CLN: Finish isort core (#23765)

pandas/core/arrays/base.py

@@ -5,16 +5,18 @@
    This is an experimental API and subject to breaking changes
    without warning.
 """
-import numpy as np
-
 import operator
 
-from pandas.core.dtypes.generic import ABCSeries, ABCIndexClass
-from pandas.errors import AbstractMethodError
+import numpy as np
+
+from pandas.compat import PY3, set_function_name
 from pandas.compat.numpy import function as nv
-from pandas.compat import set_function_name, PY3
-from pandas.core import ops
+from pandas.errors import AbstractMethodError
+
 from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
+
+from pandas.core import ops
 
 _not_implemented_message = "{} does not implement {}."
 

pandas/core/arrays/categorical.py

@@ -1,61 +1,46 @@
 # pylint: disable=E1101,W0232
 
-import numpy as np
-from warnings import warn
 import textwrap
+from warnings import warn
 
-from pandas import compat
-from pandas.compat import u, lzip
-from pandas._libs import lib, algos as libalgos
+import numpy as np
+
+from pandas._libs import algos as libalgos, lib
+import pandas.compat as compat
+from pandas.compat import lzip, u
+from pandas.compat.numpy import function as nv
+from pandas.util._decorators import (
+    Appender, Substitution, cache_readonly, deprecate_kwarg)
+from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs
 
-from pandas.core.dtypes.generic import (
-    ABCSeries, ABCIndexClass, ABCCategoricalIndex)
-from pandas.core.dtypes.missing import isna, notna
-from pandas.core.dtypes.inference import is_hashable
 from pandas.core.dtypes.cast import (
-    maybe_infer_to_datetimelike,
-    coerce_indexer_dtype)
-from pandas.core.dtypes.dtypes import CategoricalDtype
+    coerce_indexer_dtype, maybe_infer_to_datetimelike)
 from pandas.core.dtypes.common import (
-    ensure_int64,
-    ensure_object,
-    ensure_platform_int,
-    is_extension_array_dtype,
-    is_dtype_equal,
-    is_datetimelike,
-    is_datetime64_dtype,
-    is_timedelta64_dtype,
-    is_categorical,
-    is_categorical_dtype,
-    is_float_dtype,
-    is_integer_dtype,
-    is_object_dtype,
-    is_list_like, is_sequence,
-    is_scalar, is_iterator,
-    is_dict_like)
-
-from pandas.core.algorithms import factorize, take_1d, unique1d, take
+    ensure_int64, ensure_object, ensure_platform_int, is_categorical,
+    is_categorical_dtype, is_datetime64_dtype, is_datetimelike, is_dict_like,
+    is_dtype_equal, is_extension_array_dtype, is_float_dtype, is_integer_dtype,
+    is_iterator, is_list_like, is_object_dtype, is_scalar, is_sequence,
+    is_timedelta64_dtype)
+from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.generic import (
+    ABCCategoricalIndex, ABCIndexClass, ABCSeries)
+from pandas.core.dtypes.inference import is_hashable
+from pandas.core.dtypes.missing import isna, notna
+
 from pandas.core.accessor import PandasDelegate, delegate_names
-from pandas.core.base import (PandasObject,
-                              NoNewAttributesMixin, _shared_docs)
+import pandas.core.algorithms as algorithms
+from pandas.core.algorithms import factorize, take, take_1d, unique1d
+from pandas.core.base import NoNewAttributesMixin, PandasObject, _shared_docs
 import pandas.core.common as com
+from pandas.core.config import get_option
 from pandas.core.missing import interpolate_2d
-from pandas.compat.numpy import function as nv
-from pandas.util._decorators import (
-    Appender, cache_readonly, deprecate_kwarg, Substitution)
-
-import pandas.core.algorithms as algorithms
-
 from pandas.core.sorting import nargsort
 
 from pandas.io.formats import console
 from pandas.io.formats.terminal import get_terminal_size
-from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs
-from pandas.core.config import get_option
 
 from .base import ExtensionArray
 
-
 _take_msg = textwrap.dedent("""\
     Interpreting negative values in 'indexer' as missing values.
     In the future, this will change to meaning positional indices

pandas/core/arrays/datetimelike.py

@@ -5,44 +5,33 @@
 
 import numpy as np
 
-from pandas._libs import lib, iNaT, NaT
+from pandas._libs import NaT, iNaT, lib
 from pandas._libs.tslibs import timezones
-from pandas._libs.tslibs.timedeltas import delta_to_nanoseconds, Timedelta
-from pandas._libs.tslibs.timestamps import maybe_integer_op_deprecated
 from pandas._libs.tslibs.period import (
-    Period, DIFFERENT_FREQ_INDEX, IncompatibleFrequency)
-
+    DIFFERENT_FREQ_INDEX, IncompatibleFrequency, Period)
+from pandas._libs.tslibs.timedeltas import Timedelta, delta_to_nanoseconds
+from pandas._libs.tslibs.timestamps import maybe_integer_op_deprecated
+import pandas.compat as compat
 from pandas.errors import (
     AbstractMethodError, NullFrequencyError, PerformanceWarning)
-from pandas import compat
-
-from pandas.tseries import frequencies
-from pandas.tseries.offsets import Tick, DateOffset
+from pandas.util._decorators import deprecate_kwarg
 
