diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 576c929c26b9b..a785607eca3fc 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -409,9 +409,9 @@ repos:
         - flake8-pyi==22.8.1
     -   id: future-annotations
         name: import annotations from __future__
-        entry: 'from __future__ import annotations'
+        entry: 'from __future__ import \(\n    annotations'
         language: pygrep
-        args: [--negate]
+        args: [--negate, --multiline]
         files: ^pandas/
         types: [python]
         exclude: |
diff --git a/asv_bench/benchmarks/algorithms.py b/asv_bench/benchmarks/algorithms.py
index eef81242abc7c..53c549e77bf4b 100644
--- a/asv_bench/benchmarks/algorithms.py
+++ b/asv_bench/benchmarks/algorithms.py
@@ -1,10 +1,14 @@
-from importlib import import_module
+from importlib import (
+    import_module,
+)
 
 import numpy as np
 
 import pandas as pd
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 for imp in ["pandas.util", "pandas.tools.hashing"]:
     try:
diff --git a/asv_bench/benchmarks/algos/isin.py b/asv_bench/benchmarks/algos/isin.py
index ac79ab65cea81..8b3b7abc610b2 100644
--- a/asv_bench/benchmarks/algos/isin.py
+++ b/asv_bench/benchmarks/algos/isin.py
@@ -8,7 +8,9 @@
     date_range,
 )
 
-from ..pandas_vb_common import tm
+from ..pandas_vb_common import (
+    tm,
+)
 
 
 class IsIn:
diff --git a/asv_bench/benchmarks/arithmetic.py b/asv_bench/benchmarks/arithmetic.py
index ab3b38fee1b06..211ad8fd93741 100644
--- a/asv_bench/benchmarks/arithmetic.py
+++ b/asv_bench/benchmarks/arithmetic.py
@@ -12,9 +12,13 @@
     to_timedelta,
 )
 import pandas._testing as tm
-from pandas.core.algorithms import checked_add_with_arr
+from pandas.core.algorithms import (
+    checked_add_with_arr,
+)
 
-from .pandas_vb_common import numeric_dtypes
+from .pandas_vb_common import (
+    numeric_dtypes,
+)
 
 try:
     import pandas.core.computation.expressions as expr
diff --git a/asv_bench/benchmarks/array.py b/asv_bench/benchmarks/array.py
index ecd8c26ba6ca5..0b8c17f6f386b 100644
--- a/asv_bench/benchmarks/array.py
+++ b/asv_bench/benchmarks/array.py
@@ -2,7 +2,9 @@
 
 import pandas as pd
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class BooleanArray:
diff --git a/asv_bench/benchmarks/attrs_caching.py b/asv_bench/benchmarks/attrs_caching.py
index 2a004113d1b91..bc9f85062a4bd 100644
--- a/asv_bench/benchmarks/attrs_caching.py
+++ b/asv_bench/benchmarks/attrs_caching.py
@@ -1,10 +1,14 @@
 import numpy as np
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 try:
-    from pandas.core.construction import extract_array
+    from pandas.core.construction import (
+        extract_array,
+    )
 except ImportError:
     extract_array = None
 
diff --git a/asv_bench/benchmarks/categoricals.py b/asv_bench/benchmarks/categoricals.py
index 02747911d2226..99c250d48c69a 100644
--- a/asv_bench/benchmarks/categoricals.py
+++ b/asv_bench/benchmarks/categoricals.py
@@ -6,13 +6,19 @@
 
 import pandas as pd
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 try:
-    from pandas.api.types import union_categoricals
+    from pandas.api.types import (
+        union_categoricals,
+    )
 except ImportError:
     try:
-        from pandas.types.concat import union_categoricals
+        from pandas.types.concat import (
+            union_categoricals,
+        )
     except ImportError:
         pass
 
diff --git a/asv_bench/benchmarks/ctors.py b/asv_bench/benchmarks/ctors.py
index 2db00cc7f2ad9..57ce7993fb663 100644
--- a/asv_bench/benchmarks/ctors.py
+++ b/asv_bench/benchmarks/ctors.py
@@ -9,7 +9,9 @@
     date_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 def no_change(arr):
diff --git a/asv_bench/benchmarks/dtypes.py b/asv_bench/benchmarks/dtypes.py
index 52c87455b12b3..c96c61398fe0d 100644
--- a/asv_bench/benchmarks/dtypes.py
+++ b/asv_bench/benchmarks/dtypes.py
@@ -3,7 +3,9 @@
 import numpy as np
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 from pandas.api.types import (
     is_extension_array_dtype,
diff --git a/asv_bench/benchmarks/frame_ctor.py b/asv_bench/benchmarks/frame_ctor.py
index 7092a679b8cf0..77e167e29561f 100644
--- a/asv_bench/benchmarks/frame_ctor.py
+++ b/asv_bench/benchmarks/frame_ctor.py
@@ -12,7 +12,9 @@
     date_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 try:
     from pandas.tseries.offsets import (
diff --git a/asv_bench/benchmarks/frame_methods.py b/asv_bench/benchmarks/frame_methods.py
index f7da4882b0d3f..cf73817e7b6be 100644
--- a/asv_bench/benchmarks/frame_methods.py
+++ b/asv_bench/benchmarks/frame_methods.py
@@ -14,7 +14,9 @@
     timedelta_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class Clip:
diff --git a/asv_bench/benchmarks/gil.py b/asv_bench/benchmarks/gil.py
index 4d5c31d2dddf8..209c4a81aeca2 100644
--- a/asv_bench/benchmarks/gil.py
+++ b/asv_bench/benchmarks/gil.py
@@ -1,4 +1,6 @@
-from functools import wraps
+from functools import (
+    wraps,
+)
 import threading
 
 import numpy as np
@@ -10,9 +12,13 @@
     factorize,
     read_csv,
 )
-from pandas.core.algorithms import take_nd
+from pandas.core.algorithms import (
+    take_nd,
+)
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 try:
     from pandas import (
@@ -30,11 +36,12 @@
 except ImportError:
     have_rolling_methods = False
 try:
-    from pandas._libs import algos
+    from pandas._libs import (
+        algos,
+    )
 except ImportError:
     from pandas import algos
 
-
 from .pandas_vb_common import BaseIO  # isort:skip
 
 
diff --git a/asv_bench/benchmarks/groupby.py b/asv_bench/benchmarks/groupby.py
index 4c0f3ddd826b7..0486a6bc741ba 100644
--- a/asv_bench/benchmarks/groupby.py
+++ b/asv_bench/benchmarks/groupby.py
@@ -1,6 +1,12 @@
-from functools import partial
-from itertools import product
-from string import ascii_letters
+from functools import (
+    partial,
+)
+from itertools import (
+    product,
+)
+from string import (
+    ascii_letters,
+)
 
 import numpy as np
 
@@ -17,7 +23,9 @@
     to_timedelta,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 method_blocklist = {
     "object": {
diff --git a/asv_bench/benchmarks/index_object.py b/asv_bench/benchmarks/index_object.py
index bdc8a6a7aa1df..9e93d86c27e76 100644
--- a/asv_bench/benchmarks/index_object.py
+++ b/asv_bench/benchmarks/index_object.py
@@ -12,7 +12,9 @@
     date_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class SetOperations:
diff --git a/asv_bench/benchmarks/indexing.py b/asv_bench/benchmarks/indexing.py
index 53827cfcf64fb..04f10546e37f8 100644
--- a/asv_bench/benchmarks/indexing.py
+++ b/asv_bench/benchmarks/indexing.py
@@ -21,7 +21,9 @@
     period_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class NumericSeriesIndexing:
diff --git a/asv_bench/benchmarks/indexing_engines.py b/asv_bench/benchmarks/indexing_engines.py
index 6585a4be78dc6..f9e9d98c77cf6 100644
--- a/asv_bench/benchmarks/indexing_engines.py
+++ b/asv_bench/benchmarks/indexing_engines.py
@@ -10,9 +10,13 @@
 
 import numpy as np
 
-from pandas._libs import index as libindex
+from pandas._libs import (
+    index as libindex,
+)
 
-from pandas.core.arrays import BaseMaskedArray
+from pandas.core.arrays import (
+    BaseMaskedArray,
+)
 
 
 def _get_numeric_engines():
diff --git a/asv_bench/benchmarks/io/excel.py b/asv_bench/benchmarks/io/excel.py
index 093a35a20dc5a..735102ce49cfc 100644
--- a/asv_bench/benchmarks/io/excel.py
+++ b/asv_bench/benchmarks/io/excel.py
@@ -1,13 +1,19 @@
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 
 import numpy as np
-from odf.opendocument import OpenDocumentSpreadsheet
+from odf.opendocument import (
+    OpenDocumentSpreadsheet,
+)
 from odf.table import (
     Table,
     TableCell,
     TableRow,
 )
-from odf.text import P
+from odf.text import (
+    P,
+)
 
 from pandas import (
     DataFrame,
@@ -16,7 +22,9 @@
     read_excel,
 )
 
-from ..pandas_vb_common import tm
+from ..pandas_vb_common import (
+    tm,
+)
 
 
 def _generate_dataframe():
diff --git a/asv_bench/benchmarks/io/sas.py b/asv_bench/benchmarks/io/sas.py
index 411e5b6099f76..83343f8b2ede2 100644
--- a/asv_bench/benchmarks/io/sas.py
+++ b/asv_bench/benchmarks/io/sas.py
@@ -1,6 +1,10 @@
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 
-from pandas import read_sas
+from pandas import (
+    read_sas,
+)
 
 ROOT = Path(__file__).parents[3] / "pandas" / "tests" / "io" / "sas" / "data"
 
diff --git a/asv_bench/benchmarks/io/sql.py b/asv_bench/benchmarks/io/sql.py
index 6f893ee72d918..b1cc40674e77c 100644
--- a/asv_bench/benchmarks/io/sql.py
+++ b/asv_bench/benchmarks/io/sql.py
@@ -1,7 +1,9 @@
 import sqlite3
 
 import numpy as np
-from sqlalchemy import create_engine
+from sqlalchemy import (
+    create_engine,
+)
 
 from pandas import (
     DataFrame,
@@ -10,7 +12,9 @@
     read_sql_table,
 )
 
-from ..pandas_vb_common import tm
+from ..pandas_vb_common import (
+    tm,
+)
 
 
 class SQL:
diff --git a/asv_bench/benchmarks/join_merge.py b/asv_bench/benchmarks/join_merge.py
index eaa51730477cc..e27c846b75b17 100644
--- a/asv_bench/benchmarks/join_merge.py
+++ b/asv_bench/benchmarks/join_merge.py
@@ -14,12 +14,18 @@
     merge_asof,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 try:
-    from pandas import merge_ordered
+    from pandas import (
+        merge_ordered,
+    )
 except ImportError:
-    from pandas import ordered_merge as merge_ordered
+    from pandas import (
+        ordered_merge as merge_ordered,
+    )
 
 
 class Concat:
diff --git a/asv_bench/benchmarks/libs.py b/asv_bench/benchmarks/libs.py
index f041499c9c622..41a1fa05f1ba9 100644
--- a/asv_bench/benchmarks/libs.py
+++ b/asv_bench/benchmarks/libs.py
@@ -24,9 +24,13 @@
 )
 
 try:
-    from pandas.util import cache_readonly
+    from pandas.util import (
+        cache_readonly,
+    )
 except ImportError:
-    from pandas.util.decorators import cache_readonly
+    from pandas.util.decorators import (
+        cache_readonly,
+    )
 
 
 # TODO: share with something in pd._testing?
diff --git a/asv_bench/benchmarks/multiindex_object.py b/asv_bench/benchmarks/multiindex_object.py
index 9c997b5386eaa..4c7e562943fee 100644
--- a/asv_bench/benchmarks/multiindex_object.py
+++ b/asv_bench/benchmarks/multiindex_object.py
@@ -12,7 +12,9 @@
     date_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class GetLoc:
diff --git a/asv_bench/benchmarks/pandas_vb_common.py b/asv_bench/benchmarks/pandas_vb_common.py
index 97d91111e833a..61a57e5b2b74d 100644
--- a/asv_bench/benchmarks/pandas_vb_common.py
+++ b/asv_bench/benchmarks/pandas_vb_common.py
@@ -1,4 +1,6 @@
-from importlib import import_module
+from importlib import (
+    import_module,
+)
 import os
 
 import numpy as np
diff --git a/asv_bench/benchmarks/period.py b/asv_bench/benchmarks/period.py
index 501fe198d41d8..0f5bf4c816bf2 100644
--- a/asv_bench/benchmarks/period.py
+++ b/asv_bench/benchmarks/period.py
@@ -11,7 +11,9 @@
     period_range,
 )
 
-from pandas.tseries.frequencies import to_offset
+from pandas.tseries.frequencies import (
+    to_offset,
+)
 
 
 class PeriodIndexConstructor:
diff --git a/asv_bench/benchmarks/plotting.py b/asv_bench/benchmarks/plotting.py
index 789bb8d8533b1..28be80166afa1 100644
--- a/asv_bench/benchmarks/plotting.py
+++ b/asv_bench/benchmarks/plotting.py
@@ -5,7 +5,9 @@
 import pathlib
 import sys
 import tempfile
-from unittest import mock
+from unittest import (
+    mock,
+)
 
 import matplotlib
 import numpy as np
@@ -18,11 +20,15 @@
 )
 
 try:
-    from pandas.plotting import andrews_curves
+    from pandas.plotting import (
+        andrews_curves,
+    )
 except ImportError:
     from pandas.tools.plotting import andrews_curves
 
-from pandas.plotting._core import _get_plot_backend
+from pandas.plotting._core import (
+    _get_plot_backend,
+)
 
 matplotlib.use("Agg")
 
diff --git a/asv_bench/benchmarks/reindex.py b/asv_bench/benchmarks/reindex.py
index eac4bb38eb18f..206bada870f11 100644
--- a/asv_bench/benchmarks/reindex.py
+++ b/asv_bench/benchmarks/reindex.py
@@ -9,7 +9,9 @@
     period_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class Reindex:
diff --git a/asv_bench/benchmarks/reshape.py b/asv_bench/benchmarks/reshape.py
index 551af7ccb40bc..749a231998660 100644
--- a/asv_bench/benchmarks/reshape.py
+++ b/asv_bench/benchmarks/reshape.py
@@ -1,4 +1,6 @@
-from itertools import product
+from itertools import (
+    product,
+)
 import string
 
 import numpy as np
@@ -11,7 +13,9 @@
     melt,
     wide_to_long,
 )
-from pandas.api.types import CategoricalDtype
+from pandas.api.types import (
+    CategoricalDtype,
+)
 
 
 class Melt:
diff --git a/asv_bench/benchmarks/series_methods.py b/asv_bench/benchmarks/series_methods.py
index 06c4589297cda..d80028b971edd 100644
--- a/asv_bench/benchmarks/series_methods.py
+++ b/asv_bench/benchmarks/series_methods.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
@@ -10,7 +12,9 @@
     date_range,
 )
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class SeriesConstructor:
diff --git a/asv_bench/benchmarks/sparse.py b/asv_bench/benchmarks/sparse.py
index c8a9a9e6e9176..92ff7049e1427 100644
--- a/asv_bench/benchmarks/sparse.py
+++ b/asv_bench/benchmarks/sparse.py
@@ -7,7 +7,9 @@
     Series,
     date_range,
 )
-from pandas.arrays import SparseArray
+from pandas.arrays import (
+    SparseArray,
+)
 
 
 def make_array(size, dense_proportion, fill_value, dtype):
diff --git a/asv_bench/benchmarks/strftime.py b/asv_bench/benchmarks/strftime.py
index ac1b7f65d2d90..6ebdafdf19700 100644
--- a/asv_bench/benchmarks/strftime.py
+++ b/asv_bench/benchmarks/strftime.py
@@ -1,7 +1,9 @@
 import numpy as np
 
 import pandas as pd
-from pandas import offsets
+from pandas import (
+    offsets,
+)
 
 
 class DatetimeStrftime:
diff --git a/asv_bench/benchmarks/strings.py b/asv_bench/benchmarks/strings.py
index 59b7cd2accf88..3a565dcca2583 100644
--- a/asv_bench/benchmarks/strings.py
+++ b/asv_bench/benchmarks/strings.py
@@ -8,9 +8,13 @@
     DataFrame,
     Series,
 )
-from pandas.arrays import StringArray
+from pandas.arrays import (
+    StringArray,
+)
 
-from .pandas_vb_common import tm
+from .pandas_vb_common import (
+    tm,
+)
 
 
 class Dtypes:
diff --git a/asv_bench/benchmarks/timeseries.py b/asv_bench/benchmarks/timeseries.py
index 1253fefde2d5f..cc959e1eeaeb5 100644
--- a/asv_bench/benchmarks/timeseries.py
+++ b/asv_bench/benchmarks/timeseries.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import dateutil
 import numpy as np
@@ -11,12 +13,18 @@
     timedelta_range,
 )
 
-from pandas.tseries.frequencies import infer_freq
+from pandas.tseries.frequencies import (
+    infer_freq,
+)
 
 try:
-    from pandas.plotting._matplotlib.converter import DatetimeConverter
+    from pandas.plotting._matplotlib.converter import (
+        DatetimeConverter,
+    )
 except ImportError:
-    from pandas.tseries.converter import DatetimeConverter
+    from pandas.tseries.converter import (
+        DatetimeConverter,
+    )
 
 
 class DatetimeIndex:
diff --git a/asv_bench/benchmarks/tslibs/fields.py b/asv_bench/benchmarks/tslibs/fields.py
index 23ae73811204c..a26dc3b5e9017 100644
--- a/asv_bench/benchmarks/tslibs/fields.py
+++ b/asv_bench/benchmarks/tslibs/fields.py
@@ -6,7 +6,9 @@
     get_timedelta_field,
 )
 
-from .tslib import _sizes
+from .tslib import (
+    _sizes,
+)
 
 
 class TimeGetTimedeltaField:
diff --git a/asv_bench/benchmarks/tslibs/offsets.py b/asv_bench/benchmarks/tslibs/offsets.py
index 1f48ec504acf1..2559204539b41 100644
--- a/asv_bench/benchmarks/tslibs/offsets.py
+++ b/asv_bench/benchmarks/tslibs/offsets.py
@@ -2,11 +2,15 @@
 offsets benchmarks that rely only on tslibs.  See benchmarks.offset for
 offsets benchmarks that rely on other parts of pandas.
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
-from pandas import offsets
+from pandas import (
+    offsets,
+)
 
 try:
     import pandas.tseries.holiday
diff --git a/asv_bench/benchmarks/tslibs/period.py b/asv_bench/benchmarks/tslibs/period.py
index 2d192889c39f3..d8c9467cf5c3c 100644
--- a/asv_bench/benchmarks/tslibs/period.py
+++ b/asv_bench/benchmarks/tslibs/period.py
@@ -10,7 +10,9 @@
     periodarr_to_dt64arr,
 )
 
-from pandas.tseries.frequencies import to_offset
+from pandas.tseries.frequencies import (
+    to_offset,
+)
 
 from .tslib import (
     _sizes,
@@ -19,9 +21,13 @@
 )
 
 try:
-    from pandas._libs.tslibs.vectorized import dt64arr_to_periodarr
+    from pandas._libs.tslibs.vectorized import (
+        dt64arr_to_periodarr,
+    )
 except ImportError:
-    from pandas._libs.tslibs.period import dt64arr_to_periodarr
+    from pandas._libs.tslibs.period import (
+        dt64arr_to_periodarr,
+    )
 
 
 class PeriodProperties:
diff --git a/asv_bench/benchmarks/tslibs/resolution.py b/asv_bench/benchmarks/tslibs/resolution.py
index 44f288c7de216..0381046cd73bd 100644
--- a/asv_bench/benchmarks/tslibs/resolution.py
+++ b/asv_bench/benchmarks/tslibs/resolution.py
@@ -20,7 +20,9 @@
 import numpy as np
 
 try:
-    from pandas._libs.tslibs import get_resolution
+    from pandas._libs.tslibs import (
+        get_resolution,
+    )
 except ImportError:
     from pandas._libs.tslibs.resolution import get_resolution
 
diff --git a/asv_bench/benchmarks/tslibs/timedelta.py b/asv_bench/benchmarks/tslibs/timedelta.py
index 2daf1861eb80a..c1f0b40139ebe 100644
--- a/asv_bench/benchmarks/tslibs/timedelta.py
+++ b/asv_bench/benchmarks/tslibs/timedelta.py
@@ -6,7 +6,9 @@
 
 import numpy as np
 
-from pandas import Timedelta
+from pandas import (
+    Timedelta,
+)
 
 
 class TimedeltaConstructor:
diff --git a/asv_bench/benchmarks/tslibs/timestamp.py b/asv_bench/benchmarks/tslibs/timestamp.py
index d7706a39dfae5..9b5152de2543d 100644
--- a/asv_bench/benchmarks/tslibs/timestamp.py
+++ b/asv_bench/benchmarks/tslibs/timestamp.py
@@ -1,11 +1,17 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytz
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
-from .tslib import _tzs
+from .tslib import (
+    _tzs,
+)
 
 
 class TimestampConstruction:
diff --git a/asv_bench/benchmarks/tslibs/tslib.py b/asv_bench/benchmarks/tslibs/tslib.py
index 97ec80201dd16..6ea7e3ae21d37 100644
--- a/asv_bench/benchmarks/tslibs/tslib.py
+++ b/asv_bench/benchmarks/tslibs/tslib.py
@@ -28,9 +28,13 @@
 import pytz
 
 try:
-    from pandas._libs.tslibs import ints_to_pydatetime
+    from pandas._libs.tslibs import (
+        ints_to_pydatetime,
+    )
 except ImportError:
-    from pandas._libs.tslib import ints_to_pydatetime
+    from pandas._libs.tslib import (
+        ints_to_pydatetime,
+    )
 
 tzlocal_obj = tzlocal()
 _tzs = [
diff --git a/asv_bench/benchmarks/tslibs/tz_convert.py b/asv_bench/benchmarks/tslibs/tz_convert.py
index c6b510efdca69..e66c54281a214 100644
--- a/asv_bench/benchmarks/tslibs/tz_convert.py
+++ b/asv_bench/benchmarks/tslibs/tz_convert.py
@@ -1,7 +1,11 @@
 import numpy as np
-from pytz import UTC
+from pytz import (
+    UTC,
+)
 
-from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
+from pandas._libs.tslibs.tzconversion import (
+    tz_localize_to_utc,
+)
 
 from .tslib import (
     _sizes,
@@ -11,14 +15,20 @@
 
 try:
     old_sig = False
-    from pandas._libs.tslibs import tz_convert_from_utc
+    from pandas._libs.tslibs import (
+        tz_convert_from_utc,
+    )
 except ImportError:
     try:
         old_sig = False
-        from pandas._libs.tslibs.tzconversion import tz_convert_from_utc
+        from pandas._libs.tslibs.tzconversion import (
+            tz_convert_from_utc,
+        )
     except ImportError:
         old_sig = True
-        from pandas._libs.tslibs.tzconversion import tz_convert as tz_convert_from_utc
+        from pandas._libs.tslibs.tzconversion import (
+            tz_convert as tz_convert_from_utc,
+        )
 
 
 class TimeTZConvert:
diff --git a/doc/scripts/eval_performance.py b/doc/scripts/eval_performance.py
index 559689ef5915b..4c3fac3dfdfa4 100644
--- a/doc/scripts/eval_performance.py
+++ b/doc/scripts/eval_performance.py
@@ -1,9 +1,13 @@
-from timeit import repeat as timeit
+from timeit import (
+    repeat as timeit,
+)
 
 import numpy as np
 import seaborn as sns
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 setup_common = """from pandas import DataFrame
 import numpy as np
@@ -65,7 +69,9 @@ def bench(mn=3, mx=7, num=100, engines=("python", "numexpr"), verbose=False):
 
 
 def plot_perf(df, engines, title, filename=None):
-    from matplotlib.pyplot import figure
+    from matplotlib.pyplot import (
+        figure,
+    )
 
     sns.set()
     sns.set_palette("Set2")
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 6671cefae9073..97ea27d09f69b 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -9,7 +9,9 @@
 #
 # All configuration values have a default; values that are commented out
 # serve to show the default.
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import importlib
 import inspect
 import logging
@@ -18,8 +20,12 @@
 import warnings
 
 import jinja2
-from numpydoc.docscrape import NumpyDocString
-from sphinx.ext.autosummary import _import_by_name
+from numpydoc.docscrape import (
+    NumpyDocString,
+)
+from sphinx.ext.autosummary import (
+    _import_by_name,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -586,7 +592,9 @@ def format_name(self):
         if sys.version_info < (3, 9):
             # NOTE pyupgrade will remove this when we run it with --py39-plus
             # so don't remove the unnecessary `else` statement below
-            from pandas.util._str_methods import removesuffix
+            from pandas.util._str_methods import (
+                removesuffix,
+            )
 
             return removesuffix(MethodDocumenter.format_name(self), ".__call__")
         else:
diff --git a/doc/sphinxext/announce.py b/doc/sphinxext/announce.py
index 1c45c03f36d64..dbf3ff48eb307 100755
--- a/doc/sphinxext/announce.py
+++ b/doc/sphinxext/announce.py
@@ -37,7 +37,9 @@
 import re
 import textwrap
 
-from git import Repo
+from git import (
+    Repo,
+)
 
 UTF8Writer = codecs.getwriter("utf8")
 this_repo = Repo(os.path.join(os.path.dirname(__file__), "..", ".."))
@@ -153,7 +155,9 @@ def main(revision_range):
 
 
 if __name__ == "__main__":
-    from argparse import ArgumentParser
+    from argparse import (
+        ArgumentParser,
+    )
 
     parser = ArgumentParser(description="Generate author lists for release")
     parser.add_argument("revision_range", help="<revision>..<revision>")
diff --git a/doc/sphinxext/contributors.py b/doc/sphinxext/contributors.py
index c2b21e40cadad..4f79436cb8317 100644
--- a/doc/sphinxext/contributors.py
+++ b/doc/sphinxext/contributors.py
@@ -14,9 +14,15 @@
 While the v0.23.1 tag does not exist, that will use the HEAD of the
 branch as the end of the revision range.
 """
-from announce import build_components
-from docutils import nodes
-from docutils.parsers.rst import Directive
+from announce import (
+    build_components,
+)
+from docutils import (
+    nodes,
+)
+from docutils.parsers.rst import (
+    Directive,
+)
 import git
 
 
diff --git a/pandas/_config/__init__.py b/pandas/_config/__init__.py
index d12dd3b4cb8aa..05074e14890a5 100644
--- a/pandas/_config/__init__.py
+++ b/pandas/_config/__init__.py
@@ -16,7 +16,9 @@
     "options",
     "using_copy_on_write",
 ]
-from pandas._config import config
+from pandas._config import (
+    config,
+)
 from pandas._config import dates  # pyright: ignore # noqa:F401
 from pandas._config.config import (
     _global_config,
@@ -27,7 +29,9 @@
     reset_option,
     set_option,
 )
-from pandas._config.display import detect_console_encoding
+from pandas._config.display import (
+    detect_console_encoding,
+)
 
 
 def using_copy_on_write():
diff --git a/pandas/_config/config.py b/pandas/_config/config.py
index 4d87e8dca6d16..0e3e734ddcdc8 100644
--- a/pandas/_config/config.py
+++ b/pandas/_config/config.py
@@ -48,7 +48,9 @@
 
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from contextlib import (
     ContextDecorator,
@@ -70,7 +72,9 @@
     F,
     T,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 
 class DeprecatedOption(NamedTuple):
@@ -702,8 +706,12 @@ def _build_option_description(k: str) -> str:
 
 def pp_options_list(keys: Iterable[str], width: int = 80, _print: bool = False):
     """Builds a concise listing of available options, grouped by prefix"""
-    from itertools import groupby
-    from textwrap import wrap
+    from itertools import (
+        groupby,
+    )
+    from textwrap import (
+        wrap,
+    )
 
     def pp(name: str, ks: Iterable[str]) -> list[str]:
         pfx = "- " + name + ".[" if name else ""
diff --git a/pandas/_config/dates.py b/pandas/_config/dates.py
index b37831f96eb73..18c92ced2bd6a 100644
--- a/pandas/_config/dates.py
+++ b/pandas/_config/dates.py
@@ -1,9 +1,13 @@
 """
 config for datetime formatting
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pandas._config import config as cf
+from pandas._config import (
+    config as cf,
+)
 
 pc_date_dayfirst_doc = """
 : boolean
diff --git a/pandas/_config/display.py b/pandas/_config/display.py
index df2c3ad36c855..3d4da0abac124 100644
--- a/pandas/_config/display.py
+++ b/pandas/_config/display.py
@@ -2,12 +2,16 @@
 Unopinionated display configuration.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import locale
 import sys
 
-from pandas._config import config as cf
+from pandas._config import (
+    config as cf,
+)
 
 # -----------------------------------------------------------------------------
 # Global formatting options
diff --git a/pandas/_config/localization.py b/pandas/_config/localization.py
index 4e9a0142af3a4..5e77c2c96052c 100644
--- a/pandas/_config/localization.py
+++ b/pandas/_config/localization.py
@@ -3,16 +3,24 @@
 
 Name `localization` is chosen to avoid overlap with builtin `locale` module.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 import locale
 import platform
 import re
 import subprocess
-from typing import Generator
+from typing import (
+    Generator,
+)
 
-from pandas._config.config import options
+from pandas._config.config import (
+    options,
+)
 
 
 @contextmanager
diff --git a/pandas/_libs/__init__.py b/pandas/_libs/__init__.py
index f119e280f5867..1054e209b4255 100644
--- a/pandas/_libs/__init__.py
+++ b/pandas/_libs/__init__.py
@@ -10,7 +10,9 @@
 ]
 
 
-from pandas._libs.interval import Interval
+from pandas._libs.interval import (
+    Interval,
+)
 from pandas._libs.tslibs import (
     NaT,
     NaTType,
diff --git a/pandas/_libs/algos.pyi b/pandas/_libs/algos.pyi
index 20a805533e8cc..570222f63a5cf 100644
--- a/pandas/_libs/algos.pyi
+++ b/pandas/_libs/algos.pyi
@@ -1,8 +1,12 @@
-from typing import Any
+from typing import (
+    Any,
+)
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 class Infinity:
     """
diff --git a/pandas/_libs/algos.pyx b/pandas/_libs/algos.pyx
index 81fd5792ee9e5..140da2f0b6ac8 100644
--- a/pandas/_libs/algos.pyx
+++ b/pandas/_libs/algos.pyx
@@ -1,5 +1,7 @@
 cimport cython
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 from libc.math cimport (
     fabs,
     sqrt,
@@ -8,7 +10,9 @@ from libc.stdlib cimport (
     free,
     malloc,
 )
-from libc.string cimport memmove
+from libc.string cimport (
+    memmove,
+)
 
 import numpy as np
 
@@ -51,7 +55,9 @@ from pandas._libs.khash cimport (
     kh_resize_int64,
     khiter_t,
 )
-from pandas._libs.util cimport get_nat
+from pandas._libs.util cimport (
+    get_nat,
+)
 
 import pandas._libs.missing as missing
 
diff --git a/pandas/_libs/arrays.pxd b/pandas/_libs/arrays.pxd
index 737da29da46a4..9dc065cc55599 100644
--- a/pandas/_libs/arrays.pxd
+++ b/pandas/_libs/arrays.pxd
@@ -1,5 +1,7 @@
 
-from numpy cimport ndarray
+from numpy cimport (
+    ndarray,
+)
 
 
 cdef class NDArrayBacked:
diff --git a/pandas/_libs/arrays.pyi b/pandas/_libs/arrays.pyi
index c9350ed9b8a75..458f0d79087fa 100644
--- a/pandas/_libs/arrays.pyi
+++ b/pandas/_libs/arrays.pyi
@@ -1,4 +1,6 @@
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 import numpy as np
 
diff --git a/pandas/_libs/arrays.pyx b/pandas/_libs/arrays.pyx
index f63d16e819c92..0fd95a95a34d1 100644
--- a/pandas/_libs/arrays.pyx
+++ b/pandas/_libs/arrays.pyx
@@ -6,8 +6,12 @@ cimport cython
 import numpy as np
 
 cimport numpy as cnp
-from cpython cimport PyErr_Clear
-from numpy cimport ndarray
+from cpython cimport (
+    PyErr_Clear,
+)
+from numpy cimport (
+    ndarray,
+)
 
 cnp.import_array()
 
diff --git a/pandas/_libs/groupby.pyi b/pandas/_libs/groupby.pyi
index e3ca9c44d5664..fa7610fffe6d4 100644
--- a/pandas/_libs/groupby.pyi
+++ b/pandas/_libs/groupby.pyi
@@ -1,8 +1,12 @@
-from typing import Literal
+from typing import (
+    Literal,
+)
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def group_median_float64(
     out: np.ndarray,  # ndarray[float64_t, ndim=2]
diff --git a/pandas/_libs/groupby.pyx b/pandas/_libs/groupby.pyx
index 0c378acbc6dc3..cca9311ade4e5 100644
--- a/pandas/_libs/groupby.pyx
+++ b/pandas/_libs/groupby.pyx
@@ -23,11 +23,15 @@ from numpy cimport (
     uint8_t,
     uint64_t,
 )
-from numpy.math cimport NAN
+from numpy.math cimport (
+    NAN,
+)
 
 cnp.import_array()
 
-from pandas._libs cimport util
+from pandas._libs cimport (
+    util,
+)
 from pandas._libs.algos cimport (
     get_rank_nan_fill_val,
     kth_smallest_c,
@@ -44,7 +48,9 @@ from pandas._libs.dtypes cimport (
     numeric_object_t,
     numeric_t,
 )
-from pandas._libs.missing cimport checknull
+from pandas._libs.missing cimport (
+    checknull,
+)
 
 
 cdef int64_t NPY_NAT = util.get_nat()
diff --git a/pandas/_libs/hashing.pyi b/pandas/_libs/hashing.pyi
index 8361026e4a87d..7d3fb7edf1cd0 100644
--- a/pandas/_libs/hashing.pyi
+++ b/pandas/_libs/hashing.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def hash_object_array(
     arr: npt.NDArray[np.object_],
diff --git a/pandas/_libs/hashing.pyx b/pandas/_libs/hashing.pyx
index 197ec99247b4a..945ed69b0e242 100644
--- a/pandas/_libs/hashing.pyx
+++ b/pandas/_libs/hashing.pyx
@@ -18,7 +18,9 @@ from numpy cimport (
 
 import_array()
 
-from pandas._libs.util cimport is_nan
+from pandas._libs.util cimport (
+    is_nan,
+)
 
 
 @cython.boundscheck(False)
diff --git a/pandas/_libs/hashtable.pyi b/pandas/_libs/hashtable.pyi
index 2bc6d74fe6aee..c49f7f3d392d0 100644
--- a/pandas/_libs/hashtable.pyi
+++ b/pandas/_libs/hashtable.pyi
@@ -6,7 +6,9 @@ from typing import (
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def unique_label_indices(
     labels: np.ndarray,  # const int64_t[:]
diff --git a/pandas/_libs/hashtable.pyx b/pandas/_libs/hashtable.pyx
index ccac3d0b50d45..81d3dc4af9657 100644
--- a/pandas/_libs/hashtable.pyx
+++ b/pandas/_libs/hashtable.pyx
@@ -15,13 +15,19 @@ from libc.stdlib cimport (
 import numpy as np
 
 cimport numpy as cnp
-from numpy cimport ndarray
+from numpy cimport (
+    ndarray,
+)
 
 cnp.import_array()
 
