STY: proposed isort settings [ci skip] [skip ci] [ciskip] [skipci]

pandas/core/arrays/sparse.py

@@ -10,35 +10,35 @@
 
 import numpy as np
 
-import pandas._libs.sparse as splib
-import pandas.core.algorithms as algos
-import pandas.core.common as com
-import pandas.io.formats.printing as printing
-from pandas import compat
 from pandas._libs import index as libindex, lib
+import pandas._libs.sparse as splib
 from pandas._libs.sparse import BlockIndex, IntIndex
 from pandas._libs.tslibs import NaT
+import pandas.compat as compat
 from pandas.compat.numpy import function as nv
-from pandas.core.accessor import PandasDelegate, delegate_names
-from pandas.core.arrays import ExtensionArray, ExtensionOpsMixin
-from pandas.core.base import PandasObject
+from pandas.errors import PerformanceWarning
+
 from pandas.core.dtypes.base import ExtensionDtype
 from pandas.core.dtypes.cast import (
     astype_nansafe, construct_1d_arraylike_from_scalar, find_common_type,
-    infer_dtype_from_scalar, maybe_convert_platform
-)
+    infer_dtype_from_scalar, maybe_convert_platform)
 from pandas.core.dtypes.common import (
     is_array_like, is_bool_dtype, is_datetime64_any_dtype, is_dtype_equal,
     is_integer, is_list_like, is_object_dtype, is_scalar, is_string_dtype,
-    pandas_dtype
-)
+    pandas_dtype)
 from pandas.core.dtypes.dtypes import register_extension_dtype
 from pandas.core.dtypes.generic import (
-    ABCIndexClass, ABCSeries, ABCSparseSeries
-)
+    ABCIndexClass, ABCSeries, ABCSparseSeries)
 from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
+
+from pandas.core.accessor import PandasDelegate, delegate_names
+import pandas.core.algorithms as algos
+from pandas.core.arrays import ExtensionArray, ExtensionOpsMixin
+from pandas.core.base import PandasObject
+import pandas.core.common as com
 from pandas.core.missing import interpolate_2d
-from pandas.errors import PerformanceWarning
+
+import pandas.io.formats.printing as printing
 
 
 # ----------------------------------------------------------------------------

pandas/core/groupby/base.py

@@ -6,9 +6,10 @@
 
 import types
 
-from pandas.core.dtypes.common import is_list_like, is_scalar
 from pandas.util._decorators import make_signature
 
+from pandas.core.dtypes.common import is_list_like, is_scalar
+
 
 class GroupByMixin(object):
     """ provide the groupby facilities to the mixed object """

pandas/core/groupby/categorical.py

@@ -2,8 +2,7 @@
 
 from pandas.core.algorithms import unique1d
 from pandas.core.arrays.categorical import (
-    Categorical, CategoricalDtype, _recode_for_categories
-)
+    Categorical, CategoricalDtype, _recode_for_categories)
 
 
 def recode_for_groupby(c, sort, observed):

pandas/core/groupby/generic.py

@@ -8,39 +8,40 @@
 
 import collections
 import copy
-import warnings
 from functools import partial
 from textwrap import dedent
+import warnings
 
 import numpy as np
 
-import pandas.core.algorithms as algorithms
-import pandas.core.common as com
-import pandas.core.indexes.base as ibase
-from pandas import compat
 from pandas._libs import Timestamp, lib
+import pandas.compat as compat
 from pandas.compat import lzip, map
 from pandas.compat.numpy import _np_version_under1p13
-from pandas.core.arrays import Categorical
-from pandas.core.base import DataError, SpecificationError
+from pandas.util._decorators import Appender, Substitution
+
 from pandas.core.dtypes.cast import maybe_downcast_to_dtype
 from pandas.core.dtypes.common import (
     ensure_int64, ensure_platform_int, is_bool, is_datetimelike,
-    is_integer_dtype, is_interval_dtype, is_numeric_dtype, is_scalar
-)
+    is_integer_dtype, is_interval_dtype, is_numeric_dtype, is_scalar)
 from pandas.core.dtypes.missing import isna, notna
+
+import pandas.core.algorithms as algorithms
+from pandas.core.arrays import Categorical
+from pandas.core.base import DataError, SpecificationError
+import pandas.core.common as com
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame, _shared_docs
 from pandas.core.groupby import base
 from pandas.core.groupby.groupby import (
-    GroupBy, _apply_docs, _transform_template
-)
+    GroupBy, _apply_docs, _transform_template)
 from pandas.core.index import CategoricalIndex, Index, MultiIndex
+import pandas.core.indexes.base as ibase
 from pandas.core.internals import BlockManager, make_block
 from pandas.core.panel import Panel
 from pandas.core.series import Series
+
 from pandas.plotting._core import boxplot_frame_groupby
-from pandas.util._decorators import Appender, Substitution
 
 
 class NDFrameGroupBy(GroupBy):

pandas/core/groupby/groupby.py

@@ -8,35 +8,36 @@ class providing the base-class of operations.
 """
 
 import collections
+from contextlib import contextmanager
 import datetime
+from functools import partial, wraps
 import types
 import warnings
-from contextlib import contextmanager
-from functools import partial, wraps
 
 import numpy as np
 
-import pandas.core.algorithms as algorithms
-import pandas.core.common as com
-from pandas import compat
 from pandas._libs import Timestamp, groupby as libgroupby
+import pandas.compat as compat
 from pandas.compat import callable, range, set_function_name, zip
 from pandas.compat.numpy import function as nv
-from pandas.core.base import (
-    DataError, GroupByError, PandasObject, SelectionMixin, SpecificationError
-)
-from pandas.core.config import option_context
+from pandas.util._decorators import Appender, Substitution, cache_readonly
+from pandas.util._validators import validate_kwargs
+
 from pandas.core.dtypes.cast import maybe_downcast_to_dtype
 from pandas.core.dtypes.common import ensure_float, is_numeric_dtype, is_scalar
 from pandas.core.dtypes.missing import isna, notna
+
+import pandas.core.algorithms as algorithms
+from pandas.core.base import (
+    DataError, GroupByError, PandasObject, SelectionMixin, SpecificationError)
+import pandas.core.common as com
+from pandas.core.config import option_context
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame
 from pandas.core.groupby import base
 from pandas.core.index import Index, MultiIndex
 from pandas.core.series import Series
 from pandas.core.sorting import get_group_index_sorter
-from pandas.util._decorators import Appender, Substitution, cache_readonly
-from pandas.util._validators import validate_kwargs
 
 _doc_template = """
 

pandas/core/groupby/grouper.py

@@ -7,22 +7,24 @@
 
 import numpy as np
 
-import pandas.core.algorithms as algorithms
-import pandas.core.common as com
-from pandas import compat
+import pandas.compat as compat
 from pandas.compat import callable, zip
-from pandas.core.arrays import Categorical, ExtensionArray
+from pandas.util._decorators import cache_readonly
+
 from pandas.core.dtypes.common import (
     ensure_categorical, is_categorical_dtype, is_datetime64_dtype, is_hashable,
-    is_list_like, is_scalar, is_timedelta64_dtype
-)
+    is_list_like, is_scalar, is_timedelta64_dtype)
 from pandas.core.dtypes.generic import ABCSeries
+
+import pandas.core.algorithms as algorithms
+from pandas.core.arrays import Categorical, ExtensionArray
+import pandas.core.common as com
 from pandas.core.frame import DataFrame
 from pandas.core.groupby.ops import BaseGrouper
 from pandas.core.index import CategoricalIndex, Index, MultiIndex
 from pandas.core.series import Series
+
 from pandas.io.formats.printing import pprint_thing
-from pandas.util._decorators import cache_readonly
 
 
 class Grouper(object):

pandas/core/groupby/ops.py

@@ -11,28 +11,28 @@
 
 import numpy as np
 
-import pandas.core.algorithms as algorithms
-import pandas.core.common as com
 from pandas._libs import NaT, groupby as libgroupby, iNaT, lib, reduction
 from pandas.compat import lzip, range, zip
-from pandas.core.base import SelectionMixin
+from pandas.util._decorators import cache_readonly
+
 from pandas.core.dtypes.common import (
     ensure_float64, ensure_int64, ensure_int64_or_float64, ensure_object,
     ensure_platform_int, is_bool_dtype, is_categorical_dtype, is_complex_dtype,
     is_datetime64_any_dtype, is_integer_dtype, is_numeric_dtype,
-    is_timedelta64_dtype, needs_i8_conversion
-)
+    is_timedelta64_dtype, needs_i8_conversion)
 from pandas.core.dtypes.missing import _maybe_fill, isna
+
+import pandas.core.algorithms as algorithms
+from pandas.core.base import SelectionMixin
+import pandas.core.common as com
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame
 from pandas.core.groupby import base
 from pandas.core.index import Index, MultiIndex, ensure_index
 from pandas.core.series import Series
 from pandas.core.sorting import (
     compress_group_index, decons_obs_group_ids, get_flattened_iterator,
-    get_group_index, get_group_index_sorter, get_indexer_dict
-)
-from pandas.util._decorators import cache_readonly
+    get_group_index, get_group_index_sorter, get_indexer_dict)
 
 
 def generate_bins_generic(values, binner, closed):

pandas/core/indexes/range.py

@@ -1,25 +1,26 @@
-import operator
-import warnings
 from datetime import timedelta
+import operator
 from sys import getsizeof
+import warnings
 
 import numpy as np
 
-import pandas.core.common as com
-import pandas.core.indexes.base as ibase
-from pandas import compat
 from pandas._libs import index as libindex
+import pandas.compat as compat
 from pandas.compat import get_range_parameters, lrange, range
 from pandas.compat.numpy import function as nv
-from pandas.core import ops
+from pandas.util._decorators import Appender, cache_readonly
+
 from pandas.core.dtypes import concat as _concat
 from pandas.core.dtypes.common import (
-    is_int64_dtype, is_integer, is_scalar, is_timedelta64_dtype
-)
+    is_int64_dtype, is_integer, is_scalar, is_timedelta64_dtype)
 from pandas.core.dtypes.generic import ABCSeries, ABCTimedeltaIndex
+
+from pandas.core import ops
+import pandas.core.common as com
+import pandas.core.indexes.base as ibase
 from pandas.core.indexes.base import Index, _index_shared_docs
 from pandas.core.indexes.numeric import Int64Index
-from pandas.util._decorators import Appender, cache_readonly
 
 
 class RangeIndex(Int64Index):

pandas/core/series.py

@@ -3,64 +3,58 @@
 """
 from __future__ import division
 
-import warnings
 from textwrap import dedent
+import warnings
 
 import numpy as np
 import numpy.ma as ma
 
-import pandas.core.algorithms as algorithms
-import pandas.core.common as com
-import pandas.core.indexes.base as ibase
-import pandas.core.nanops as nanops
-import pandas.core.ops as ops
-import pandas.io.formats.format as fmt
-import pandas.plotting._core as gfx
-from pandas import compat
 from pandas._libs import iNaT, index as libindex, lib, tslibs
+import pandas.compat as compat
 from pandas.compat import (
-    PY36, OrderedDict, StringIO, get_range_parameters, range, u, zip
-)
+    PY36, OrderedDict, StringIO, get_range_parameters, range, u, zip)
 from pandas.compat.numpy import function as nv
-from pandas.core import base, generic
-from pandas.core.accessor import CachedAccessor
-from pandas.core.arrays import ExtensionArray, SparseArray, period_array
-from pandas.core.arrays.categorical import Categorical, CategoricalAccessor
-from pandas.core.arrays.sparse import SparseAccessor
-from pandas.core.config import get_option
+from pandas.util._decorators import Appender, Substitution, deprecate
+from pandas.util._validators import validate_bool_kwarg
+
 from pandas.core.dtypes.cast import (
     construct_1d_arraylike_from_scalar, construct_1d_ndarray_preserving_na,
     construct_1d_object_array_from_listlike, infer_dtype_from_scalar,
     maybe_cast_to_datetime, maybe_cast_to_integer_array, maybe_castable,
-    maybe_convert_platform, maybe_upcast
-)
+    maybe_convert_platform, maybe_upcast)
 from pandas.core.dtypes.common import (
     _is_unorderable_exception, ensure_platform_int, is_bool,
     is_categorical_dtype, is_datetime64tz_dtype, is_datetimelike, is_dict_like,
     is_extension_array_dtype, is_extension_type, is_float_dtype, is_hashable,
     is_integer, is_integer_dtype, is_iterator, is_list_like, is_object_dtype,
-    is_scalar, is_string_like, is_timedelta64_dtype, pandas_dtype
-)
+    is_scalar, is_string_like, is_timedelta64_dtype, pandas_dtype)
 from pandas.core.dtypes.generic import (
-    ABCDataFrame, ABCIndexClass, ABCSeries, ABCSparseArray, ABCSparseSeries
-)
+    ABCDataFrame, ABCIndexClass, ABCSeries, ABCSparseArray, ABCSparseSeries)
 from pandas.core.dtypes.missing import (
-    isna, na_value_for_dtype, notna, remove_na_arraylike
-)
+    isna, na_value_for_dtype, notna, remove_na_arraylike)
+
+from pandas.core import algorithms, base, generic, nanops, ops
+from pandas.core.accessor import CachedAccessor
+from pandas.core.arrays import ExtensionArray, SparseArray, period_array
+from pandas.core.arrays.categorical import Categorical, CategoricalAccessor
+from pandas.core.arrays.sparse import SparseAccessor
+import pandas.core.common as com
+from pandas.core.config import get_option
 from pandas.core.index import (
-    Float64Index, Index, InvalidIndexError, MultiIndex, ensure_index
-)
+    Float64Index, Index, InvalidIndexError, MultiIndex, ensure_index)
 from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
+import pandas.core.indexes.base as ibase
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.period import PeriodIndex
 from pandas.core.indexes.timedeltas import TimedeltaIndex
 from pandas.core.indexing import check_bool_indexer, maybe_convert_indices
 from pandas.core.internals import SingleBlockManager
 from pandas.core.strings import StringMethods
 from pandas.core.tools.datetimes import to_datetime
+
+import pandas.io.formats.format as fmt
 from pandas.io.formats.terminal import get_terminal_size
-from pandas.util._decorators import Appender, Substitution, deprecate
-from pandas.util._validators import validate_bool_kwarg
+import pandas.plotting._core as gfx
 
 # pylint: disable=E1101,E1103
 # pylint: disable=W0703,W0622,W0613,W0201

pandas/io/clipboards.py

@@ -1,10 +1,13 @@
 """ io on the clipboard """
 import warnings
 
-from pandas import compat, get_option, option_context
+import pandas.compat as compat
 from pandas.compat import PY2, PY3, StringIO
+
 from pandas.core.dtypes.generic import ABCDataFrame
 
+from pandas import get_option, option_context
+
 
 def read_clipboard(sep=r'\s+', **kwargs):  # pragma: no cover
     r"""