Style Update (#53)

* Style: Add procedures to format code

* Style: Add local tests to format code

* Style: Add local tests to format code

* Style: Apply black and isort style

* Style: new isort and black config to match pandas

Author: breno-jesus-fernandes

pandas-stubs/__init__.pyi

@@ -1,3 +1,5 @@
+import pandas.testing as testing
+
 from ._config import (
     describe_option as describe_option,
     get_option as get_option,
@@ -7,6 +9,7 @@ from ._config import (
     set_option as set_option,
 )
 from .core.api import (
+    NA as NA,
     BooleanDtype as BooleanDtype,
     Categorical as Categorical,
     CategoricalDtype as CategoricalDtype,
@@ -19,18 +22,17 @@ from .core.api import (
     Grouper as Grouper,
     Index as Index,
     IndexSlice as IndexSlice,
+    Int8Dtype as Int8Dtype,
     Int16Dtype as Int16Dtype,
     Int32Dtype as Int32Dtype,
     Int64Dtype as Int64Dtype,
     Int64Index as Int64Index,
-    Int8Dtype as Int8Dtype,
     Interval as Interval,
     IntervalDtype as IntervalDtype,
     IntervalIndex as IntervalIndex,
     MultiIndex as MultiIndex,
-    NA as NA,
-    NaT as NaT,
     NamedAgg as NamedAgg,
+    NaT as NaT,
     Period as Period,
     PeriodDtype as PeriodDtype,
     PeriodIndex as PeriodIndex,
@@ -40,11 +42,11 @@ from .core.api import (
     Timedelta as Timedelta,
     TimedeltaIndex as TimedeltaIndex,
     Timestamp as Timestamp,
+    UInt8Dtype as UInt8Dtype,
     UInt16Dtype as UInt16Dtype,
     UInt32Dtype as UInt32Dtype,
     UInt64Dtype as UInt64Dtype,
     UInt64Index as UInt64Index,
-    UInt8Dtype as UInt8Dtype,
     array as array,
     bdate_range as bdate_range,
     date_range as date_range,
@@ -61,10 +63,7 @@ from .core.api import (
     unique as unique,
     value_counts as value_counts,
 )
-from .core.tools import to_datetime as to_datetime, to_timedelta as to_timedelta
 from .core.arrays.sparse import SparseDtype as SparseDtype
-from .tseries import offsets as offsets
-from .tseries.api import infer_freq as infer_freq
 from .core.computation.api import eval as eval
 from .core.reshape.api import (
     concat as concat,
@@ -81,8 +80,7 @@ from .core.reshape.api import (
     qcut as qcut,
     wide_to_long as wide_to_long,
 )
-from .util._print_versions import show_versions as show_versions
-from .io.json import json_normalize as json_normalize
+from .core.tools import to_datetime as to_datetime, to_timedelta as to_timedelta
 from .io.api import (
     ExcelFile as ExcelFile,
     ExcelWriter as ExcelWriter,
@@ -108,9 +106,10 @@ from .io.api import (
     read_table as read_table,
     to_pickle as to_pickle,
 )
-
+from .io.json import json_normalize as json_normalize
+from .tseries import offsets as offsets
+from .tseries.api import infer_freq as infer_freq
+from .util._print_versions import show_versions as show_versions
 from .util._tester import test as test
 
-import pandas.testing as testing
-
 __version__: str

pandas-stubs/_config/__init__.pyi

@@ -4,5 +4,5 @@ from .config import (
     option_context as option_context,
     options as options,
     reset_option as reset_option,
-    set_option as set_option)
-
+    set_option as set_option,
+)

pandas-stubs/_config/config.pyi

@@ -1,5 +1,10 @@
 from contextlib import ContextDecorator
-from typing import Any, Union, overload, Literal
+from typing import (
+    Any,
+    Literal,
+    Union,
+    overload,
+)
 
 def get_option(pat: str) -> Any: ...
 def set_option(pat: str, val: object) -> None: ...