 
-from pandas._libs cimport util
-from pandas._libs.dtypes cimport numeric_object_t
+from pandas._libs cimport (
+    util,
+)
+from pandas._libs.dtypes cimport (
+    numeric_object_t,
+)
 from pandas._libs.khash cimport (
     KHASH_TRACE_DOMAIN,
     are_equivalent_float32_t,
@@ -33,7 +39,9 @@ from pandas._libs.khash cimport (
     kh_python_hash_func,
     khiter_t,
 )
-from pandas._libs.missing cimport checknull
+from pandas._libs.missing cimport (
+    checknull,
+)
 
 
 def get_hashtable_trace_domain():
diff --git a/pandas/_libs/index.pyi b/pandas/_libs/index.pyi
index e08faaaa03139..e5081152173ea 100644
--- a/pandas/_libs/index.pyi
+++ b/pandas/_libs/index.pyi
@@ -1,9 +1,15 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
-from pandas import MultiIndex
-from pandas.core.arrays import ExtensionArray
+from pandas import (
+    MultiIndex,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 class IndexEngine:
     over_size_threshold: bool
diff --git a/pandas/_libs/index.pyx b/pandas/_libs/index.pyx
index 1b42ad1c0fda7..46fdf8b110a0d 100644
--- a/pandas/_libs/index.pyx
+++ b/pandas/_libs/index.pyx
@@ -14,23 +14,37 @@ from numpy cimport (
 cnp.import_array()
 
 
-from pandas._libs cimport util
-from pandas._libs.hashtable cimport HashTable
-from pandas._libs.tslibs.nattype cimport c_NaT as NaT
+from pandas._libs cimport (
+    util,
+)
+from pandas._libs.hashtable cimport (
+    HashTable,
+)
+from pandas._libs.tslibs.nattype cimport (
+    c_NaT as NaT,
+)
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     get_unit_from_dtype,
 )
-from pandas._libs.tslibs.period cimport is_period_object
-from pandas._libs.tslibs.timedeltas cimport _Timedelta
-from pandas._libs.tslibs.timestamps cimport _Timestamp
+from pandas._libs.tslibs.period cimport (
+    is_period_object,
+)
+from pandas._libs.tslibs.timedeltas cimport (
+    _Timedelta,
+)
+from pandas._libs.tslibs.timestamps cimport (
+    _Timestamp,
+)
 
 from pandas._libs import (
     algos,
     hashtable as _hash,
 )
 
-from pandas._libs.lib cimport eq_NA_compat
+from pandas._libs.lib cimport (
+    eq_NA_compat,
+)
 from pandas._libs.missing cimport (
     C_NA,
     checknull,
diff --git a/pandas/_libs/indexing.pyi b/pandas/_libs/indexing.pyi
index 3ae5c5044a2f7..8b9862af45934 100644
--- a/pandas/_libs/indexing.pyi
+++ b/pandas/_libs/indexing.pyi
@@ -3,7 +3,9 @@ from typing import (
     TypeVar,
 )
 
-from pandas.core.indexing import IndexingMixin
+from pandas.core.indexing import (
+    IndexingMixin,
+)
 
 _IndexingMixinT = TypeVar("_IndexingMixinT", bound=IndexingMixin)
 
diff --git a/pandas/_libs/internals.pyi b/pandas/_libs/internals.pyi
index 5dfcc3726c84f..fe9a5859f15b7 100644
--- a/pandas/_libs/internals.pyi
+++ b/pandas/_libs/internals.pyi
@@ -14,9 +14,15 @@ from pandas._typing import (
     npt,
 )
 
-from pandas import Index
-from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
-from pandas.core.internals.blocks import Block as B
+from pandas import (
+    Index,
+)
+from pandas.core.arrays._mixins import (
+    NDArrayBackedExtensionArray,
+)
+from pandas.core.internals.blocks import (
+    Block as B,
+)
 
 def slice_len(slc: slice, objlen: int = ...) -> int: ...
 def get_blkno_indexers(
diff --git a/pandas/_libs/internals.pyx b/pandas/_libs/internals.pyx
index 277243d72c536..446c5f74543e3 100644
--- a/pandas/_libs/internals.pyx
+++ b/pandas/_libs/internals.pyx
@@ -1,9 +1,15 @@
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 import weakref
 
 cimport cython
-from cpython.slice cimport PySlice_GetIndicesEx
-from cython cimport Py_ssize_t
+from cpython.slice cimport (
+    PySlice_GetIndicesEx,
+)
+from cython cimport (
+    Py_ssize_t,
+)
 
 
 cdef extern from "Python.h":
@@ -22,9 +28,13 @@ from numpy cimport (
 
 cnp.import_array()
 
-from pandas._libs.algos import ensure_int64
+from pandas._libs.algos import (
+    ensure_int64,
+)
 
-from pandas._libs.arrays cimport NDArrayBacked
+from pandas._libs.arrays cimport (
+    NDArrayBacked,
+)
 from pandas._libs.util cimport (
     is_array,
     is_integer_object,
@@ -569,7 +579,9 @@ cpdef update_blklocs_and_blknos(
 def _unpickle_block(values, placement, ndim):
     # We have to do some gymnastics b/c "ndim" is keyword-only
 
-    from pandas.core.internals.blocks import new_block
+    from pandas.core.internals.blocks import (
+        new_block,
+    )
 
     return new_block(values, placement, ndim=ndim)
 
@@ -621,7 +633,9 @@ cdef class SharedBlock:
         return _unpickle_block, args
 
     cpdef __setstate__(self, state):
-        from pandas.core.construction import extract_array
+        from pandas.core.construction import (
+            extract_array,
+        )
 
         self.mgr_locs = BlockPlacement(state[0])
         self.values = extract_array(state[1], extract_numpy=True)
@@ -630,7 +644,9 @@ cdef class SharedBlock:
             self.ndim = state[2]
         else:
             # older pickle
-            from pandas.core.internals.api import maybe_infer_ndim
+            from pandas.core.internals.api import (
+                maybe_infer_ndim,
+            )
 
             ndim = maybe_infer_ndim(self.values, self.mgr_locs)
             self.ndim = ndim
@@ -792,12 +808,16 @@ cdef class BlockManager:
         return type(self), args
 
     cpdef __setstate__(self, state):
-        from pandas.core.construction import extract_array
+        from pandas.core.construction import (
+            extract_array,
+        )
         from pandas.core.internals.blocks import (
             ensure_block_shape,
             new_block,
         )
-        from pandas.core.internals.managers import ensure_index
+        from pandas.core.internals.managers import (
+            ensure_index,
+        )
 
         if isinstance(state, tuple) and len(state) >= 4 and "0.14.1" in state[3]:
             state = state[3]["0.14.1"]
diff --git a/pandas/_libs/interval.pyx b/pandas/_libs/interval.pyx
index 14b7baf7f5a08..19811c7cf1ccf 100644
--- a/pandas/_libs/interval.pyx
+++ b/pandas/_libs/interval.pyx
@@ -12,8 +12,12 @@ from cpython.datetime cimport (
 import_datetime()
 
 cimport cython
-from cpython.object cimport PyObject_RichCompare
-from cython cimport Py_ssize_t
+from cpython.object cimport (
+    PyObject_RichCompare,
+)
+from cython cimport (
+    Py_ssize_t,
+)
 
 import numpy as np
 
@@ -31,11 +35,21 @@ from numpy cimport (
 cnp.import_array()
 
 
-from pandas._libs cimport util
-from pandas._libs.hashtable cimport Int64Vector
-from pandas._libs.tslibs.timedeltas cimport _Timedelta
-from pandas._libs.tslibs.timestamps cimport _Timestamp
-from pandas._libs.tslibs.timezones cimport tz_compare
+from pandas._libs cimport (
+    util,
+)
+from pandas._libs.hashtable cimport (
+    Int64Vector,
+)
+from pandas._libs.tslibs.timedeltas cimport (
+    _Timedelta,
+)
+from pandas._libs.tslibs.timestamps cimport (
+    _Timestamp,
+)
+from pandas._libs.tslibs.timezones cimport (
+    tz_compare,
+)
 from pandas._libs.tslibs.util cimport (
     is_float_object,
     is_integer_object,
diff --git a/pandas/_libs/join.pyi b/pandas/_libs/join.pyi
index 11b65b859095f..259e37595dcfc 100644
--- a/pandas/_libs/join.pyi
+++ b/pandas/_libs/join.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def inner_join(
     left: np.ndarray,  # const intp_t[:]
diff --git a/pandas/_libs/join.pyx b/pandas/_libs/join.pyx
index 667eda1b1f1da..4a8b7229ae943 100644
--- a/pandas/_libs/join.pyx
+++ b/pandas/_libs/join.pyx
@@ -1,5 +1,8 @@
 cimport cython
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
+
 import numpy as np
 
 cimport numpy as cnp
@@ -12,7 +15,9 @@ from numpy cimport (
 
 cnp.import_array()
 
-from pandas._libs.algos import groupsort_indexer
+from pandas._libs.algos import (
+    groupsort_indexer,
+)
 
 from pandas._libs.dtypes cimport (
     numeric_object_t,
diff --git a/pandas/_libs/khash.pxd b/pandas/_libs/khash.pxd
index a9f819e5e16db..d4f870701e52b 100644
--- a/pandas/_libs/khash.pxd
+++ b/pandas/_libs/khash.pxd
@@ -1,4 +1,6 @@
-from cpython.object cimport PyObject
+from cpython.object cimport (
+    PyObject,
+)
 from numpy cimport (
     complex64_t,
     complex128_t,
diff --git a/pandas/_libs/lib.pxd b/pandas/_libs/lib.pxd
index 46a339f2e7cbb..378b23d659347 100644
--- a/pandas/_libs/lib.pxd
+++ b/pandas/_libs/lib.pxd
@@ -1,4 +1,6 @@
-from numpy cimport ndarray
+from numpy cimport (
+    ndarray,
+)
 
 
 cdef bint c_is_list_like(object, bint) except -1
diff --git a/pandas/_libs/lib.pyi b/pandas/_libs/lib.pyi
index fbc577712d294..156733374ab8d 100644
--- a/pandas/_libs/lib.pyi
+++ b/pandas/_libs/lib.pyi
@@ -22,7 +22,9 @@ from pandas._typing import (
 # placeholder until we can specify np.ndarray[object, ndim=2]
 ndarray_obj_2d = np.ndarray
 
-from enum import Enum
+from enum import (
+    Enum,
+)
 
 class _NoDefault(Enum):
     no_default = ...
diff --git a/pandas/_libs/lib.pyx b/pandas/_libs/lib.pyx
index d20f87ec91d1b..9ee3531b83a66 100644
--- a/pandas/_libs/lib.pyx
+++ b/pandas/_libs/lib.pyx
@@ -1,6 +1,12 @@
-from collections import abc
-from decimal import Decimal
-from enum import Enum
+from collections import (
+    abc,
+)
+from decimal import (
+    Decimal,
+)
+from enum import (
+    Enum,
+)
 from typing import (
     Literal,
     _GenericAlias,
@@ -14,16 +20,24 @@ from cpython.datetime cimport (
     PyTime_Check,
     import_datetime,
 )
-from cpython.iterator cimport PyIter_Check
-from cpython.number cimport PyNumber_Check
+from cpython.iterator cimport (
+    PyIter_Check,
+)
+from cpython.number cimport (
+    PyNumber_Check,
+)
 from cpython.object cimport (
     Py_EQ,
     PyObject,
     PyObject_RichCompareBool,
     PyTypeObject,
 )
-from cpython.ref cimport Py_INCREF
-from cpython.sequence cimport PySequence_Check
+from cpython.ref cimport (
+    Py_INCREF,
+)
+from cpython.sequence cimport (
+    PySequence_Check,
+)
 from cpython.tuple cimport (
     PyTuple_New,
     PyTuple_SET_ITEM,
@@ -33,7 +47,9 @@ from cython cimport (
     floating,
 )
 
-from pandas._libs.missing import check_na_tuples_nonequal
+from pandas._libs.missing import (
+    check_na_tuples_nonequal,
+)
 
 import_datetime()
 
@@ -92,7 +108,9 @@ cdef extern from "numpy/ndarrayobject.h":
 cdef extern from "src/parse_helper.h":
     int floatify(object, float64_t *result, int *maybe_int) except -1
 
-from pandas._libs cimport util
+from pandas._libs cimport (
+    util,
+)
 from pandas._libs.util cimport (
     INT64_MAX,
     INT64_MIN,
@@ -104,7 +122,9 @@ from pandas._libs.tslibs import (
     OutOfBoundsDatetime,
     OutOfBoundsTimedelta,
 )
-from pandas._libs.tslibs.period import Period
+from pandas._libs.tslibs.period import (
+    Period,
+)
 
 from pandas._libs.missing cimport (
     C_NA,
@@ -122,11 +142,21 @@ from pandas._libs.tslibs.nattype cimport (
     c_NaT as NaT,
     checknull_with_nat,
 )
-from pandas._libs.tslibs.np_datetime cimport NPY_FR_ns
-from pandas._libs.tslibs.offsets cimport is_offset_object
-from pandas._libs.tslibs.period cimport is_period_object
-from pandas._libs.tslibs.timedeltas cimport convert_to_timedelta64
-from pandas._libs.tslibs.timezones cimport tz_compare
+from pandas._libs.tslibs.np_datetime cimport (
+    NPY_FR_ns,
+)
+from pandas._libs.tslibs.offsets cimport (
+    is_offset_object,
+)
+from pandas._libs.tslibs.period cimport (
+    is_period_object,
+)
+from pandas._libs.tslibs.timedeltas cimport (
+    convert_to_timedelta64,
+)
+from pandas._libs.tslibs.timezones cimport (
+    tz_compare,
+)
 
 # constants that will be compared to potentially arbitrarily large
 # python int
@@ -612,7 +642,9 @@ def array_equivalent_object(ndarray left, ndarray right) -> bool:
                 else:
                     # Circular import isn't great, but so it goes.
                     # TODO: could use np.array_equal?
-                    from pandas.core.dtypes.missing import array_equivalent
+                    from pandas.core.dtypes.missing import (
+                        array_equivalent,
+                    )
 
                     if not array_equivalent(x, y):
                         return False
@@ -1498,7 +1530,9 @@ def infer_dtype(value: object, skipna: bool = True) -> str:
         if not value:
             return "empty"
 
-        from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+        from pandas.core.dtypes.cast import (
+            construct_1d_object_array_from_listlike,
+        )
         values = construct_1d_object_array_from_listlike(value)
 
     inferred = _try_infer_map(values.dtype)
@@ -2560,7 +2594,9 @@ def maybe_convert_objects(ndarray[object] objects,
     # we try to coerce datetime w/tz but must all have the same tz
     if seen.datetimetz_:
         if is_datetime_with_singletz_array(objects):
-            from pandas import DatetimeIndex
+            from pandas import (
+                DatetimeIndex,
+            )
 
             try:
                 dti = DatetimeIndex(objects)
@@ -2574,7 +2610,9 @@ def maybe_convert_objects(ndarray[object] objects,
 
     elif seen.datetime_:
         if is_datetime_or_datetime64_array(objects):
-            from pandas import DatetimeIndex
+            from pandas import (
+                DatetimeIndex,
+            )
 
             try:
                 dti = DatetimeIndex(objects)
@@ -2587,7 +2625,9 @@ def maybe_convert_objects(ndarray[object] objects,
 
     elif seen.timedelta_:
         if is_timedelta_or_timedelta64_array(objects):
-            from pandas import TimedeltaIndex
+            from pandas import (
+                TimedeltaIndex,
+            )
 
             try:
                 tdi = TimedeltaIndex(objects)
@@ -2600,7 +2640,9 @@ def maybe_convert_objects(ndarray[object] objects,
 
     if seen.period_:
         if is_period_array(objects):
-            from pandas import PeriodIndex
+            from pandas import (
+                PeriodIndex,
+            )
             pi = PeriodIndex(objects)
 
             # unbox to PeriodArray
@@ -2609,7 +2651,9 @@ def maybe_convert_objects(ndarray[object] objects,
 
     if seen.interval_:
         if is_interval_array(objects):
-            from pandas import IntervalIndex
+            from pandas import (
+                IntervalIndex,
+            )
             ii = IntervalIndex(objects)
 
             # unbox to IntervalArray
@@ -2660,7 +2704,9 @@ def maybe_convert_objects(ndarray[object] objects,
             # is_bool property rules out everything else
             return bools.view(np.bool_)
         elif convert_to_nullable_dtype and seen.is_bool_or_na:
-            from pandas.core.arrays import BooleanArray
+            from pandas.core.arrays import (
+                BooleanArray,
+            )
             return BooleanArray(bools.view(np.bool_), mask)
         seen.object_ = True
 
@@ -2674,7 +2720,9 @@ def maybe_convert_objects(ndarray[object] objects,
                     result = floats
                 elif seen.int_ or seen.uint_:
                     if convert_to_nullable_dtype:
-                        from pandas.core.arrays import IntegerArray
+                        from pandas.core.arrays import (
+                            IntegerArray,
+                        )
                         if seen.uint_:
                             result = IntegerArray(uints, mask)
                         else:
diff --git a/pandas/_libs/missing.pyi b/pandas/_libs/missing.pyi
index d5c9f1342a089..add9d16545f05 100644
--- a/pandas/_libs/missing.pyi
+++ b/pandas/_libs/missing.pyi
@@ -1,5 +1,7 @@
 import numpy as np
-from numpy import typing as npt
+from numpy import (
+    typing as npt,
+)
 
 class NAType:
     def __new__(cls, *args, **kwargs): ...
diff --git a/pandas/_libs/missing.pyx b/pandas/_libs/missing.pyx
index 9b5bd196b40b9..b0e06f94c0f74 100644
--- a/pandas/_libs/missing.pyx
+++ b/pandas/_libs/missing.pyx
@@ -1,6 +1,10 @@
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import numbers
-from sys import maxsize
+from sys import (
+    maxsize,
+)
 
 cimport cython
 from cpython.datetime cimport (
@@ -8,7 +12,9 @@ from cpython.datetime cimport (
     time,
     timedelta,
 )
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 
 import numpy as np
 
@@ -23,7 +29,9 @@ from numpy cimport (
 
 cnp.import_array()
 
-from pandas._libs cimport util
+from pandas._libs cimport (
+    util,
+)
 from pandas._libs.tslibs.nattype cimport (
     c_NaT as NaT,
     checknull_with_nat,
@@ -36,7 +44,9 @@ from pandas._libs.tslibs.np_datetime cimport (
     get_timedelta64_value,
 )
 
-from pandas._libs.ops_dispatch import maybe_dispatch_ufunc_to_dunder_op
+from pandas._libs.ops_dispatch import (
+    maybe_dispatch_ufunc_to_dunder_op,
+)
 
 cdef:
     float64_t INF = <float64_t>np.inf
diff --git a/pandas/_libs/ops.pyi b/pandas/_libs/ops.pyi
index 74a6ad87cd279..6d2a74c087c84 100644
--- a/pandas/_libs/ops.pyi
+++ b/pandas/_libs/ops.pyi
@@ -8,7 +8,9 @@ from typing import (
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 _BinOp = Callable[[Any, Any], Any]
 _BoolOp = Callable[[Any, Any], bool]
diff --git a/pandas/_libs/ops.pyx b/pandas/_libs/ops.pyx
index 9154e836b3477..485cf4a29b462 100644
--- a/pandas/_libs/ops.pyx
+++ b/pandas/_libs/ops.pyx
@@ -10,7 +10,9 @@ from cpython.object cimport (
     Py_NE,
     PyObject_RichCompareBool,
 )
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 
 import numpy as np
 
@@ -23,8 +25,12 @@ from numpy cimport (
 import_array()
 
 
-from pandas._libs.missing cimport checknull
-from pandas._libs.util cimport is_nan
+from pandas._libs.missing cimport (
+    checknull,
+)
+from pandas._libs.util cimport (
+    is_nan,
+)
 
 
 @cython.wraparound(False)
diff --git a/pandas/_libs/parsers.pyx b/pandas/_libs/parsers.pyx
index 5bddaa61d3196..00284fa8afae2 100644
--- a/pandas/_libs/parsers.pyx
+++ b/pandas/_libs/parsers.pyx
@@ -1,6 +1,8 @@
 # Copyright (c) 2012, Lambda Foundry, Inc.
 # See LICENSE for the license
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 from csv import (
     QUOTE_MINIMAL,
     QUOTE_NONE,
@@ -10,10 +12,16 @@ import sys
 import time
 import warnings
 
-from pandas.errors import ParserError
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    ParserError,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas import StringDtype
+from pandas import (
+    StringDtype,
+)
 from pandas.core.arrays import (
     ArrowExtensionArray,
     BooleanArray,
@@ -22,12 +30,16 @@ from pandas.core.arrays import (
 )
 
 cimport cython
-from cpython.bytes cimport PyBytes_AsString
+from cpython.bytes cimport (
+    PyBytes_AsString,
+)
 from cpython.exc cimport (
     PyErr_Fetch,
     PyErr_Occurred,
 )
-from cpython.object cimport PyObject
+from cpython.object cimport (
+    PyObject,
+)
 from cpython.ref cimport (
     Py_INCREF,
     Py_XDECREF,
@@ -37,8 +49,12 @@ from cpython.unicode cimport (
     PyUnicode_Decode,
     PyUnicode_DecodeUTF8,
 )
-from cython cimport Py_ssize_t
-from libc.stdlib cimport free
+from cython cimport (
+    Py_ssize_t,
+)
+from libc.stdlib cimport (
+    free,
+)
 from libc.string cimport (
     strcasecmp,
     strlen,
@@ -64,14 +80,18 @@ from numpy cimport (
 
 cnp.import_array()
 
-from pandas._libs cimport util
+from pandas._libs cimport (
+    util,
+)
 from pandas._libs.util cimport (
     INT64_MAX,
     INT64_MIN,
     UINT64_MAX,
 )
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 
 from pandas._libs.khash cimport (
     kh_destroy_float64,
@@ -114,8 +134,12 @@ from pandas.core.dtypes.common import (
     is_integer_dtype,
     is_object_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
-from pandas.core.dtypes.inference import is_dict_like
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
+from pandas.core.dtypes.inference import (
+    is_dict_like,
+)
 
 cdef:
     float64_t INF = <float64_t>np.inf
diff --git a/pandas/_libs/properties.pyx b/pandas/_libs/properties.pyx
index 33cd2ef27a995..f36339e306148 100644
--- a/pandas/_libs/properties.pyx
+++ b/pandas/_libs/properties.pyx
@@ -3,7 +3,9 @@ from cpython.dict cimport (
     PyDict_GetItem,
     PyDict_SetItem,
 )
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 
 
 cdef class CachedProperty:
diff --git a/pandas/_libs/reduction.pyi b/pandas/_libs/reduction.pyi
index 525546f26c854..e06d2afb93d8f 100644
--- a/pandas/_libs/reduction.pyi
+++ b/pandas/_libs/reduction.pyi
@@ -1,6 +1,10 @@
-from typing import Any
+from typing import (
+    Any,
+)
 
-from pandas._typing import DtypeObj
+from pandas._typing import (
+    DtypeObj,
+)
 
 def check_result_array(obj: object, dtype: DtypeObj) -> None: ...
 def extract_result(res: object) -> Any: ...
diff --git a/pandas/_libs/reduction.pyx b/pandas/_libs/reduction.pyx
index 7ff0842678d7f..53b78545fa071 100644
--- a/pandas/_libs/reduction.pyx
+++ b/pandas/_libs/reduction.pyx
@@ -4,7 +4,9 @@ cimport numpy as cnp
 
 cnp.import_array()
 
-from pandas._libs.util cimport is_array
+from pandas._libs.util cimport (
+    is_array,
+)
 
 
 cdef cnp.dtype _dtype_obj = np.dtype("object")
diff --git a/pandas/_libs/reshape.pyi b/pandas/_libs/reshape.pyi
index 110687fcd0c31..fe11288bb8519 100644
--- a/pandas/_libs/reshape.pyi
+++ b/pandas/_libs/reshape.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def unstack(
     values: np.ndarray,  # reshape_t[:, :]
diff --git a/pandas/_libs/reshape.pyx b/pandas/_libs/reshape.pyx
index 946ba5ddaa248..445584ccf4c59 100644
--- a/pandas/_libs/reshape.pyx
+++ b/pandas/_libs/reshape.pyx
@@ -1,5 +1,7 @@
 cimport cython
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 from numpy cimport (
     int64_t,
     ndarray,
@@ -12,8 +14,12 @@ cimport numpy as cnp
 
 cnp.import_array()
 
-from pandas._libs.dtypes cimport numeric_object_t
-from pandas._libs.lib cimport c_is_list_like
+from pandas._libs.dtypes cimport (
+    numeric_object_t,
+)
+from pandas._libs.lib cimport (
+    c_is_list_like,
+)
 
 
 @cython.wraparound(False)
diff --git a/pandas/_libs/sparse.pyi b/pandas/_libs/sparse.pyi
index 8c3989b818a71..717072420b177 100644
--- a/pandas/_libs/sparse.pyi
+++ b/pandas/_libs/sparse.pyi
@@ -5,7 +5,9 @@ from typing import (
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 _SparseIndexT = TypeVar("_SparseIndexT", bound=SparseIndex)
 
diff --git a/pandas/_libs/testing.pyx b/pandas/_libs/testing.pyx
index 733879154b9d6..0b85de340a51f 100644
--- a/pandas/_libs/testing.pyx
+++ b/pandas/_libs/testing.pyx
@@ -3,7 +3,9 @@ import math
 
 import numpy as np
 
-from numpy cimport import_array
+from numpy cimport (
+    import_array,
+)
 
 import_array()
 
@@ -13,7 +15,9 @@ from pandas._libs.util cimport (
     is_real_number_object,
 )
 
-from pandas.core.dtypes.common import is_dtype_equal
+from pandas.core.dtypes.common import (
+    is_dtype_equal,
+)
 from pandas.core.dtypes.missing import (
     array_equivalent,
     isna,
@@ -117,7 +121,9 @@ cpdef assert_almost_equal(a, b,
     if isiterable(a):
 
         if not isiterable(b):
-            from pandas._testing import assert_class_equal
+            from pandas._testing import (
+                assert_class_equal,
+            )
 
             # classes can't be the same, to raise error
             assert_class_equal(a, b, obj=obj)
@@ -129,12 +135,16 @@ cpdef assert_almost_equal(a, b,
         if a_is_ndarray and b_is_ndarray:
             na, nb = a.size, b.size
             if a.shape != b.shape:
-                from pandas._testing import raise_assert_detail
+                from pandas._testing import (
+                    raise_assert_detail,
+                )
                 raise_assert_detail(
                     obj, f"{obj} shapes are different", a.shape, b.shape)
 
             if check_dtype and not is_dtype_equal(a.dtype, b.dtype):
-                from pandas._testing import assert_attr_equal
+                from pandas._testing import (
+                    assert_attr_equal,
+                )
                 assert_attr_equal("dtype", a, b, obj=obj)
 
             if array_equivalent(a, b, strict_nan=True):
@@ -144,7 +154,9 @@ cpdef assert_almost_equal(a, b,
             na, nb = len(a), len(b)
 
         if na != nb:
-            from pandas._testing import raise_assert_detail
+            from pandas._testing import (
+                raise_assert_detail,
+            )
 
             # if we have a small diff set, print it
             if abs(na - nb) < 10:
@@ -166,7 +178,9 @@ cpdef assert_almost_equal(a, b,
                     )
 
         if is_unequal:
-            from pandas._testing import raise_assert_detail
+            from pandas._testing import (
+                raise_assert_detail,
+            )
             msg = (f"{obj} values are different "
                    f"({np.round(diff * 100.0 / na, 5)} %)")
             raise_assert_detail(
@@ -176,7 +190,9 @@ cpdef assert_almost_equal(a, b,
         return True
 
     elif isiterable(b):
-        from pandas._testing import assert_class_equal
+        from pandas._testing import (
+            assert_class_equal,
+        )
 
         # classes can't be the same, to raise error
         assert_class_equal(a, b, obj=obj)
diff --git a/pandas/_libs/tslib.pyi b/pandas/_libs/tslib.pyi
index 9819b5173db56..4e0438ed2e6ad 100644
--- a/pandas/_libs/tslib.pyi
+++ b/pandas/_libs/tslib.pyi
@@ -1,8 +1,12 @@
-from datetime import tzinfo
+from datetime import (
+    tzinfo,
+)
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def format_array_from_datetime(
     values: npt.NDArray[np.int64],
diff --git a/pandas/_libs/tslib.pyx b/pandas/_libs/tslib.pyx
index d828ea424c5a0..e726a4f3a9b9d 100644
--- a/pandas/_libs/tslib.pyx
+++ b/pandas/_libs/tslib.pyx
@@ -1,10 +1,14 @@
 import warnings
 
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 cimport cython
 
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 from cpython.datetime cimport (
     PyDate_Check,
@@ -14,7 +18,9 @@ from cpython.datetime cimport (
     timedelta,
     tzinfo,
 )
-from cpython.object cimport PyObject
+from cpython.object cimport (
+    PyObject,
+)
 
 # import datetime C API
 import_datetime()
@@ -40,14 +46,18 @@ from pandas._libs.tslibs.np_datetime cimport (
     pydate_to_dt64,
     string_to_dts,
 )
-from pandas._libs.tslibs.strptime cimport parse_today_now
+from pandas._libs.tslibs.strptime cimport (
+    parse_today_now,
+)
 from pandas._libs.util cimport (
     is_datetime64_object,
     is_float_object,
     is_integer_object,
 )
 
-from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
+from pandas._libs.tslibs.np_datetime import (
+    OutOfBoundsDatetime,
+)
 
 from pandas._libs.tslibs.conversion cimport (
     _TSObject,
@@ -62,18 +72,26 @@ from pandas._libs.tslibs.nattype cimport (
     c_NaT as NaT,
     c_nat_strings as nat_strings,
 )
-from pandas._libs.tslibs.timestamps cimport _Timestamp
+from pandas._libs.tslibs.timestamps cimport (
+    _Timestamp,
+)
 
 from pandas._libs.tslibs import (
     Resolution,
     get_resolution,
 )
-from pandas._libs.tslibs.timestamps import Timestamp
+from pandas._libs.tslibs.timestamps import (
+    Timestamp,
+)
 
 # Note: this is the only non-tslibs intra-pandas dependency here
 
-from pandas._libs.missing cimport checknull_with_nat_and_na
-from pandas._libs.tslibs.tzconversion cimport tz_localize_to_utc_single
+from pandas._libs.missing cimport (
+    checknull_with_nat_and_na,
+)
+from pandas._libs.tslibs.tzconversion cimport (
+    tz_localize_to_utc_single,
+)
 
 
 def _test_parse_iso8601(ts: str):
diff --git a/pandas/_libs/tslibs/__init__.py b/pandas/_libs/tslibs/__init__.py
index 42f84619ddbe5..1e8947a0da334 100644
--- a/pandas/_libs/tslibs/__init__.py
+++ b/pandas/_libs/tslibs/__init__.py
@@ -35,8 +35,12 @@
     "get_supported_reso",
 ]
 
-from pandas._libs.tslibs import dtypes
-from pandas._libs.tslibs.conversion import localize_pydatetime
+from pandas._libs.tslibs import (
+    dtypes,
+)
+from pandas._libs.tslibs.conversion import (
+    localize_pydatetime,
+)
 from pandas._libs.tslibs.dtypes import (
     Resolution,
     get_supported_reso,
@@ -72,9 +76,15 @@
     delta_to_nanoseconds,
     ints_to_pytimedelta,
 )
-from pandas._libs.tslibs.timestamps import Timestamp
-from pandas._libs.tslibs.timezones import tz_compare
-from pandas._libs.tslibs.tzconversion import tz_convert_from_utc_single
+from pandas._libs.tslibs.timestamps import (
+    Timestamp,
+)
+from pandas._libs.tslibs.timezones import (
+    tz_compare,
+)
+from pandas._libs.tslibs.tzconversion import (
+    tz_convert_from_utc_single,
+)
 from pandas._libs.tslibs.vectorized import (
     dt64arr_to_periodarr,
     get_resolution,
diff --git a/pandas/_libs/tslibs/base.pxd b/pandas/_libs/tslibs/base.pxd
index 3bffff7aca43e..765b7ec2b6a15 100644
--- a/pandas/_libs/tslibs/base.pxd
+++ b/pandas/_libs/tslibs/base.pxd
@@ -1,4 +1,6 @@
-from cpython.datetime cimport datetime
+from cpython.datetime cimport (
+    datetime,
+)
 
 
 cdef class ABCTimestamp(datetime):
diff --git a/pandas/_libs/tslibs/base.pyx b/pandas/_libs/tslibs/base.pyx
index 1677a8b0be1ec..69075bb92b79a 100644
--- a/pandas/_libs/tslibs/base.pyx
+++ b/pandas/_libs/tslibs/base.pyx
@@ -5,7 +5,9 @@ in order to allow for fast isinstance checks without circular dependency issues.
 This is analogous to core.dtypes.generic.
 """
 
-from cpython.datetime cimport datetime
+from cpython.datetime cimport (
+    datetime,
+)
 
 
 cdef class ABCTimestamp(datetime):
diff --git a/pandas/_libs/tslibs/ccalendar.pxd b/pandas/_libs/tslibs/ccalendar.pxd
index 341f2176f5eb4..fce5651761295 100644
--- a/pandas/_libs/tslibs/ccalendar.pxd
+++ b/pandas/_libs/tslibs/ccalendar.pxd
@@ -1,4 +1,6 @@
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 from numpy cimport (
     int32_t,
     int64_t,
diff --git a/pandas/_libs/tslibs/conversion.pxd b/pandas/_libs/tslibs/conversion.pxd
index 1b3214605582a..cc858916af4ad 100644
--- a/pandas/_libs/tslibs/conversion.pxd
+++ b/pandas/_libs/tslibs/conversion.pxd
@@ -12,8 +12,12 @@ from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     npy_datetimestruct,
 )
-from pandas._libs.tslibs.timestamps cimport _Timestamp
-from pandas._libs.tslibs.timezones cimport tz_compare
+from pandas._libs.tslibs.timestamps cimport (
+    _Timestamp,
+)
+from pandas._libs.tslibs.timezones cimport (
+    tz_compare,
+)
 
 
 cdef class _TSObject:
diff --git a/pandas/_libs/tslibs/conversion.pyx b/pandas/_libs/tslibs/conversion.pyx
index b2c0ec1c1ffc6..e883aa29ccb24 100644
--- a/pandas/_libs/tslibs/conversion.pyx
+++ b/pandas/_libs/tslibs/conversion.pyx
@@ -1,7 +1,9 @@
 import numpy as np
 
 cimport numpy as cnp
-from libc.math cimport log10
+from libc.math cimport (
+    log10,
+)
 from numpy cimport (
     int32_t,
     int64_t,
@@ -11,7 +13,9 @@ cnp.import_array()
 
 # stdlib datetime imports
 
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 from cpython.datetime cimport (
     PyDate_Check,
@@ -25,7 +29,9 @@ from cpython.datetime cimport (
 
 import_datetime()
 
-from pandas._libs.tslibs.base cimport ABCTimestamp
+from pandas._libs.tslibs.base cimport (
+    ABCTimestamp,
+)
 from pandas._libs.tslibs.dtypes cimport (
     abbrev_to_npy_unit,
     get_supported_reso,
@@ -50,15 +56,21 @@ from pandas._libs.tslibs.np_datetime cimport (
     string_to_dts,
 )
 
