Run isort

pandas/tests/frame/common.py

@@ -1,9 +1,10 @@
 import numpy as np
 
-from pandas import compat
 from pandas.util._decorators import cache_readonly
-import pandas.util.testing as tm
+
 import pandas as pd
+from pandas import compat
+import pandas.util.testing as tm
 
 _seriesd = tm.getSeriesData()
 _tsd = tm.getTimeSeriesData()

pandas/tests/frame/conftest.py

@@ -1,10 +1,8 @@
-import pytest
-
 import numpy as np
+import pytest
 
-from pandas import compat
+from pandas import DataFrame, NaT, compat, date_range
 import pandas.util.testing as tm
-from pandas import DataFrame, date_range, NaT
 
 
 @pytest.fixture

pandas/tests/frame/test_alter_axes.py

@@ -2,22 +2,20 @@
 
 from __future__ import print_function
 
-import inspect
-import pytest
-
 from datetime import datetime, timedelta
+import inspect
 
 import numpy as np
+import pytest
+
+from pandas.compat import PY2, lrange
 
-from pandas.compat import lrange, PY2
-from pandas import (DataFrame, Series, Index, MultiIndex, RangeIndex,
-                    IntervalIndex, DatetimeIndex, Categorical, cut,
-                    Timestamp, date_range, to_datetime)
 from pandas.core.dtypes.common import (
-    is_object_dtype,
-    is_categorical_dtype,
-    is_interval_dtype)
+    is_categorical_dtype, is_interval_dtype, is_object_dtype)
 
+from pandas import (
+    Categorical, DataFrame, DatetimeIndex, Index, IntervalIndex, MultiIndex,
+    RangeIndex, Series, Timestamp, cut, date_range, to_datetime)
 import pandas.util.testing as tm
 
 

pandas/tests/frame/test_analytics.py

@@ -2,26 +2,26 @@
 
 from __future__ import print_function
 
-import warnings
 from datetime import timedelta
 import operator
-import pytest
-
 from string import ascii_lowercase
+import warnings
+
+import numpy as np
 from numpy import nan
 from numpy.random import randn
-import numpy as np
+import pytest
+
+from pandas.compat import PY35, lrange
+import pandas.util._test_decorators as td
 
-from pandas.compat import lrange, PY35
-from pandas import (compat, isna, notna, DataFrame, Series,
-                    MultiIndex, date_range, Timestamp, Categorical,
-                    to_datetime, to_timedelta)
 import pandas as pd
-import pandas.core.nanops as nanops
+from pandas import (
+    Categorical, DataFrame, MultiIndex, Series, Timestamp, compat, date_range,
+    isna, notna, to_datetime, to_timedelta)
 import pandas.core.algorithms as algorithms
-
+import pandas.core.nanops as nanops
 import pandas.util.testing as tm
-import pandas.util._test_decorators as td
 
 
 def assert_stat_op_calc(opname, alternative, frame, has_skipna=True,

pandas/tests/frame/test_api.py

@@ -2,27 +2,23 @@
 
 from __future__ import print_function
 
-import pytest
-
 # pylint: disable-msg=W0612,E1101
 from copy import deepcopy
 import pydoc
 
-from pandas.compat import range, lrange, long
-from pandas import compat
-
-from numpy.random import randn
 import numpy as np
+from numpy.random import randn
+import pytest
 
-from pandas import (DataFrame, Series, date_range, timedelta_range,
-                    Categorical, SparseDataFrame)
-import pandas as pd
-
-from pandas.util.testing import (assert_almost_equal,
-                                 assert_series_equal,
-                                 assert_frame_equal)
+from pandas.compat import long, lrange, range
 
+import pandas as pd
+from pandas import (
+    Categorical, DataFrame, Series, SparseDataFrame, compat, date_range,
+    timedelta_range)
 import pandas.util.testing as tm
+from pandas.util.testing import (
+    assert_almost_equal, assert_frame_equal, assert_series_equal)
 
 
 class SharedWithSparse(object):

pandas/tests/frame/test_apply.py

@@ -2,25 +2,24 @@
 
 from __future__ import print_function
 
-import pytest
-
-import operator
 from collections import OrderedDict
 from datetime import datetime
 from itertools import chain
-
+import operator
 import warnings
+
 import numpy as np
+import pytest
 