pandas-stubs/_libs/__init__.pyi

@@ -1,3 +1,4 @@
+from .interval import Interval as Interval
 from .tslibs import (
     NaT as NaT,
     NaTType as NaTType,
@@ -7,4 +8,3 @@ from .tslibs import (
     Timestamp as Timestamp,
     iNaT as iNaT,
 )
-from .interval import Interval as Interval

pandas-stubs/_libs/interval.pyi

@@ -10,12 +10,11 @@ from typing import (
 
 import numpy as np
 
-from pandas._typing import npt
-
 from pandas._typing import (
     IntervalClosedType,
     Timedelta,
     Timestamp,
+    npt,
 )
 
 VALID_CLOSED: frozenset[str]

pandas-stubs/_libs/missing.pyi

@@ -1,4 +1,5 @@
 from __future__ import annotations
+
 from typing import Union
 
 class NAType:

pandas-stubs/_libs/tslibs/__init__.pyi

@@ -11,14 +11,18 @@ __all__ = [
     "OutOfBoundsDatetime",
 ]
 
-from .period import Period
-from .timestamps import Timestamp
-from .timedeltas import Timedelta
+from np_datetime import OutOfBoundsDatetime as OutOfBoundsDatetime
+
 from .nattype import (
     NaT,
     NaTType,
     iNaT,
     nat_strings,
 )
-from .offsets import BaseOffset, Tick
-from np_datetime import OutOfBoundsDatetime as OutOfBoundsDatetime
+from .offsets import (
+    BaseOffset,
+    Tick,
+)
+from .period import Period
+from .timedeltas import Timedelta
+from .timestamps import Timestamp

pandas-stubs/_libs/tslibs/offsets.pyi

@@ -16,6 +16,7 @@ from typing import (
 )
 
 import numpy as np
+
 from pandas._typing import npt
 
 from .timedeltas import Timedelta

pandas-stubs/_libs/tslibs/period.pyi

@@ -1,4 +1,5 @@
 from __future__ import annotations
+
 from datetime import datetime
 from typing import Any
 

pandas-stubs/_testing/__init__.pyi

@@ -1,11 +1,18 @@
+from typing import (
+    Any,
+    List,
+    Optional,
+    Union,
+)
+
 from pandas.core.frame import DataFrame
 from pandas.core.indexes.base import Index
 from pandas.core.series import Series
+
 from pandas._typing import (
     FilePathOrBuffer as FilePathOrBuffer,
     FrameOrSeriesUnion as FrameOrSeriesUnion,
 )
-from typing import Any, List, Optional, Union
 
 lzma = ...
 N: int = ...

pandas-stubs/_typing.pyi

@@ -1,19 +1,22 @@
 import datetime
-from io import BufferedIOBase, RawIOBase, TextIOBase, TextIOWrapper
+from io import (
+    BufferedIOBase,
+    RawIOBase,
+    TextIOBase,
+    TextIOWrapper,
+)
 from mmap import mmap
-import numpy as np
-from numpy import typing as npt
-import sys
 from os import PathLike
 from pathlib import Path
+import sys
 from typing import (
+    IO,
     Any,
     AnyStr,
     Callable,
     Collection,
     Dict,
     Hashable,
-    IO,
     List,
     Mapping,
     NewType,
@@ -26,12 +29,20 @@ from typing import (
     Union,
 )
 
-from pandas.core.generic import NDFrame
-from pandas._libs.tslibs import Period, Timedelta as Timedelta, Timestamp as Timestamp
+import numpy as np
+from numpy import typing as npt
 from pandas.core.arrays import ExtensionArray as ExtensionArray
-from pandas.core.series import Series as Series
 from pandas.core.frame import DataFrame as DataFrame
+from pandas.core.generic import NDFrame
 from pandas.core.indexes.base import Index as Index
+from pandas.core.series import Series as Series
+
+from pandas._libs.tslibs import (
+    Period,
+    Timedelta as Timedelta,
+    Timestamp as Timestamp,
+)
+
 from pandas.core.dtypes.dtypes import ExtensionDtype
 
 if sys.version_info >= (3, 8):