-from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
+from pandas._libs.tslibs.np_datetime import (
+    OutOfBoundsDatetime,
+)
 
 from pandas._libs.tslibs.nattype cimport (
     NPY_NAT,
     c_NaT as NaT,
     c_nat_strings as nat_strings,
 )
-from pandas._libs.tslibs.parsing cimport parse_datetime_string
-from pandas._libs.tslibs.timestamps cimport _Timestamp
+from pandas._libs.tslibs.parsing cimport (
+    parse_datetime_string,
+)
+from pandas._libs.tslibs.timestamps cimport (
+    _Timestamp,
+)
 from pandas._libs.tslibs.timezones cimport (
     get_utcoffset,
     is_utc,
@@ -313,7 +325,9 @@ cdef _TSObject convert_to_tsobject(object ts, tzinfo tz, str unit,
             ts, tz, nanos=0, reso=NPY_DATETIMEUNIT.NPY_FR_s
         )
     else:
-        from .period import Period
+        from .period import (
+            Period,
+        )
         if isinstance(ts, Period):
             raise ValueError("Cannot convert Period to Timestamp "
                              "unambiguously. Use to_timestamp")
@@ -572,7 +586,9 @@ cdef check_overflows(_TSObject obj, NPY_DATETIMEUNIT reso=NPY_FR_ns):
 
     if obj.dts.year == lb.year:
         if not (obj.value < 0):
-            from pandas._libs.tslibs.timestamps import Timestamp
+            from pandas._libs.tslibs.timestamps import (
+                Timestamp,
+            )
             fmt = (f"{obj.dts.year}-{obj.dts.month:02d}-{obj.dts.day:02d} "
                    f"{obj.dts.hour:02d}:{obj.dts.min:02d}:{obj.dts.sec:02d}")
             raise OutOfBoundsDatetime(
@@ -580,7 +596,9 @@ cdef check_overflows(_TSObject obj, NPY_DATETIMEUNIT reso=NPY_FR_ns):
             )
     elif obj.dts.year == ub.year:
         if not (obj.value > 0):
-            from pandas._libs.tslibs.timestamps import Timestamp
+            from pandas._libs.tslibs.timestamps import (
+                Timestamp,
+            )
             fmt = (f"{obj.dts.year}-{obj.dts.month:02d}-{obj.dts.day:02d} "
                    f"{obj.dts.hour:02d}:{obj.dts.min:02d}:{obj.dts.sec:02d}")
             raise OutOfBoundsDatetime(
diff --git a/pandas/_libs/tslibs/dtypes.pxd b/pandas/_libs/tslibs/dtypes.pxd
index 6c2871cd746b8..dd9c8441fd84b 100644
--- a/pandas/_libs/tslibs/dtypes.pxd
+++ b/pandas/_libs/tslibs/dtypes.pxd
@@ -1,6 +1,10 @@
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
-from pandas._libs.tslibs.np_datetime cimport NPY_DATETIMEUNIT
+from pandas._libs.tslibs.np_datetime cimport (
+    NPY_DATETIMEUNIT,
+)
 
 
 cpdef str npy_unit_to_abbrev(NPY_DATETIMEUNIT unit)
diff --git a/pandas/_libs/tslibs/dtypes.pyi b/pandas/_libs/tslibs/dtypes.pyi
index b872241d79a54..1dfd0401cc6c1 100644
--- a/pandas/_libs/tslibs/dtypes.pyi
+++ b/pandas/_libs/tslibs/dtypes.pyi
@@ -1,4 +1,6 @@
-from enum import Enum
+from enum import (
+    Enum,
+)
 
 # These are not public API, but are exposed in the .pyi file because they
 #  are imported in tests.
diff --git a/pandas/_libs/tslibs/dtypes.pyx b/pandas/_libs/tslibs/dtypes.pyx
index 699e8aba76dd6..b0c524a3992b6 100644
--- a/pandas/_libs/tslibs/dtypes.pyx
+++ b/pandas/_libs/tslibs/dtypes.pyx
@@ -1,6 +1,8 @@
 # period frequency constants corresponding to scikits timeseries
 # originals
-from enum import Enum
+from enum import (
+    Enum,
+)
 
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
diff --git a/pandas/_libs/tslibs/fields.pyi b/pandas/_libs/tslibs/fields.pyi
index 8b4bc1a31a1aa..1d796a65f9232 100644
--- a/pandas/_libs/tslibs/fields.pyi
+++ b/pandas/_libs/tslibs/fields.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def build_field_sarray(
     dtindex: npt.NDArray[np.int64],  # const int64_t[:]
diff --git a/pandas/_libs/tslibs/fields.pyx b/pandas/_libs/tslibs/fields.pyx
index 2f1fb7fc44b2f..18450b815c013 100644
--- a/pandas/_libs/tslibs/fields.pyx
+++ b/pandas/_libs/tslibs/fields.pyx
@@ -2,12 +2,18 @@
 Functions for accessing attributes of Timestamp/datetime64/datetime-like
 objects and arrays
 """
-from locale import LC_TIME
+from locale import (
+    LC_TIME,
+)
 
-from _strptime import LocaleTime
+from _strptime import (
+    LocaleTime,
+)
 
 cimport cython
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 
 import numpy as np
 
@@ -22,7 +28,9 @@ from numpy cimport (
 
 cnp.import_array()
 
-from pandas._config.localization import set_locale
+from pandas._config.localization import (
+    set_locale,
+)
 
 from pandas._libs.tslibs.ccalendar import (
     DAYS_FULL,
@@ -39,7 +47,9 @@ from pandas._libs.tslibs.ccalendar cimport (
     get_week_of_year,
     iso_calendar_t,
 )
-from pandas._libs.tslibs.nattype cimport NPY_NAT
+from pandas._libs.tslibs.nattype cimport (
+    NPY_NAT,
+)
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     NPY_FR_ns,
diff --git a/pandas/_libs/tslibs/nattype.pxd b/pandas/_libs/tslibs/nattype.pxd
index 32705aa633135..3d97593537828 100644
--- a/pandas/_libs/tslibs/nattype.pxd
+++ b/pandas/_libs/tslibs/nattype.pxd
@@ -1,5 +1,9 @@
-from cpython.datetime cimport datetime
-from numpy cimport int64_t
+from cpython.datetime cimport (
+    datetime,
+)
+from numpy cimport (
+    int64_t,
+)
 
 
 cdef int64_t NPY_NAT
diff --git a/pandas/_libs/tslibs/nattype.pyi b/pandas/_libs/tslibs/nattype.pyi
index 04f8943710416..4afb3c645ae45 100644
--- a/pandas/_libs/tslibs/nattype.pyi
+++ b/pandas/_libs/tslibs/nattype.pyi
@@ -6,7 +6,9 @@ from datetime import (
 
 import numpy as np
 
-from pandas._libs.tslibs.period import Period
+from pandas._libs.tslibs.period import (
+    Period,
+)
 
 NaT: NaTType
 iNaT: int
diff --git a/pandas/_libs/tslibs/nattype.pyx b/pandas/_libs/tslibs/nattype.pyx
index ff07f5d799339..8de306502bbe8 100644
--- a/pandas/_libs/tslibs/nattype.pyx
+++ b/pandas/_libs/tslibs/nattype.pyx
@@ -17,7 +17,9 @@ from cpython.object cimport (
 import numpy as np
 
 cimport numpy as cnp
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
 cnp.import_array()
 
diff --git a/pandas/_libs/tslibs/np_datetime.pyi b/pandas/_libs/tslibs/np_datetime.pyi
index 0cb0e3b0237d7..4990ffd19f53d 100644
--- a/pandas/_libs/tslibs/np_datetime.pyi
+++ b/pandas/_libs/tslibs/np_datetime.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 class OutOfBoundsDatetime(ValueError): ...
 class OutOfBoundsTimedelta(ValueError): ...
diff --git a/pandas/_libs/tslibs/np_datetime.pyx b/pandas/_libs/tslibs/np_datetime.pyx
index d9aac87384952..52ce28bf8d894 100644
--- a/pandas/_libs/tslibs/np_datetime.pyx
+++ b/pandas/_libs/tslibs/np_datetime.pyx
@@ -32,7 +32,9 @@ from numpy cimport (
     uint8_t,
 )
 
-from pandas._libs.tslibs.util cimport get_c_string_buf_and_size
+from pandas._libs.tslibs.util cimport (
+    get_c_string_buf_and_size,
+)
 
 
 cdef extern from "src/datetime/np_datetime.h":
@@ -517,7 +519,9 @@ cdef ndarray astype_round_check(
             new_value, mod = divmod(value, mult)
             if mod != 0:
                 # TODO: avoid runtime import
-                from pandas._libs.tslibs.dtypes import npy_unit_to_abbrev
+                from pandas._libs.tslibs.dtypes import (
+                    npy_unit_to_abbrev,
+                )
                 from_abbrev = npy_unit_to_abbrev(from_unit)
                 to_abbrev = npy_unit_to_abbrev(to_unit)
                 raise ValueError(
diff --git a/pandas/_libs/tslibs/offsets.pxd b/pandas/_libs/tslibs/offsets.pxd
index 215c3f849281f..6f24ec2e4d336 100644
--- a/pandas/_libs/tslibs/offsets.pxd
+++ b/pandas/_libs/tslibs/offsets.pxd
@@ -1,4 +1,6 @@
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
 
 cpdef to_offset(object obj)
diff --git a/pandas/_libs/tslibs/offsets.pyi b/pandas/_libs/tslibs/offsets.pyi
index f1aca4717665c..1608f5b96c550 100644
--- a/pandas/_libs/tslibs/offsets.pyi
+++ b/pandas/_libs/tslibs/offsets.pyi
@@ -12,10 +12,16 @@ from typing import (
 
 import numpy as np
 
-from pandas._libs.tslibs.nattype import NaTType
-from pandas._typing import npt
+from pandas._libs.tslibs.nattype import (
+    NaTType,
+)
+from pandas._typing import (
+    npt,
+)
 
-from .timedeltas import Timedelta
+from .timedeltas import (
+    Timedelta,
+)
 
 _BaseOffsetT = TypeVar("_BaseOffsetT", bound=BaseOffset)
 _DatetimeT = TypeVar("_DatetimeT", bound=datetime)
diff --git a/pandas/_libs/tslibs/offsets.pyx b/pandas/_libs/tslibs/offsets.pyx
index c21b47d53e669..1507b688b0e24 100644
--- a/pandas/_libs/tslibs/offsets.pyx
+++ b/pandas/_libs/tslibs/offsets.pyx
@@ -15,8 +15,12 @@ from cpython.datetime cimport (
 
 import_datetime()
 
-from dateutil.easter import easter
-from dateutil.relativedelta import relativedelta
+from dateutil.easter import (
+    easter,
+)
+from dateutil.relativedelta import (
+    relativedelta,
+)
 import numpy as np
 
 cimport numpy as cnp
@@ -29,9 +33,13 @@ cnp.import_array()
 
 # TODO: formalize having _libs.properties "above" tslibs in the dependency structure
 
-from pandas._libs.properties import cache_readonly
+from pandas._libs.properties import (
+    cache_readonly,
+)
 
-from pandas._libs.tslibs cimport util
+from pandas._libs.tslibs cimport (
+    util,
+)
 from pandas._libs.tslibs.util cimport (
     is_datetime64_object,
     is_float_object,
@@ -51,8 +59,12 @@ from pandas._libs.tslibs.ccalendar cimport (
     get_firstbday,
     get_lastbday,
 )
-from pandas._libs.tslibs.conversion cimport localize_pydatetime
-from pandas._libs.tslibs.dtypes cimport periods_per_day
+from pandas._libs.tslibs.conversion cimport (
+    localize_pydatetime,
+)
+from pandas._libs.tslibs.dtypes cimport (
+    periods_per_day,
+)
 from pandas._libs.tslibs.nattype cimport (
     NPY_NAT,
     c_NaT as NaT,
@@ -66,18 +78,26 @@ from pandas._libs.tslibs.np_datetime cimport (
     pydate_to_dtstruct,
 )
 
-from .dtypes cimport PeriodDtypeCode
+from .dtypes cimport (
+    PeriodDtypeCode,
+)
 from .timedeltas cimport (
     _Timedelta,
     delta_to_nanoseconds,
     is_any_td_scalar,
 )
 
-from .timedeltas import Timedelta
+from .timedeltas import (
+    Timedelta,
+)
 
-from .timestamps cimport _Timestamp
+from .timestamps cimport (
+    _Timestamp,
+)
 
-from .timestamps import Timestamp
+from .timestamps import (
+    Timestamp,
+)
 
 # ---------------------------------------------------------------------
 # Misc Helpers
@@ -111,7 +131,9 @@ def apply_wrapper_core(func, self, other) -> ndarray:
 
     if self.normalize:
         # TODO: Avoid circular/runtime import
-        from .vectorized import normalize_i8_timestamps
+        from .vectorized import (
+            normalize_i8_timestamps,
+        )
         reso = get_unit_from_dtype(other.dtype)
         result = normalize_i8_timestamps(result.view("i8"), None, reso=reso)
 
diff --git a/pandas/_libs/tslibs/parsing.pxd b/pandas/_libs/tslibs/parsing.pxd
index 8809c81b530d0..4700a09d1ba6b 100644
--- a/pandas/_libs/tslibs/parsing.pxd
+++ b/pandas/_libs/tslibs/parsing.pxd
@@ -1,6 +1,10 @@
-from cpython.datetime cimport datetime
+from cpython.datetime cimport (
+    datetime,
+)
 
-from pandas._libs.tslibs.np_datetime cimport NPY_DATETIMEUNIT
+from pandas._libs.tslibs.np_datetime cimport (
+    NPY_DATETIMEUNIT,
+)
 
 
 cpdef str get_rule_month(str source)
diff --git a/pandas/_libs/tslibs/parsing.pyi b/pandas/_libs/tslibs/parsing.pyi
index 83a5b0085f0b4..658fa682c7b33 100644
--- a/pandas/_libs/tslibs/parsing.pyi
+++ b/pandas/_libs/tslibs/parsing.pyi
@@ -1,8 +1,12 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 class DateParseError(ValueError): ...
 
diff --git a/pandas/_libs/tslibs/parsing.pyx b/pandas/_libs/tslibs/parsing.pyx
index 445683968c58f..edfb547f0ea61 100644
--- a/pandas/_libs/tslibs/parsing.pyx
+++ b/pandas/_libs/tslibs/parsing.pyx
@@ -5,7 +5,9 @@ import re
 import time
 import warnings
 
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 cimport cython
 from cpython.datetime cimport (
@@ -16,11 +18,19 @@ from cpython.datetime cimport (
     tzinfo,
 )
 
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
-from cpython.object cimport PyObject_Str
-from cython cimport Py_ssize_t
-from libc.string cimport strchr
+from cpython.object cimport (
+    PyObject_Str,
+)
+from cython cimport (
+    Py_ssize_t,
+)
+from libc.string cimport (
+    strchr,
+)
 
 import_datetime()
 
@@ -40,22 +50,30 @@ cnp.import_array()
 
 # dateutil compat
 
-from decimal import InvalidOperation
+from decimal import (
+    InvalidOperation,
+)
 
 from dateutil.parser import (
     DEFAULTPARSER,
     parse as du_parse,
 )
-from dateutil.relativedelta import relativedelta
+from dateutil.relativedelta import (
+    relativedelta,
+)
 from dateutil.tz import (
     tzlocal as _dateutil_tzlocal,
     tzoffset,
     tzutc as _dateutil_tzutc,
 )
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._libs.tslibs.ccalendar cimport c_MONTH_NUMBERS
+from pandas._libs.tslibs.ccalendar cimport (
+    c_MONTH_NUMBERS,
+)
 from pandas._libs.tslibs.dtypes cimport (
     attrname_to_npy_unit,
     npy_unit_to_attrname,
@@ -65,7 +83,9 @@ from pandas._libs.tslibs.nattype cimport (
     c_nat_strings as nat_strings,
 )
 
-from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
+from pandas._libs.tslibs.np_datetime import (
+    OutOfBoundsDatetime,
+)
 
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
@@ -73,7 +93,9 @@ from pandas._libs.tslibs.np_datetime cimport (
     string_to_dts,
 )
 
-from pandas._libs.tslibs.strptime import array_strptime
+from pandas._libs.tslibs.strptime import (
+    array_strptime,
+)
 
 from pandas._libs.tslibs.util cimport (
     get_c_string_buf_and_size,
@@ -398,7 +420,9 @@ def parse_datetime_string_with_reso(
 
         if out_bestunit == NPY_DATETIMEUNIT.NPY_FR_ns:
             # TODO: avoid circular import
-            from pandas import Timestamp
+            from pandas import (
+                Timestamp,
+            )
             parsed = Timestamp(date_string)
         else:
             if out_local:
diff --git a/pandas/_libs/tslibs/period.pxd b/pandas/_libs/tslibs/period.pxd
index 46c6e52cb9156..4a5cf59804457 100644
--- a/pandas/_libs/tslibs/period.pxd
+++ b/pandas/_libs/tslibs/period.pxd
@@ -1,6 +1,10 @@
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
-from .np_datetime cimport npy_datetimestruct
+from .np_datetime cimport (
+    npy_datetimestruct,
+)
 
 
 cdef bint is_period_object(object obj)
diff --git a/pandas/_libs/tslibs/period.pyi b/pandas/_libs/tslibs/period.pyi
index 946ae1215f1e3..2ebadbcc83d7a 100644
--- a/pandas/_libs/tslibs/period.pyi
+++ b/pandas/_libs/tslibs/period.pyi
@@ -1,11 +1,21 @@
-from datetime import timedelta
-from typing import Literal
+from datetime import (
+    timedelta,
+)
+from typing import (
+    Literal,
+)
 
 import numpy as np
 
-from pandas._libs.tslibs.nattype import NaTType
-from pandas._libs.tslibs.offsets import BaseOffset
-from pandas._libs.tslibs.timestamps import Timestamp
+from pandas._libs.tslibs.nattype import (
+    NaTType,
+)
+from pandas._libs.tslibs.offsets import (
+    BaseOffset,
+)
+from pandas._libs.tslibs.timestamps import (
+    Timestamp,
+)
 from pandas._typing import (
     Frequency,
     npt,
diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index f44178700503d..74c403a222ee0 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -42,7 +42,9 @@ from libc.time cimport (
 import_datetime()
 
 cimport pandas._libs.tslibs.util as util
-from pandas._libs.missing cimport C_NA
+from pandas._libs.missing cimport (
+    C_NA,
+)
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     NPY_FR_D,
@@ -54,7 +56,9 @@ from pandas._libs.tslibs.np_datetime cimport (
     pandas_datetime_to_datetimestruct,
 )
 
-from pandas._libs.tslibs.timestamps import Timestamp
+from pandas._libs.tslibs.timestamps import (
+    Timestamp,
+)
 
 from pandas._libs.tslibs.ccalendar cimport (
     dayofweek,
@@ -68,7 +72,9 @@ from pandas._libs.tslibs.timedeltas cimport (
     is_any_td_scalar,
 )
 
-from pandas._libs.tslibs.conversion import DT64NS_DTYPE
+from pandas._libs.tslibs.conversion import (
+    DT64NS_DTYPE,
+)
 
 from pandas._libs.tslibs.dtypes cimport (
     FR_ANN,
@@ -88,9 +94,13 @@ from pandas._libs.tslibs.dtypes cimport (
     attrname_to_abbrevs,
     freq_group_code_to_npy_unit,
 )
-from pandas._libs.tslibs.parsing cimport quarter_to_myear
+from pandas._libs.tslibs.parsing cimport (
+    quarter_to_myear,
+)
 
-from pandas._libs.tslibs.parsing import parse_datetime_string_with_reso
+from pandas._libs.tslibs.parsing import (
+    parse_datetime_string_with_reso,
+)
 
 from pandas._libs.tslibs.nattype cimport (
     NPY_NAT,
@@ -105,7 +115,9 @@ from pandas._libs.tslibs.offsets cimport (
     to_offset,
 )
 
-from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.offsets import (
+    INVALID_FREQ_ERR_MSG,
+)
 
 cdef:
     enum:
diff --git a/pandas/_libs/tslibs/strptime.pxd b/pandas/_libs/tslibs/strptime.pxd
index 175195d4362e4..1f6f2166e82fc 100644
--- a/pandas/_libs/tslibs/strptime.pxd
+++ b/pandas/_libs/tslibs/strptime.pxd
@@ -1,4 +1,6 @@
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
 
 cdef bint parse_today_now(str val, int64_t* iresult, bint utc)
diff --git a/pandas/_libs/tslibs/strptime.pyi b/pandas/_libs/tslibs/strptime.pyi
index 4565bb7ecf959..7b0d5ae90a10e 100644
--- a/pandas/_libs/tslibs/strptime.pyi
+++ b/pandas/_libs/tslibs/strptime.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def array_strptime(
     values: npt.NDArray[np.object_],
diff --git a/pandas/_libs/tslibs/strptime.pyx b/pandas/_libs/tslibs/strptime.pyx
index cf847746f16cd..7ebde7a1a28ac 100644
--- a/pandas/_libs/tslibs/strptime.pyx
+++ b/pandas/_libs/tslibs/strptime.pyx
@@ -14,7 +14,9 @@ FUNCTIONS:
     _getlang -- Figure out what language is being used for the locale
     strptime -- Calculates the time struct represented by the passed-in string
 """
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 from cpython.datetime cimport (
     PyDate_Check,
@@ -24,6 +26,7 @@ from cpython.datetime cimport (
     timedelta,
     tzinfo,
 )
+
 from _strptime import (
     TimeRE as _TimeRE,
     _getlang,
@@ -32,7 +35,9 @@ from _strptime import LocaleTime  # no-cython-lint
 
 import_datetime()
 
-from _thread import allocate_lock as _thread_allocate_lock
+from _thread import (
+    allocate_lock as _thread_allocate_lock,
+)
 import re
 
 import numpy as np
@@ -44,7 +49,9 @@ from numpy cimport (
     ndarray,
 )
 
-from pandas._libs.missing cimport checknull_with_nat_and_na
+from pandas._libs.missing cimport (
+    checknull_with_nat_and_na,
+)
 from pandas._libs.tslibs.conversion cimport (
     convert_timezone,
     get_datetime64_nanos,
@@ -63,15 +70,23 @@ from pandas._libs.tslibs.np_datetime cimport (
     pydatetime_to_dt64,
     string_to_dts,
 )
-from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
-from pandas._libs.tslibs.timestamps cimport _Timestamp
+
+from pandas._libs.tslibs.np_datetime import (
+    OutOfBoundsDatetime,
+)
+
+from pandas._libs.tslibs.timestamps cimport (
+    _Timestamp,
+)
 from pandas._libs.util cimport (
     is_datetime64_object,
     is_float_object,
     is_integer_object,
 )
 
-from pandas._libs.tslibs.timestamps import Timestamp
+from pandas._libs.tslibs.timestamps import (
+    Timestamp,
+)
 
 cnp.import_array()
 
diff --git a/pandas/_libs/tslibs/timedeltas.pxd b/pandas/_libs/tslibs/timedeltas.pxd
index fb6e29a8932a1..0d3679644914e 100644
--- a/pandas/_libs/tslibs/timedeltas.pxd
+++ b/pandas/_libs/tslibs/timedeltas.pxd
@@ -1,7 +1,13 @@
-from cpython.datetime cimport timedelta
-from numpy cimport int64_t
+from cpython.datetime cimport (
+    timedelta,
+)
+from numpy cimport (
+    int64_t,
+)
 
-from .np_datetime cimport NPY_DATETIMEUNIT
+from .np_datetime cimport (
+    NPY_DATETIMEUNIT,
+)
 
 
 # Exposed for tslib, not intended for outside use.
diff --git a/pandas/_libs/tslibs/timedeltas.pyi b/pandas/_libs/tslibs/timedeltas.pyi
index d67a330e0b0c2..f3aba5dc45ab0 100644
--- a/pandas/_libs/tslibs/timedeltas.pyi
+++ b/pandas/_libs/tslibs/timedeltas.pyi
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 from typing import (
     ClassVar,
     Literal,
@@ -12,7 +14,9 @@ from pandas._libs.tslibs import (
     NaTType,
     Tick,
 )
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 # This should be kept consistent with the keys in the dict timedelta_abbrevs
 # in pandas/_libs/tslibs/timedeltas.pyx
diff --git a/pandas/_libs/tslibs/timedeltas.pyx b/pandas/_libs/tslibs/timedeltas.pyx
index d68fea7d08b2a..0aa67fc1b49f1 100644
--- a/pandas/_libs/tslibs/timedeltas.pyx
+++ b/pandas/_libs/tslibs/timedeltas.pyx
@@ -30,7 +30,9 @@ import_datetime()
 
 
 cimport pandas._libs.tslibs.util as util
-from pandas._libs.tslibs.base cimport ABCTimestamp
+from pandas._libs.tslibs.base cimport (
+    ABCTimestamp,
+)
 from pandas._libs.tslibs.conversion cimport (
     cast_from_unit,
     precision_from_unit,
@@ -65,7 +67,9 @@ from pandas._libs.tslibs.np_datetime import (
     OutOfBoundsTimedelta,
 )
 
-from pandas._libs.tslibs.offsets cimport is_tick_object
+from pandas._libs.tslibs.offsets cimport (
+    is_tick_object,
+)
 from pandas._libs.tslibs.util cimport (
     is_array,
     is_datetime64_object,
@@ -756,7 +760,9 @@ def _binary_op_method_timedeltalike(op, name):
             # this case is for a datetime object that is specifically
             # *not* a Timestamp, as the Timestamp case will be
             # handled after `_validate_ops_compat` returns False below
-            from pandas._libs.tslibs.timestamps import Timestamp
+            from pandas._libs.tslibs.timestamps import (
+                Timestamp,
+            )
             return op(self, Timestamp(other))
             # We are implicitly requiring the canonical behavior to be
             # defined by Timestamp methods.
@@ -1818,7 +1824,9 @@ class Timedelta(_Timedelta):
             int64_t result, unit
             ndarray[int64_t] arr
 
-        from pandas._libs.tslibs.offsets import to_offset
+        from pandas._libs.tslibs.offsets import (
+            to_offset,
+        )
 
         to_offset(freq).nanos  # raises on non-fixed freq
         unit = delta_to_nanoseconds(to_offset(freq), self._creso)
diff --git a/pandas/_libs/tslibs/timestamps.pxd b/pandas/_libs/tslibs/timestamps.pxd
index 26018cd904249..2a4ead3027c2e 100644
--- a/pandas/_libs/tslibs/timestamps.pxd
+++ b/pandas/_libs/tslibs/timestamps.pxd
@@ -2,14 +2,20 @@ from cpython.datetime cimport (
     datetime,
     tzinfo,
 )
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
-from pandas._libs.tslibs.base cimport ABCTimestamp
+from pandas._libs.tslibs.base cimport (
+    ABCTimestamp,
+)
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     npy_datetimestruct,
 )
-from pandas._libs.tslibs.offsets cimport BaseOffset
+from pandas._libs.tslibs.offsets cimport (
+    BaseOffset,
+)
 
 
 cdef _Timestamp create_timestamp_from_ts(int64_t value,
diff --git a/pandas/_libs/tslibs/timestamps.pyi b/pandas/_libs/tslibs/timestamps.pyi
index 26b0c9170aaa0..6e591fe500992 100644
--- a/pandas/_libs/tslibs/timestamps.pyi
+++ b/pandas/_libs/tslibs/timestamps.pyi
@@ -5,7 +5,9 @@ from datetime import (
     timedelta,
     tzinfo as _tzinfo,
 )
-from time import struct_time
+from time import (
+    struct_time,
+)
 from typing import (
     ClassVar,
     TypeVar,
diff --git a/pandas/_libs/tslibs/timestamps.pyx b/pandas/_libs/tslibs/timestamps.pyx
index 59fdad40dc9c6..0bffb5192d333 100644
--- a/pandas/_libs/tslibs/timestamps.pyx
+++ b/pandas/_libs/tslibs/timestamps.pyx
@@ -45,10 +45,16 @@ from cpython.object cimport (
 
 import_datetime()
 
-from pandas._libs.tslibs cimport ccalendar
-from pandas._libs.tslibs.base cimport ABCTimestamp
+from pandas._libs.tslibs cimport (
+    ccalendar,
+)
+from pandas._libs.tslibs.base cimport (
+    ABCTimestamp,
+)
 
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas._libs.tslibs.conversion cimport (
     _TSObject,
@@ -99,14 +105,18 @@ from pandas._libs.tslibs.np_datetime import (
     OutOfBoundsTimedelta,
 )
 
-from pandas._libs.tslibs.offsets cimport to_offset
+from pandas._libs.tslibs.offsets cimport (
+    to_offset,
+)
 from pandas._libs.tslibs.timedeltas cimport (
     _Timedelta,
     delta_to_nanoseconds,
     is_any_td_scalar,
 )
 
-from pandas._libs.tslibs.timedeltas import Timedelta
+from pandas._libs.tslibs.timedeltas import (
+    Timedelta,
+)
 
 from pandas._libs.tslibs.timezones cimport (
     get_timezone,
@@ -1248,7 +1258,9 @@ cdef class _Timestamp(ABCTimestamp):
         >>> ts.to_period(freq='Q')
         Period('2020Q1', 'Q-DEC')
         """
-        from pandas import Period
+        from pandas import (
+            Period,
+        )
 
         if self.tz is not None:
             # GH#21333
diff --git a/pandas/_libs/tslibs/timezones.pyi b/pandas/_libs/tslibs/timezones.pyi
index 4e9f0c6ae6c33..394572b3c6662 100644
--- a/pandas/_libs/tslibs/timezones.pyi
+++ b/pandas/_libs/tslibs/timezones.pyi
@@ -2,7 +2,9 @@ from datetime import (
     datetime,
     tzinfo,
 )
-from typing import Callable
+from typing import (
+    Callable,
+)
 
 import numpy as np
 
diff --git a/pandas/_libs/tslibs/timezones.pyx b/pandas/_libs/tslibs/timezones.pyx
index 6105f96a3b1b8..f495f1194206c 100644
--- a/pandas/_libs/tslibs/timezones.pyx
+++ b/pandas/_libs/tslibs/timezones.pyx
@@ -3,12 +3,16 @@ from datetime import (
     timezone,
 )
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 try:
     # py39+
     import zoneinfo
-    from zoneinfo import ZoneInfo
+    from zoneinfo import (
+        ZoneInfo,
+    )
 except ImportError:
     zoneinfo = None
     ZoneInfo = None
@@ -29,10 +33,14 @@ from dateutil.tz import (
 )
 import numpy as np
 import pytz
-from pytz.tzinfo import BaseTzInfo as _pytz_BaseTzInfo
+from pytz.tzinfo import (
+    BaseTzInfo as _pytz_BaseTzInfo,
+)
 
 cimport numpy as cnp
-from numpy cimport int64_t
+from numpy cimport (
+    int64_t,
+)
 
 cnp.import_array()
 
diff --git a/pandas/_libs/tslibs/tzconversion.pxd b/pandas/_libs/tslibs/tzconversion.pxd
index 7c1dd04e2b2cc..eb3407976b381 100644
--- a/pandas/_libs/tslibs/tzconversion.pxd
+++ b/pandas/_libs/tslibs/tzconversion.pxd
@@ -1,11 +1,15 @@
-from cpython.datetime cimport tzinfo
+from cpython.datetime cimport (
+    tzinfo,
+)
 from numpy cimport (
     int64_t,
     intp_t,
     ndarray,
 )
 
-from pandas._libs.tslibs.np_datetime cimport NPY_DATETIMEUNIT
+from pandas._libs.tslibs.np_datetime cimport (
+    NPY_DATETIMEUNIT,
+)
 
 
 cpdef int64_t tz_convert_from_utc_single(
diff --git a/pandas/_libs/tslibs/tzconversion.pyi b/pandas/_libs/tslibs/tzconversion.pyi
index a354765a348ec..2fd162dcf492c 100644
--- a/pandas/_libs/tslibs/tzconversion.pyi
+++ b/pandas/_libs/tslibs/tzconversion.pyi
@@ -2,11 +2,15 @@ from datetime import (
     timedelta,
     tzinfo,
 )
-from typing import Iterable
+from typing import (
+    Iterable,
+)
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 # tz_convert_from_utc_single exposed for testing
 def tz_convert_from_utc_single(
diff --git a/pandas/_libs/tslibs/tzconversion.pyx b/pandas/_libs/tslibs/tzconversion.pyx
index c5f3b0ab7154f..40f8aa466600c 100644
--- a/pandas/_libs/tslibs/tzconversion.pyx
+++ b/pandas/_libs/tslibs/tzconversion.pyx
@@ -10,7 +10,9 @@ from cpython.datetime cimport (
     timedelta,
     tzinfo,
 )
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 
 import_datetime()
 
@@ -31,7 +33,9 @@ from pandas._libs.tslibs.dtypes cimport (
     periods_per_day,
     periods_per_second,
 )
-from pandas._libs.tslibs.nattype cimport NPY_NAT
+from pandas._libs.tslibs.nattype cimport (
+    NPY_NAT,
+)
 from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     npy_datetimestruct,
@@ -274,7 +278,9 @@ timedelta-like}
     elif nonexistent == "shift_backward":
         shift_backward = True
     elif PyDelta_Check(nonexistent):
-        from .timedeltas import delta_to_nanoseconds
+        from .timedeltas import (
+            delta_to_nanoseconds,
+        )
         shift_delta = delta_to_nanoseconds(nonexistent, reso=creso)
     elif nonexistent not in ("raise", None):
         msg = ("nonexistent must be one of {'NaT', 'raise', 'shift_forward', "
@@ -450,7 +456,9 @@ cdef Py_ssize_t bisect_right_i8(int64_t *data, int64_t val, Py_ssize_t n):
 
 cdef str _render_tstamp(int64_t val, NPY_DATETIMEUNIT creso):
     """ Helper function to render exception messages"""
-    from pandas._libs.tslibs.timestamps import Timestamp
+    from pandas._libs.tslibs.timestamps import (
+        Timestamp,
+    )
     ts = Timestamp._from_value_and_reso(val, creso, None)
     return str(ts)
 
diff --git a/pandas/_libs/tslibs/util.pxd b/pandas/_libs/tslibs/util.pxd
index 4e55bc1c48fd0..f38db805ee240 100644
--- a/pandas/_libs/tslibs/util.pxd
+++ b/pandas/_libs/tslibs/util.pxd
@@ -1,5 +1,7 @@
 
-from cpython.object cimport PyTypeObject
+from cpython.object cimport (
+    PyTypeObject,
+)
 
 
 cdef extern from "Python.h":
diff --git a/pandas/_libs/tslibs/vectorized.pyi b/pandas/_libs/tslibs/vectorized.pyi
index 3fd9e2501e611..0959f81c73fa4 100644
--- a/pandas/_libs/tslibs/vectorized.pyi
+++ b/pandas/_libs/tslibs/vectorized.pyi
@@ -2,12 +2,18 @@
 For cython types that cannot be represented precisely, closest-available
 python equivalents are used, and the precise types kept as adjacent comments.
 """
-from datetime import tzinfo
+from datetime import (
+    tzinfo,
+)
 
 import numpy as np
 
-from pandas._libs.tslibs.dtypes import Resolution
-from pandas._typing import npt
+from pandas._libs.tslibs.dtypes import (
+    Resolution,
+)
+from pandas._typing import (
+    npt,
+)
 
 def dt64arr_to_periodarr(
     stamps: npt.NDArray[np.int64],
diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx
index 06e09d890de69..0d23ed0a7a099 100644
--- a/pandas/_libs/tslibs/vectorized.pyx
+++ b/pandas/_libs/tslibs/vectorized.pyx
@@ -16,7 +16,9 @@ from numpy cimport (
 
 cnp.import_array()
 