-from pandas import (notna, DataFrame, Series, MultiIndex, date_range,
-                    Timestamp, compat)
-import pandas as pd
 from pandas.core.dtypes.dtypes import CategoricalDtype
+
+import pandas as pd
+from pandas import (
+    DataFrame, MultiIndex, Series, Timestamp, compat, date_range, notna)
+from pandas.conftest import _get_cython_table_params
 from pandas.core.apply import frame_apply
-from pandas.util.testing import (assert_series_equal,
-                                 assert_frame_equal)
 import pandas.util.testing as tm
-from pandas.conftest import _get_cython_table_params
+from pandas.util.testing import assert_frame_equal, assert_series_equal
 
 
 @pytest.fixture

pandas/tests/frame/test_arithmetic.py

@@ -3,16 +3,14 @@
 from datetime import datetime
 import operator
 
-import pytest
 import numpy as np
+import pytest
 
 from pandas.compat import range
 
 import pandas as pd
-import pandas.util.testing as tm
-
 from pandas.tests.frame.common import _check_mixed_float, _check_mixed_int
-
+import pandas.util.testing as tm
 
 # -------------------------------------------------------------------
 # Comparisons

pandas/tests/frame/test_asof.py

@@ -2,9 +2,8 @@
 
 import numpy as np
 import pytest
-from pandas import (DataFrame, date_range, Timestamp, Series,
-                    to_datetime)
 
+from pandas import DataFrame, Series, Timestamp, date_range, to_datetime
 import pandas.util.testing as tm
 
 from .common import TestData

pandas/tests/frame/test_axis_select_reindex.py

@@ -2,24 +2,22 @@
 
 from __future__ import print_function
 
-import pytest
-
 from datetime import datetime
 
-from numpy import random
 import numpy as np
+from numpy import random
+import pytest
 
 from pandas.compat import lrange, lzip, u
-from pandas import (compat, DataFrame, Series, Index, MultiIndex, Categorical,
-                    date_range, isna)
-import pandas as pd
-
-from pandas.util.testing import assert_frame_equal
-
 from pandas.errors import PerformanceWarning
-import pandas.util.testing as tm
 
+import pandas as pd
+from pandas import (
+    Categorical, DataFrame, Index, MultiIndex, Series, compat, date_range,
+    isna)
 from pandas.tests.frame.common import TestData
+import pandas.util.testing as tm
+from pandas.util.testing import assert_frame_equal
 
 
 class TestDataFrameSelectReindex(TestData):

pandas/tests/frame/test_block_internals.py

@@ -2,27 +2,24 @@
 
 from __future__ import print_function
 
-import pytest
-
 from datetime import datetime, timedelta
 import itertools
 
-from numpy import nan
 import numpy as np
+from numpy import nan
+import pytest
 
-from pandas import (DataFrame, Series, Timestamp, date_range, compat,
-                    option_context, Categorical)
-from pandas.core.internals.blocks import IntBlock
-from pandas.core.arrays import IntervalArray, integer_array
 from pandas.compat import StringIO
-import pandas as pd
-
-from pandas.util.testing import (assert_almost_equal,
-                                 assert_series_equal,
-                                 assert_frame_equal)
 
+import pandas as pd
+from pandas import (
+    Categorical, DataFrame, Series, Timestamp, compat, date_range,
+    option_context)
+from pandas.core.arrays import IntervalArray, integer_array
+from pandas.core.internals.blocks import IntBlock
 import pandas.util.testing as tm
-
+from pandas.util.testing import (
+    assert_almost_equal, assert_frame_equal, assert_series_equal)
 