pandas-stubs/api/__init__.pyi

@@ -1,4 +1,5 @@
 from . import (
     extensions as extensions,
     indexers as indexers,
-    types as types)
+    types as types,
+)

pandas-stubs/api/extensions/__init__.pyi

@@ -1,7 +1,17 @@
-from pandas._libs.lib import no_default as no_default
-from pandas.core.accessor import register_dataframe_accessor as register_dataframe_accessor, register_index_accessor as register_index_accessor, register_series_accessor as register_series_accessor
+from pandas.core.accessor import (
+    register_dataframe_accessor as register_dataframe_accessor,
+    register_index_accessor as register_index_accessor,
+    register_series_accessor as register_series_accessor,
+)
 from pandas.core.algorithms import take as take
-from pandas.core.arrays import ExtensionArray as ExtensionArray, ExtensionScalarOpsMixin as ExtensionScalarOpsMixin
-from pandas.core.dtypes.dtypes import ExtensionDtype as ExtensionDtype, register_extension_dtype as register_extension_dtype
+from pandas.core.arrays import (
+    ExtensionArray as ExtensionArray,
+    ExtensionScalarOpsMixin as ExtensionScalarOpsMixin,
+)
 
+from pandas._libs.lib import no_default as no_default
 
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype as ExtensionDtype,
+    register_extension_dtype as register_extension_dtype,
+)

pandas-stubs/api/indexers/__init__.pyi

@@ -2,6 +2,5 @@ from pandas.core.indexers import check_array_indexer as check_array_indexer
 from pandas.core.window.indexers import (
     BaseIndexer as BaseIndexer,
     FixedForwardWindowIndexer as FixedForwardWindowIndexer,
-    VariableOffsetWindowIndexer as VariableOffsetWindowIndexer)
-
-
+    VariableOffsetWindowIndexer as VariableOffsetWindowIndexer,
+)

pandas-stubs/api/types/__init__.pyi

@@ -1,5 +1,10 @@
-from pandas.core.dtypes.api import *
 from pandas._libs.lib import infer_dtype as infer_dtype
-from pandas.core.dtypes.concat import union_categoricals as union_categoricals
-from pandas.core.dtypes.dtypes import CategoricalDtype as CategoricalDtype, DatetimeTZDtype as DatetimeTZDtype, IntervalDtype as IntervalDtype, PeriodDtype as PeriodDtype
 
+from pandas.core.dtypes.api import *
+from pandas.core.dtypes.concat import union_categoricals as union_categoricals
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype as CategoricalDtype,
+    DatetimeTZDtype as DatetimeTZDtype,
+    IntervalDtype as IntervalDtype,
+    PeriodDtype as PeriodDtype,
+)

pandas-stubs/compat/_optional.pyi

@@ -1,3 +1,5 @@
 VERSIONS = ...
 
-def import_optional_dependency(name: str, extra: str=..., raise_on_missing: bool=..., on_version: str=...): ...
+def import_optional_dependency(
+    name: str, extra: str = ..., raise_on_missing: bool = ..., on_version: str = ...
+): ...

pandas-stubs/compat/pickle_compat.pyi

@@ -1,7 +1,12 @@
 import pickle as pkl
-from pandas import DataFrame as DataFrame, Index as Index, Series as Series
 from typing import Optional
 
+from pandas import (
+    DataFrame as DataFrame,
+    Index as Index,
+    Series as Series,
+)
+
 def load_reduce(self) -> None: ...
 def load_newobj(self) -> None: ...
 def load_newobj_ex(self) -> None: ...

pandas-stubs/core/algorithms.pyi

@@ -1,8 +1,15 @@
 from __future__ import annotations
+
+from typing import (
+    Any,
+    Tuple,
+    Union,
+)
+
 import numpy as np
-from pandas.core.dtypes.generic import ABCIndex as ABCIndex
 from pandas.core.indexes.base import Index
-from typing import Any, Tuple, Union
+
+from pandas.core.dtypes.generic import ABCIndex as ABCIndex
 
 def unique(values): ...