-from .dtypes import Resolution
+from .dtypes import (
+    Resolution,
+)
 
 from .dtypes cimport (
     c_Resolution,
@@ -32,10 +34,18 @@ from .np_datetime cimport (
     npy_datetimestruct,
     pandas_datetime_to_datetimestruct,
 )
-from .period cimport get_period_ordinal
-from .timestamps cimport create_timestamp_from_ts
-from .timezones cimport is_utc
-from .tzconversion cimport Localizer
+from .period cimport (
+    get_period_ordinal,
+)
+from .timestamps cimport (
+    create_timestamp_from_ts,
+)
+from .timezones cimport (
+    is_utc,
+)
+from .tzconversion cimport (
+    Localizer,
+)
 
 
 @cython.boundscheck(False)
diff --git a/pandas/_libs/window/aggregations.pyx b/pandas/_libs/window/aggregations.pyx
index 3055b8ff48cc9..11d2e0d8835fc 100644
--- a/pandas/_libs/window/aggregations.pyx
+++ b/pandas/_libs/window/aggregations.pyx
@@ -5,9 +5,13 @@ from libc.math cimport (
     signbit,
     sqrt,
 )
-from libcpp.deque cimport deque
+from libcpp.deque cimport (
+    deque,
+)
 
-from pandas._libs.algos cimport TiebreakEnumType
+from pandas._libs.algos cimport (
+    TiebreakEnumType,
+)
 
 import numpy as np
 
@@ -21,7 +25,9 @@ from numpy cimport (
 
 cnp.import_array()
 
-from pandas._libs.algos import is_monotonic
+from pandas._libs.algos import (
+    is_monotonic,
+)
 
 
 cdef extern from "../src/skiplist.h":
diff --git a/pandas/_libs/window/indexers.pyi b/pandas/_libs/window/indexers.pyi
index c9bc64be34ac9..89f70e96320b4 100644
--- a/pandas/_libs/window/indexers.pyi
+++ b/pandas/_libs/window/indexers.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 def calculate_variable_window_bounds(
     num_values: int,  # int64_t
diff --git a/pandas/_libs/writers.pyi b/pandas/_libs/writers.pyi
index 7b41856525dad..33a5a7d462e11 100644
--- a/pandas/_libs/writers.pyi
+++ b/pandas/_libs/writers.pyi
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas._typing import ArrayLike
+from pandas._typing import (
+    ArrayLike,
+)
 
 def write_csv_rows(
     data: list[ArrayLike],
diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index 69ca809e4f498..fdc74fbdee73e 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -1,13 +1,21 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import collections
-from datetime import datetime
-from decimal import Decimal
+from datetime import (
+    datetime,
+)
+from decimal import (
+    Decimal,
+)
 import operator
 import os
 import re
 import string
-from sys import byteorder
+from sys import (
+    byteorder,
+)
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -30,7 +38,9 @@
     Frequency,
     NpDtype,
 )
-from pandas.compat import pa_version_under7p0
+from pandas.compat import (
+    pa_version_under7p0,
+)
 
 from pandas.core.dtypes.common import (
     is_float_dtype,
@@ -114,15 +124,21 @@
     ExtensionArray,
     PandasArray,
 )
-from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
-from pandas.core.construction import extract_array
+from pandas.core.arrays._mixins import (
+    NDArrayBackedExtensionArray,
+)
+from pandas.core.construction import (
+    extract_array,
+)
 
 if TYPE_CHECKING:
     from pandas import (
         PeriodIndex,
         TimedeltaIndex,
     )
-    from pandas.core.arrays import ArrowExtensionArray
+    from pandas.core.arrays import (
+        ArrowExtensionArray,
+    )
 
 _N = 30
 _K = 4
diff --git a/pandas/_testing/_hypothesis.py b/pandas/_testing/_hypothesis.py
index 5256a303de34e..f4f79f5ff0b1f 100644
--- a/pandas/_testing/_hypothesis.py
+++ b/pandas/_testing/_hypothesis.py
@@ -1,13 +1,23 @@
 """
 Hypothesis data generator helpers.
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from hypothesis import strategies as st
-from hypothesis.extra.dateutil import timezones as dateutil_timezones
-from hypothesis.extra.pytz import timezones as pytz_timezones
+from hypothesis import (
+    strategies as st,
+)
+from hypothesis.extra.dateutil import (
+    timezones as dateutil_timezones,
+)
+from hypothesis.extra.pytz import (
+    timezones as pytz_timezones,
+)
 
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 
 import pandas as pd
 
diff --git a/pandas/_testing/_io.py b/pandas/_testing/_io.py
index 29618bdd64912..c5665ff6ce007 100644
--- a/pandas/_testing/_io.py
+++ b/pandas/_testing/_io.py
@@ -1,7 +1,11 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import bz2
-from functools import wraps
+from functools import (
+    wraps,
+)
 import gzip
 import io
 import socket
@@ -17,14 +21,24 @@
     FilePath,
     ReadPickleBuffer,
 )
-from pandas.compat import get_lzma_file
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat import (
+    get_lzma_file,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 import pandas as pd
-from pandas._testing._random import rands
-from pandas._testing.contexts import ensure_clean
+from pandas._testing._random import (
+    rands,
+)
+from pandas._testing.contexts import (
+    ensure_clean,
+)
 
-from pandas.io.common import urlopen
+from pandas.io.common import (
+    urlopen,
+)
 
 if TYPE_CHECKING:
     from pandas import (
diff --git a/pandas/_testing/_random.py b/pandas/_testing/_random.py
index 7cfd92efb5d5f..cf4041ed2aba3 100644
--- a/pandas/_testing/_random.py
+++ b/pandas/_testing/_random.py
@@ -2,7 +2,9 @@
 
 import numpy as np
 
-from pandas._typing import NpDtype
+from pandas._typing import (
+    NpDtype,
+)
 
 RANDS_CHARS = np.array(list(string.ascii_letters + string.digits), dtype=(np.str_, 1))
 
diff --git a/pandas/_testing/_warnings.py b/pandas/_testing/_warnings.py
index 201aa81183301..e43cbe2bc212b 100644
--- a/pandas/_testing/_warnings.py
+++ b/pandas/_testing/_warnings.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from contextlib import (
     contextmanager,
diff --git a/pandas/_testing/asserters.py b/pandas/_testing/asserters.py
index 1544550c1995f..99cbe384c7608 100644
--- a/pandas/_testing/asserters.py
+++ b/pandas/_testing/asserters.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Literal,
@@ -7,8 +9,12 @@
 
 import numpy as np
 
-from pandas._libs.missing import is_matching_na
-from pandas._libs.sparse import SparseIndex
+from pandas._libs.missing import (
+    is_matching_na,
+)
+from pandas._libs.sparse import (
+    SparseIndex,
+)
 import pandas._libs.testing as _testing
 
 from pandas.core.dtypes.common import (
@@ -25,7 +31,9 @@
     CategoricalDtype,
     PandasDtype,
 )
-from pandas.core.dtypes.missing import array_equivalent
+from pandas.core.dtypes.missing import (
+    array_equivalent,
+)
 
 import pandas as pd
 from pandas import (
@@ -40,7 +48,9 @@
     Series,
     TimedeltaIndex,
 )
-from pandas.core.algorithms import take_nd
+from pandas.core.algorithms import (
+    take_nd,
+)
 from pandas.core.arrays import (
     DatetimeArray,
     ExtensionArray,
@@ -48,11 +58,19 @@
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
-from pandas.core.arrays.string_ import StringDtype
-from pandas.core.indexes.api import safe_sort_index
+from pandas.core.arrays.datetimelike import (
+    DatetimeLikeArrayMixin,
+)
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
+from pandas.core.indexes.api import (
+    safe_sort_index,
+)
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 def assert_almost_equal(
diff --git a/pandas/_testing/compat.py b/pandas/_testing/compat.py
index bb3bb99a4c6e4..bbf84d56e1c4b 100644
--- a/pandas/_testing/compat.py
+++ b/pandas/_testing/compat.py
@@ -1,9 +1,13 @@
 """
 Helpers for sharing tests between DataFrame/Series
 """
-from pandas._typing import DtypeObj
+from pandas._typing import (
+    DtypeObj,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 
 def get_dtype(obj) -> DtypeObj:
diff --git a/pandas/_testing/contexts.py b/pandas/_testing/contexts.py
index bf625a086b9ad..ffcddd8eaf373 100644
--- a/pandas/_testing/contexts.py
+++ b/pandas/_testing/contexts.py
@@ -1,8 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import tempfile
 from typing import (
     IO,
@@ -16,12 +22,20 @@
     CompressionOptions,
     FilePath,
 )
-from pandas.compat import PYPY
-from pandas.errors import ChainedAssignmentError
+from pandas.compat import (
+    PYPY,
+)
+from pandas.errors import (
+    ChainedAssignmentError,
+)
 
-from pandas import set_option
+from pandas import (
+    set_option,
+)
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 
 @contextmanager
@@ -186,7 +200,9 @@ def with_csv_dialect(name, **kwargs) -> Generator[None, None, None]:
 
 @contextmanager
 def use_numexpr(use, min_elements=None) -> Generator[None, None, None]:
-    from pandas.core.computation import expressions as expr
+    from pandas.core.computation import (
+        expressions as expr,
+    )
 
     if min_elements is None:
         min_elements = expr._MIN_ELEMENTS
@@ -204,7 +220,9 @@ def use_numexpr(use, min_elements=None) -> Generator[None, None, None]:
 
 def raises_chained_assignment_error():
     if PYPY:
-        from contextlib import nullcontext
+        from contextlib import (
+            nullcontext,
+        )
 
         return nullcontext()
     else:
diff --git a/pandas/_typing.py b/pandas/_typing.py
index 6059bced4a7d4..5f10745987cd8 100644
--- a/pandas/_typing.py
+++ b/pandas/_typing.py
@@ -1,11 +1,15 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
     timedelta,
     tzinfo,
 )
-from os import PathLike
+from os import (
+    PathLike,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -39,35 +43,57 @@
         Timedelta,
         Timestamp,
     )
-    from pandas._libs.tslibs import BaseOffset
+    from pandas._libs.tslibs import (
+        BaseOffset,
+    )
 
-    from pandas.core.dtypes.dtypes import ExtensionDtype
+    from pandas.core.dtypes.dtypes import (
+        ExtensionDtype,
+    )
 
-    from pandas import Interval
+    from pandas import (
+        Interval,
+    )
     from pandas.arrays import (
         DatetimeArray,
         TimedeltaArray,
     )
-    from pandas.core.arrays.base import ExtensionArray
-    from pandas.core.frame import DataFrame
-    from pandas.core.generic import NDFrame
+    from pandas.core.arrays.base import (
+        ExtensionArray,
+    )
+    from pandas.core.frame import (
+        DataFrame,
+    )
+    from pandas.core.generic import (
+        NDFrame,
+    )
     from pandas.core.groupby.generic import (
         DataFrameGroupBy,
         GroupBy,
         SeriesGroupBy,
     )
-    from pandas.core.indexes.base import Index
+    from pandas.core.indexes.base import (
+        Index,
+    )
     from pandas.core.internals import (
         ArrayManager,
         BlockManager,
         SingleArrayManager,
         SingleBlockManager,
     )
-    from pandas.core.resample import Resampler
-    from pandas.core.series import Series
-    from pandas.core.window.rolling import BaseWindow
+    from pandas.core.resample import (
+        Resampler,
+    )
+    from pandas.core.series import (
+        Series,
+    )
+    from pandas.core.window.rolling import (
+        BaseWindow,
+    )
 
-    from pandas.io.formats.format import EngFormatter
+    from pandas.io.formats.format import (
+        EngFormatter,
+    )
 
     ScalarLike_co = Union[
         int,
diff --git a/pandas/api/extensions/__init__.py b/pandas/api/extensions/__init__.py
index ea5f1ba926899..2e480474a74a7 100644
--- a/pandas/api/extensions/__init__.py
+++ b/pandas/api/extensions/__init__.py
@@ -2,7 +2,9 @@
 Public API for extending pandas objects.
 """
 
-from pandas._libs.lib import no_default
+from pandas._libs.lib import (
+    no_default,
+)
 
 from pandas.core.dtypes.base import (
     ExtensionDtype,
@@ -14,7 +16,9 @@
     register_index_accessor,
     register_series_accessor,
 )
-from pandas.core.algorithms import take
+from pandas.core.algorithms import (
+    take,
+)
 from pandas.core.arrays import (
     ExtensionArray,
     ExtensionScalarOpsMixin,
diff --git a/pandas/api/indexers/__init__.py b/pandas/api/indexers/__init__.py
index 78357f11dc3b7..1043327de718f 100644
--- a/pandas/api/indexers/__init__.py
+++ b/pandas/api/indexers/__init__.py
@@ -2,7 +2,9 @@
 Public API for Rolling Window Indexers.
 """
 
-from pandas.core.indexers import check_array_indexer
+from pandas.core.indexers import (
+    check_array_indexer,
+)
 from pandas.core.indexers.objects import (
     BaseIndexer,
     FixedForwardWindowIndexer,
diff --git a/pandas/api/interchange/__init__.py b/pandas/api/interchange/__init__.py
index 2f3a73bc46b31..1d79982675ed3 100644
--- a/pandas/api/interchange/__init__.py
+++ b/pandas/api/interchange/__init__.py
@@ -2,7 +2,11 @@
 Public API for DataFrame interchange protocol.
 """
 
-from pandas.core.interchange.dataframe_protocol import DataFrame
-from pandas.core.interchange.from_dataframe import from_dataframe
+from pandas.core.interchange.dataframe_protocol import (
+    DataFrame,
+)
+from pandas.core.interchange.from_dataframe import (
+    from_dataframe,
+)
 
 __all__ = ["from_dataframe", "DataFrame"]
diff --git a/pandas/api/types/__init__.py b/pandas/api/types/__init__.py
index fb1abdd5b18ec..bbf6c77a021a9 100644
--- a/pandas/api/types/__init__.py
+++ b/pandas/api/types/__init__.py
@@ -2,10 +2,14 @@
 Public toolkit API.
 """
 
-from pandas._libs.lib import infer_dtype
+from pandas._libs.lib import (
+    infer_dtype,
+)
 
 from pandas.core.dtypes.api import *  # noqa: F401, F403
-from pandas.core.dtypes.concat import union_categoricals
+from pandas.core.dtypes.concat import (
+    union_categoricals,
+)
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
     DatetimeTZDtype,
diff --git a/pandas/compat/__init__.py b/pandas/compat/__init__.py
index 60a9b3d4fd30e..be398613a1b7c 100644
--- a/pandas/compat/__init__.py
+++ b/pandas/compat/__init__.py
@@ -7,13 +7,17 @@
 Other items:
 * platform checker
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import os
 import platform
 import sys
 
-from pandas._typing import F
+from pandas._typing import (
+    F,
+)
 from pandas.compat._constants import (
     IS64,
     PY39,
diff --git a/pandas/compat/_constants.py b/pandas/compat/_constants.py
index 75d99f5ae51fb..3bcf3f998015f 100644
--- a/pandas/compat/_constants.py
+++ b/pandas/compat/_constants.py
@@ -5,7 +5,9 @@
 Constants relevant for the Python implementation.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import platform
 import sys
diff --git a/pandas/compat/_optional.py b/pandas/compat/_optional.py
index 01ac462eeb659..a906b63ad7f66 100644
--- a/pandas/compat/_optional.py
+++ b/pandas/compat/_optional.py
@@ -1,13 +1,19 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import importlib
 import sys
 import types
 import warnings
 
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 # Update install.rst & setup.cfg when updating versions!
 
diff --git a/pandas/compat/compressors.py b/pandas/compat/compressors.py
index a4f39c4e34bd4..a893b07877715 100644
--- a/pandas/compat/compressors.py
+++ b/pandas/compat/compressors.py
@@ -2,12 +2,18 @@
 Patched ``BZ2File`` and ``LZMAFile`` to handle pickle protocol 5.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import bz2
-from pickle import PickleBuffer
+from pickle import (
+    PickleBuffer,
+)
 
-from pandas.compat._constants import PY310
+from pandas.compat._constants import (
+    PY310,
+)
 
 try:
     import lzma
diff --git a/pandas/compat/numpy/__init__.py b/pandas/compat/numpy/__init__.py
index 6f31358dabe86..31f87473a0924 100644
--- a/pandas/compat/numpy/__init__.py
+++ b/pandas/compat/numpy/__init__.py
@@ -1,7 +1,9 @@
 """ support numpy compatibility across versions """
 import numpy as np
 
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 # numpy versioning
 _np_version = np.__version__
diff --git a/pandas/compat/numpy/function.py b/pandas/compat/numpy/function.py
index 2c71990d74cb1..9d3651ac64fba 100644
--- a/pandas/compat/numpy/function.py
+++ b/pandas/compat/numpy/function.py
@@ -15,7 +15,9 @@
 methods that are spread throughout the codebase. This module will make it
 easier to adjust to future upstream changes in the analogous numpy signatures.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
@@ -24,7 +26,9 @@
     overload,
 )
 
-from numpy import ndarray
+from numpy import (
+    ndarray,
+)
 
 from pandas._libs.lib import (
     is_bool,
@@ -34,7 +38,9 @@
     Axis,
     AxisInt,
 )
-from pandas.errors import UnsupportedFunctionCall
+from pandas.errors import (
+    UnsupportedFunctionCall,
+)
 from pandas.util._validators import (
     validate_args,
     validate_args_and_kwargs,
diff --git a/pandas/compat/pickle_compat.py b/pandas/compat/pickle_compat.py
index 9800c960f031b..7869d42df8387 100644
--- a/pandas/compat/pickle_compat.py
+++ b/pandas/compat/pickle_compat.py
@@ -1,26 +1,38 @@
 """
 Support pre-0.12 series pickle compatibility.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import contextlib
 import copy
 import io
 import pickle as pkl
-from typing import Generator
+from typing import (
+    Generator,
+)
 
 import numpy as np
 
-from pandas._libs.arrays import NDArrayBacked
-from pandas._libs.tslibs import BaseOffset
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
+from pandas._libs.tslibs import (
+    BaseOffset,
+)
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 from pandas.core.arrays import (
     DatetimeArray,
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.internals import BlockManager
+from pandas.core.internals import (
+    BlockManager,
+)
 
 
 def load_reduce(self):
diff --git a/pandas/compat/pyarrow.py b/pandas/compat/pyarrow.py
index 020ec346490ff..c5fc390e6ab99 100644
--- a/pandas/compat/pyarrow.py
+++ b/pandas/compat/pyarrow.py
@@ -1,8 +1,12 @@
 """ support pyarrow compatibility across versions """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 try:
     import pyarrow as pa
diff --git a/pandas/conftest.py b/pandas/conftest.py
index aab6de1724677..2e1122d447860 100644
--- a/pandas/conftest.py
+++ b/pandas/conftest.py
@@ -17,9 +17,13 @@
 - Dtypes
 - Misc
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 from datetime import (
     date,
     datetime,
@@ -27,7 +31,9 @@
     timedelta,
     timezone,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import operator
 import os
 from typing import (
@@ -41,7 +47,9 @@
     tzutc,
 )
 import hypothesis
-from hypothesis import strategies as st
+from hypothesis import (
+    strategies as st,
+)
 import numpy as np
 import pytest
 from pytz import (
@@ -67,7 +75,9 @@
     compat,
 )
 import pandas._testing as tm
-from pandas.core import ops
+from pandas.core import (
+    ops,
+)
 from pandas.core.indexes.api import (
     Index,
     MultiIndex,
@@ -1773,7 +1783,9 @@ def ip():
     Will raise a skip if IPython is not installed.
     """
     pytest.importorskip("IPython", minversion="6.0.0")
-    from IPython.core.interactiveshell import InteractiveShell
+    from IPython.core.interactiveshell import (
+        InteractiveShell,
+    )
 
     # GH#35711 make sure sqlite history file handle is not leaked
     from traitlets.config import Config  # isort:skip
@@ -1789,7 +1801,9 @@ def spmatrix(request):
     """
     Yields scipy sparse matrix classes.
     """
-    from scipy import sparse
+    from scipy import (
+        sparse,
+    )
 
     return getattr(sparse, request.param + "_matrix")
 
@@ -1820,9 +1834,15 @@ def sort_by_key(request):
 @pytest.fixture()
 def fsspectest():
     pytest.importorskip("fsspec")
-    from fsspec import register_implementation
-    from fsspec.implementations.memory import MemoryFileSystem
-    from fsspec.registry import _registry as registry
+    from fsspec import (
+        register_implementation,
+    )
+    from fsspec.implementations.memory import (
+        MemoryFileSystem,
+    )
+    from fsspec.registry import (
+        _registry as registry,
+    )
 
     class TestMemoryFS(MemoryFileSystem):
         protocol = "testmem"
diff --git a/pandas/core/_numba/executor.py b/pandas/core/_numba/executor.py
index 13d8b52bae39c..37c53902086e8 100644
--- a/pandas/core/_numba/executor.py
+++ b/pandas/core/_numba/executor.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import functools
 from typing import (
@@ -8,8 +10,12 @@
 
 import numpy as np
 
-from pandas._typing import Scalar
-from pandas.compat._optional import import_optional_dependency
+from pandas._typing import (
+    Scalar,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 
 @functools.lru_cache(maxsize=None)
diff --git a/pandas/core/_numba/kernels/__init__.py b/pandas/core/_numba/kernels/__init__.py
index 219ff023bf7dc..c8034be5b6557 100644
--- a/pandas/core/_numba/kernels/__init__.py
+++ b/pandas/core/_numba/kernels/__init__.py
@@ -1,6 +1,14 @@
-from pandas.core._numba.kernels.mean_ import sliding_mean
-from pandas.core._numba.kernels.min_max_ import sliding_min_max
-from pandas.core._numba.kernels.sum_ import sliding_sum
-from pandas.core._numba.kernels.var_ import sliding_var
+from pandas.core._numba.kernels.mean_ import (
+    sliding_mean,
+)
+from pandas.core._numba.kernels.min_max_ import (
+    sliding_min_max,
+)
+from pandas.core._numba.kernels.sum_ import (
+    sliding_sum,
+)
+from pandas.core._numba.kernels.var_ import (
+    sliding_var,
+)
 
 __all__ = ["sliding_mean", "sliding_sum", "sliding_var", "sliding_min_max"]
diff --git a/pandas/core/_numba/kernels/mean_.py b/pandas/core/_numba/kernels/mean_.py
index 725989e093441..cb92460d16bcb 100644
--- a/pandas/core/_numba/kernels/mean_.py
+++ b/pandas/core/_numba/kernels/mean_.py
@@ -6,12 +6,16 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numba
 import numpy as np
 
-from pandas.core._numba.kernels.shared import is_monotonic_increasing
+from pandas.core._numba.kernels.shared import (
+    is_monotonic_increasing,
+)
 
 
 @numba.jit(nopython=True, nogil=True, parallel=False)
diff --git a/pandas/core/_numba/kernels/min_max_.py b/pandas/core/_numba/kernels/min_max_.py
index acba66a6e4f63..be6225e289bf3 100644
--- a/pandas/core/_numba/kernels/min_max_.py
+++ b/pandas/core/_numba/kernels/min_max_.py
@@ -6,7 +6,9 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numba
 import numpy as np
diff --git a/pandas/core/_numba/kernels/shared.py b/pandas/core/_numba/kernels/shared.py
index 6e6bcef590d06..34cb7c79cdb2f 100644
--- a/pandas/core/_numba/kernels/shared.py
+++ b/pandas/core/_numba/kernels/shared.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numba
 import numpy as np
diff --git a/pandas/core/_numba/kernels/sum_.py b/pandas/core/_numba/kernels/sum_.py
index 056897189fe67..6830bc49a691b 100644
--- a/pandas/core/_numba/kernels/sum_.py
+++ b/pandas/core/_numba/kernels/sum_.py
@@ -6,12 +6,16 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numba
 import numpy as np
 
-from pandas.core._numba.kernels.shared import is_monotonic_increasing
+from pandas.core._numba.kernels.shared import (
+    is_monotonic_increasing,
+)
 
 
 @numba.jit(nopython=True, nogil=True, parallel=False)
diff --git a/pandas/core/_numba/kernels/var_.py b/pandas/core/_numba/kernels/var_.py
index d3243f4928dca..67a99a9a0290f 100644
--- a/pandas/core/_numba/kernels/var_.py
+++ b/pandas/core/_numba/kernels/var_.py
@@ -6,12 +6,16 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numba
 import numpy as np
 
-from pandas.core._numba.kernels.shared import is_monotonic_increasing
+from pandas.core._numba.kernels.shared import (
+    is_monotonic_increasing,
+)
 
 
 @numba.jit(nopython=True, nogil=True, parallel=False)
diff --git a/pandas/core/accessor.py b/pandas/core/accessor.py
index 58da2cd994777..1264088cc61b6 100644
--- a/pandas/core/accessor.py
+++ b/pandas/core/accessor.py
@@ -4,7 +4,9 @@
 that can be mixed into or pinned onto other pandas classes.
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Callable,
@@ -12,8 +14,12 @@
 )
 import warnings
 
-from pandas.util._decorators import doc
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 
 class DirNamesMixin:
@@ -321,20 +327,26 @@ def decorator(accessor):
 
 @doc(_register_accessor, klass="DataFrame")
 def register_dataframe_accessor(name):
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
     return _register_accessor(name, DataFrame)
 
 
 @doc(_register_accessor, klass="Series")
 def register_series_accessor(name):
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     return _register_accessor(name, Series)
 
 
 @doc(_register_accessor, klass="Index")
 def register_index_accessor(name):
-    from pandas import Index
+    from pandas import (
+        Index,
+    )
 
     return _register_accessor(name, Index)
diff --git a/pandas/core/algorithms.py b/pandas/core/algorithms.py
index c82b47867fbb3..59dcfba08c8dd 100644
--- a/pandas/core/algorithms.py
+++ b/pandas/core/algorithms.py
@@ -2,10 +2,14 @@
 Generic data algorithms. This module is experimental at the moment and not
 intended for public consumption
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Literal,
@@ -29,8 +33,12 @@
     TakeIndexer,
     npt,
 )
-from pandas.util._decorators import doc
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.cast import (
     construct_1d_object_array_from_listlike,
@@ -58,7 +66,9 @@
     is_timedelta64_dtype,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.concat import concat_compat
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
 from pandas.core.dtypes.dtypes import (
     BaseMaskedDtype,
     ExtensionDtype,
@@ -77,13 +87,17 @@
     na_value_for_dtype,
 )
 
-from pandas.core.array_algos.take import take_nd
+from pandas.core.array_algos.take import (
+    take_nd,
+)
 from pandas.core.construction import (
     array as pd_array,
     ensure_wrapped_if_datetimelike,
     extract_array,
 )
-from pandas.core.indexers import validate_indices
+from pandas.core.indexers import (
+    validate_indices,
+)
 
 if TYPE_CHECKING:
     from pandas._typing import (
@@ -844,7 +858,9 @@ def value_counts(
     name = "proportion" if normalize else "count"
 
     if bins is not None:
-        from pandas.core.reshape.tile import cut
+        from pandas.core.reshape.tile import (
+            cut,
+        )
 
         values = Series(values)
         try:
@@ -1629,8 +1645,12 @@ def _sort_tuples(values: np.ndarray) -> np.ndarray:
     nans (can't use `np.sort` as it may fail when str and nan are mixed in a
     column as types cannot be compared).
     """
-    from pandas.core.internals.construction import to_arrays
-    from pandas.core.sorting import lexsort_indexer
+    from pandas.core.internals.construction import (
+        to_arrays,
+    )
+    from pandas.core.sorting import (
+        lexsort_indexer,
+    )
 
     arrays, _ = to_arrays(values, None)
     indexer = lexsort_indexer(arrays, orders=True)
@@ -1660,7 +1680,9 @@ def union_with_duplicates(
     -----
     Caller is responsible for ensuring lvals.dtype == rvals.dtype.
     """
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     l_count = value_counts(lvals, dropna=False)
     r_count = value_counts(rvals, dropna=False)
diff --git a/pandas/core/api.py b/pandas/core/api.py
index c0b828d9330b4..dabf2363b12b3 100644
--- a/pandas/core/api.py
+++ b/pandas/core/api.py
@@ -4,7 +4,9 @@
     Timedelta,
     Timestamp,
 )
-from pandas._libs.missing import NA
+from pandas._libs.missing import (
+    NA,
+)
 
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
@@ -24,9 +26,15 @@
     unique,
     value_counts,
 )
-from pandas.core.arrays import Categorical
-from pandas.core.arrays.arrow import ArrowDtype
-from pandas.core.arrays.boolean import BooleanDtype
+from pandas.core.arrays import (
+    Categorical,
+)
+from pandas.core.arrays.arrow import (
+    ArrowDtype,
+)
+from pandas.core.arrays.boolean import (
+    BooleanDtype,
+)
 from pandas.core.arrays.floating import (
     Float32Dtype,
     Float64Dtype,
@@ -41,9 +49,15 @@
     UInt32Dtype,
     UInt64Dtype,
 )
-from pandas.core.arrays.string_ import StringDtype
-from pandas.core.construction import array
-from pandas.core.flags import Flags
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
+from pandas.core.construction import (
+    array,
+)
+from pandas.core.flags import (
+    Flags,
+)
 from pandas.core.groupby import (
     Grouper,
     NamedAgg,
@@ -66,16 +80,34 @@
     Interval,
     interval_range,
 )
-from pandas.core.indexes.period import period_range
-from pandas.core.indexes.timedeltas import timedelta_range
-from pandas.core.indexing import IndexSlice
-from pandas.core.series import Series
-from pandas.core.tools.datetimes import to_datetime
-from pandas.core.tools.numeric import to_numeric
-from pandas.core.tools.timedeltas import to_timedelta
+from pandas.core.indexes.period import (
+    period_range,
+)
+from pandas.core.indexes.timedeltas import (
+    timedelta_range,
+)
+from pandas.core.indexing import (
+    IndexSlice,
+)
+from pandas.core.series import (
+    Series,
+)
+from pandas.core.tools.datetimes import (
+    to_datetime,
+)
+from pandas.core.tools.numeric import (
+    to_numeric,
+)
+from pandas.core.tools.timedeltas import (
+    to_timedelta,
+)
 
-from pandas.io.formats.format import set_eng_float_format
-from pandas.tseries.offsets import DateOffset
+from pandas.io.formats.format import (
+    set_eng_float_format,
+)
+from pandas.tseries.offsets import (
+    DateOffset,
+)
 
 # DataFrame needs to be imported after NamedAgg to avoid a circular import
 from pandas.core.frame import DataFrame  # isort:skip
diff --git a/pandas/core/apply.py b/pandas/core/apply.py
index 4790d00a071cb..85599d8505338 100644
--- a/pandas/core/apply.py
+++ b/pandas/core/apply.py
@@ -1,9 +1,17 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import abc
-from collections import defaultdict
-from contextlib import nullcontext
-from functools import partial
+from collections import (
+    defaultdict,
+)
+from contextlib import (
+    nullcontext,
+)
+from functools import (
+    partial,
+)
 import inspect
 from typing import (
     TYPE_CHECKING,
@@ -22,9 +30,13 @@
 
 import numpy as np
 
-from pandas._config import option_context
+from pandas._config import (
+    option_context,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     AggFuncType,
     AggFuncTypeBase,
@@ -35,10 +47,16 @@
     NDFrameT,
     npt,
 )
-from pandas.errors import SpecificationError
-from pandas.util._decorators import cache_readonly
+from pandas.errors import (
+    SpecificationError,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
-from pandas.core.dtypes.cast import is_nested_object
+from pandas.core.dtypes.cast import (
+    is_nested_object,
+)
 from pandas.core.dtypes.common import (
     is_dict_like,
     is_extension_array_dtype,
@@ -51,10 +69,16 @@
     ABCSeries,
 )
 
-from pandas.core.algorithms import safe_sort
-from pandas.core.base import SelectionMixin
+from pandas.core.algorithms import (
+    safe_sort,
+)
+from pandas.core.base import (
+    SelectionMixin,
+)
 import pandas.core.common as com
-from pandas.core.construction import ensure_wrapped_if_datetimelike
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -62,9 +86,15 @@
         Index,
         Series,
     )
-    from pandas.core.groupby import GroupBy
-    from pandas.core.resample import Resampler
-    from pandas.core.window.rolling import BaseWindow
+    from pandas.core.groupby import (
+        GroupBy,
+    )
+    from pandas.core.resample import (
+        Resampler,
+    )
+    from pandas.core.window.rolling import (
+        BaseWindow,
+    )
 
 
 ResType = Dict[int, Any]
@@ -244,7 +274,9 @@ def transform_dict_like(self, func):
         """
         Compute transform in the case of a dict-like func
         """
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         obj = self.obj
         args = self.args
@@ -298,7 +330,9 @@ def agg_list_like(self) -> DataFrame | Series:
             DataFrameGroupBy,
             SeriesGroupBy,
         )
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         obj = self.obj
         arg = cast(List[AggFuncTypeBase], self.f)
@@ -362,7 +396,9 @@ def agg_list_like(self) -> DataFrame | Series:
         except TypeError as err:
             # we are concatting non-NDFrame objects,
             # e.g. a list of scalars
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             result = Series(results, index=keys, name=obj.name)
             if is_nested_object(result):
@@ -379,12 +415,16 @@ def agg_dict_like(self) -> DataFrame | Series:
         -------
         Result of aggregation.
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
         from pandas.core.groupby.generic import (
             DataFrameGroupBy,
             SeriesGroupBy,
         )
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         obj = self.obj
         arg = cast(AggFuncTypeDict, self.f)
@@ -453,7 +493,9 @@ def agg_dict_like(self) -> DataFrame | Series:
                 "simultaneously"
             )
         else:
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             # we have a dict of scalars
             # GH 36212 use name only if obj is a series
@@ -717,7 +759,9 @@ def apply_empty_result(self):
         # we may need to infer
         should_reduce = self.result_type == "reduce"
 
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         if not should_reduce:
             try:
@@ -820,7 +864,9 @@ def apply_series_generator(self) -> tuple[ResType, Index]:
         return results, res_index
 
     def wrap_results(self, results: ResType, res_index: Index) -> DataFrame | Series:
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         # see if we can infer the results
         if len(results) > 0 and 0 in results and is_sequence(results[0]):
@@ -1255,7 +1301,9 @@ def normalize_keyword_aggregation(
     >>> normalize_keyword_aggregation({"output": ("input", "sum")})
     (defaultdict(<class 'list'>, {'input': ['sum']}), ('output',), array([0]))
     """
-    from pandas.core.indexes.base import Index
+    from pandas.core.indexes.base import (
+        Index,
+    )
 
     # Normalize the aggregation functions as Mapping[column, List[func]],
     # process normally, then fixup the names.
@@ -1341,7 +1389,9 @@ def relabel_result(
     bar  NaN  NaN  4.0
     dat  NaN  NaN  2.5
     """
-    from pandas.core.indexes.base import Index
+    from pandas.core.indexes.base import (
+        Index,
+    )
 
     reordered_indexes = [
         pair[0] for pair in sorted(zip(columns, order), key=lambda t: t[1])
diff --git a/pandas/core/array_algos/datetimelike_accumulations.py b/pandas/core/array_algos/datetimelike_accumulations.py
index d0c622742126b..8b57cac9788e1 100644
--- a/pandas/core/array_algos/datetimelike_accumulations.py
+++ b/pandas/core/array_algos/datetimelike_accumulations.py
@@ -2,15 +2,23 @@
 datetimelke_accumulations.py is for accumulations of datetimelike extension arrays
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Callable
+from typing import (
+    Callable,
+)
 
 import numpy as np
 
-from pandas._libs import iNaT
+from pandas._libs import (
+    iNaT,
+)
 
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 
 def _cum_func(
diff --git a/pandas/core/array_algos/masked_accumulations.py b/pandas/core/array_algos/masked_accumulations.py
index 07113128e0947..4fefc7065f671 100644
--- a/pandas/core/array_algos/masked_accumulations.py
+++ b/pandas/core/array_algos/masked_accumulations.py
@@ -3,13 +3,19 @@
 for missing values.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Callable
+from typing import (
+    Callable,
+)
 
 import numpy as np
 
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 from pandas.core.dtypes.common import (
     is_bool_dtype,
diff --git a/pandas/core/array_algos/masked_reductions.py b/pandas/core/array_algos/masked_reductions.py
index 4be053cba75b7..95b8133af8084 100644
--- a/pandas/core/array_algos/masked_reductions.py
+++ b/pandas/core/array_algos/masked_reductions.py
@@ -2,19 +2,27 @@
 masked_reductions.py is for reduction algorithms using a mask-based approach
 for missing values.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Callable
+from typing import (
+    Callable,
+)
 
 import numpy as np
 
-from pandas._libs import missing as libmissing
+from pandas._libs import (
+    missing as libmissing,
+)
 from pandas._typing import (
     AxisInt,
     npt,
 )
 
-from pandas.core.nanops import check_below_min_count
+from pandas.core.nanops import (
+    check_below_min_count,
+)
 
 
 def _reductions(
diff --git a/pandas/core/array_algos/putmask.py b/pandas/core/array_algos/putmask.py
index 3e2c711d12f26..4bf654f4caabb 100644
--- a/pandas/core/array_algos/putmask.py
+++ b/pandas/core/array_algos/putmask.py
@@ -1,7 +1,9 @@
 """
 EA-compatible analogue to np.putmask
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -10,20 +12,32 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     ArrayLike,
     npt,
 )
-from pandas.compat import np_version_under1p21
+from pandas.compat import (
+    np_version_under1p21,
+)
 
-from pandas.core.dtypes.cast import infer_dtype_from
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.cast import (
+    infer_dtype_from,
+)
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
-from pandas.core.arrays import ExtensionArray
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 if TYPE_CHECKING:
-    from pandas import MultiIndex
+    from pandas import (
+        MultiIndex,
+    )
 
 
 def putmask_inplace(values: ArrayLike, mask: npt.NDArray[np.bool_], value: Any) -> None:
diff --git a/pandas/core/array_algos/quantile.py b/pandas/core/array_algos/quantile.py
index d3d9cb1b29b9a..5b4f06f7d4ca4 100644
--- a/pandas/core/array_algos/quantile.py
+++ b/pandas/core/array_algos/quantile.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
@@ -7,7 +9,9 @@
     Scalar,
     npt,
 )
-from pandas.compat.numpy import np_percentile_argname
+from pandas.compat.numpy import (
+    np_percentile_argname,
+)
 
 from pandas.core.dtypes.missing import (
     isna,
diff --git a/pandas/core/array_algos/replace.py b/pandas/core/array_algos/replace.py
index 14bf26f40ea0d..bcc291aa56b95 100644
--- a/pandas/core/array_algos/replace.py
+++ b/pandas/core/array_algos/replace.py
@@ -1,7 +1,9 @@
 """
 Methods used by Block.replace and related methods.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 import re
@@ -23,7 +25,9 @@
     is_re_compilable,
     is_scalar,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 
 def should_use_regex(regex: bool, to_replace: Any) -> bool:
diff --git a/pandas/core/array_algos/take.py b/pandas/core/array_algos/take.py
index 7282b0729f73f..68e9fcdf83723 100644
--- a/pandas/core/array_algos/take.py
+++ b/pandas/core/array_algos/take.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import functools
 from typing import (
@@ -19,18 +21,28 @@
     npt,
 )
 
-from pandas.core.dtypes.cast import maybe_promote
+from pandas.core.dtypes.cast import (
+    maybe_promote,
+)
 from pandas.core.dtypes.common import (
     ensure_platform_int,
     is_1d_only_ea_obj,
 )
-from pandas.core.dtypes.missing import na_value_for_dtype
+from pandas.core.dtypes.missing import (
+    na_value_for_dtype,
+)
 
-from pandas.core.construction import ensure_wrapped_if_datetimelike
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
-    from pandas.core.arrays.base import ExtensionArray
+    from pandas.core.arrays._mixins import (
+        NDArrayBackedExtensionArray,
+    )
+    from pandas.core.arrays.base import (
+        ExtensionArray,
+    )
 
 
 @overload
diff --git a/pandas/core/array_algos/transforms.py b/pandas/core/array_algos/transforms.py
index 56648189f1759..775c7904c9c71 100644
--- a/pandas/core/array_algos/transforms.py
+++ b/pandas/core/array_algos/transforms.py
@@ -2,11 +2,15 @@
 transforms.py is for shape-preserving functions.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas._typing import AxisInt
+from pandas._typing import (
+    AxisInt,
+)
 
 
 def shift(values: np.ndarray, periods: int, axis: AxisInt, fill_value) -> np.ndarray:
diff --git a/pandas/core/arraylike.py b/pandas/core/arraylike.py
index 1d10d797866f4..77e503b98e214 100644
--- a/pandas/core/arraylike.py
+++ b/pandas/core/arraylike.py
@@ -4,21 +4,37 @@
     Index
     ExtensionArray
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
-from typing import Any
+from typing import (
+    Any,
+)
 
 import numpy as np
 
-from pandas._libs import lib
-from pandas._libs.ops_dispatch import maybe_dispatch_ufunc_to_dunder_op
-
-from pandas.core.dtypes.generic import ABCNDFrame
-
-from pandas.core import roperator
-from pandas.core.construction import extract_array
-from pandas.core.ops.common import unpack_zerodim_and_defer
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.ops_dispatch import (
+    maybe_dispatch_ufunc_to_dunder_op,
+)
+
+from pandas.core.dtypes.generic import (
+    ABCNDFrame,
+)
+
+from pandas.core import (
+    roperator,
+)
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.ops.common import (
+    unpack_zerodim_and_defer,
+)
 
 REDUCTION_ALIASES = {
     "maximum": "max",
@@ -262,8 +278,12 @@ def array_ufunc(self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any)
         DataFrame,
         Series,
     )
-    from pandas.core.generic import NDFrame
-    from pandas.core.internals import BlockManager
+    from pandas.core.generic import (
+        NDFrame,
+    )
+    from pandas.core.internals import (
+        BlockManager,
+    )
 
     cls = type(self)
 
diff --git a/pandas/core/arrays/__init__.py b/pandas/core/arrays/__init__.py
index 79be8760db931..60eaf40232626 100644
--- a/pandas/core/arrays/__init__.py
+++ b/pandas/core/arrays/__init__.py
@@ -1,25 +1,51 @@
-from pandas.core.arrays.arrow import ArrowExtensionArray
+from pandas.core.arrays.arrow import (
+    ArrowExtensionArray,
+)
 from pandas.core.arrays.base import (
     ExtensionArray,
     ExtensionOpsMixin,
     ExtensionScalarOpsMixin,
 )
-from pandas.core.arrays.boolean import BooleanArray
-from pandas.core.arrays.categorical import Categorical
-from pandas.core.arrays.datetimes import DatetimeArray
-from pandas.core.arrays.floating import FloatingArray
-from pandas.core.arrays.integer import IntegerArray
-from pandas.core.arrays.interval import IntervalArray
-from pandas.core.arrays.masked import BaseMaskedArray
-from pandas.core.arrays.numpy_ import PandasArray
+from pandas.core.arrays.boolean import (
+    BooleanArray,
+)
+from pandas.core.arrays.categorical import (
+    Categorical,
+)
+from pandas.core.arrays.datetimes import (
+    DatetimeArray,
+)
+from pandas.core.arrays.floating import (
+    FloatingArray,
+)
+from pandas.core.arrays.integer import (
+    IntegerArray,
+)
+from pandas.core.arrays.interval import (
+    IntervalArray,
+)
+from pandas.core.arrays.masked import (
+    BaseMaskedArray,
+)
+from pandas.core.arrays.numpy_ import (
+    PandasArray,
+)
 from pandas.core.arrays.period import (
     PeriodArray,
     period_array,
 )
-from pandas.core.arrays.sparse import SparseArray
-from pandas.core.arrays.string_ import StringArray
-from pandas.core.arrays.string_arrow import ArrowStringArray
-from pandas.core.arrays.timedeltas import TimedeltaArray
+from pandas.core.arrays.sparse import (
+    SparseArray,
+)
+from pandas.core.arrays.string_ import (
+    StringArray,
+)
+from pandas.core.arrays.string_arrow import (
+    ArrowStringArray,
+)
+from pandas.core.arrays.timedeltas import (
+    TimedeltaArray,
+)
 
 __all__ = [
     "ArrowExtensionArray",
diff --git a/pandas/core/arrays/_mixins.py b/pandas/core/arrays/_mixins.py
index 5d1bb04cfacbd..8c3aea03337aa 100644
--- a/pandas/core/arrays/_mixins.py
+++ b/pandas/core/arrays/_mixins.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import wraps
+from functools import (
+    wraps,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -13,8 +17,12 @@
 
 import numpy as np
 
-from pandas._libs import lib
-from pandas._libs.arrays import NDArrayBacked
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -29,8 +37,12 @@
     npt,
     type_t,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import doc
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    doc,
+)
 from pandas.util._validators import (
     validate_bool_kwarg,
     validate_fillna_kwargs,
@@ -46,20 +58,36 @@
     ExtensionDtype,
     PeriodDtype,
 )
-from pandas.core.dtypes.missing import array_equivalent
+from pandas.core.dtypes.missing import (
+    array_equivalent,
+)
 
-from pandas.core import missing
+from pandas.core import (
+    missing,
+)
 from pandas.core.algorithms import (
     take,
     unique,
     value_counts,
 )
-from pandas.core.array_algos.quantile import quantile_with_mask
-from pandas.core.array_algos.transforms import shift
-from pandas.core.arrays.base import ExtensionArray
-from pandas.core.construction import extract_array
-from pandas.core.indexers import check_array_indexer
-from pandas.core.sorting import nargminmax
+from pandas.core.array_algos.quantile import (
+    quantile_with_mask,
+)
+from pandas.core.array_algos.transforms import (
+    shift,
+)
+from pandas.core.arrays.base import (
+    ExtensionArray,
+)
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.indexers import (
+    check_array_indexer,
+)
+from pandas.core.sorting import (
+    nargminmax,
+)
 
 NDArrayBackedExtensionArrayT = TypeVar(
     "NDArrayBackedExtensionArrayT", bound="NDArrayBackedExtensionArray"
@@ -71,7 +99,9 @@
         NumpyValueArrayLike,
     )
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
 
 def ravel_compat(meth: F) -> F:
@@ -138,11 +168,15 @@ def view(self, dtype: Dtype | None = None) -> ArrayLike:
             cls = dtype.construct_array_type()
             return cls(arr.view("i8"), dtype=dtype)
         elif dtype == "M8[ns]":
-            from pandas.core.arrays import DatetimeArray
+            from pandas.core.arrays import (
+                DatetimeArray,
+            )
 
             return DatetimeArray(arr.view("i8"), dtype=dtype)
         elif dtype == "m8[ns]":
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             return TimedeltaArray(arr.view("i8"), dtype=dtype)
 
diff --git a/pandas/core/arrays/_ranges.py b/pandas/core/arrays/_ranges.py
index c93fc94685358..814037e20b692 100644
--- a/pandas/core/arrays/_ranges.py
+++ b/pandas/core/arrays/_ranges.py
@@ -2,11 +2,15 @@
 Helper functions to generate range-like data for DatetimeArray
 (and possibly TimedeltaArray/PeriodArray)
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas._libs.lib import i8max
+from pandas._libs.lib import (
+    i8max,
+)
 from pandas._libs.tslibs import (
     BaseOffset,
     OutOfBoundsDatetime,
@@ -14,7 +18,9 @@
     Timestamp,
     iNaT,
 )
-from pandas._typing import npt
+from pandas._typing import (
+    npt,
+)
 
 
 def generate_regular_range(
diff --git a/pandas/core/arrays/arrow/__init__.py b/pandas/core/arrays/arrow/__init__.py
index e7fa6fae0a5a1..0b9c4bd8bab11 100644
--- a/pandas/core/arrays/arrow/__init__.py
+++ b/pandas/core/arrays/arrow/__init__.py
@@ -1,4 +1,8 @@
-from pandas.core.arrays.arrow.array import ArrowExtensionArray
-from pandas.core.arrays.arrow.dtype import ArrowDtype
+from pandas.core.arrays.arrow.array import (
+    ArrowExtensionArray,
+)
+from pandas.core.arrays.arrow.dtype import (
+    ArrowDtype,
+)
 
 __all__ = ["ArrowDtype", "ArrowExtensionArray"]
diff --git a/pandas/core/arrays/arrow/_arrow_utils.py b/pandas/core/arrays/arrow/_arrow_utils.py
index 6e6ef6a2c20a8..093151103ac29 100644
--- a/pandas/core/arrays/arrow/_arrow_utils.py
+++ b/pandas/core/arrays/arrow/_arrow_utils.py
@@ -1,12 +1,18 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import warnings
 
 import numpy as np
 import pyarrow
 
-from pandas.errors import PerformanceWarning
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 
 def fallback_performancewarning(version: str | None = None) -> None:
diff --git a/pandas/core/arrays/arrow/array.py b/pandas/core/arrays/arrow/array.py
index bb4bdae188fd2..97e1f0b09ff83 100644
--- a/pandas/core/arrays/arrow/array.py
+++ b/pandas/core/arrays/arrow/array.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from copy import deepcopy
+from copy import (
+    deepcopy,
+)
 import operator
 import re
 from typing import (
@@ -15,7 +19,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -37,8 +43,12 @@
     pa_version_under9p0,
     pa_version_under11p0,
 )
-from pandas.util._decorators import doc
-from pandas.util._validators import validate_fillna_kwargs
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._validators import (
+    validate_fillna_kwargs,
+)
 
 from pandas.core.dtypes.common import (
     is_array_like,
@@ -49,27 +59,43 @@
     is_object_dtype,
     is_scalar,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core import roperator
-from pandas.core.arraylike import OpsMixin
-from pandas.core.arrays.base import ExtensionArray
+from pandas.core import (
+    roperator,
+)
+from pandas.core.arraylike import (
+    OpsMixin,
+)
+from pandas.core.arrays.base import (
+    ExtensionArray,
+)
 import pandas.core.common as com
 from pandas.core.indexers import (
     check_array_indexer,
     unpack_tuple_and_ellipses,
     validate_indices,
 )
-from pandas.core.strings.base import BaseStringArrayMethods
+from pandas.core.strings.base import (
+    BaseStringArrayMethods,
+)
 
-from pandas.tseries.frequencies import to_offset
+from pandas.tseries.frequencies import (
+    to_offset,
+)
 
 if not pa_version_under7p0:
     import pyarrow as pa
     import pyarrow.compute as pc
 
-    from pandas.core.arrays.arrow._arrow_utils import fallback_performancewarning
-    from pandas.core.arrays.arrow.dtype import ArrowDtype
+    from pandas.core.arrays.arrow._arrow_utils import (
+        fallback_performancewarning,
+    )
+    from pandas.core.arrays.arrow.dtype import (
+        ArrowDtype,
+    )
 
     ARROW_CMP_FUNCS = {
         "eq": pc.equal,
@@ -136,7 +162,9 @@ def floordiv_compat(
         NumpyValueArrayLike,
     )
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
 ArrowExtensionArrayT = TypeVar("ArrowExtensionArrayT", bound="ArrowExtensionArray")
 
@@ -270,15 +298,21 @@ def _from_sequence_of_strings(
             # pa_type is string/binary: scalars already correct type
             scalars = strings
         elif pa.types.is_timestamp(pa_type):
-            from pandas.core.tools.datetimes import to_datetime
+            from pandas.core.tools.datetimes import (
+                to_datetime,
+            )
 
             scalars = to_datetime(strings, errors="raise")
         elif pa.types.is_date(pa_type):
-            from pandas.core.tools.datetimes import to_datetime
+            from pandas.core.tools.datetimes import (
+                to_datetime,
+            )
 
             scalars = to_datetime(strings, errors="raise").date
         elif pa.types.is_duration(pa_type):
-            from pandas.core.tools.timedeltas import to_timedelta
+            from pandas.core.tools.timedeltas import (
+                to_timedelta,
+            )
 
             scalars = to_timedelta(strings, errors="raise")
             if pa_type.unit != "ns":
@@ -294,12 +328,16 @@ def _from_sequence_of_strings(
                 except pa.ArrowInvalid:
                     pass
         elif pa.types.is_time(pa_type):
-            from pandas.core.tools.times import to_time
+            from pandas.core.tools.times import (
+                to_time,
+            )
 
             # "coerce" to allow "null times" (None) to not raise
             scalars = to_time(strings, errors="coerce")
         elif pa.types.is_boolean(pa_type):
-            from pandas.core.arrays import BooleanArray
+            from pandas.core.arrays import (
+                BooleanArray,
+            )
 
             scalars = BooleanArray._from_sequence_of_strings(strings).to_numpy()
         elif (
@@ -307,7 +345,9 @@ def _from_sequence_of_strings(
             or pa.types.is_floating(pa_type)
             or pa.types.is_decimal(pa_type)
         ):
-            from pandas.core.tools.numeric import to_numeric
+            from pandas.core.tools.numeric import (
+                to_numeric,
+            )
 
             scalars = to_numeric(strings, errors="raise")
         else:
@@ -429,7 +469,9 @@ def __setstate__(self, state) -> None:
         self.__dict__.update(state)
 
     def _cmp_method(self, other, op):
-        from pandas.arrays import BooleanArray
+        from pandas.arrays import (
+            BooleanArray,
+        )
 
         pc_func = ARROW_CMP_FUNCS[op.__name__]
         if isinstance(other, ArrowExtensionArray):
diff --git a/pandas/core/arrays/arrow/dtype.py b/pandas/core/arrays/arrow/dtype.py
index e8adab019b097..4fe48f31d1924 100644
--- a/pandas/core/arrays/arrow/dtype.py
+++ b/pandas/core/arrays/arrow/dtype.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     date,
@@ -6,7 +8,9 @@
     time,
     timedelta,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import re
 
 import numpy as np
@@ -20,8 +24,12 @@
     DtypeObj,
     type_t,
 )
-from pandas.compat import pa_version_under7p0
-from pandas.util._decorators import cache_readonly
+from pandas.compat import (
+    pa_version_under7p0,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
 from pandas.core.dtypes.base import (
     StorageExtensionDtype,
@@ -32,7 +40,9 @@
     import pyarrow as pa
 
 if TYPE_CHECKING:
-    from pandas.core.arrays.arrow import ArrowExtensionArray
+    from pandas.core.arrays.arrow import (
+        ArrowExtensionArray,
+    )
 
 
 @register_extension_dtype
@@ -173,7 +183,9 @@ def construct_array_type(cls) -> type_t[ArrowExtensionArray]:
         -------
         type
         """
-        from pandas.core.arrays.arrow import ArrowExtensionArray
+        from pandas.core.arrays.arrow import (
+            ArrowExtensionArray,
+        )
 
         return ArrowExtensionArray
 
@@ -272,7 +284,9 @@ def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
         # We unwrap any masked dtypes, find the common dtype we would use
         #  for that, then re-mask the result.
         # Mirrors BaseMaskedDtype
-        from pandas.core.dtypes.cast import find_common_type
+        from pandas.core.dtypes.cast import (
+            find_common_type,
+        )
 
         new_dtype = find_common_type(
             [
diff --git a/pandas/core/arrays/arrow/extension_types.py b/pandas/core/arrays/arrow/extension_types.py
index 25f597af5e3cf..88b2261abadfa 100644
--- a/pandas/core/arrays/arrow/extension_types.py
+++ b/pandas/core/arrays/arrow/extension_types.py
@@ -1,12 +1,18 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import json
 
 import pyarrow
 
-from pandas._typing import IntervalClosedType
+from pandas._typing import (
+    IntervalClosedType,
+)
 
-from pandas.core.arrays.interval import VALID_CLOSED
+from pandas.core.arrays.interval import (
+    VALID_CLOSED,
+)
 
 
 class ArrowPeriodType(pyarrow.ExtensionType):
diff --git a/pandas/core/arrays/base.py b/pandas/core/arrays/base.py
index db8c87f0654cd..32bf03906993d 100644
--- a/pandas/core/arrays/base.py
+++ b/pandas/core/arrays/base.py
@@ -6,7 +6,9 @@
    This is an experimental API and subject to breaking changes
    without warning.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 from typing import (
@@ -24,7 +26,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     ArrayLike,
     AstypeArg,
@@ -39,9 +43,15 @@
     TakeIndexer,
     npt,
 )
-from pandas.compat import set_function_name
-from pandas.compat.numpy import function as nv
-from pandas.errors import AbstractMethodError
+from pandas.compat import (
+    set_function_name,
+)
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.errors import (
+    AbstractMethodError,
+)
 from pandas.util._decorators import (
     Appender,
     Substitution,
@@ -53,7 +63,9 @@
     validate_insert_loc,
 )
 
-from pandas.core.dtypes.cast import maybe_cast_to_extension_array
+from pandas.core.dtypes.cast import (
+    maybe_cast_to_extension_array,
+)
 from pandas.core.dtypes.common import (
     is_datetime64_dtype,
     is_dtype_equal,
@@ -62,13 +74,17 @@
     is_timedelta64_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 from pandas.core import (
     arraylike,
@@ -82,7 +98,9 @@
     rank,
     unique,
 )
-from pandas.core.array_algos.quantile import quantile_with_mask
+from pandas.core.array_algos.quantile import (
+    quantile_with_mask,
+)
 from pandas.core.sorting import (
     nargminmax,
     nargsort,
@@ -580,12 +598,16 @@ def astype(self, dtype: AstypeArg, copy: bool = True) -> ArrayLike:
             return cls._from_sequence(self, dtype=dtype, copy=copy)
 
         elif is_datetime64_dtype(dtype):
-            from pandas.core.arrays import DatetimeArray
+            from pandas.core.arrays import (
+                DatetimeArray,
+            )
 
             return DatetimeArray._from_sequence(self, dtype=dtype, copy=copy)
 
         elif is_timedelta64_dtype(dtype):
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             return TimedeltaArray._from_sequence(self, dtype=dtype, copy=copy)
 
@@ -1257,7 +1279,9 @@ def __repr__(self) -> str:
         if self.ndim > 1:
             return self._repr_2d()
 
-        from pandas.io.formats.printing import format_object_summary
+        from pandas.io.formats.printing import (
+            format_object_summary,
+        )
 
         # the short repr has no trailing newline, while the truncated
         # repr does. So we include a newline in our template, and strip
@@ -1269,7 +1293,9 @@ def __repr__(self) -> str:
         return f"{class_name}{data}\nLength: {len(self)}, dtype: {self.dtype}"
 
     def _repr_2d(self) -> str:
-        from pandas.io.formats.printing import format_object_summary
+        from pandas.io.formats.printing import (
+            format_object_summary,
+        )
 
         # the short repr has no trailing newline, while the truncated
         # repr does. So we include a newline in our template, and strip
diff --git a/pandas/core/arrays/boolean.py b/pandas/core/arrays/boolean.py
index 2dba557eda169..0034d1e7d23c8 100644
--- a/pandas/core/arrays/boolean.py
+++ b/pandas/core/arrays/boolean.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numbers
 from typing import (
@@ -22,11 +24,19 @@
     is_list_like,
     is_numeric_dtype,
 )
-from pandas.core.dtypes.dtypes import register_extension_dtype
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.dtypes import (
+    register_extension_dtype,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core import ops
-from pandas.core.array_algos import masked_accumulations
+from pandas.core import (
+    ops,
+)
+from pandas.core.array_algos import (
+    masked_accumulations,
+)
 from pandas.core.arrays.masked import (
     BaseMaskedArray,
     BaseMaskedDtype,
@@ -35,7 +45,9 @@
 if TYPE_CHECKING:
     import pyarrow
 
-    from pandas._typing import npt
+    from pandas._typing import (
+        npt,
+    )
 
 
 @register_extension_dtype
@@ -387,7 +399,9 @@ def _accumulate(
             data, mask = op(data, mask, skipna=skipna, **kwargs)
             return type(self)(data, mask, copy=False)
         else:
-            from pandas.core.arrays import IntegerArray
+            from pandas.core.arrays import (
+                IntegerArray,
+            )
 
             return IntegerArray(data.astype(int), mask)._accumulate(
                 name, skipna=skipna, **kwargs
diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index 02ee2eb4a80ce..27167b765a3cc 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -1,9 +1,17 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from csv import QUOTE_NONNUMERIC
-from functools import partial
+from csv import (
+    QUOTE_NONNUMERIC,
+)
+from functools import (
+    partial,
+)
 import operator
-from shutil import get_terminal_size
+from shutil import (
+    get_terminal_size,
+)
 from typing import (
     TYPE_CHECKING,
     Hashable,
@@ -17,14 +25,18 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._libs import (
     NaT,
     algos as libalgos,
     lib,
 )
-from pandas._libs.arrays import NDArrayBacked
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
 from pandas._typing import (
     ArrayLike,
     AstypeArg,
@@ -37,8 +49,12 @@
     npt,
     type_t,
 )
-from pandas.compat.numpy import function as nv
-from pandas.util._validators import validate_bool_kwarg
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.util._validators import (
+    validate_bool_kwarg,
+)
 
 from pandas.core.dtypes.cast import (
     coerce_indexer_dtype,
@@ -102,11 +118,19 @@
     extract_array,
     sanitize_array,
 )
-from pandas.core.ops.common import unpack_zerodim_and_defer
-from pandas.core.sorting import nargsort
-from pandas.core.strings.object_array import ObjectStringArrayMixin
+from pandas.core.ops.common import (
+    unpack_zerodim_and_defer,
+)
+from pandas.core.sorting import (
+    nargsort,
+)
+from pandas.core.strings.object_array import (
+    ObjectStringArrayMixin,
+)
 
-from pandas.io.formats import console
+from pandas.io.formats import (
+    console,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -1074,7 +1098,9 @@ def add_categories(self, new_categories) -> Categorical:
             )
 
         if hasattr(new_categories, "dtype"):
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             dtype = find_common_type(
                 [self.dtype.categories.dtype, new_categories.dtype]
@@ -1132,7 +1158,9 @@ def remove_categories(self, removals):
         [NaN, 'c', 'b', 'c', NaN]
         Categories (2, object): ['b', 'c']
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         if not is_list_like(removals):
             removals = [removals]
@@ -1744,7 +1772,9 @@ def _values_for_rank(self):
         numpy.array
 
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         if self.ordered:
             values = self.codes
@@ -1833,7 +1863,9 @@ def _repr_categories(self) -> list[str]:
             if get_option("display.max_categories") == 0
             else get_option("display.max_categories")
         )
-        from pandas.io.formats import format as fmt
+        from pandas.io.formats import (
+            format as fmt,
+        )
 
         format_array = partial(
             fmt.format_array, formatter=None, quoting=QUOTE_NONNUMERIC
@@ -1886,7 +1918,9 @@ def _repr_footer(self) -> str:
     def _get_repr(
         self, length: bool = True, na_rep: str = "NaN", footer: bool = True
     ) -> str:
-        from pandas.io.formats import format as fmt
+        from pandas.io.formats import (
+            format as fmt,
+        )
 
         formatter = fmt.CategoricalFormatter(
             self, length=length, na_rep=na_rep, footer=footer
@@ -1926,7 +1960,9 @@ def _validate_listlike(self, value):
             value = self._encode_with_my_categories(value)
             return value._codes
 
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         # tupleize_cols=False for e.g. test_fillna_iterable_category GH#41914
         to_add = Index._with_infer(value, tupleize_cols=False).difference(
@@ -2119,7 +2155,9 @@ def equals(self, other: object) -> bool:
     def _concat_same_type(
         cls: type[CategoricalT], to_concat: Sequence[CategoricalT], axis: AxisInt = 0
     ) -> CategoricalT:
-        from pandas.core.dtypes.concat import union_categoricals
+        from pandas.core.dtypes.concat import (
+            union_categoricals,
+        )
 
         first = to_concat[0]
         if axis >= first.ndim:
@@ -2191,8 +2229,12 @@ def describe(self) -> DataFrame:
         counts = self.value_counts(dropna=False)
         freqs = counts / counts.sum()
 
-        from pandas import Index
-        from pandas.core.reshape.concat import concat
+        from pandas import (
+            Index,
+        )
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         result = concat([counts, freqs], axis=1)
         result.columns = Index(["counts", "freqs"])
@@ -2254,7 +2296,9 @@ def isin(self, values) -> npt.NDArray[np.bool_]:
         return algorithms.isin(self.codes, code_values)
 
     def _replace(self, *, to_replace, value, inplace: bool = False):
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         inplace = validate_bool_kwarg(inplace, "inplace")
         cat = self if inplace else self.copy()
@@ -2297,7 +2341,9 @@ def _str_map(
         # Optimization to apply the callable `f` to the categories once
         # and rebuild the result by `take`ing from the result with the codes.
         # Returns the same type as the object-dtype implementation though.
-        from pandas.core.arrays import PandasArray
+        from pandas.core.arrays import (
+            PandasArray,
+        )
 
         categories = self.categories
         codes = self.codes
@@ -2306,7 +2352,9 @@ def _str_map(
 
     def _str_get_dummies(self, sep: str = "|"):
         # sep may not be in categories. Just bail on this.
-        from pandas.core.arrays import PandasArray
+        from pandas.core.arrays import (
+            PandasArray,
+        )
 
         return PandasArray(self.astype(str))._str_get_dummies(sep)
 
@@ -2460,12 +2508,16 @@ def codes(self) -> Series:
         """
         Return Series of codes as well as the index.
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         return Series(self._parent.codes, index=self._index)
 
     def _delegate_method(self, name, *args, **kwargs):
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         method = getattr(self._parent, name)
         res = method(*args, **kwargs)
@@ -2550,7 +2602,9 @@ def factorize_from_iterable(values) -> tuple[np.ndarray, Index]:
         If `values` has a categorical dtype, then `categories` is
         a CategoricalIndex keeping the categories and order of `values`.
     """
-    from pandas import CategoricalIndex
+    from pandas import (
+        CategoricalIndex,
+    )
 
     if not is_list_like(values):
         raise TypeError("Input must be list-like")
diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index 1e9b5641aa5e0..5532ba2051665 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -1,10 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
     timedelta,
 )
-from functools import wraps
+from functools import (
+    wraps,
+)
 import operator
 from typing import (
     TYPE_CHECKING,
@@ -27,7 +31,9 @@
     algos,
     lib,
 )
-from pandas._libs.arrays import NDArrayBacked
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
 from pandas._libs.tslibs import (
     BaseOffset,
     IncompatibleFrequency,
@@ -50,8 +56,12 @@
     RoundTo,
     round_nsint64,
 )
-from pandas._libs.tslibs.np_datetime import compare_mismatched_resolutions
-from pandas._libs.tslibs.timestamps import integer_op_not_supported
+from pandas._libs.tslibs.np_datetime import (
+    compare_mismatched_resolutions,
+)
+from pandas._libs.tslibs.timestamps import (
+    integer_op_not_supported,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -68,7 +78,9 @@
     TimeNonexistent,
     npt,
 )
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.errors import (
     AbstractMethodError,
     InvalidComparison,
@@ -79,7 +91,9 @@
     Substitution,
     cache_readonly,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_all_strings,
@@ -121,14 +135,22 @@
     isin,
     unique1d,
 )
-from pandas.core.array_algos import datetimelike_accumulations
-from pandas.core.arraylike import OpsMixin
+from pandas.core.array_algos import (
+    datetimelike_accumulations,
+)
+from pandas.core.arraylike import (
+    OpsMixin,
+)
 from pandas.core.arrays._mixins import (
     NDArrayBackedExtensionArray,
     ravel_compat,
 )
-from pandas.core.arrays.base import ExtensionArray
-from pandas.core.arrays.integer import IntegerArray
+from pandas.core.arrays.base import (
+    ExtensionArray,
+)
+from pandas.core.arrays.integer import (
+    IntegerArray,
+)
 import pandas.core.common as com
 from pandas.core.construction import (
     array as pd_array,
@@ -139,13 +161,17 @@
     check_array_indexer,
     check_setitem_lengths,
 )
-from pandas.core.ops.common import unpack_zerodim_and_defer
+from pandas.core.ops.common import (
+    unpack_zerodim_and_defer,
+)
 from pandas.core.ops.invalid import (
     invalid_comparison,
     make_invalid_op,
 )
 
-from pandas.tseries import frequencies
+from pandas.tseries import (
+    frequencies,
+)
 
 if TYPE_CHECKING:
     from pandas.core.arrays import (
@@ -756,7 +782,9 @@ def map(self, mapper):
         # If so, then we can refactor IndexOpsMixin._map_values to
         # a standalone function and call from here..
         # Else, just rewrite _map_infer_values to do the right thing.
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         return Index(self).map(mapper).array
 
@@ -1036,8 +1064,12 @@ def _add_datetimelike_scalar(self, other) -> DatetimeArray:
 
         self = cast("TimedeltaArray", self)
 
-        from pandas.core.arrays import DatetimeArray
-        from pandas.core.arrays.datetimes import tz_to_dtype
+        from pandas.core.arrays import (
+            DatetimeArray,
+        )
+        from pandas.core.arrays.datetimes import (
+            tz_to_dtype,
+        )
 
         assert other is not NaT
         if isna(other):
@@ -1107,7 +1139,9 @@ def _sub_datetime_arraylike(self, other: DatetimeArray):
     def _sub_datetimelike(self, other: Timestamp | DatetimeArray) -> TimedeltaArray:
         self = cast("DatetimeArray", self)
 
-        from pandas.core.arrays import TimedeltaArray
+        from pandas.core.arrays import (
+            TimedeltaArray,
+        )
 
         try:
             self._assert_tzawareness_compat(other)
@@ -1130,7 +1164,9 @@ def _add_period(self, other: Period) -> PeriodArray:
             raise TypeError(f"cannot add Period to a {type(self).__name__}")
 
         # We will wrap in a PeriodArray and defer to the reversed operation
-        from pandas.core.arrays.period import PeriodArray
+        from pandas.core.arrays.period import (
+            PeriodArray,
+        )
 
         i8vals = np.broadcast_to(other.ordinal, self.shape)
         parr = PeriodArray(i8vals, freq=other.freq)
@@ -1352,7 +1388,9 @@ def __add__(self, other):
             return NotImplemented
 
         if isinstance(result, np.ndarray) and is_timedelta64_dtype(result.dtype):
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             return TimedeltaArray(result)
         return result
@@ -1410,7 +1448,9 @@ def __sub__(self, other):
             return NotImplemented
 
         if isinstance(result, np.ndarray) and is_timedelta64_dtype(result.dtype):
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             return TimedeltaArray(result)
         return result
@@ -1426,7 +1466,9 @@ def __rsub__(self, other):
                 return Timestamp(other) - self
             if not isinstance(other, DatetimeLikeArrayMixin):
                 # Avoid down-casting DatetimeIndex
-                from pandas.core.arrays import DatetimeArray
+                from pandas.core.arrays import (
+                    DatetimeArray,
+                )
 
                 other = DatetimeArray(other)
             return other - self
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index 1624870705b8f..7771333633bfa 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -41,7 +43,9 @@
     tz_convert_from_utc,
     tzconversion,
 )
-from pandas._libs.tslibs.dtypes import abbrev_to_npy_unit
+from pandas._libs.tslibs.dtypes import (
+    abbrev_to_npy_unit,
+)
 from pandas._typing import (
     DateTimeErrorChoices,
     IntervalClosedType,
@@ -49,9 +53,15 @@
     TimeNonexistent,
     npt,
 )
-from pandas.errors import PerformanceWarning
-from pandas.util._exceptions import find_stack_level
-from pandas.util._validators import validate_inclusive
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
+from pandas.util._validators import (
+    validate_inclusive,
+)
 
 from pandas.core.dtypes.common import (
     DT64NS_DTYPE,
@@ -74,21 +84,33 @@
     DatetimeTZDtype,
     ExtensionDtype,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core.arrays import datetimelike as dtl
-from pandas.core.arrays._ranges import generate_regular_range
+from pandas.core.arrays import (
+    datetimelike as dtl,
+)
+from pandas.core.arrays._ranges import (
+    generate_regular_range,
+)
 import pandas.core.common as com
 
-from pandas.tseries.frequencies import get_period_alias
+from pandas.tseries.frequencies import (
+    get_period_alias,
+)
 from pandas.tseries.offsets import (
     Day,
     Tick,
 )
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
-    from pandas.core.arrays import PeriodArray
+    from pandas import (
+        DataFrame,
+    )
+    from pandas.core.arrays import (
+        PeriodArray,
+    )
 
 _midnight = time(0, 0)
 
@@ -706,7 +728,9 @@ def astype(self, dtype, copy: bool = True):
     def _format_native_types(
         self, *, na_rep: str | float = "NaT", date_format=None, **kwargs
     ) -> npt.NDArray[np.object_]:
-        from pandas.io.formats.format import get_format_datetime64_from_values
+        from pandas.io.formats.format import (
+            get_format_datetime64_from_values,
+        )
 
         fmt = get_format_datetime64_from_values(self, date_format)
 
@@ -1161,7 +1185,9 @@ def to_period(self, freq=None) -> PeriodArray:
         PeriodIndex(['2017-01-01', '2017-01-02'],
                     dtype='period[D]')
         """
-        from pandas.core.arrays import PeriodArray
+        from pandas.core.arrays import (
+            PeriodArray,
+        )
 
         if self.tz is not None:
             warnings.warn(
@@ -1378,7 +1404,9 @@ def isocalendar(self) -> DataFrame:
         2020-01-01     1
         Freq: D, Name: week, dtype: UInt32
         """
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         values = self._local_timestamps()
         sarray = fields.build_isocalendar_sarray(values, reso=self._creso)
@@ -1968,7 +1996,9 @@ def std(
         # Because std is translation-invariant, we can get self.std
         #  by calculating (self - Timestamp(0)).std, and we can do it
         #  without creating a copy by using a view on self._ndarray
-        from pandas.core.arrays import TimedeltaArray
+        from pandas.core.arrays import (
+            TimedeltaArray,
+        )
 
         # Find the td64 dtype with the same resolution as our dt64 dtype
         dtype_str = self._ndarray.dtype.name.replace("datetime64", "timedelta64")
diff --git a/pandas/core/arrays/floating.py b/pandas/core/arrays/floating.py
index e08e99f7eab94..cb4f4ceaea9fd 100644
--- a/pandas/core/arrays/floating.py
+++ b/pandas/core/arrays/floating.py
@@ -1,9 +1,15 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas.core.dtypes.base import register_extension_dtype
-from pandas.core.dtypes.common import is_float_dtype
+from pandas.core.dtypes.base import (
+    register_extension_dtype,
+)
+from pandas.core.dtypes.common import (
+    is_float_dtype,
+)
 
 from pandas.core.arrays.numeric import (
     NumericArray,
diff --git a/pandas/core/arrays/integer.py b/pandas/core/arrays/integer.py
index 3b35a2b4e47b6..002f505b6b87f 100644
--- a/pandas/core/arrays/integer.py
+++ b/pandas/core/arrays/integer.py
@@ -1,9 +1,15 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas.core.dtypes.base import register_extension_dtype
-from pandas.core.dtypes.common import is_integer_dtype
+from pandas.core.dtypes.base import (
+    register_extension_dtype,
+)
+from pandas.core.dtypes.common import (
+    is_integer_dtype,
+)
 
 from pandas.core.arrays.numeric import (
     NumericArray,
diff --git a/pandas/core/arrays/interval.py b/pandas/core/arrays/interval.py
index 2d63af5dc8624..0caa9b8b96c26 100644
--- a/pandas/core/arrays/interval.py
+++ b/pandas/core/arrays/interval.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 from operator import (
@@ -19,16 +21,22 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.interval import (
     VALID_CLOSED,
     Interval,
     IntervalMixin,
     intervals_to_interval_bounds,
 )
-from pandas._libs.missing import NA
+from pandas._libs.missing import (
+    NA,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -42,9 +50,15 @@
     TimeArrayLike,
     npt,
 )
-from pandas.compat.numpy import function as nv
-from pandas.errors import IntCastingNaNError
-from pandas.util._decorators import Appender
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.errors import (
+    IntCastingNaNError,
+)
+from pandas.util._decorators import (
+    Appender,
+)
 
 from pandas.core.dtypes.cast import (
     LossySetitemError,
@@ -63,7 +77,9 @@
     needs_i8_conversion,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import IntervalDtype
+from pandas.core.dtypes.dtypes import (
+    IntervalDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCDatetimeIndex,
@@ -86,15 +102,21 @@
     ExtensionArray,
     _extension_array_shared_docs,
 )
-from pandas.core.arrays.datetimes import DatetimeArray
-from pandas.core.arrays.timedeltas import TimedeltaArray
+from pandas.core.arrays.datetimes import (
+    DatetimeArray,
+)
+from pandas.core.arrays.timedeltas import (
+    TimedeltaArray,
+)
 import pandas.core.common as com
 from pandas.core.construction import (
     array as pd_array,
     ensure_wrapped_if_datetimelike,
     extract_array,
 )
-from pandas.core.indexers import check_array_indexer
+from pandas.core.indexers import (
+    check_array_indexer,
+)
 from pandas.core.ops import (
     invalid_comparison,
     unpack_zerodim_and_defer,
@@ -302,7 +324,9 @@ def _ensure_simple_new_inputs(
         dtype: Dtype | None = None,
     ) -> tuple[IntervalSideT, IntervalSideT, IntervalDtype]:
         """Ensure correctness of input parameters for cls._simple_new."""
-        from pandas.core.indexes.base import ensure_index
+        from pandas.core.indexes.base import (
+            ensure_index,
+        )
 
         left = ensure_index(left, copy=copy)
         left = maybe_upcast_numeric_to_64bit(left)
@@ -747,7 +771,9 @@ def _cmp_method(self, other, op):
             # non-interval scalar -> no matches
             if other is NA:
                 # GH#31882
-                from pandas.core.arrays import BooleanArray
+                from pandas.core.arrays import (
+                    BooleanArray,
+                )
 
                 arr = np.empty(self.shape, dtype=bool)
                 mask = np.ones(self.shape, dtype=bool)
@@ -953,7 +979,9 @@ def astype(self, dtype, copy: bool = True):
         array : ExtensionArray or ndarray
             ExtensionArray or NumPy ndarray with 'dtype' for its dtype.
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         if dtype is not None:
             dtype = pandas_dtype(dtype)
@@ -1061,7 +1089,9 @@ def shift(self, periods: int = 1, fill_value: object = None) -> IntervalArray:
 
         empty_len = min(abs(periods), len(self))
         if isna(fill_value):
-            from pandas import Index
+            from pandas import (
+                Index,
+            )
 
             fill_value = Index(self._left, copy=False)._na_value
             empty = IntervalArray.from_breaks([fill_value] * (empty_len + 1))
@@ -1281,7 +1311,9 @@ def left(self):
         """
         Return the left endpoints of each Interval in the IntervalArray as an Index.
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         return Index(self._left, copy=False)
 
@@ -1290,7 +1322,9 @@ def right(self):
         """
         Return the right endpoints of each Interval in the IntervalArray as an Index.
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         return Index(self._right, copy=False)
 
@@ -1503,7 +1537,9 @@ def __arrow_array__(self, type=None):
         """
         import pyarrow
 
-        from pandas.core.arrays.arrow.extension_types import ArrowIntervalType
+        from pandas.core.arrays.arrow.extension_types import (
+            ArrowIntervalType,
+        )
 
         try:
             subtype = pyarrow.from_numpy_dtype(self.dtype.subtype)
diff --git a/pandas/core/arrays/masked.py b/pandas/core/arrays/masked.py
index 9b9cb3e29810d..0e3279d03823f 100644
--- a/pandas/core/arrays/masked.py
+++ b/pandas/core/arrays/masked.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -34,11 +36,19 @@
     Shape,
     npt,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import doc
-from pandas.util._validators import validate_fillna_kwargs
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._validators import (
+    validate_fillna_kwargs,
+)
 
-from pandas.core.dtypes.base import ExtensionDtype
+from pandas.core.dtypes.base import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.common import (
     is_bool,
     is_bool_dtype,
@@ -52,8 +62,12 @@
     is_string_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import BaseMaskedDtype
-from pandas.core.dtypes.inference import is_array_like
+from pandas.core.dtypes.dtypes import (
+    BaseMaskedDtype,
+)
+from pandas.core.dtypes.inference import (
+    is_array_like,
+)
 from pandas.core.dtypes.missing import (
     array_equivalent,
     is_valid_na_for_dtype,
@@ -77,12 +91,24 @@
     masked_accumulations,
     masked_reductions,
 )
-from pandas.core.array_algos.quantile import quantile_with_mask
-from pandas.core.arraylike import OpsMixin
-from pandas.core.arrays import ExtensionArray
-from pandas.core.construction import ensure_wrapped_if_datetimelike
-from pandas.core.indexers import check_array_indexer
-from pandas.core.ops import invalid_comparison
+from pandas.core.array_algos.quantile import (
+    quantile_with_mask,
+)
+from pandas.core.arraylike import (
+    OpsMixin,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
+from pandas.core.indexers import (
+    check_array_indexer,
+)
+from pandas.core.ops import (
+    invalid_comparison,
+)
 
 if TYPE_CHECKING:
     from pandas import Series
@@ -92,7 +118,9 @@
         NumpyValueArrayLike,
     )
 
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 
 BaseMaskedArrayT = TypeVar("BaseMaskedArrayT", bound="BaseMaskedArray")
 
@@ -636,16 +664,22 @@ def _arith_method(self, other, op):
             # Try inferring masked dtype instead of casting to object
             inferred_dtype = lib.infer_dtype(other, skipna=True)
             if inferred_dtype == "integer":
-                from pandas.core.arrays import IntegerArray
+                from pandas.core.arrays import (
+                    IntegerArray,
+                )
 
                 other = IntegerArray._from_sequence(other)
             elif inferred_dtype in ["floating", "mixed-integer-float"]:
-                from pandas.core.arrays import FloatingArray
+                from pandas.core.arrays import (
+                    FloatingArray,
+                )
 
                 other = FloatingArray._from_sequence(other)
 
             elif inferred_dtype in ["boolean"]:
-                from pandas.core.arrays import BooleanArray
+                from pandas.core.arrays import (
+                    BooleanArray,
+                )
 
                 other = BooleanArray._from_sequence(other)
 
@@ -732,7 +766,9 @@ def _arith_method(self, other, op):
     _logical_method = _arith_method
 
     def _cmp_method(self, other, op) -> BooleanArray:
-        from pandas.core.arrays import BooleanArray
+        from pandas.core.arrays import (
+            BooleanArray,
+        )
 
         mask = None
 
@@ -788,12 +824,16 @@ def _maybe_mask_result(self, result, mask):
             )
 
         if is_float_dtype(result.dtype):
-            from pandas.core.arrays import FloatingArray
+            from pandas.core.arrays import (
+                FloatingArray,
+            )
 
             return FloatingArray(result, mask, copy=False)
 
         elif is_bool_dtype(result.dtype):
-            from pandas.core.arrays import BooleanArray
+            from pandas.core.arrays import (
+                BooleanArray,
+            )
 
             return BooleanArray(result, mask, copy=False)
 
@@ -803,7 +843,9 @@ def _maybe_mask_result(self, result, mask):
             and is_supported_unit(get_unit_from_dtype(result.dtype))
         ):
             # e.g. test_numeric_arr_mul_tdscalar_numexpr_path
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             if not isinstance(result, TimedeltaArray):
                 result = TimedeltaArray._simple_new(result, dtype=result.dtype)
@@ -812,7 +854,9 @@ def _maybe_mask_result(self, result, mask):
             return result
 
         elif is_integer_dtype(result.dtype):
-            from pandas.core.arrays import IntegerArray
+            from pandas.core.arrays import (
+                IntegerArray,
+            )
 
             return IntegerArray(result, mask, copy=False)
 
@@ -878,7 +922,9 @@ def take(
     # error: Return type "BooleanArray" of "isin" incompatible with return type
     # "ndarray" in supertype "ExtensionArray"
     def isin(self, values) -> BooleanArray:  # type: ignore[override]
-        from pandas.core.arrays import BooleanArray
+        from pandas.core.arrays import (
+            BooleanArray,
+        )
 
         # algorithms.isin will eventually convert values to an ndarray, so no extra
         # cost to doing it here first
@@ -995,7 +1041,9 @@ def value_counts(self, dropna: bool = True) -> Series:
             Index,
             Series,
         )
-        from pandas.arrays import IntegerArray
+        from pandas.arrays import (
+            IntegerArray,
+        )
 
         keys, value_counts = algos.value_counts_arraylike(
             self._data, dropna=True, mask=self._mask
diff --git a/pandas/core/arrays/numeric.py b/pandas/core/arrays/numeric.py
index 2d9a3ae63259d..b5af90b73d107 100644
--- a/pandas/core/arrays/numeric.py
+++ b/pandas/core/arrays/numeric.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numbers
 from typing import (
@@ -20,8 +22,12 @@
     DtypeObj,
     npt,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import cache_readonly
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -283,7 +289,9 @@ def _coerce_to_array(
     def _from_sequence_of_strings(
         cls: type[T], strings, *, dtype: Dtype | None = None, copy: bool = False
     ) -> T:
-        from pandas.core.tools.numeric import to_numeric
+        from pandas.core.tools.numeric import (
+            to_numeric,
+        )
 
         scalars = to_numeric(strings, errors="raise", use_nullable_dtypes=True)
         return cls._from_sequence(scalars, dtype=dtype, copy=copy)
diff --git a/pandas/core/arrays/numpy_.py b/pandas/core/arrays/numpy_.py
index 216dbede39a6a..9560d29f624ae 100644
--- a/pandas/core/arrays/numpy_.py
+++ b/pandas/core/arrays/numpy_.py
@@ -1,8 +1,12 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.tslibs import (
     get_unit_from_dtype,
     is_supported_unit,
@@ -14,26 +18,44 @@
     Scalar,
     npt,
 )
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 
-from pandas.core.dtypes.astype import astype_array
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
+from pandas.core.dtypes.cast import (
+    construct_1d_object_array_from_listlike,
+)
 from pandas.core.dtypes.common import (
     is_dtype_equal,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import PandasDtype
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.dtypes import (
+    PandasDtype,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 from pandas.core import (
     arraylike,
     nanops,
     ops,
 )
-from pandas.core.arraylike import OpsMixin
-from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
-from pandas.core.construction import ensure_wrapped_if_datetimelike
-from pandas.core.strings.object_array import ObjectStringArrayMixin
+from pandas.core.arraylike import (
+    OpsMixin,
+)
+from pandas.core.arrays._mixins import (
+    NDArrayBackedExtensionArray,
+)
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
+from pandas.core.strings.object_array import (
+    ObjectStringArrayMixin,
+)
 
 
 class PandasArray(
@@ -466,7 +488,9 @@ def _wrap_ndarray_result(self, result: np.ndarray):
         if result.dtype.kind == "m" and is_supported_unit(
             get_unit_from_dtype(result.dtype)
         ):
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             return TimedeltaArray._simple_new(result, dtype=result.dtype)
         return type(self)(result)
diff --git a/pandas/core/arrays/period.py b/pandas/core/arrays/period.py
index f9404fbf57382..f7b802cfb1fad 100644
--- a/pandas/core/arrays/period.py
+++ b/pandas/core/arrays/period.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import operator
 from typing import (
     TYPE_CHECKING,
@@ -18,7 +22,9 @@
     algos as libalgos,
     lib,
 )
-from pandas._libs.arrays import NDArrayBacked
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
 from pandas._libs.tslibs import (
     BaseOffset,
     NaT,
@@ -32,8 +38,12 @@
     period as libperiod,
     to_offset,
 )
-from pandas._libs.tslibs.dtypes import FreqGroup
-from pandas._libs.tslibs.fields import isleapyear_arr
+from pandas._libs.tslibs.dtypes import (
+    FreqGroup,
+)
+from pandas._libs.tslibs.fields import (
+    isleapyear_arr,
+)
 from pandas._libs.tslibs.offsets import (
     Tick,
     delta_to_tick,
@@ -66,17 +76,23 @@
     is_period_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCIndex,
     ABCPeriodIndex,
     ABCSeries,
     ABCTimedeltaArray,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 import pandas.core.algorithms as algos
-from pandas.core.arrays import datetimelike as dtl
+from pandas.core.arrays import (
+    datetimelike as dtl,
+)
 import pandas.core.common as com
 
 if TYPE_CHECKING:
@@ -89,7 +105,9 @@
         DatetimeArray,
         TimedeltaArray,
     )
-    from pandas.core.arrays.base import ExtensionArray
+    from pandas.core.arrays.base import (
+        ExtensionArray,
+    )
 
 
 BaseOffsetT = TypeVar("BaseOffsetT", bound=BaseOffset)
@@ -375,7 +393,9 @@ def __arrow_array__(self, type=None):
         """
         import pyarrow
 
-        from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
+        from pandas.core.arrays.arrow.extension_types import (
+            ArrowPeriodType,
+        )
 
         if type is not None:
             if pyarrow.types.is_integer(type):
@@ -494,7 +514,9 @@ def to_timestamp(self, freq=None, how: str = "start") -> DatetimeArray:
         -------
         DatetimeArray/Index
         """
-        from pandas.core.arrays import DatetimeArray
+        from pandas.core.arrays import (
+            DatetimeArray,
+        )
 
         how = libperiod.validate_end_alias(how)
 
diff --git a/pandas/core/arrays/sparse/__init__.py b/pandas/core/arrays/sparse/__init__.py
index 56dbc6df54fc9..4cc88c3d2204f 100644
--- a/pandas/core/arrays/sparse/__init__.py
+++ b/pandas/core/arrays/sparse/__init__.py
@@ -8,7 +8,9 @@
     SparseArray,
     make_sparse_index,
 )
-from pandas.core.arrays.sparse.dtype import SparseDtype
+from pandas.core.arrays.sparse.dtype import (
+    SparseDtype,
+)
 
 __all__ = [
     "BlockIndex",
diff --git a/pandas/core/arrays/sparse/accessor.py b/pandas/core/arrays/sparse/accessor.py
index 7980638deb438..9becfdc85f78c 100644
--- a/pandas/core/arrays/sparse/accessor.py
+++ b/pandas/core/arrays/sparse/accessor.py
@@ -1,20 +1,32 @@
 """Sparse accessor"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 import numpy as np
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
-from pandas.core.dtypes.cast import find_common_type
+from pandas.core.dtypes.cast import (
+    find_common_type,
+)
 
 from pandas.core.accessor import (
     PandasDelegate,
     delegate_names,
 )
-from pandas.core.arrays.sparse.array import SparseArray
-from pandas.core.arrays.sparse.dtype import SparseDtype
+from pandas.core.arrays.sparse.array import (
+    SparseArray,
+)
+from pandas.core.arrays.sparse.dtype import (
+    SparseDtype,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -99,8 +111,12 @@ def from_coo(cls, A, dense_index: bool = False) -> Series:
         1  0    3.0
         dtype: Sparse[float64, nan]
         """
-        from pandas import Series
-        from pandas.core.arrays.sparse.scipy_sparse import coo_to_sparse_series
+        from pandas import (
+            Series,
+        )
+        from pandas.core.arrays.sparse.scipy_sparse import (
+            coo_to_sparse_series,
+        )
 
         result = coo_to_sparse_series(A, dense_index=dense_index)
         result = Series(result.array, index=result.index, copy=False)
@@ -182,7 +198,9 @@ def to_coo(self, row_levels=(0,), column_levels=(1,), sort_labels: bool = False)
         >>> columns
         [('a', 0), ('a', 1), ('b', 0), ('b', 1)]
         """
-        from pandas.core.arrays.sparse.scipy_sparse import sparse_series_to_coo
+        from pandas.core.arrays.sparse.scipy_sparse import (
+            sparse_series_to_coo,
+        )
 
         A, rows, columns = sparse_series_to_coo(
             self._parent, row_levels, column_levels, sort_labels=sort_labels
@@ -213,7 +231,9 @@ def to_dense(self) -> Series:
         2    0
         dtype: int64
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         return Series(
             self._parent.array.to_dense(),
@@ -261,9 +281,13 @@ def from_spmatrix(cls, data, index=None, columns=None) -> DataFrame:
         1  0.0  1.0  0.0
         2  0.0  0.0  1.0
         """
-        from pandas._libs.sparse import IntIndex
+        from pandas._libs.sparse import (
+            IntIndex,
+        )
 
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         data = data.tocsc()
         index, columns = cls._prep_index(data, index, columns)
@@ -305,7 +329,9 @@ def to_dense(self) -> DataFrame:
         1  1
         2  0
         """
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         data = {k: v.array.to_dense() for k, v in self._parent.items()}
         return DataFrame(data, index=self._parent.index, columns=self._parent.columns)
@@ -331,7 +357,9 @@ def to_coo(self):
         and uint64 will result in a float64 dtype.
         """
         import_optional_dependency("scipy")
-        from scipy.sparse import coo_matrix
+        from scipy.sparse import (
+            coo_matrix,
+        )
 
         dtype = find_common_type(self._parent.dtypes.to_list())
         if isinstance(dtype, SparseDtype):
diff --git a/pandas/core/arrays/sparse/array.py b/pandas/core/arrays/sparse/array.py
index fcebd17ace2d3..1f7364612c83b 100644
--- a/pandas/core/arrays/sparse/array.py
+++ b/pandas/core/arrays/sparse/array.py
@@ -1,9 +1,13 @@
 """
 SparseArray data structure
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 import numbers
 import operator
 from typing import (
@@ -20,14 +24,18 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 import pandas._libs.sparse as splib
 from pandas._libs.sparse import (
     BlockIndex,
     IntIndex,
     SparseIndex,
 )
-from pandas._libs.tslibs import NaT
+from pandas._libs.tslibs import (
+    NaT,
+)
 from pandas._typing import (
     ArrayLike,
     AstypeArg,
@@ -41,15 +49,23 @@
     SequenceIndexer,
     npt,
 )
-from pandas.compat.numpy import function as nv
-from pandas.errors import PerformanceWarning
-from pandas.util._exceptions import find_stack_level
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 from pandas.util._validators import (
     validate_bool_kwarg,
     validate_insert_loc,
 )
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 from pandas.core.dtypes.cast import (
     construct_1d_arraylike_from_scalar,
     find_common_type,
@@ -83,10 +99,18 @@
     ops,
 )
 import pandas.core.algorithms as algos
-from pandas.core.arraylike import OpsMixin
-from pandas.core.arrays import ExtensionArray
-from pandas.core.arrays.sparse.dtype import SparseDtype
-from pandas.core.base import PandasObject
+from pandas.core.arraylike import (
+    OpsMixin,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
+from pandas.core.arrays.sparse.dtype import (
+    SparseDtype,
+)
+from pandas.core.base import (
+    PandasObject,
+)
 import pandas.core.common as com
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
@@ -97,21 +121,31 @@
     check_array_indexer,
     unpack_tuple_and_ellipses,
 )
-from pandas.core.missing import interpolate_2d
-from pandas.core.nanops import check_below_min_count
+from pandas.core.missing import (
+    interpolate_2d,
+)
+from pandas.core.nanops import (
+    check_below_min_count,
+)
 
-from pandas.io.formats import printing
+from pandas.io.formats import (
+    printing,
+)
 
 # See https://github.com/python/typing/issues/684
 if TYPE_CHECKING:
-    from enum import Enum
+    from enum import (
+        Enum,
+    )
 
     class ellipsis(Enum):
         Ellipsis = "..."
 
     Ellipsis = ellipsis.Ellipsis
 
-    from scipy.sparse import spmatrix
+    from scipy.sparse import (
+        spmatrix,
+    )
 
     from pandas._typing import (
         FillnaOptions,
@@ -120,7 +154,9 @@ class ellipsis(Enum):
 
     SparseIndexKind = Literal["integer", "block"]
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
 else:
     ellipsis = type(Ellipsis)
diff --git a/pandas/core/arrays/sparse/dtype.py b/pandas/core/arrays/sparse/dtype.py
index c7a44d3606fa6..8756096a47e80 100644
--- a/pandas/core/arrays/sparse/dtype.py
+++ b/pandas/core/arrays/sparse/dtype.py
@@ -1,5 +1,7 @@
 """Sparse Dtype"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import re
 from typing import (
@@ -15,10 +17,16 @@
     DtypeObj,
     type_t,
 )
-from pandas.errors import PerformanceWarning
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 from pandas.core.dtypes.base import (
     ExtensionDtype,
     register_extension_dtype,
@@ -36,7 +44,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.arrays.sparse.array import SparseArray
+    from pandas.core.arrays.sparse.array import (
+        SparseArray,
+    )
 
 
 @register_extension_dtype
@@ -216,7 +226,9 @@ def construct_array_type(cls) -> type_t[SparseArray]:
         -------
         type
         """
-        from pandas.core.arrays.sparse.array import SparseArray
+        from pandas.core.arrays.sparse.array import (
+            SparseArray,
+        )
 
         return SparseArray
 
diff --git a/pandas/core/arrays/sparse/scipy_sparse.py b/pandas/core/arrays/sparse/scipy_sparse.py
index 723449dfcd4a3..b33f7166003aa 100644
--- a/pandas/core/arrays/sparse/scipy_sparse.py
+++ b/pandas/core/arrays/sparse/scipy_sparse.py
@@ -3,7 +3,9 @@
 
 Currently only includes to_coo helpers.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -12,17 +14,27 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     IndexLabel,
     npt,
 )
 
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
-from pandas.core.algorithms import factorize
-from pandas.core.indexes.api import MultiIndex
-from pandas.core.series import Series
+from pandas.core.algorithms import (
+    factorize,
+)
+from pandas.core.indexes.api import (
+    MultiIndex,
+)
+from pandas.core.series import (
+    Series,
+)
 
 if TYPE_CHECKING:
     import scipy.sparse
@@ -192,7 +204,9 @@ def coo_to_sparse_series(
     ------
     TypeError if A is not a coo_matrix
     """
-    from pandas import SparseDtype
+    from pandas import (
+        SparseDtype,
+    )
 
     try:
         ser = Series(A.data, MultiIndex.from_arrays((A.row, A.col)))
diff --git a/pandas/core/arrays/string_.py b/pandas/core/arrays/string_.py
index 30b18bac7b73b..b98ef55bea3b0 100644
--- a/pandas/core/arrays/string_.py
+++ b/pandas/core/arrays/string_.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -7,13 +9,17 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._libs import (
     lib,
     missing as libmissing,
 )
-from pandas._libs.arrays import NDArrayBacked
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
 from pandas._typing import (
     AxisInt,
     Dtype,
@@ -21,9 +27,15 @@
     npt,
     type_t,
 )
-from pandas.compat import pa_version_under7p0
-from pandas.compat.numpy import function as nv
-from pandas.util._decorators import doc
+from pandas.compat import (
+    pa_version_under7p0,
+)
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas.core.dtypes.base import (
     ExtensionDtype,
@@ -40,19 +52,35 @@
     pandas_dtype,
 )
 
-from pandas.core import ops
-from pandas.core.array_algos import masked_reductions
+from pandas.core import (
+    ops,
+)
+from pandas.core.array_algos import (
+    masked_reductions,
+)
 from pandas.core.arrays import (
     ExtensionArray,
     FloatingArray,
     IntegerArray,
 )
-from pandas.core.arrays.floating import FloatingDtype
-from pandas.core.arrays.integer import IntegerDtype
-from pandas.core.arrays.numpy_ import PandasArray
-from pandas.core.construction import extract_array
-from pandas.core.indexers import check_array_indexer
-from pandas.core.missing import isna
+from pandas.core.arrays.floating import (
+    FloatingDtype,
+)
+from pandas.core.arrays.integer import (
+    IntegerDtype,
+)
+from pandas.core.arrays.numpy_ import (
+    PandasArray,
+)
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.indexers import (
+    check_array_indexer,
+)
+from pandas.core.missing import (
+    isna,
+)
 
 if TYPE_CHECKING:
     import pyarrow
@@ -62,7 +90,9 @@
         NumpyValueArrayLike,
     )
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
 
 @register_extension_dtype
@@ -177,7 +207,9 @@ def construct_array_type(  # type: ignore[override]
         -------
         type
         """
-        from pandas.core.arrays.string_arrow import ArrowStringArray
+        from pandas.core.arrays.string_arrow import (
+            ArrowStringArray,
+        )
 
         if self.storage == "python":
             return StringArray
@@ -191,7 +223,9 @@ def __from_arrow__(
         Construct StringArray from pyarrow Array/ChunkedArray.
         """
         if self.storage == "pyarrow":
-            from pandas.core.arrays.string_arrow import ArrowStringArray
+            from pandas.core.arrays.string_arrow import (
+                ArrowStringArray,
+            )
 
             return ArrowStringArray(array)
         else:
@@ -344,7 +378,9 @@ def _from_sequence(cls, scalars, *, dtype: Dtype | None = None, copy: bool = Fal
             dtype = pandas_dtype(dtype)
             assert isinstance(dtype, StringDtype) and dtype.storage == "python"
 
-        from pandas.core.arrays.masked import BaseMaskedArray
+        from pandas.core.arrays.masked import (
+            BaseMaskedArray,
+        )
 
         if isinstance(scalars, BaseMaskedArray):
             # avoid costly conversion to object dtype
@@ -490,7 +526,9 @@ def max(self, axis=None, skipna: bool = True, **kwargs) -> Scalar:
         return self._wrap_reduction_result(axis, result)
 
     def value_counts(self, dropna: bool = True) -> Series:
-        from pandas import value_counts
+        from pandas import (
+            value_counts,
+        )
 
         result = value_counts(self._ndarray, dropna=dropna).astype("Int64")
         result.index = result.index.astype(self.dtype)
@@ -517,7 +555,9 @@ def searchsorted(
         return super().searchsorted(value=value, side=side, sorter=sorter)
 
     def _cmp_method(self, other, op):
-        from pandas.arrays import BooleanArray
+        from pandas.arrays import (
+            BooleanArray,
+        )
 
         if isinstance(other, StringArray):
             other = other._ndarray
@@ -557,7 +597,9 @@ def _cmp_method(self, other, op):
     def _str_map(
         self, f, na_value=None, dtype: Dtype | None = None, convert: bool = True
     ):
-        from pandas.arrays import BooleanArray
+        from pandas.arrays import (
+            BooleanArray,
+        )
 
         if dtype is None:
             dtype = StringDtype(storage="python")
diff --git a/pandas/core/arrays/string_arrow.py b/pandas/core/arrays/string_arrow.py
index 4d2b39ec61fca..ccb8e1a7b2c2d 100644
--- a/pandas/core/arrays/string_arrow.py
+++ b/pandas/core/arrays/string_arrow.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import re
 from typing import (
@@ -17,7 +19,9 @@
     Scalar,
     npt,
 )
-from pandas.compat import pa_version_under7p0
+from pandas.compat import (
+    pa_version_under7p0,
+)
 
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -28,23 +32,37 @@
     is_string_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core.arrays.arrow import ArrowExtensionArray
-from pandas.core.arrays.boolean import BooleanDtype
-from pandas.core.arrays.integer import Int64Dtype
-from pandas.core.arrays.numeric import NumericDtype
+from pandas.core.arrays.arrow import (
+    ArrowExtensionArray,
+)
+from pandas.core.arrays.boolean import (
+    BooleanDtype,
+)
+from pandas.core.arrays.integer import (
+    Int64Dtype,
+)
+from pandas.core.arrays.numeric import (
+    NumericDtype,
+)
 from pandas.core.arrays.string_ import (
     BaseStringArray,
     StringDtype,
 )
-from pandas.core.strings.object_array import ObjectStringArrayMixin
+from pandas.core.strings.object_array import (
+    ObjectStringArrayMixin,
+)
 
 if not pa_version_under7p0:
     import pyarrow as pa
     import pyarrow.compute as pc
 
-    from pandas.core.arrays.arrow._arrow_utils import fallback_performancewarning
+    from pandas.core.arrays.arrow._arrow_utils import (
+        fallback_performancewarning,
+    )
 
 ArrowStringScalarOrNAT = Union[str, libmissing.NAType]
 
@@ -129,7 +147,9 @@ def __len__(self) -> int:
 
     @classmethod
     def _from_sequence(cls, scalars, dtype: Dtype | None = None, copy: bool = False):
-        from pandas.core.arrays.masked import BaseMaskedArray
+        from pandas.core.arrays.masked import (
+            BaseMaskedArray,
+        )
 
         _chk_pyarrow_available()
 
diff --git a/pandas/core/arrays/timedeltas.py b/pandas/core/arrays/timedeltas.py
index d38145295a4db..727d45d6808c8 100644
--- a/pandas/core/arrays/timedeltas.py
+++ b/pandas/core/arrays/timedeltas.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import operator
 from typing import (
     TYPE_CHECKING,
@@ -30,8 +34,12 @@
     periods_per_second,
     to_offset,
 )
-from pandas._libs.tslibs.conversion import precision_from_unit
-from pandas._libs.tslibs.fields import get_timedelta_field
+from pandas._libs.tslibs.conversion import (
+    precision_from_unit,
+)
+from pandas._libs.tslibs.fields import (
+    get_timedelta_field,
+)
 from pandas._libs.tslibs.timedeltas import (
     array_to_timedelta64,
     floordiv_object_array,
@@ -46,8 +54,12 @@
     NpDtype,
     npt,
 )
-from pandas.compat.numpy import function as nv
-from pandas.util._validators import validate_endpoints
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.util._validators import (
+    validate_endpoints,
+)
 
 from pandas.core.dtypes.common import (
     TD64NS_DTYPE,
@@ -61,18 +73,34 @@
     is_timedelta64_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core import nanops
-from pandas.core.array_algos import datetimelike_accumulations
-from pandas.core.arrays import datetimelike as dtl
-from pandas.core.arrays._ranges import generate_regular_range
+from pandas.core import (
+    nanops,
+)
+from pandas.core.array_algos import (
+    datetimelike_accumulations,
+)
+from pandas.core.arrays import (
+    datetimelike as dtl,
+)
+from pandas.core.arrays._ranges import (
+    generate_regular_range,
+)
 import pandas.core.common as com
-from pandas.core.ops import roperator
-from pandas.core.ops.common import unpack_zerodim_and_defer
+from pandas.core.ops import (
+    roperator,
+)
+from pandas.core.ops.common import (
+    unpack_zerodim_and_defer,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 def _field_accessor(name: str, alias: str, docstring: str):
@@ -435,14 +463,18 @@ def _accumulate(self, name: str, *, skipna: bool = True, **kwargs):
     # Rendering Methods
 
     def _formatter(self, boxed: bool = False):
-        from pandas.io.formats.format import get_format_timedelta64
+        from pandas.io.formats.format import (
+            get_format_timedelta64,
+        )
 
         return get_format_timedelta64(self, box=True)
 
     def _format_native_types(
         self, *, na_rep: str | float = "NaT", date_format=None, **kwargs
     ) -> npt.NDArray[np.object_]:
-        from pandas.io.formats.format import get_format_timedelta64
+        from pandas.io.formats.format import (
+            get_format_timedelta64,
+        )
 
         # Relies on TimeDelta._repr_base
         formatter = get_format_timedelta64(self._ndarray, na_rep)
@@ -810,7 +842,9 @@ def components(self) -> DataFrame:
         -------
         DataFrame
         """
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         columns = [
             "days",
diff --git a/pandas/core/base.py b/pandas/core/base.py
index 9f02e20b1605d..d78699fdc077f 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -2,7 +2,9 @@
 Base and utility classes for pandas objects.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import textwrap
 from typing import (
@@ -20,7 +22,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     Axis,
     AxisInt,
@@ -30,15 +34,23 @@
     Shape,
     npt,
 )
-from pandas.compat import PYPY
-from pandas.compat.numpy import function as nv
-from pandas.errors import AbstractMethodError
+from pandas.compat import (
+    PYPY,
+)
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.errors import (
+    AbstractMethodError,
+)
 from pandas.util._decorators import (
     cache_readonly,
     doc,
 )
 
-from pandas.core.dtypes.cast import can_hold_element
+from pandas.core.dtypes.cast import (
+    can_hold_element,
+)
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
     is_dict_like,
@@ -61,9 +73,15 @@
     nanops,
     ops,
 )
-from pandas.core.accessor import DirNamesMixin
-from pandas.core.arraylike import OpsMixin
-from pandas.core.arrays import ExtensionArray
+from pandas.core.accessor import (
+    DirNamesMixin,
+)
+from pandas.core.arraylike import (
+    OpsMixin,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
@@ -903,7 +921,9 @@ def _map_values(self, mapper, na_action=None):
                 # expected to be pd.Series(np.nan, ...). As np.nan is
                 # of dtype float64 the return value of this method should
                 # be float64 as well
-                from pandas import Series
+                from pandas import (
+                    Series,
+                )
 
                 if len(mapper) == 0:
                     mapper = Series(mapper, dtype=np.float64)
@@ -1129,7 +1149,9 @@ def is_monotonic_increasing(self) -> bool:
         -------
         bool
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         return Index(self).is_monotonic_increasing
 
@@ -1142,7 +1164,9 @@ def is_monotonic_decreasing(self) -> bool:
         -------
         bool
         """
-        from pandas import Index
+        from pandas import (
+            Index,
+        )
 
         return Index(self).is_monotonic_decreasing
 
@@ -1210,7 +1234,9 @@ def factorize(
             # preserve e.g. MultiIndex
             uniques = self._constructor(uniques)
         else:
-            from pandas import Index
+            from pandas import (
+                Index,
+            )
 
             uniques = Index(uniques)
         return codes, uniques
diff --git a/pandas/core/common.py b/pandas/core/common.py
index 073af11b719cc..bfd47ae3dcb60 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -3,7 +3,9 @@
 
 Note: pandas.core.common is *not* part of the public API.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import builtins
 from collections import (
@@ -11,7 +13,9 @@
     defaultdict,
 )
 import contextlib
-from functools import partial
+from functools import (
+    partial,
+)
 import inspect
 from typing import (
     TYPE_CHECKING,
@@ -29,7 +33,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     AnyArrayLike,
     ArrayLike,
@@ -38,7 +44,9 @@
     T,
 )
 
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.cast import (
+    construct_1d_object_array_from_listlike,
+)
 from pandas.core.dtypes.common import (
     is_array_like,
     is_bool_dtype,
@@ -50,11 +58,17 @@
     ABCIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.inference import iterable_not_string
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.inference import (
+    iterable_not_string,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 if TYPE_CHECKING:
-    from pandas import Index
+    from pandas import (
+        Index,
+    )
 
 
 def flatten(line):
diff --git a/pandas/core/computation/align.py b/pandas/core/computation/align.py
index fff605eb7cf59..47d48fa293202 100644
--- a/pandas/core/computation/align.py
+++ b/pandas/core/computation/align.py
@@ -1,7 +1,9 @@
 """
 Core eval alignment algorithms.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from functools import (
     partial,
@@ -16,23 +18,37 @@
 
 import numpy as np
 
-from pandas.errors import PerformanceWarning
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
 )
 
-from pandas.core.base import PandasObject
+from pandas.core.base import (
+    PandasObject,
+)
 import pandas.core.common as com
-from pandas.core.computation.common import result_type_many
+from pandas.core.computation.common import (
+    result_type_many,
+)
 
 if TYPE_CHECKING:
-    from pandas._typing import F
+    from pandas._typing import (
+        F,
+    )
 
-    from pandas.core.generic import NDFrame
-    from pandas.core.indexes.api import Index
+    from pandas.core.generic import (
+        NDFrame,
+    )
+    from pandas.core.indexes.api import (
+        Index,
+    )
 
 
 def _align_core_single_unary_op(
@@ -87,7 +103,9 @@ def _align_core(terms):
     term_index = [i for i, term in enumerate(terms) if hasattr(term.value, "axes")]
     term_dims = [terms[i].value.ndim for i in term_index]
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     ndims = Series(dict(zip(term_index, term_dims)))
 
diff --git a/pandas/core/computation/api.py b/pandas/core/computation/api.py
index bd3be5b3f8c42..a29469fa8885d 100644
--- a/pandas/core/computation/api.py
+++ b/pandas/core/computation/api.py
@@ -1,2 +1,4 @@
 __all__ = ["eval"]
-from pandas.core.computation.eval import eval
+from pandas.core.computation.eval import (
+    eval,
+)
diff --git a/pandas/core/computation/check.py b/pandas/core/computation/check.py
index 3221b158241f5..5f57cc2c70ddf 100644
--- a/pandas/core/computation/check.py
+++ b/pandas/core/computation/check.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 ne = import_optional_dependency("numexpr", errors="warn")
 NUMEXPR_INSTALLED = ne is not None
diff --git a/pandas/core/computation/common.py b/pandas/core/computation/common.py
index 115191829f044..47bc880eb6371 100644
--- a/pandas/core/computation/common.py
+++ b/pandas/core/computation/common.py
@@ -1,10 +1,16 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import reduce
+from functools import (
+    reduce,
+)
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 
 def ensure_decoded(s) -> str:
@@ -27,8 +33,12 @@ def result_type_many(*arrays_and_dtypes):
         # we have > NPY_MAXARGS terms in our expression
         return reduce(np.result_type, arrays_and_dtypes)
     except TypeError:
-        from pandas.core.dtypes.cast import find_common_type
-        from pandas.core.dtypes.common import is_extension_array_dtype
+        from pandas.core.dtypes.cast import (
+            find_common_type,
+        )
+        from pandas.core.dtypes.common import (
+            is_extension_array_dtype,
+        )
 
         arr_and_dtypes = list(arrays_and_dtypes)
         ea_dtypes, non_ea_dtypes = [], []
diff --git a/pandas/core/computation/engines.py b/pandas/core/computation/engines.py
index a3a05a9d75c6e..7bfdd8e72c157 100644
--- a/pandas/core/computation/engines.py
+++ b/pandas/core/computation/engines.py
@@ -1,12 +1,18 @@
 """
 Engine classes for :func:`~pandas.eval`
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import abc
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
-from pandas.errors import NumExprClobberingError
+from pandas.errors import (
+    NumExprClobberingError,
+)
 
 from pandas.core.computation.align import (
     align_terms,
@@ -17,10 +23,14 @@
     REDUCTIONS,
 )
 
-from pandas.io.formats import printing
+from pandas.io.formats import (
+    printing,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.computation.expr import Expr
+    from pandas.core.computation.expr import (
+        Expr,
+    )
 
 _ne_builtins = frozenset(MATHOPS + REDUCTIONS)
 
diff --git a/pandas/core/computation/eval.py b/pandas/core/computation/eval.py
index d19730a321b36..9319802c3a3cc 100644
--- a/pandas/core/computation/eval.py
+++ b/pandas/core/computation/eval.py
@@ -1,30 +1,52 @@
 """
 Top level ``eval`` module.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import tokenize
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 import warnings
 
-from pandas.util._exceptions import find_stack_level
-from pandas.util._validators import validate_bool_kwarg
+from pandas.util._exceptions import (
+    find_stack_level,
+)
+from pandas.util._validators import (
+    validate_bool_kwarg,
+)
 
-from pandas.core.dtypes.common import is_extension_array_dtype
+from pandas.core.dtypes.common import (
+    is_extension_array_dtype,
+)
 
-from pandas.core.computation.engines import ENGINES
+from pandas.core.computation.engines import (
+    ENGINES,
+)
 from pandas.core.computation.expr import (
     PARSERS,
     Expr,
 )
-from pandas.core.computation.parsing import tokenize_string
-from pandas.core.computation.scope import ensure_scope
-from pandas.core.generic import NDFrame
+from pandas.core.computation.parsing import (
+    tokenize_string,
+)
+from pandas.core.computation.scope import (
+    ensure_scope,
+)
+from pandas.core.generic import (
+    NDFrame,
+)
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.computation.ops import BinOp
+    from pandas.core.computation.ops import (
+        BinOp,
+    )
 
 
 def _check_engine(engine: str | None) -> str:
@@ -48,8 +70,12 @@ def _check_engine(engine: str | None) -> str:
     str
         Engine name.
     """
-    from pandas.core.computation.check import NUMEXPR_INSTALLED
-    from pandas.core.computation.expressions import USE_NUMEXPR
+    from pandas.core.computation.check import (
+        NUMEXPR_INSTALLED,
+    )
+    from pandas.core.computation.expressions import (
+        USE_NUMEXPR,
+    )
 
     if engine is None:
         engine = "numexpr" if USE_NUMEXPR else "python"
diff --git a/pandas/core/computation/expr.py b/pandas/core/computation/expr.py
index 75e8b30d2e1f5..4c86483d20ecf 100644
--- a/pandas/core/computation/expr.py
+++ b/pandas/core/computation/expr.py
@@ -1,14 +1,18 @@
 """
 :func:`~pandas.eval` parsers.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import ast
 from functools import (
     partial,
     reduce,
 )
-from keyword import iskeyword
+from keyword import (
+    iskeyword,
+)
 import tokenize
 from typing import (
     Callable,
@@ -17,8 +21,12 @@
 
 import numpy as np
 
-from pandas.compat import PY39
-from pandas.errors import UndefinedVariableError
+from pandas.compat import (
+    PY39,
+)
+from pandas.errors import (
+    UndefinedVariableError,
+)
 
 import pandas.core.common as com
 from pandas.core.computation.ops import (
@@ -42,9 +50,13 @@
     clean_backtick_quoted_toks,
     tokenize_string,
 )
-from pandas.core.computation.scope import Scope
+from pandas.core.computation.scope import (
+    Scope,
+)
 
-from pandas.io.formats import printing
+from pandas.io.formats import (
+    printing,
+)
 
 
 def _rewrite_assign(tok: tuple[int, str]) -> tuple[int, str]:
@@ -571,7 +583,9 @@ def visit_Index(self, node, **kwargs):
         return self.visit(node.value)
 
     def visit_Subscript(self, node, **kwargs):
-        from pandas import eval as pd_eval
+        from pandas import (
+            eval as pd_eval,
+        )
 
         value = self.visit(node.value)
         slobj = self.visit(node.slice)
diff --git a/pandas/core/computation/expressions.py b/pandas/core/computation/expressions.py
index 2b34258982ab1..d355ce4d485d3 100644
--- a/pandas/core/computation/expressions.py
+++ b/pandas/core/computation/expressions.py
@@ -5,20 +5,32 @@
 Offer fast expression evaluation through numexpr
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 import warnings
 
 import numpy as np
 
-from pandas._config import get_option
-
-from pandas._typing import FuncType
-from pandas.util._exceptions import find_stack_level
-
-from pandas.core.computation.check import NUMEXPR_INSTALLED
-from pandas.core.ops import roperator
+from pandas._config import (
+    get_option,
+)
+
+from pandas._typing import (
+    FuncType,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
+
+from pandas.core.computation.check import (
+    NUMEXPR_INSTALLED,
+)
+from pandas.core.ops import (
+    roperator,
+)
 
 if NUMEXPR_INSTALLED:
     import numexpr as ne
diff --git a/pandas/core/computation/ops.py b/pandas/core/computation/ops.py
index 0538cc7b8d4ed..d56fb54b1650a 100644
--- a/pandas/core/computation/ops.py
+++ b/pandas/core/computation/ops.py
@@ -2,10 +2,16 @@
 Operator classes for eval.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
-from functools import partial
+from datetime import (
+    datetime,
+)
+from functools import (
+    partial,
+)
 import operator
 from typing import (
     Callable,
@@ -16,7 +22,9 @@
 
 import numpy as np
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 
 from pandas.core.dtypes.common import (
     is_list_like,
@@ -28,7 +36,9 @@
     ensure_decoded,
     result_type_many,
 )
-from pandas.core.computation.scope import DEFAULT_GLOBALS
+from pandas.core.computation.scope import (
+    DEFAULT_GLOBALS,
+)
 
 from pandas.io.formats.printing import (
     pprint_thing,
@@ -449,7 +459,9 @@ def evaluate(self, env, engine: str, parser, term_type, eval_in_python):
             if self.op in eval_in_python:
                 res = self.func(left.value, right.value)
             else:
-                from pandas.core.computation.eval import eval
+                from pandas.core.computation.eval import (
+                    eval,
+                )
 
                 res = eval(self, local_dict=env, engine=engine, parser=parser)
 
diff --git a/pandas/core/computation/parsing.py b/pandas/core/computation/parsing.py
index 4020ec7b5e9eb..221ee8ae671a2 100644
--- a/pandas/core/computation/parsing.py
+++ b/pandas/core/computation/parsing.py
@@ -1,10 +1,16 @@
 """
 :func:`~pandas.eval` source string parsing functions
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from io import StringIO
-from keyword import iskeyword
+from io import (
+    StringIO,
+)
+from keyword import (
+    iskeyword,
+)
 import token
 import tokenize
 from typing import (
diff --git a/pandas/core/computation/pytables.py b/pandas/core/computation/pytables.py
index 5c8602c0291da..bd0390643db37 100644
--- a/pandas/core/computation/pytables.py
+++ b/pandas/core/computation/pytables.py
@@ -1,9 +1,15 @@
 """ manage PyTables query interface via Expressions """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import ast
-from functools import partial
-from typing import Any
+from functools import (
+    partial,
+)
+from typing import (
+    Any,
+)
 
 import numpy as np
 
@@ -11,10 +17,16 @@
     Timedelta,
     Timestamp,
 )
-from pandas._typing import npt
-from pandas.errors import UndefinedVariableError
+from pandas._typing import (
+    npt,
+)
+from pandas.errors import (
+    UndefinedVariableError,
+)
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
 import pandas.core.common as com
 from pandas.core.computation import (
@@ -22,11 +34,21 @@
     ops,
     scope as _scope,
 )
-from pandas.core.computation.common import ensure_decoded
-from pandas.core.computation.expr import BaseExprVisitor
-from pandas.core.computation.ops import is_term
-from pandas.core.construction import extract_array
-from pandas.core.indexes.base import Index
+from pandas.core.computation.common import (
+    ensure_decoded,
+)
+from pandas.core.computation.expr import (
+    BaseExprVisitor,
+)
+from pandas.core.computation.ops import (
+    is_term,
+)
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.indexes.base import (
+    Index,
+)
 
 from pandas.io.formats.printing import (
     pprint_thing,
diff --git a/pandas/core/computation/scope.py b/pandas/core/computation/scope.py
index 0b9ba84cae511..000e5cc13fe1f 100644
--- a/pandas/core/computation/scope.py
+++ b/pandas/core/computation/scope.py
@@ -1,11 +1,15 @@
 """
 Module for scope operations
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import datetime
 import inspect
-from io import StringIO
+from io import (
+    StringIO,
+)
 import itertools
 import pprint
 import struct
@@ -17,8 +21,12 @@
 
 import numpy as np
 
-from pandas._libs.tslibs import Timestamp
-from pandas.errors import UndefinedVariableError
+from pandas._libs.tslibs import (
+    Timestamp,
+)
+from pandas.errors import (
+    UndefinedVariableError,
+)
 
 _KT = TypeVar("_KT")
 _VT = TypeVar("_VT")
diff --git a/pandas/core/config_init.py b/pandas/core/config_init.py
index dd751075647d8..98f12249e35a8 100644
--- a/pandas/core/config_init.py
+++ b/pandas/core/config_init.py
@@ -9,10 +9,14 @@
 module is imported, register them here rather than in the module.
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import os
-from typing import Callable
+from typing import (
+    Callable,
+)
 
 import pandas._config.config as cf
 from pandas._config.config import (
@@ -37,7 +41,9 @@
 
 
 def use_bottleneck_cb(key) -> None:
-    from pandas.core import nanops
+    from pandas.core import (
+        nanops,
+    )
 
     nanops.set_use_bottleneck(cf.get_option(key))
 
@@ -51,7 +57,9 @@ def use_bottleneck_cb(key) -> None:
 
 
 def use_numexpr_cb(key) -> None:
-    from pandas.core.computation import expressions
+    from pandas.core.computation import (
+        expressions,
+    )
 
     expressions.set_use_numexpr(cf.get_option(key))
 
@@ -65,7 +73,9 @@ def use_numexpr_cb(key) -> None:
 
 
 def use_numba_cb(key) -> None:
-    from pandas.core.util import numba_
+    from pandas.core.util import (
+        numba_,
+    )
 
     numba_.set_use_numba(cf.get_option(key))
 
@@ -287,7 +297,9 @@ def use_numba_cb(key) -> None:
 
 
 def table_schema_cb(key) -> None:
-    from pandas.io.formats.printing import enable_data_resource_formatter
+    from pandas.io.formats.printing import (
+        enable_data_resource_formatter,
+    )
 
     enable_data_resource_formatter(cf.get_option(key))
 
@@ -418,7 +430,9 @@ def is_terminal() -> bool:
 
 
 def use_inf_as_na_cb(key) -> None:
-    from pandas.core.dtypes.missing import _use_inf_as_na
+    from pandas.core.dtypes.missing import (
+        _use_inf_as_na,
+    )
 
     _use_inf_as_na(key)
 
@@ -666,7 +680,9 @@ def register_plotting_backend_cb(key) -> None:
     if key == "matplotlib":
         # We defer matplotlib validation, since it's the default
         return
-    from pandas.plotting._core import _get_plot_backend
+    from pandas.plotting._core import (
+        _get_plot_backend,
+    )
 
     _get_plot_backend(key)
 
diff --git a/pandas/core/construction.py b/pandas/core/construction.py
index 8c5f291742b9b..c6f6a3e8a4f66 100644
--- a/pandas/core/construction.py
+++ b/pandas/core/construction.py
@@ -4,7 +4,9 @@
 
 These should not depend on core.internals.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -16,10 +18,16 @@
 )
 
 import numpy as np
-from numpy import ma
+from numpy import (
+    ma,
+)
 
-from pandas._libs import lib
-from pandas._libs.tslibs.period import Period
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.tslibs.period import (
+    Period,
+)
 from pandas._typing import (
     AnyArrayLike,
     ArrayLike,
@@ -50,7 +58,9 @@
     is_object_dtype,
     is_timedelta64_ns_dtype,
 )
-from pandas.core.dtypes.dtypes import PandasDtype
+from pandas.core.dtypes.dtypes import (
+    PandasDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCExtensionArray,
@@ -59,7 +69,9 @@
     ABCRangeIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 import pandas.core.common as com
 
@@ -68,7 +80,9 @@
         Index,
         Series,
     )
-    from pandas.core.arrays.base import ExtensionArray
+    from pandas.core.arrays.base import (
+        ExtensionArray,
+    )
 
 
 def array(
@@ -298,7 +312,9 @@ def array(
         PeriodArray,
         TimedeltaArray,
     )
-    from pandas.core.arrays.string_ import StringDtype
+    from pandas.core.arrays.string_ import (
+        StringDtype,
+    )
 
     if lib.is_scalar(data):
         msg = f"Cannot pass scalar '{data}' to 'pandas.array'."
@@ -461,12 +477,16 @@ def ensure_wrapped_if_datetimelike(arr):
     """
     if isinstance(arr, np.ndarray):
         if arr.dtype.kind == "M":
-            from pandas.core.arrays import DatetimeArray
+            from pandas.core.arrays import (
+                DatetimeArray,
+            )
 
             return DatetimeArray._from_sequence(arr)
 
         elif arr.dtype.kind == "m":
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             return TimedeltaArray._from_sequence(arr)
 
diff --git a/pandas/core/dtypes/astype.py b/pandas/core/dtypes/astype.py
index 7ae5993c857e2..6cb3eebc89ce6 100644
--- a/pandas/core/dtypes/astype.py
+++ b/pandas/core/dtypes/astype.py
@@ -2,7 +2,9 @@
 Functions for implementing 'astype' methods according to pandas conventions,
 particularly ones that differ from numpy.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import inspect
 from typing import (
@@ -13,14 +15,20 @@
 
 import numpy as np
 
-from pandas._libs import lib
-from pandas._libs.tslibs.timedeltas import array_to_timedelta64
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.tslibs.timedeltas import (
+    array_to_timedelta64,
+)
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
     IgnoreRaise,
 )
-from pandas.errors import IntCastingNaNError
+from pandas.errors import (
+    IntCastingNaNError,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64_dtype,
@@ -37,7 +45,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.arrays import ExtensionArray
+    from pandas.core.arrays import (
+        ExtensionArray,
+    )
 
 
 _dtype_obj = np.dtype(object)
@@ -87,7 +97,9 @@ def _astype_nansafe(
         raise ValueError("dtype must be np.dtype or ExtensionDtype")
 
     if arr.dtype.kind in ["m", "M"]:
-        from pandas.core.construction import ensure_wrapped_if_datetimelike
+        from pandas.core.construction import (
+            ensure_wrapped_if_datetimelike,
+        )
 
         arr = ensure_wrapped_if_datetimelike(arr)
         res = arr.astype(dtype, copy=copy)
@@ -109,14 +121,18 @@ def _astype_nansafe(
         # then coerce to datetime64[ns] and use DatetimeArray.astype
 
         if is_datetime64_dtype(dtype):
-            from pandas import to_datetime
+            from pandas import (
+                to_datetime,
+            )
 
             dti = to_datetime(arr.ravel())
             dta = dti._data.reshape(arr.shape)
             return dta.astype(dtype, copy=False)._ndarray
 
         elif is_timedelta64_dtype(dtype):
-            from pandas.core.construction import ensure_wrapped_if_datetimelike
+            from pandas.core.construction import (
+                ensure_wrapped_if_datetimelike,
+            )
 
             # bc we know arr.dtype == object, this is equivalent to
             #  `np.asarray(to_timedelta(arr))`, but using a lower-level API that
diff --git a/pandas/core/dtypes/base.py b/pandas/core/dtypes/base.py
index 65a47452b1fe8..72cfef7689b2d 100644
--- a/pandas/core/dtypes/base.py
+++ b/pandas/core/dtypes/base.py
@@ -1,7 +1,9 @@
 """
 Extend pandas with custom array types.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -13,15 +15,21 @@
 
 import numpy as np
 
-from pandas._libs import missing as libmissing
-from pandas._libs.hashtable import object_hash
+from pandas._libs import (
+    missing as libmissing,
+)
+from pandas._libs.hashtable import (
+    object_hash,
+)
 from pandas._typing import (
     DtypeObj,
     Shape,
     npt,
     type_t,
 )
-from pandas.errors import AbstractMethodError
+from pandas.errors import (
+    AbstractMethodError,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
@@ -30,7 +38,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.arrays import ExtensionArray
+    from pandas.core.arrays import (
+        ExtensionArray,
+    )
 
     # To parameterize on same ExtensionDtype
     ExtensionDtypeT = TypeVar("ExtensionDtypeT", bound="ExtensionDtype")
diff --git a/pandas/core/dtypes/cast.py b/pandas/core/dtypes/cast.py
index 5877c60df41fd..34a7b819db760 100644
--- a/pandas/core/dtypes/cast.py
+++ b/pandas/core/dtypes/cast.py
@@ -2,7 +2,9 @@
 Routines for casting.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import datetime as dt
 import functools
@@ -19,7 +21,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.missing import (
     NA,
     NAType,
@@ -34,7 +38,9 @@
     get_unit_from_dtype,
     is_supported_unit,
 )
-from pandas._libs.tslibs.timedeltas import array_to_timedelta64
+from pandas._libs.tslibs.timedeltas import (
+    array_to_timedelta64,
+)
 from pandas._typing import (
     ArrayLike,
     Dtype,
@@ -90,7 +96,9 @@
     ABCIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.inference import is_list_like
+from pandas.core.dtypes.inference import (
+    is_list_like,
+)
 from pandas.core.dtypes.missing import (
     is_valid_na_for_dtype,
     isna,
@@ -99,7 +107,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas import Index
+    from pandas import (
+        Index,
+    )
     from pandas.core.arrays import (
         Categorical,
         DatetimeArray,
@@ -509,7 +519,9 @@ def maybe_cast_to_extension_array(
     -------
     ExtensionArray or obj
     """
-    from pandas.core.arrays.string_ import BaseStringArray
+    from pandas.core.arrays.string_ import (
+        BaseStringArray,
+    )
 
     assert isinstance(cls, type), f"must pass a type: {cls}"
     assertion_msg = f"must pass a subclass of ExtensionArray: {cls}"
@@ -637,7 +649,9 @@ def _maybe_promote(dtype: np.dtype, fill_value=np.nan):
         if inferred == dtype:
             return dtype, fv
 
-        from pandas.core.arrays import DatetimeArray
+        from pandas.core.arrays import (
+            DatetimeArray,
+        )
 
         dta = DatetimeArray._from_sequence([], dtype="M8[ns]")
         try:
@@ -1039,7 +1053,9 @@ def convert_dtypes(
             target_int_dtype = pandas_dtype_func("Int64")
 
             if is_integer_dtype(input_array.dtype):
-                from pandas.core.arrays.integer import INT_STR_TO_DTYPE
+                from pandas.core.arrays.integer import (
+                    INT_STR_TO_DTYPE,
+                )
 
                 inferred_dtype = INT_STR_TO_DTYPE.get(
                     input_array.dtype.name, target_int_dtype
@@ -1062,7 +1078,9 @@ def convert_dtypes(
             if not is_integer_dtype(input_array.dtype) and is_numeric_dtype(
                 input_array.dtype
             ):
-                from pandas.core.arrays.floating import FLOAT_STR_TO_DTYPE
+                from pandas.core.arrays.floating import (
+                    FLOAT_STR_TO_DTYPE,
+                )
 
                 inferred_float_dtype: DtypeObj = FLOAT_STR_TO_DTYPE.get(
                     input_array.dtype.name, pandas_dtype_func("Float64")
@@ -1102,9 +1120,15 @@ def convert_dtypes(
         inferred_dtype = input_array.dtype
 
     if dtype_backend == "pyarrow":
-        from pandas.core.arrays.arrow.array import to_pyarrow_type
-        from pandas.core.arrays.arrow.dtype import ArrowDtype
-        from pandas.core.arrays.string_ import StringDtype
+        from pandas.core.arrays.arrow.array import (
+            to_pyarrow_type,
+        )
+        from pandas.core.arrays.arrow.dtype import (
+            ArrowDtype,
+        )
+        from pandas.core.arrays.string_ import (
+            StringDtype,
+        )
 
         if isinstance(inferred_dtype, PandasExtensionDtype):
             base_dtype = inferred_dtype.base
@@ -1182,8 +1206,12 @@ def maybe_cast_to_datetime(
     Caller is responsible for handling ExtensionDtype cases and non dt64/td64
     cases.
     """
-    from pandas.core.arrays.datetimes import DatetimeArray
-    from pandas.core.arrays.timedeltas import TimedeltaArray
+    from pandas.core.arrays.datetimes import (
+        DatetimeArray,
+    )
+    from pandas.core.arrays.timedeltas import (
+        TimedeltaArray,
+    )
 
     assert dtype.kind in ["m", "M"]
     if not is_list_like(value):
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index 874b567f65937..042054cfdc6d5 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -1,7 +1,9 @@
 """
 Common type operations.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
@@ -16,13 +18,17 @@
     algos,
     lib,
 )
-from pandas._libs.tslibs import conversion
+from pandas._libs.tslibs import (
+    conversion,
+)
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
 )
 
-from pandas.core.dtypes.base import _registry as registry
+from pandas.core.dtypes.base import (
+    _registry as registry,
+)
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
     DatetimeTZDtype,
@@ -30,7 +36,9 @@
     IntervalDtype,
     PeriodDtype,
 )
-from pandas.core.dtypes.generic import ABCIndex
+from pandas.core.dtypes.generic import (
+    ABCIndex,
+)
 from pandas.core.dtypes.inference import (
     is_array_like,
     is_bool,
@@ -228,7 +236,9 @@ def is_sparse(arr) -> bool:
 
     Returns `False` if the parameter has more than one dimension.
     """
-    from pandas.core.arrays.sparse import SparseDtype
+    from pandas.core.arrays.sparse import (
+        SparseDtype,
+    )
 
     dtype = getattr(arr, "dtype", arr)
     return isinstance(dtype, SparseDtype)
@@ -264,7 +274,9 @@ def is_scipy_sparse(arr) -> bool:
 
     if _is_scipy_sparse is None:  # pylint: disable=used-before-assignment
         try:
-            from scipy.sparse import issparse as _is_scipy_sparse
+            from scipy.sparse import (
+                issparse as _is_scipy_sparse,
+            )
         except ImportError:
             _is_scipy_sparse = lambda _: False
 
diff --git a/pandas/core/dtypes/concat.py b/pandas/core/dtypes/concat.py
index 28bc849088d5f..0e7a68a7b82fb 100644
--- a/pandas/core/dtypes/concat.py
+++ b/pandas/core/dtypes/concat.py
@@ -1,20 +1,30 @@
 """
 Utility functions related to concat.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 import numpy as np
 
-from pandas._typing import AxisInt
+from pandas._typing import (
+    AxisInt,
+)
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 from pandas.core.dtypes.cast import (
     common_dtype_categorical_compat,
     find_common_type,
 )
-from pandas.core.dtypes.common import is_dtype_equal
+from pandas.core.dtypes.common import (
+    is_dtype_equal,
+)
 from pandas.core.dtypes.dtypes import (
     DatetimeTZDtype,
     ExtensionDtype,
@@ -26,7 +36,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.arrays import Categorical
+    from pandas.core.arrays import (
+        Categorical,
+    )
 
 
 def concat_compat(to_concat, axis: AxisInt = 0, ea_compat_axis: bool = False):
@@ -217,8 +229,12 @@ def union_categoricals(
     ['b', 'c', 'a', 'b']
     Categories (3, object): ['b', 'c', 'a']
     """
-    from pandas import Categorical
-    from pandas.core.arrays.categorical import recode_for_categories
+    from pandas import (
+        Categorical,
+    )
+    from pandas.core.arrays.categorical import (
+        recode_for_categories,
+    )
 
     if len(to_union) == 0:
         raise ValueError("No Categoricals to union")
@@ -256,7 +272,9 @@ def _maybe_unwrap(x):
             categories = categories.sort_values()
             indexer = categories.get_indexer(first.categories)
 
-            from pandas.core.algorithms import take_nd
+            from pandas.core.algorithms import (
+                take_nd,
+            )
 
             new_codes = take_nd(indexer, new_codes, fill_value=-1)
     elif ignore_order or all(not c.ordered for c in to_union):
@@ -304,7 +322,9 @@ def _concat_datetime(to_concat, axis: AxisInt = 0):
     -------
     a single array, preserving the combined dtypes
     """
-    from pandas.core.construction import ensure_wrapped_if_datetimelike
+    from pandas.core.construction import (
+        ensure_wrapped_if_datetimelike,
+    )
 
     to_concat = [ensure_wrapped_if_datetimelike(x) for x in to_concat]
 
diff --git a/pandas/core/dtypes/dtypes.py b/pandas/core/dtypes/dtypes.py
index 2909b24840831..3c29db74136a3 100644
--- a/pandas/core/dtypes/dtypes.py
+++ b/pandas/core/dtypes/dtypes.py
@@ -1,7 +1,9 @@
 """
 Define extension dtypes.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import re
 from typing import (
@@ -14,9 +16,15 @@
 import numpy as np
 import pytz
 
-from pandas._libs import missing as libmissing
-from pandas._libs.interval import Interval
-from pandas._libs.properties import cache_readonly
+from pandas._libs import (
+    missing as libmissing,
+)
+from pandas._libs.interval import (
+    Interval,
+)
+from pandas._libs.properties import (
+    cache_readonly,
+)
 from pandas._libs.tslibs import (
     BaseOffset,
     NaT,
@@ -53,7 +61,9 @@
 )
 
 if TYPE_CHECKING:
-    from datetime import tzinfo
+    from datetime import (
+        tzinfo,
+    )
 
     import pyarrow
 
@@ -485,7 +495,9 @@ def construct_array_type(cls) -> type_t[Categorical]:
         -------
         type
         """
-        from pandas import Categorical
+        from pandas import (
+            Categorical,
+        )
 
         return Categorical
 
@@ -523,7 +535,9 @@ def validate_categories(categories, fastpath: bool = False) -> Index:
         -------
         categories : Index
         """
-        from pandas.core.indexes.base import Index
+        from pandas.core.indexes.base import (
+            Index,
+        )
 
         if not fastpath and not is_list_like(categories):
             raise TypeError(
@@ -593,12 +607,16 @@ def ordered(self) -> Ordered:
 
     @property
     def _is_boolean(self) -> bool:
-        from pandas.core.dtypes.common import is_bool_dtype
+        from pandas.core.dtypes.common import (
+            is_bool_dtype,
+        )
 
         return is_bool_dtype(self.categories)
 
     def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
-        from pandas.core.arrays.sparse import SparseDtype
+        from pandas.core.arrays.sparse import (
+            SparseDtype,
+        )
 
         # check if we have all categorical dtype with identical categories
         if all(isinstance(x, CategoricalDtype) for x in dtypes):
@@ -623,7 +641,9 @@ def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
             x.categories.dtype if isinstance(x, CategoricalDtype) else x for x in dtypes
         ]
         # TODO should categorical always give an answer?
-        from pandas.core.dtypes.cast import find_common_type
+        from pandas.core.dtypes.cast import (
+            find_common_type,
+        )
 
         return find_common_type(non_cat_dtypes)
 