 from pandas.core.dtypes.common import (
-    pandas_dtype,
-    needs_i8_conversion,
-    is_list_like,
-    is_offsetlike,
-    is_extension_array_dtype,
-    is_datetime64_dtype,
-    is_datetime64_any_dtype,
-    is_datetime64tz_dtype,
-    is_float_dtype,
-    is_integer_dtype,
-    is_bool_dtype,
-    is_period_dtype,
-    is_timedelta64_dtype,
-    is_object_dtype)
-from pandas.core.dtypes.generic import ABCSeries, ABCDataFrame, ABCIndexClass
+    is_bool_dtype, is_datetime64_any_dtype, is_datetime64_dtype,
+    is_datetime64tz_dtype, is_extension_array_dtype, is_float_dtype,
+    is_integer_dtype, is_list_like, is_object_dtype, is_offsetlike,
+    is_period_dtype, is_timedelta64_dtype, needs_i8_conversion, pandas_dtype)
 from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.generic import ABCDataFrame, ABCIndexClass, ABCSeries
 from pandas.core.dtypes.missing import isna
 
-import pandas.core.common as com
 from pandas.core.algorithms import checked_add_with_arr, take, unique1d
+import pandas.core.common as com
+
+from pandas.tseries import frequencies
+from pandas.tseries.offsets import DateOffset, Tick
 
 from .base import ExtensionOpsMixin
-from pandas.util._decorators import deprecate_kwarg
 
 
 def _make_comparison_op(cls, op):

pandas/core/arrays/datetimes.py

@@ -6,35 +6,28 @@
 from pytz import utc
 
 from pandas._libs import lib, tslib
-from pandas._libs.tslib import Timestamp, NaT, iNaT
+from pandas._libs.tslib import NaT, Timestamp, iNaT
 from pandas._libs.tslibs import (
-    ccalendar, normalize_date,
-    conversion, fields, timezones,
-    resolution as libresolution)
-
-from pandas.util._decorators import cache_readonly, Appender
+    ccalendar, conversion, fields, normalize_date, resolution as libresolution,
+    timezones)
+import pandas.compat as compat
 from pandas.errors import PerformanceWarning
-from pandas import compat
+from pandas.util._decorators import Appender, cache_readonly
 
 from pandas.core.dtypes.common import (
-    _NS_DTYPE,
-    is_object_dtype,
-    is_int64_dtype,
-    is_datetime64tz_dtype,
-    is_datetime64_dtype)
+    _NS_DTYPE, is_datetime64_dtype, is_datetime64tz_dtype, is_int64_dtype,
+    is_object_dtype)
 from pandas.core.dtypes.dtypes import DatetimeTZDtype
-from pandas.core.dtypes.missing import isna
 from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
+from pandas.core.dtypes.missing import isna
 
-import pandas.core.common as com
-from pandas.core.algorithms import checked_add_with_arr
 from pandas.core import ops
-
-from pandas.tseries.frequencies import to_offset, get_period_alias
-from pandas.tseries.offsets import Tick, generate_range
-
+from pandas.core.algorithms import checked_add_with_arr
 from pandas.core.arrays import datetimelike as dtl
+import pandas.core.common as com
 
+from pandas.tseries.frequencies import get_period_alias, to_offset
+from pandas.tseries.offsets import Tick, generate_range
 
 _midnight = time(0, 0)
 

pandas/core/arrays/integer.py

@@ -1,31 +1,27 @@
+import copy
 import sys
 import warnings
-import copy
-import numpy as np
 
+import numpy as np
 
 from pandas._libs import lib
+from pandas.compat import range, set_function_name, string_types, u
 from pandas.util._decorators import cache_readonly
-from pandas.compat import u, range, string_types
-from pandas.compat import set_function_name
 
-from pandas.core import nanops
+from pandas.core.dtypes.base import ExtensionDtype
 from pandas.core.dtypes.cast import astype_nansafe
-from pandas.core.dtypes.generic import ABCSeries, ABCIndexClass
 from pandas.core.dtypes.common import (
-    is_integer, is_scalar, is_float,
-    is_bool_dtype,
-    is_float_dtype,
-    is_integer_dtype,
-    is_object_dtype,
-    is_list_like)
-from pandas.core.arrays import ExtensionArray, ExtensionOpsMixin
-from pandas.core.dtypes.base import ExtensionDtype
+    is_bool_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype,
+    is_list_like, is_object_dtype, is_scalar)
 from pandas.core.dtypes.dtypes import register_extension_dtype
+from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
 from pandas.core.dtypes.missing import isna, notna
 
+from pandas.core import nanops
+from pandas.core.arrays import ExtensionArray, ExtensionOpsMixin
+
 from pandas.io.formats.printing import (
-    format_object_summary, format_object_attrs, default_pprint)
+    default_pprint, format_object_attrs, format_object_summary)
 
 
 class _IntegerDtype(ExtensionDtype):

pandas/core/arrays/interval.py

@@ -1,31 +1,30 @@
+from operator import le, lt
 import textwrap
-import numpy as np
 
