
 
+from pandas import DataFrame, date_range, read_sql_query, read_sql_table
+import pandas.util.testing as tm
+
 
 class SQL:
 

asv_bench/benchmarks/io/stata.py

@@ -1,4 +1,5 @@
 import numpy as np
+
 from pandas import DataFrame, date_range, read_stata
 import pandas.util.testing as tm
 

asv_bench/benchmarks/join_merge.py

@@ -1,8 +1,9 @@
 import string
 
 import numpy as np
+
+from pandas import DataFrame, MultiIndex, Series, concat, date_range, merge, merge_asof
 import pandas.util.testing as tm
-from pandas import DataFrame, Series, MultiIndex, date_range, concat, merge, merge_asof
 
 try:
     from pandas import merge_ordered

asv_bench/benchmarks/multiindex_object.py

@@ -1,8 +1,9 @@
 import string
 
 import numpy as np
+
+from pandas import DataFrame, MultiIndex, date_range
 import pandas.util.testing as tm
-from pandas import date_range, MultiIndex, DataFrame
 
 
 class GetLoc:

asv_bench/benchmarks/offset.py

@@ -1,7 +1,8 @@
-import warnings
 from datetime import datetime
+import warnings
 
 import numpy as np
+
 import pandas as pd
 
 try:

asv_bench/benchmarks/pandas_vb_common.py

@@ -1,7 +1,8 @@
-import os
 from importlib import import_module
+import os
 
 import numpy as np
+
 import pandas as pd
 
 # Compatibility import for lib

asv_bench/benchmarks/period.py

@@ -1,4 +1,5 @@
 from pandas import DataFrame, Period, PeriodIndex, Series, date_range, period_range
+
 from pandas.tseries.frequencies import to_offset
 
 

asv_bench/benchmarks/plotting.py

@@ -1,11 +1,12 @@
+import matplotlib
 import numpy as np
-from pandas import DataFrame, Series, DatetimeIndex, date_range
+
+from pandas import DataFrame, DatetimeIndex, Series, date_range
 
 try:
     from pandas.plotting import andrews_curves
 except ImportError:
     from pandas.tools.plotting import andrews_curves
-import matplotlib
 
 matplotlib.use("Agg")
 

asv_bench/benchmarks/reindex.py

@@ -1,6 +1,8 @@
 import numpy as np
+
+from pandas import DataFrame, Index, MultiIndex, Series, date_range, period_range
 import pandas.util.testing as tm
-from pandas import DataFrame, Series, MultiIndex, Index, date_range, period_range
+
 from .pandas_vb_common import lib
 
 

asv_bench/benchmarks/replace.py

@@ -1,4 +1,5 @@
 import numpy as np
+
 import pandas as pd
 
 

asv_bench/benchmarks/reshape.py

@@ -1,9 +1,10 @@
-import string
 from itertools import product
+import string
 
 import numpy as np
-from pandas import DataFrame, MultiIndex, date_range, melt, wide_to_long
+
 import pandas as pd
+from pandas import DataFrame, MultiIndex, date_range, melt, wide_to_long
 
 
 class Melt:

asv_bench/benchmarks/rolling.py

@@ -1,6 +1,7 @@
-import pandas as pd
 import numpy as np
 
+import pandas as pd
+
 
 class Methods:
 

asv_bench/benchmarks/series_methods.py

@@ -1,8 +1,9 @@
 from datetime import datetime
 
 import numpy as np
+
+from pandas import NaT, Series, date_range
 import pandas.util.testing as tm
-from pandas import Series, date_range, NaT
 
 
 class SeriesConstructor:

asv_bench/benchmarks/stat_ops.py

@@ -1,6 +1,6 @@
 import numpy as np
-import pandas as pd
 
+import pandas as pd
 
 ops = ["mean", "sum", "median", "std", "skew", "kurt", "mad", "prod", "sem", "var"]
 

asv_bench/benchmarks/strings.py

@@ -1,7 +1,8 @@
 import warnings
 
 import numpy as np
-from pandas import Series, DataFrame
+
+from pandas import DataFrame, Series
 import pandas.util.testing as tm
 
 

asv_bench/benchmarks/timeseries.py

@@ -2,7 +2,9 @@
 
 import dateutil
 import numpy as np
-from pandas import to_datetime, date_range, Series, DataFrame, period_range
+
+from pandas import DataFrame, Series, date_range, period_range, to_datetime
+
 from pandas.tseries.frequencies import infer_freq
 
 try: