CLN: Isort core/*.py and core/indexes/

pandas/core/algorithms.py

@@ -3,40 +3,31 @@
 intended for public consumption
 """
 from __future__ import division
-from warnings import warn, catch_warnings, simplefilter
+
 from textwrap import dedent
+from warnings import catch_warnings, simplefilter, warn
 
 import numpy as np
 
+from pandas._libs import algos, hashtable as htable, lib
+from pandas._libs.tslib import iNaT
+from pandas.util._decorators import Appender, Substitution, deprecate_kwarg
+
 from pandas.core.dtypes.cast import (
-    maybe_promote, construct_1d_object_array_from_listlike)
-from pandas.core.dtypes.generic import (
-    ABCSeries, ABCIndex,
-    ABCIndexClass)
+    construct_1d_object_array_from_listlike, maybe_promote)
 from pandas.core.dtypes.common import (
-    is_array_like,
-    is_unsigned_integer_dtype, is_signed_integer_dtype,
-    is_integer_dtype, is_complex_dtype,
-    is_object_dtype,
-    is_extension_array_dtype,
-    is_categorical_dtype, is_sparse,
-    is_period_dtype,
-    is_numeric_dtype, is_float_dtype,
-    is_bool_dtype, needs_i8_conversion,
-    is_datetimetz,
-    is_datetime64_any_dtype, is_datetime64tz_dtype,
-    is_timedelta64_dtype, is_datetimelike,
-    is_interval_dtype, is_scalar, is_list_like,
-    ensure_platform_int, ensure_object,
-    ensure_float64, ensure_uint64,
-    ensure_int64)
+    ensure_float64, ensure_int64, ensure_object, ensure_platform_int,
+    ensure_uint64, is_array_like, is_bool_dtype, is_categorical_dtype,
+    is_complex_dtype, is_datetime64_any_dtype, is_datetime64tz_dtype,
+    is_datetimelike, is_datetimetz, is_extension_array_dtype, is_float_dtype,
+    is_integer_dtype, is_interval_dtype, is_list_like, is_numeric_dtype,
+    is_object_dtype, is_period_dtype, is_scalar, is_signed_integer_dtype,
+    is_sparse, is_timedelta64_dtype, is_unsigned_integer_dtype,
+    needs_i8_conversion)
+from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
 from pandas.core.dtypes.missing import isna, na_value_for_dtype
 
 from pandas.core import common as com
-from pandas._libs import algos, lib, hashtable as htable
-from pandas._libs.tslib import iNaT
-from pandas.util._decorators import (Appender, Substitution,
-                                     deprecate_kwarg)
 
 _shared_docs = {}
 

pandas/core/apply.py

@@ -1,15 +1,15 @@
 import warnings
+
 import numpy as np
-from pandas import compat
+
 from pandas._libs import reduction
-from pandas.core.dtypes.generic import ABCSeries
-from pandas.core.dtypes.common import (
-    is_extension_type,
-    is_dict_like,
-    is_list_like,
-    is_sequence)
+import pandas.compat as compat
 from pandas.util._decorators import cache_readonly
 
+from pandas.core.dtypes.common import (
+    is_dict_like, is_extension_type, is_list_like, is_sequence)
+from pandas.core.dtypes.generic import ABCSeries
+
 from pandas.io.formats.printing import pprint_thing
 
 

pandas/core/base.py

@@ -1,32 +1,28 @@
 """
 Base and utility classes for pandas objects.
 """
-import warnings
 import textwrap
-from pandas import compat
-from pandas.compat import builtins
-import numpy as np
+import warnings
 
-from pandas.core.dtypes.missing import isna
-from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries, ABCIndexClass
-from pandas.core.dtypes.common import (
-    is_datetimelike,
-    is_object_dtype,
-    is_list_like,
-    is_scalar,
-    is_extension_type,
-    is_extension_array_dtype)
+import numpy as np
 
-from pandas.util._validators import validate_bool_kwarg
-from pandas.errors import AbstractMethodError
-from pandas.core import common as com, algorithms
-import pandas.core.nanops as nanops
 import pandas._libs.lib as lib
+import pandas.compat as compat
+from pandas.compat import PYPY, OrderedDict, builtins
 from pandas.compat.numpy import function as nv
-from pandas.compat import PYPY, OrderedDict
-from pandas.util._decorators import Appender, cache_readonly, Substitution
+from pandas.errors import AbstractMethodError
+from pandas.util._decorators import Appender, Substitution, cache_readonly
+from pandas.util._validators import validate_bool_kwarg
 
+from pandas.core.dtypes.common import (
+    is_datetimelike, is_extension_array_dtype, is_extension_type, is_list_like,
+    is_object_dtype, is_scalar)
+from pandas.core.dtypes.generic import ABCDataFrame, ABCIndexClass, ABCSeries
+from pandas.core.dtypes.missing import isna
+
+from pandas.core import algorithms, common as com
 from pandas.core.accessor import DirNamesMixin
+import pandas.core.nanops as nanops
 
 _shared_docs = dict()
 _indexops_doc_kwargs = dict(klass='IndexOpsMixin', inplace='',

pandas/core/categorical.py

@@ -1,8 +1,9 @@
 import warnings
 
+from pandas.core.dtypes.dtypes import CategoricalDtype  # noqa
+
+from pandas.core.arrays import Categorical  # noqa
+
 # TODO: Remove after 0.23.x
 warnings.warn("'pandas.core' is private. Use 'pandas.Categorical'",
               FutureWarning, stacklevel=2)
-
-from pandas.core.arrays import Categorical  # noqa
-from pandas.core.dtypes.dtypes import CategoricalDtype  # noqa

pandas/core/common.py

@@ -4,25 +4,23 @@
 Note: pandas.core.common is *not* part of the public API.
 """
 
+import collections
 from datetime import datetime, timedelta
 from functools import partial
 import inspect
-import collections
 
 import numpy as np
+
 from pandas._libs import lib, tslibs
+import pandas.compat as compat
+from pandas.compat import PY36, OrderedDict, iteritems
 
-from pandas import compat
-from pandas.compat import iteritems, PY36, OrderedDict
-from pandas.core.dtypes.generic import (
-    ABCSeries, ABCIndex, ABCIndexClass
-)
+from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
-    is_integer, is_bool_dtype, is_extension_array_dtype, is_array_like
-)
+    is_array_like, is_bool_dtype, is_extension_array_dtype, is_integer)
+from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
 from pandas.core.dtypes.inference import _iterable_not_string
 from pandas.core.dtypes.missing import isna, isnull, notnull  # noqa
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 
 
 class SettingWithCopyError(ValueError):

pandas/core/config.py

@@ -48,13 +48,13 @@
 
 """
 
-import re
-
 from collections import namedtuple
 from contextlib import contextmanager
+import re
 import warnings
-from pandas.compat import map, lmap, u
+
 import pandas.compat as compat
+from pandas.compat import lmap, map, u
 
 DeprecatedOption = namedtuple('DeprecatedOption', 'key msg rkey removal_ver')
 RegisteredOption = namedtuple('RegisteredOption',

pandas/core/config_init.py

@@ -10,8 +10,10 @@
 
 """
 import pandas.core.config as cf
-from pandas.core.config import (is_int, is_bool, is_text, is_instance_factory,
-                                is_one_of_factory, is_callable)
+from pandas.core.config import (
+    is_bool, is_callable, is_instance_factory, is_int, is_one_of_factory,
+    is_text)
+
 from pandas.io.formats.console import detect_console_encoding
 from pandas.io.formats.terminal import is_terminal
 

pandas/core/generic.py

@@ -1,64 +1,52 @@
 # pylint: disable=W0231,E1101
 import collections
 import functools
-import warnings
-import operator
-import weakref
 import gc
 import json
+import operator
+import warnings
+import weakref
 
 import numpy as np
-import pandas as pd
 
-from pandas._libs import properties, Timestamp, iNaT
+from pandas._libs import Timestamp, iNaT, properties
+import pandas.compat as compat
+from pandas.compat import (
+    cPickle as pkl, isidentifier, lrange, lzip, map, set_function_name,
+    string_types, to_str, zip)
+from pandas.compat.numpy import function as nv
 from pandas.errors import AbstractMethodError
+from pandas.util._decorators import (
+    Appender, Substitution, rewrite_axis_style_signature)
+from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs
 
-from pandas.core.dtypes.common import (
-    ensure_int64,
-    ensure_object,
-    is_scalar,
-    is_number,
-    is_integer, is_bool,
-    is_bool_dtype,
-    is_numeric_dtype,
-    is_datetime64_any_dtype,
-    is_timedelta64_dtype,
-    is_datetime64tz_dtype,
-    is_list_like,
-    is_dict_like,
-    is_re_compilable,
-    is_period_arraylike,
-    is_object_dtype,
-    is_extension_array_dtype,
-    pandas_dtype)
 from pandas.core.dtypes.cast import maybe_promote, maybe_upcast_putmask
+from pandas.core.dtypes.common import (
+    ensure_int64, ensure_object, is_bool, is_bool_dtype,
+    is_datetime64_any_dtype, is_datetime64tz_dtype, is_dict_like,
+    is_extension_array_dtype, is_integer, is_list_like, is_number,
+    is_numeric_dtype, is_object_dtype, is_period_arraylike, is_re_compilable,
+    is_scalar, is_timedelta64_dtype, pandas_dtype)
+from pandas.core.dtypes.generic import ABCDataFrame, ABCPanel, ABCSeries
 from pandas.core.dtypes.inference import is_hashable
 from pandas.core.dtypes.missing import isna, notna
-from pandas.core.dtypes.generic import ABCSeries, ABCPanel, ABCDataFrame
 
+import pandas as pd
+from pandas.core import config, missing, nanops
+import pandas.core.algorithms as algos
 from pandas.core.base import PandasObject, SelectionMixin
-from pandas.core.index import (Index, MultiIndex, ensure_index,
-                               InvalidIndexError, RangeIndex)
-import pandas.core.indexing as indexing
+import pandas.core.common as com
+from pandas.core.index import (
+    Index, InvalidIndexError, MultiIndex, RangeIndex, ensure_index)
 from pandas.core.indexes.datetimes import DatetimeIndex
-from pandas.core.indexes.period import PeriodIndex, Period
+from pandas.core.indexes.period import Period, PeriodIndex
+import pandas.core.indexing as indexing
 from pandas.core.internals import BlockManager
-import pandas.core.algorithms as algos
-import pandas.core.common as com
-import pandas.core.missing as missing
+from pandas.core.ops import _align_method_FRAME
+
+from pandas.io.formats.format import DataFrameFormatter, format_percentiles
 from pandas.io.formats.printing import pprint_thing
-from pandas.io.formats.format import format_percentiles, DataFrameFormatter
 from pandas.tseries.frequencies import to_offset
-from pandas import compat
-from pandas.compat.numpy import function as nv
-from pandas.compat import (map, zip, lzip, lrange, string_types, to_str,
-                           isidentifier, set_function_name, cPickle as pkl)
-from pandas.core.ops import _align_method_FRAME
-import pandas.core.nanops as nanops
-from pandas.util._decorators import (Appender, Substitution,
-                                     rewrite_axis_style_signature)
-from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs
-from pandas.core import config
 
 # goal is to be able to define the docs close to function, while still being
 # able to share

pandas/core/indexes/accessors.py

@@ -3,20 +3,18 @@
 """
 import numpy as np
 
-from pandas.core.dtypes.generic import ABCSeries
 from pandas.core.dtypes.common import (
-    is_period_arraylike,
-    is_datetime_arraylike, is_integer_dtype,
-    is_datetime64_dtype, is_datetime64tz_dtype,
-    is_timedelta64_dtype, is_categorical_dtype,
-    is_list_like)
+    is_categorical_dtype, is_datetime64_dtype, is_datetime64tz_dtype,
+    is_datetime_arraylike, is_integer_dtype, is_list_like, is_period_arraylike,
+    is_timedelta64_dtype)
+from pandas.core.dtypes.generic import ABCSeries
 
 from pandas.core.accessor import PandasDelegate, delegate_names
+from pandas.core.algorithms import take_1d
 from pandas.core.base import NoNewAttributesMixin, PandasObject
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.period import PeriodArray
 from pandas.core.indexes.timedeltas import TimedeltaIndex
-from pandas.core.algorithms import take_1d
 
 
 class Properties(PandasDelegate, PandasObject, NoNewAttributesMixin):

pandas/core/indexes/api.py

@@ -1,23 +1,21 @@
 import textwrap
 import warnings
 
-from pandas.core.indexes.base import (Index,
-                                      _new_Index,
-                                      ensure_index,
-                                      ensure_index_from_sequences,
-                                      InvalidIndexError)  # noqa
-from pandas.core.indexes.category import CategoricalIndex  # noqa
-from pandas.core.indexes.multi import MultiIndex  # noqa
-from pandas.core.indexes.interval import IntervalIndex  # noqa
-from pandas.core.indexes.numeric import (NumericIndex, Float64Index,  # noqa
-                                    Int64Index, UInt64Index)
-from pandas.core.indexes.range import RangeIndex  # noqa
-from pandas.core.indexes.timedeltas import TimedeltaIndex
-from pandas.core.indexes.period import PeriodIndex
-from pandas.core.indexes.datetimes import DatetimeIndex
+from pandas._libs import NaT, lib
 
 import pandas.core.common as com
-from pandas._libs import lib, NaT
+from pandas.core.indexes.base import (
+    Index, _new_Index, ensure_index, ensure_index_from_sequences)
+from pandas.core.indexes.base import InvalidIndexError  # noqa:F401
+from pandas.core.indexes.category import CategoricalIndex  # noqa:F401
+from pandas.core.indexes.datetimes import DatetimeIndex
+from pandas.core.indexes.interval import IntervalIndex  # noqa:F401
+from pandas.core.indexes.multi import MultiIndex  # noqa:F401
+from pandas.core.indexes.numeric import (  # noqa:F401
+    Float64Index, Int64Index, NumericIndex, UInt64Index)
+from pandas.core.indexes.period import PeriodIndex
+from pandas.core.indexes.range import RangeIndex  # noqa:F401
+from pandas.core.indexes.timedeltas import TimedeltaIndex
 
 _sort_msg = textwrap.dedent("""\
 Sorting because non-concatenation axis is not aligned. A future version