-from operator import le, lt
+import numpy as np
 
-from pandas._libs.interval import (Interval, IntervalMixin,
-                                   intervals_to_interval_bounds)
+from pandas._libs.interval import (
+    Interval, IntervalMixin, intervals_to_interval_bounds)
 from pandas.compat import add_metaclass
 from pandas.compat.numpy import function as nv
-import pandas.core.common as com
-from pandas.core.config import get_option
+from pandas.util._decorators import Appender
+from pandas.util._doctools import _WritableDoc
+
 from pandas.core.dtypes.cast import maybe_convert_platform
-from pandas.core.dtypes.common import (is_categorical_dtype, is_float_dtype,
-                                       is_integer_dtype, is_interval_dtype,
-                                       is_scalar, is_string_dtype,
-                                       is_datetime64_any_dtype,
-                                       is_timedelta64_dtype, is_interval,
-                                       pandas_dtype)
+from pandas.core.dtypes.common import (
+    is_categorical_dtype, is_datetime64_any_dtype, is_float_dtype,
+    is_integer_dtype, is_interval, is_interval_dtype, is_scalar,
+    is_string_dtype, is_timedelta64_dtype, pandas_dtype)
 from pandas.core.dtypes.dtypes import IntervalDtype
-from pandas.core.dtypes.generic import (ABCDatetimeIndex, ABCPeriodIndex,
-                                        ABCSeries, ABCIntervalIndex,
-                                        ABCInterval)
+from pandas.core.dtypes.generic import (
+    ABCDatetimeIndex, ABCInterval, ABCIntervalIndex, ABCPeriodIndex, ABCSeries)
 from pandas.core.dtypes.missing import isna, notna
+
+import pandas.core.common as com
+from pandas.core.config import get_option
 from pandas.core.indexes.base import Index, ensure_index
-from pandas.util._decorators import Appender
-from pandas.util._doctools import _WritableDoc
 
-from . import ExtensionArray, Categorical
+from . import Categorical, ExtensionArray
 
 _VALID_CLOSED = {'left', 'right', 'both', 'neither'}
 _interval_shared_docs = {}

pandas/core/arrays/period.py

@@ -4,48 +4,35 @@
 
 import numpy as np
 
-from pandas import compat
-from pandas.compat.numpy import function as nv
 from pandas._libs.tslib import NaT, iNaT
-from pandas._libs.tslibs.period import (
-    Period, IncompatibleFrequency, DIFFERENT_FREQ_INDEX,
-    get_period_field_arr, period_asfreq_arr,
-)
 from pandas._libs.tslibs import period as libperiod
-from pandas._libs.tslibs.timedeltas import delta_to_nanoseconds, Timedelta
 from pandas._libs.tslibs.fields import isleapyear_arr
-from pandas.util._decorators import cache_readonly, Appender
+from pandas._libs.tslibs.period import (
+    DIFFERENT_FREQ_INDEX, IncompatibleFrequency, Period, get_period_field_arr,
+    period_asfreq_arr)
+from pandas._libs.tslibs.timedeltas import Timedelta, delta_to_nanoseconds
+import pandas.compat as compat
+from pandas.compat.numpy import function as nv
+from pandas.util._decorators import Appender, cache_readonly
 from pandas.util._validators import validate_fillna_kwargs
-import pandas.core.algorithms as algos
+
 from pandas.core.dtypes.common import (
-    is_integer_dtype, is_float_dtype, is_period_dtype,
-    pandas_dtype,
-    is_datetime64_dtype,
-    is_categorical_dtype,
-    is_list_like,
-    is_array_like,
-    is_object_dtype,
-    is_string_dtype,
-    is_datetime_or_timedelta_dtype,
-    is_dtype_equal,
-    ensure_object,
-    _TD_DTYPE,
-)
+    _TD_DTYPE, ensure_object, is_array_like, is_categorical_dtype,
+    is_datetime64_dtype, is_datetime_or_timedelta_dtype, is_dtype_equal,
+    is_float_dtype, is_integer_dtype, is_list_like, is_object_dtype,
+    is_period_dtype, is_string_dtype, pandas_dtype)
 from pandas.core.dtypes.dtypes import PeriodDtype
-from pandas.core.dtypes.generic import (
-    ABCSeries, ABCIndexClass, ABCPeriodIndex
-)
+from pandas.core.dtypes.generic import ABCIndexClass, ABCPeriodIndex, ABCSeries
 from pandas.core.dtypes.missing import isna, notna
-from pandas.core.missing import pad_1d, backfill_1d
 
+import pandas.core.algorithms as algos
+from pandas.core.arrays import ExtensionArray, datetimelike as dtl
 import pandas.core.common as com
+from pandas.core.missing import backfill_1d, pad_1d
 
 from pandas.tseries import frequencies
 from pandas.tseries.offsets import Tick
 
-from pandas.core.arrays import ExtensionArray
-from pandas.core.arrays import datetimelike as dtl
-
 
 def _field_accessor(name, alias, docstring=None):
     def f(self):