 # Segregated collection of methods that require the BlockManager internal data
 # structure

pandas/tests/frame/test_combine_concat.py

@@ -4,17 +4,15 @@
 
 from datetime import datetime
 
-import pytest
 import numpy as np
 from numpy import nan
+import pytest
 
-import pandas as pd
-
-from pandas import DataFrame, Index, Series, Timestamp, date_range
 from pandas.compat import lrange
 
+import pandas as pd
+from pandas import DataFrame, Index, Series, Timestamp, date_range
 from pandas.tests.frame.common import TestData
-
 import pandas.util.testing as tm
 from pandas.util.testing import assert_frame_equal, assert_series_equal
 

pandas/tests/frame/test_constructors.py

@@ -6,26 +6,25 @@
 import functools
 import itertools
 
-import pytest
-from numpy.random import randn
-
 import numpy as np
 import numpy.ma as ma
 import numpy.ma.mrecords as mrecords
+from numpy.random import randn
+import pytest
+
+from pandas.compat import (
+    PY3, PY36, OrderedDict, is_platform_little_endian, lmap, long, lrange,
+    lzip, range, zip)
 
-from pandas.core.dtypes.common import is_integer_dtype
-from pandas.compat import (lmap, long, zip, range, lrange, lzip,
-                           OrderedDict, is_platform_little_endian, PY3, PY36)
-from pandas import compat
-from pandas import (DataFrame, Index, Series, isna,
-                    MultiIndex, Timedelta, Timestamp,
-                    date_range, Categorical)
-import pandas as pd
-import pandas.util.testing as tm
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.common import is_integer_dtype
 
+import pandas as pd
+from pandas import (
+    Categorical, DataFrame, Index, MultiIndex, Series, Timedelta, Timestamp,
+    compat, date_range, isna)
 from pandas.tests.frame.common import TestData
-
+import pandas.util.testing as tm
 
 MIXED_FLOAT_DTYPES = ['float16', 'float32', 'float64']
 MIXED_INT_DTYPES = ['uint8', 'uint16', 'uint32', 'uint64', 'int8', 'int16',

pandas/tests/frame/test_convert_to.py

@@ -1,20 +1,18 @@
 # -*- coding: utf-8 -*-
 
+import collections
+from collections import OrderedDict, defaultdict
 from datetime import datetime
 
+import numpy as np
 import pytest
 import pytz
-import collections
-from collections import OrderedDict, defaultdict
-import numpy as np
 
-from pandas import compat
 from pandas.compat import long
-from pandas import (DataFrame, Series, MultiIndex, Timestamp,
-                    date_range)
 
-import pandas.util.testing as tm
+from pandas import DataFrame, MultiIndex, Series, Timestamp, compat, date_range
 from pandas.tests.frame.common import TestData
+import pandas.util.testing as tm
 
 
 class TestDataFrameConvertTo(TestData):

pandas/tests/frame/test_dtypes.py

@@ -2,24 +2,24 @@
 
 from __future__ import print_function
 
-import pytest
-
 from datetime import timedelta
 
 import numpy as np
-from pandas import (DataFrame, Series, date_range, Timedelta, Timestamp,
-                    Categorical, compat, concat, option_context)
+import pytest
+
 from pandas.compat import u
-from pandas import _np_version_under1p14
 
+from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype
+
+import pandas as pd
+from pandas import (
+    Categorical, DataFrame, Series, Timedelta, Timestamp,
+    _np_version_under1p14, compat, concat, date_range, option_context)
 from pandas.core.arrays import integer_array
-from pandas.core.dtypes.dtypes import DatetimeTZDtype, CategoricalDtype
 from pandas.tests.frame.common import TestData
-from pandas.util.testing import (assert_series_equal,
-                                 assert_frame_equal,
-                                 makeCustomDataframe as mkdf)
 import pandas.util.testing as tm
-import pandas as pd
+from pandas.util.testing import (
+    assert_frame_equal, assert_series_equal, makeCustomDataframe as mkdf)
 
 
 @pytest.fixture(params=[str, compat.text_type])