@@ -745,7 +765,9 @@ def construct_array_type(cls) -> type_t[DatetimeArray]:
         -------
         type
         """
-        from pandas.core.arrays import DatetimeArray
+        from pandas.core.arrays import (
+            DatetimeArray,
+        )
 
         return DatetimeArray
 
@@ -998,7 +1020,9 @@ def construct_array_type(cls) -> type_t[PeriodArray]:
         -------
         type
         """
-        from pandas.core.arrays import PeriodArray
+        from pandas.core.arrays import (
+            PeriodArray,
+        )
 
         return PeriodArray
 
@@ -1010,7 +1034,9 @@ def __from_arrow__(
         """
         import pyarrow
 
-        from pandas.core.arrays import PeriodArray
+        from pandas.core.arrays import (
+            PeriodArray,
+        )
         from pandas.core.arrays.arrow._arrow_utils import (
             pyarrow_array_to_numpy_and_mask,
         )
@@ -1172,7 +1198,9 @@ def construct_array_type(cls) -> type[IntervalArray]:
         -------
         type
         """
-        from pandas.core.arrays import IntervalArray
+        from pandas.core.arrays import (
+            IntervalArray,
+        )
 
         return IntervalArray
 
@@ -1225,7 +1253,9 @@ def __eq__(self, other: Any) -> bool:
         elif self.closed != other.closed:
             return False
         else:
-            from pandas.core.dtypes.common import is_dtype_equal
+            from pandas.core.dtypes.common import (
+                is_dtype_equal,
+            )
 
             return is_dtype_equal(self.subtype, other.subtype)
 
@@ -1262,7 +1292,9 @@ def __from_arrow__(
         """
         import pyarrow
 
-        from pandas.core.arrays import IntervalArray
+        from pandas.core.arrays import (
+            IntervalArray,
+        )
 
         if isinstance(array, pyarrow.Array):
             chunks = [array]
@@ -1294,7 +1326,9 @@ def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
         if not all(cast("IntervalDtype", x).closed == closed for x in dtypes):
             return np.dtype(object)
 
-        from pandas.core.dtypes.cast import find_common_type
+        from pandas.core.dtypes.cast import (
+            find_common_type,
+        )
 
         common = find_common_type([cast("IntervalDtype", x).subtype for x in dtypes])
         if common == object:
@@ -1381,7 +1415,9 @@ def construct_array_type(cls) -> type_t[PandasArray]:
         -------
         type
         """
-        from pandas.core.arrays import PandasArray
+        from pandas.core.arrays import (
+            PandasArray,
+        )
 
         return PandasArray
 
@@ -1444,15 +1480,21 @@ def from_numpy_dtype(cls, dtype: np.dtype) -> BaseMaskedDtype:
         Construct the MaskedDtype corresponding to the given numpy dtype.
         """
         if dtype.kind == "b":
-            from pandas.core.arrays.boolean import BooleanDtype
+            from pandas.core.arrays.boolean import (
+                BooleanDtype,
+            )
 
             return BooleanDtype()
         elif dtype.kind in ["i", "u"]:
-            from pandas.core.arrays.integer import INT_STR_TO_DTYPE
+            from pandas.core.arrays.integer import (
+                INT_STR_TO_DTYPE,
+            )
 
             return INT_STR_TO_DTYPE[dtype.name]
         elif dtype.kind == "f":
-            from pandas.core.arrays.floating import FLOAT_STR_TO_DTYPE
+            from pandas.core.arrays.floating import (
+                FLOAT_STR_TO_DTYPE,
+            )
 
             return FLOAT_STR_TO_DTYPE[dtype.name]
         else:
@@ -1461,7 +1503,9 @@ def from_numpy_dtype(cls, dtype: np.dtype) -> BaseMaskedDtype:
     def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
         # We unwrap any masked dtypes, find the common dtype we would use
         #  for that, then re-mask the result.
-        from pandas.core.dtypes.cast import find_common_type
+        from pandas.core.dtypes.cast import (
+            find_common_type,
+        )
 
         new_dtype = find_common_type(
             [
diff --git a/pandas/core/dtypes/generic.py b/pandas/core/dtypes/generic.py
index 5904ba4895aef..8a038819ec1f5 100644
--- a/pandas/core/dtypes/generic.py
+++ b/pandas/core/dtypes/generic.py
@@ -1,5 +1,7 @@
 """ define generic base classes for pandas objects """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -28,7 +30,9 @@
         PeriodArray,
         TimedeltaArray,
     )
-    from pandas.core.generic import NDFrame
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 
 # define abstract base classes to enable isinstance type checking on our
diff --git a/pandas/core/dtypes/inference.py b/pandas/core/dtypes/inference.py
index 28e034de869f4..e8d8f162e8542 100644
--- a/pandas/core/dtypes/inference.py
+++ b/pandas/core/dtypes/inference.py
@@ -1,15 +1,25 @@
 """ basic inference routines """
 
-from __future__ import annotations
-
-from collections import abc
-from numbers import Number
+from __future__ import (
+    annotations,
+)
+
+from collections import (
+    abc,
+)
+from numbers import (
+    Number,
+)
 import re
-from typing import Pattern
+from typing import (
+    Pattern,
+)
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 
 is_bool = lib.is_bool
 
diff --git a/pandas/core/dtypes/missing.py b/pandas/core/dtypes/missing.py
index 99c0553998d63..b7ae31412c7a9 100644
--- a/pandas/core/dtypes/missing.py
+++ b/pandas/core/dtypes/missing.py
@@ -1,10 +1,16 @@
 """
 missing types & inference
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from decimal import Decimal
-from functools import partial
+from decimal import (
+    Decimal,
+)
+from functools import (
+    partial,
+)
 from typing import (
     TYPE_CHECKING,
     overload,
@@ -12,9 +18,13 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 import pandas._libs.missing as libmissing
 from pandas._libs.tslibs import (
     NaT,
@@ -51,7 +61,9 @@
     ABCMultiIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.inference import is_list_like
+from pandas.core.dtypes.inference import (
+    is_list_like,
+)
 
 if TYPE_CHECKING:
     from pandas._typing import (
@@ -63,7 +75,9 @@
         npt,
     )
 
-    from pandas.core.indexes.base import Index
+    from pandas.core.indexes.base import (
+        Index,
+    )
 
 
 isposinf_scalar = libmissing.isposinf_scalar
diff --git a/pandas/core/flags.py b/pandas/core/flags.py
index f07c6917d91e5..ca02c4251bcb0 100644
--- a/pandas/core/flags.py
+++ b/pandas/core/flags.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import weakref
 
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index dbbe2c0751f3a..28d9613789dd6 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -8,16 +8,24 @@
 alignment and a host of useful data manipulation methods having to do with the
 labeling information
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import collections
-from collections import abc
+from collections import (
+    abc,
+)
 import datetime
 import functools
-from io import StringIO
+from io import (
+    StringIO,
+)
 import itertools
 import sys
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -34,7 +42,9 @@
 import warnings
 
 import numpy as np
-from numpy import ma
+from numpy import (
+    ma,
+)
 
 from pandas._config import (
     get_option,
@@ -46,7 +56,9 @@
     lib,
     properties,
 )
-from pandas._libs.hashtable import duplicated
+from pandas._libs.hashtable import (
+    duplicated,
+)
 from pandas._libs.lib import (
     NoDefault,
     is_range_indexer,
@@ -92,8 +104,12 @@
     WriteBuffer,
     npt,
 )
-from pandas.compat import PYPY
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat import (
+    PYPY,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.compat.numpy import (
     function as nv,
     np_percentile_argname,
@@ -108,7 +124,9 @@
     Substitution,
     doc,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 from pandas.util._validators import (
     validate_ascending,
     validate_bool_kwarg,
@@ -146,7 +164,9 @@
     needs_i8_conversion,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.missing import (
     isna,
     notna,
@@ -158,28 +178,40 @@
     nanops,
     ops,
 )
-from pandas.core.accessor import CachedAccessor
+from pandas.core.accessor import (
+    CachedAccessor,
+)
 from pandas.core.apply import (
     reconstruct_func,
     relabel_result,
 )
-from pandas.core.array_algos.take import take_2d_multi
-from pandas.core.arraylike import OpsMixin
+from pandas.core.array_algos.take import (
+    take_2d_multi,
+)
+from pandas.core.arraylike import (
+    OpsMixin,
+)
 from pandas.core.arrays import (
     DatetimeArray,
     ExtensionArray,
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.sparse import SparseFrameAccessor
+from pandas.core.arrays.sparse import (
+    SparseFrameAccessor,
+)
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
     sanitize_array,
     sanitize_masked_array,
 )
-from pandas.core.generic import NDFrame
-from pandas.core.indexers import check_key_length
+from pandas.core.generic import (
+    NDFrame,
+)
+from pandas.core.indexers import (
+    check_key_length,
+)
 from pandas.core.indexes.api import (
     DatetimeIndex,
     Index,
@@ -212,17 +244,27 @@
     to_arrays,
     treat_as_nested,
 )
-from pandas.core.methods import selectn
-from pandas.core.reshape.melt import melt
-from pandas.core.series import Series
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.methods import (
+    selectn,
+)
+from pandas.core.reshape.melt import (
+    melt,
+)
+from pandas.core.series import (
+    Series,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 from pandas.core.sorting import (
     get_group_index,
     lexsort_indexer,
     nargsort,
 )
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 from pandas.io.formats import (
     console,
     format as fmt,
@@ -235,12 +277,22 @@
 import pandas.plotting
 
 if TYPE_CHECKING:
-    from pandas.core.groupby.generic import DataFrameGroupBy
-    from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrameXchg
-    from pandas.core.internals import SingleDataManager
-    from pandas.core.resample import Resampler
+    from pandas.core.groupby.generic import (
+        DataFrameGroupBy,
+    )
+    from pandas.core.interchange.dataframe_protocol import (
+        DataFrame as DataFrameXchg,
+    )
+    from pandas.core.internals import (
+        SingleDataManager,
+    )
+    from pandas.core.resample import (
+        Resampler,
+    )
 
-    from pandas.io.formats.style import Styler
+    from pandas.io.formats.style import (
+        Styler,
+    )
 
 # ---------------------------------------------------------------------
 # Docstring templates
@@ -703,7 +755,9 @@ def __init__(
             # GH#38939 de facto copy defaults to False only in non-dict cases
             mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
         elif isinstance(data, ma.MaskedArray):
-            from numpy.ma import mrecords
+            from numpy.ma import (
+                mrecords,
+            )
 
             # masked recarray
             if isinstance(data, mrecords.MaskedRecords):
@@ -879,7 +933,9 @@ def __dataframe__(
         dtypes is added, this value should be propagated to columns.
         """
 
-        from pandas.core.interchange.dataframe import PandasDataFrameXchg
+        from pandas.core.interchange.dataframe import (
+            PandasDataFrameXchg,
+        )
 
         return PandasDataFrameXchg(self, nan_as_null, allow_copy)
 
@@ -1242,7 +1298,9 @@ def to_string(
         1     2     5
         2     3     6
         """
-        from pandas import option_context
+        from pandas import (
+            option_context,
+        )
 
         with option_context("display.max_colwidth", max_colwidth):
             formatter = fmt.DataFrameFormatter(
@@ -1283,7 +1341,9 @@ def style(self) -> Styler:
         io.formats.style.Styler : Helps style a DataFrame or Series according to the
             data with HTML and CSS.
         """
-        from pandas.io.formats.style import Styler
+        from pandas.io.formats.style import (
+            Styler,
+        )
 
         return Styler(self)
 
@@ -1973,7 +2033,9 @@ def to_dict(
         [defaultdict(<class 'list'>, {'col1': 1, 'col2': 0.5}),
          defaultdict(<class 'list'>, {'col1': 2, 'col2': 0.75})]
         """
-        from pandas.core.methods.to_dict import to_dict
+        from pandas.core.methods.to_dict import (
+            to_dict,
+        )
 
         return to_dict(self, orient, into, index)
 
@@ -2073,7 +2135,9 @@ def to_gbq(
         pandas_gbq.to_gbq : This function in the pandas-gbq library.
         read_gbq : Read a DataFrame from Google BigQuery.
         """
-        from pandas.io import gbq
+        from pandas.io import (
+            gbq,
+        )
 
         gbq.to_gbq(
             self,
@@ -2626,7 +2690,9 @@ def to_stata(
         if version == 114:
             if convert_strl is not None:
                 raise ValueError("strl is not supported in format 114")
-            from pandas.io.stata import StataWriter as statawriter
+            from pandas.io.stata import (
+                StataWriter as statawriter,
+            )
         elif version == 117:
             # Incompatible import of "statawriter" (imported name has type
             # "Type[StataWriter117]", local name has type "Type[StataWriter]")
@@ -2688,7 +2754,9 @@ def to_feather(self, path: FilePath | WriteBuffer[bytes], **kwargs) -> None:
         index. For saving the DataFrame with your custom index use a method that
         supports custom indices e.g. `to_parquet`.
         """
-        from pandas.io.feather_format import to_feather
+        from pandas.io.feather_format import (
+            to_feather,
+        )
 
         to_feather(self, path, **kwargs)
 
@@ -2867,7 +2935,9 @@ def to_parquet(
         0
         >>> content = f.read()
         """
-        from pandas.io.parquet import to_parquet
+        from pandas.io.parquet import (
+            to_parquet,
+        )
 
         return to_parquet(
             self,
@@ -2961,7 +3031,9 @@ def to_orc(
         0
         >>> content = b.read()  # doctest: +SKIP
         """
-        from pandas.io.orc import to_orc
+        from pandas.io.orc import (
+            to_orc,
+        )
 
         return to_orc(
             self, path, engine=engine, index=index, engine_kwargs=engine_kwargs
@@ -4537,7 +4609,9 @@ def eval(self, expr: str, *, inplace: bool = False, **kwargs) -> Any | None:
         3  4   4   8  0
         4  5   2   7  3
         """
-        from pandas.core.computation.eval import eval as _eval
+        from pandas.core.computation.eval import (
+            eval as _eval,
+        )
 
         inplace = validate_bool_kwarg(inplace, "inplace")
         kwargs["level"] = kwargs.pop("level", 0) + 1
@@ -7927,7 +8001,9 @@ def combine_first(self, other: DataFrame) -> DataFrame:
         1  0.0  3.0  1.0
         2  NaN  3.0  1.0
         """
-        from pandas.core.computation import expressions
+        from pandas.core.computation import (
+            expressions,
+        )
 
         def combiner(x, y):
             mask = extract_array(isna(x))
@@ -8071,7 +8147,9 @@ def update(
         1  2  500
         2  3    6
         """
-        from pandas.core.computation import expressions
+        from pandas.core.computation import (
+            expressions,
+        )
 
         # TODO: Support other joins
         if join != "left":  # pragma: no cover
@@ -8227,7 +8305,9 @@ def groupby(
         observed: bool = False,
         dropna: bool = True,
     ) -> DataFrameGroupBy:
-        from pandas.core.groupby.generic import DataFrameGroupBy
+        from pandas.core.groupby.generic import (
+            DataFrameGroupBy,
+        )
 
         if level is None and by is None:
             raise TypeError("You have to supply one of 'by' and 'level'")
@@ -8394,7 +8474,9 @@ def groupby(
     @Substitution("")
     @Appender(_shared_docs["pivot"])
     def pivot(self, *, columns, index=lib.NoDefault, values=lib.NoDefault) -> DataFrame:
-        from pandas.core.reshape.pivot import pivot
+        from pandas.core.reshape.pivot import (
+            pivot,
+        )
 
         return pivot(self, index=index, columns=columns, values=values)
 
@@ -8559,7 +8641,9 @@ def pivot_table(
         observed: bool = False,
         sort: bool = True,
     ) -> DataFrame:
-        from pandas.core.reshape.pivot import pivot_table
+        from pandas.core.reshape.pivot import (
+            pivot_table,
+        )
 
         return pivot_table(
             self,
@@ -8941,7 +9025,9 @@ def unstack(self, level: Level = -1, fill_value=None):
              b  4.0
         dtype: float64
         """
-        from pandas.core.reshape.reshape import unstack
+        from pandas.core.reshape.reshape import (
+            unstack,
+        )
 
         result = unstack(self, level, fill_value)
 
@@ -9171,7 +9257,9 @@ def _gotitem(
         examples=_agg_examples_doc,
     )
     def aggregate(self, func=None, axis: Axis = 0, *args, **kwargs):
-        from pandas.core.apply import frame_apply
+        from pandas.core.apply import (
+            frame_apply,
+        )
 
         axis = self._get_axis_number(axis)
 
@@ -9241,7 +9329,9 @@ def any(  # type: ignore[empty-body]
     def transform(
         self, func: AggFuncType, axis: Axis = 0, *args, **kwargs
     ) -> DataFrame:
-        from pandas.core.apply import frame_apply
+        from pandas.core.apply import (
+            frame_apply,
+        )
 
         op = frame_apply(self, func=func, axis=axis, args=args, kwargs=kwargs)
         result = op.transform()
@@ -9394,7 +9484,9 @@ def apply(
         1  1  2
         2  1  2
         """
-        from pandas.core.apply import frame_apply
+        from pandas.core.apply import (
+            frame_apply,
+        )
 
         op = frame_apply(
             self,
@@ -9528,7 +9620,9 @@ def _append(
                 if self.index.name is not None and not ignore_index:
                     other.index.name = self.index.name
 
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         if isinstance(other, (list, tuple)):
             to_concat = [self, *other]
@@ -9726,8 +9820,12 @@ def _join_compat(
         sort: bool = False,
         validate: str | None = None,
     ):
-        from pandas.core.reshape.concat import concat
-        from pandas.core.reshape.merge import merge
+        from pandas.core.reshape.concat import (
+            concat,
+        )
+        from pandas.core.reshape.merge import (
+            merge,
+        )
 
         if isinstance(other, Series):
             if other.name is None:
@@ -9818,7 +9916,9 @@ def merge(
         indicator: str | bool = False,
         validate: str | None = None,
     ) -> DataFrame:
-        from pandas.core.reshape.merge import merge
+        from pandas.core.reshape.merge import (
+            merge,
+        )
 
         return merge(
             self,
@@ -9915,7 +10015,9 @@ def round(
         2   0.7   0.0
         3   0.2   0.0
         """
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         def _dict_round(df: DataFrame, decimals):
             for col, vals in df.items():
@@ -11178,7 +11280,9 @@ def isin(self, values: Series | DataFrame | Sequence | Mapping) -> DataFrame:
         dog        False      False
         """
         if isinstance(values, dict):
-            from pandas.core.reshape.concat import concat
+            from pandas.core.reshape.concat import (
+                concat,
+            )
 
             values = collections.defaultdict(list, values)
             result = concat(
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 821e41db6b065..5697c611ec944 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -1,11 +1,17 @@
 # pyright: reportPropertyTypeMismatch=false
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import collections
 import datetime as dt
-from functools import partial
+from functools import (
+    partial,
+)
 import gc
-from json import loads
+from json import (
+    loads,
+)
 import operator
 import pickle
 import re
@@ -35,8 +41,12 @@
     using_copy_on_write,
 )
 
-from pandas._libs import lib
-from pandas._libs.lib import is_range_indexer
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.lib import (
+    is_range_indexer,
+)
 from pandas._libs.tslibs import (
     Period,
     Tick,
@@ -82,16 +92,24 @@
     WriteBuffer,
     npt,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.compat.numpy import function as nv
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.errors import (
     AbstractMethodError,
     InvalidIndexError,
     SettingWithCopyError,
     SettingWithCopyWarning,
 )
-from pandas.util._decorators import doc
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 from pandas.util._validators import (
     validate_ascending,
     validate_bool_kwarg,
@@ -140,11 +158,21 @@
     nanops,
     sample,
 )
-from pandas.core.array_algos.replace import should_use_regex
-from pandas.core.arrays import ExtensionArray
-from pandas.core.base import PandasObject
-from pandas.core.construction import extract_array
-from pandas.core.flags import Flags
+from pandas.core.array_algos.replace import (
+    should_use_regex,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
+from pandas.core.base import (
+    PandasObject,
+)
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.flags import (
+    Flags,
+)
 from pandas.core.indexes.api import (
     DatetimeIndex,
     Index,
@@ -163,16 +191,26 @@
     mgr_to_mgr,
     ndarray_to_mgr,
 )
-from pandas.core.methods.describe import describe_ndframe
+from pandas.core.methods.describe import (
+    describe_ndframe,
+)
 from pandas.core.missing import (
     clean_fill_method,
     clean_reindex_fill_method,
     find_valid_index,
 )
-from pandas.core.ops import align_method_FRAME
-from pandas.core.reshape.concat import concat
-from pandas.core.shared_docs import _shared_docs
-from pandas.core.sorting import get_indexer_indexer
+from pandas.core.ops import (
+    align_method_FRAME,
+)
+from pandas.core.reshape.concat import (
+    concat,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
+from pandas.core.sorting import (
+    get_indexer_indexer,
+)
 from pandas.core.window import (
     Expanding,
     ExponentialMovingWindow,
@@ -184,17 +222,31 @@
     DataFrameFormatter,
     DataFrameRenderer,
 )
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 if TYPE_CHECKING:
-    from pandas._libs.tslibs import BaseOffset
+    from pandas._libs.tslibs import (
+        BaseOffset,
+    )
 
-    from pandas.core.frame import DataFrame
-    from pandas.core.indexers.objects import BaseIndexer
-    from pandas.core.resample import Resampler
-    from pandas.core.series import Series
+    from pandas.core.frame import (
+        DataFrame,
+    )
+    from pandas.core.indexers.objects import (
+        BaseIndexer,
+    )
+    from pandas.core.resample import (
+        Resampler,
+    )
+    from pandas.core.series import (
+        Series,
+    )
 
-    from pandas.io.pytables import HDFStore
+    from pandas.io.pytables import (
+        HDFStore,
+    )
 
 
 # goal is to be able to define the docs close to function, while still being
@@ -567,7 +619,9 @@ def _get_axis_resolvers(self, axis: str) -> dict[str, Series | MultiIndex]:
 
     @final
     def _get_index_resolvers(self) -> dict[Hashable, Series | MultiIndex]:
-        from pandas.core.computation.parsing import clean_column_name
+        from pandas.core.computation.parsing import (
+            clean_column_name,
+        )
 
         d: dict[str, Series | MultiIndex] = {}
         for axis_name in self._AXIS_ORDERS:
@@ -584,7 +638,9 @@ def _get_cleaned_column_resolvers(self) -> dict[Hashable, Series]:
         be referred to by backtick quoting.
         Used in :meth:`DataFrame.eval`.
         """
-        from pandas.core.computation.parsing import clean_column_name
+        from pandas.core.computation.parsing import (
+            clean_column_name,
+        )
 
         if isinstance(self, ABCSeries):
             return {clean_column_name(self.name): self}
@@ -2215,7 +2271,9 @@ def to_excel(
 
         df = self if isinstance(self, ABCDataFrame) else self.to_frame()
 
-        from pandas.io.formats.excel import ExcelFormatter
+        from pandas.io.formats.excel import (
+            ExcelFormatter,
+        )
 
         formatter = ExcelFormatter(
             df,
@@ -2498,7 +2556,9 @@ def to_json(
             ]
         }}
         """
-        from pandas.io import json
+        from pandas.io import (
+            json,
+        )
 
         if date_format is None and orient == "table":
             date_format = "iso"
@@ -2654,7 +2714,9 @@ def to_hdf(
         3    4
         dtype: int64
         """
-        from pandas.io import pytables
+        from pandas.io import (
+            pytables,
+        )
 
         # Argument 3 to "to_hdf" has incompatible type "NDFrame"; expected
         # "Union[DataFrame, Series]" [arg-type]
@@ -2852,7 +2914,9 @@ def to_sql(
         ...   conn.execute(text("SELECT * FROM integers")).fetchall()
         [(1,), (None,), (2,)]
         """  # noqa:E501
-        from pandas.io import sql
+        from pandas.io import (
+            sql,
+        )
 
         return sql.to_sql(
             self,
@@ -2929,7 +2993,9 @@ def to_pickle(
         3    3    8
         4    4    9
         """  # noqa: E501
-        from pandas.io.pickle import to_pickle
+        from pandas.io.pickle import (
+            to_pickle,
+        )
 
         to_pickle(
             self,
@@ -3008,7 +3074,9 @@ def to_clipboard(
            html = df.style.to_html()
            pyperclip.copy(html)
         """
-        from pandas.io import clipboards
+        from pandas.io import (
+            clipboards,
+        )
 
         clipboards.to_clipboard(self, excel=excel, sep=sep, **kwargs)
 
@@ -3491,7 +3559,9 @@ def _to_latex_via_styler(
         str or None
             If buf is None, returns the result as a string. Otherwise returns None.
         """
-        from pandas.io.formats.style import Styler
+        from pandas.io.formats.style import (
+            Styler,
+        )
 
         self = cast("DataFrame", self)
         styler = Styler(self, uuid="")
@@ -6305,7 +6375,9 @@ def astype(
 
             # GH#44417 cast to Series so we can use .iat below, which will be
             #  robust in case we
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             dtype_ser = Series(dtype, dtype=object)
 
@@ -6905,7 +6977,9 @@ def fillna(
                         if inplace:
                             return None
                         return self.copy(deep=None)
-                    from pandas import Series
+                    from pandas import (
+                        Series,
+                    )
 
                     value = Series(value)
                     value = value.reindex(self.index, copy=False)
@@ -7265,7 +7339,9 @@ def replace(
             if isinstance(to_replace, (tuple, list)):
                 # TODO: Consider copy-on-write for non-replaced columns's here
                 if isinstance(self, ABCDataFrame):
-                    from pandas import Series
+                    from pandas import (
+                        Series,
+                    )
 
                     result = self.apply(
                         Series._replace_single,
@@ -8358,7 +8434,9 @@ def asfreq(
         2000-01-01 00:02:30    3.0
         2000-01-01 00:03:00    3.0
         """
-        from pandas.core.resample import asfreq
+        from pandas.core.resample import (
+            asfreq,
+        )
 
         return asfreq(
             self,
@@ -8895,7 +8973,9 @@ def resample(
         2000-10-02 00:29:00    45
         Freq: 17T, dtype: int64
         """
-        from pandas.core.resample import get_resampler
+        from pandas.core.resample import (
+            get_resampler,
+        )
 
         axis = self._get_axis_number(axis)
         return get_resampler(
@@ -10301,7 +10381,9 @@ def truncate(
         # if we have a date index, convert to dates, otherwise
         # treat like a slice
         if ax._is_all_dates:
-            from pandas.core.tools.datetimes import to_datetime
+            from pandas.core.tools.datetimes import (
+                to_datetime,
+            )
 
             before = to_datetime(before)
             after = to_datetime(after)
diff --git a/pandas/core/groupby/__init__.py b/pandas/core/groupby/__init__.py
index 8248f378e2c1a..7b98acef059e2 100644
--- a/pandas/core/groupby/__init__.py
+++ b/pandas/core/groupby/__init__.py
@@ -3,8 +3,12 @@
     NamedAgg,
     SeriesGroupBy,
 )
-from pandas.core.groupby.groupby import GroupBy
-from pandas.core.groupby.grouper import Grouper
+from pandas.core.groupby.groupby import (
+    GroupBy,
+)
+from pandas.core.groupby.grouper import (
+    Grouper,
+)
 
 __all__ = [
     "DataFrameGroupBy",
diff --git a/pandas/core/groupby/base.py b/pandas/core/groupby/base.py
index 0f6d39be7d32f..c466fd0924573 100644
--- a/pandas/core/groupby/base.py
+++ b/pandas/core/groupby/base.py
@@ -1,10 +1,14 @@
 """
 Provide basic components for groupby.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import dataclasses
-from typing import Hashable
+from typing import (
+    Hashable,
+)
 
 
 @dataclasses.dataclass(order=True, frozen=True)
diff --git a/pandas/core/groupby/categorical.py b/pandas/core/groupby/categorical.py
index 20248cd69bfb9..8c37b94e3a595 100644
--- a/pandas/core/groupby/categorical.py
+++ b/pandas/core/groupby/categorical.py
@@ -1,8 +1,12 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas.core.algorithms import unique1d
+from pandas.core.algorithms import (
+    unique1d,
+)
 from pandas.core.arrays.categorical import (
     Categorical,
     CategoricalDtype,
diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py
index 60c43b6cf0ecd..499e7bf91bb87 100644
--- a/pandas/core/groupby/generic.py
+++ b/pandas/core/groupby/generic.py
@@ -5,11 +5,19 @@
 These are user facing as the result of the ``df.groupby(...)`` operations,
 which here returns a DataFrameGroupBy object.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
-from functools import partial
-from textwrap import dedent
+from collections import (
+    abc,
+)
+from functools import (
+    partial,
+)
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -43,7 +51,9 @@
     SingleManager,
     TakeIndexer,
 )
-from pandas.errors import SpecificationError
+from pandas.errors import (
+    SpecificationError,
+)
 from pandas.util._decorators import (
     Appender,
     Substitution,
@@ -65,7 +75,9 @@
     notna,
 )
 
-from pandas.core import algorithms
+from pandas.core import (
+    algorithms,
+)
 from pandas.core.apply import (
     GroupByApply,
     maybe_mangle_lambdas,
@@ -73,8 +85,12 @@
     validate_func_kwargs,
 )
 import pandas.core.common as com
-from pandas.core.frame import DataFrame
-from pandas.core.groupby import base
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.groupby import (
+    base,
+)
 from pandas.core.groupby.groupby import (
     GroupBy,
     GroupByPlot,
@@ -88,14 +104,24 @@
     all_indexes_same,
     default_index,
 )
-from pandas.core.series import Series
-from pandas.core.util.numba_ import maybe_use_numba
+from pandas.core.series import (
+    Series,
+)
+from pandas.core.util.numba_ import (
+    maybe_use_numba,
+)
 
-from pandas.plotting import boxplot_frame_groupby
+from pandas.plotting import (
+    boxplot_frame_groupby,
+)
 
 if TYPE_CHECKING:
-    from pandas import Categorical
-    from pandas.core.generic import NDFrame
+    from pandas import (
+        Categorical,
+    )
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 # TODO(typing) the return value on this callable should be any *scalar*.
 AggScalar = Union[str, Callable[..., Any]]
@@ -313,7 +339,9 @@ def _aggregate_multiple_funcs(self, arg, *args, **kwargs) -> DataFrame:
                 results[key] = self.aggregate(func, *args, **kwargs)
 
         if any(isinstance(x, DataFrame) for x in results.values()):
-            from pandas import concat
+            from pandas import (
+                concat,
+            )
 
             res_df = concat(
                 results.values(), axis=1, keys=[key.label for key in results]
@@ -506,7 +534,9 @@ def _transform_general(self, func: Callable, *args, **kwargs) -> Series:
 
         # check for empty "results" to avoid concat ValueError
         if results:
-            from pandas.core.reshape.concat import concat
+            from pandas.core.reshape.concat import (
+                concat,
+            )
 
             concatenated = concat(results)
             result = self._set_result_index_ordered(concatenated)
@@ -659,8 +689,12 @@ def value_counts(
             result.name = name
             return result
 
-        from pandas.core.reshape.merge import get_join_indexers
-        from pandas.core.reshape.tile import cut
+        from pandas.core.reshape.merge import (
+            get_join_indexers,
+        )
+        from pandas.core.reshape.tile import (
+            cut,
+        )
 
         ids, _, _ = self.grouper.group_info
         val = self.obj._values
@@ -1522,7 +1556,9 @@ def arr_func(bvalues: ArrayLike) -> ArrayLike:
         return res_df
 
     def _transform_general(self, func, *args, **kwargs):
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         applied = []
         obj = self._obj_with_exclusions
@@ -1822,7 +1858,9 @@ def _wrap_agged_manager(self, mgr: Manager2D) -> DataFrame:
         return self.obj._constructor(mgr)
 
     def _apply_to_column_groupbys(self, func) -> DataFrame:
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         obj = self._obj_with_exclusions
         columns = obj.columns
@@ -2595,7 +2633,9 @@ def corrwith(
 def _wrap_transform_general_frame(
     obj: DataFrame, group: DataFrame, res: DataFrame | Series
 ) -> DataFrame:
-    from pandas import concat
+    from pandas import (
+        concat,
+    )
 
     if isinstance(res, Series):
         # we need to broadcast across the
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 55e14bc11246b..aac45d28d8464 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -6,7 +6,9 @@ class providing the base-class of operations.
 (defined in pandas.core.groupby.generic)
 expose these user-facing objects to provide specific functionality.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import datetime
 from functools import (
@@ -14,7 +16,9 @@ class providing the base-class of operations.
     wraps,
 )
 import inspect
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -33,15 +37,21 @@ class providing the base-class of operations.
 
 import numpy as np
 
-from pandas._config.config import option_context
+from pandas._config.config import (
+    option_context,
+)
 
 from pandas._libs import (
     Timestamp,
     lib,
 )
-from pandas._libs.algos import rank_1d
+from pandas._libs.algos import (
+    rank_1d,
+)
 import pandas._libs.groupby as libgroupby
-from pandas._libs.missing import NA
+from pandas._libs.missing import (
+    NA,
+)
 from pandas._typing import (
     AnyArrayLike,
     ArrayLike,
@@ -57,7 +67,9 @@ class providing the base-class of operations.
     T,
     npt,
 )
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.errors import (
     AbstractMethodError,
     DataError,
@@ -69,7 +81,9 @@ class providing the base-class of operations.
     doc,
 )
 
-from pandas.core.dtypes.cast import ensure_dtype_can_hold_na
+from pandas.core.dtypes.cast import (
+    ensure_dtype_can_hold_na,
+)
 from pandas.core.dtypes.common import (
     is_bool_dtype,
     is_float_dtype,
@@ -90,7 +104,9 @@ class providing the base-class of operations.
     algorithms,
     sample,
 )
-from pandas.core._numba import executor
+from pandas.core._numba import (
+    executor,
+)
 from pandas.core.arrays import (
     BaseMaskedArray,
     BooleanArray,
@@ -105,14 +121,20 @@ class providing the base-class of operations.
     SelectionMixin,
 )
 import pandas.core.common as com
-from pandas.core.frame import DataFrame
-from pandas.core.generic import NDFrame
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.generic import (
+    NDFrame,
+)
 from pandas.core.groupby import (
     base,
     numba_,
     ops,
 )
-from pandas.core.groupby.grouper import get_grouper
+from pandas.core.groupby.grouper import (
+    get_grouper,
+)
 from pandas.core.groupby.indexing import (
     GroupByIndexingMixin,
     GroupByNthSelector,
@@ -124,9 +146,15 @@ class providing the base-class of operations.
     RangeIndex,
     default_index,
 )
-from pandas.core.internals.blocks import ensure_block_shape
-from pandas.core.series import Series
-from pandas.core.sorting import get_group_index_sorter
+from pandas.core.internals.blocks import (
+    ensure_block_shape,
+)
+from pandas.core.series import (
+    Series,
+)
+from pandas.core.sorting import (
+    get_group_index_sorter,
+)
 from pandas.core.util.numba_ import (
     get_jit_arguments,
     maybe_use_numba,
@@ -999,7 +1027,9 @@ def _concat_objects(
         not_indexed_same: bool = False,
         is_transform: bool = False,
     ):
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         if self.group_keys and not is_transform:
             if self.as_index:
@@ -1838,7 +1868,9 @@ def mean(
         """
 
         if maybe_use_numba(engine):
-            from pandas.core._numba.kernels import sliding_mean
+            from pandas.core._numba.kernels import (
+                sliding_mean,
+            )
 
             return self._numba_agg_general(sliding_mean, engine_kwargs)
         else:
@@ -1929,7 +1961,9 @@ def std(
             Standard deviation of values within each group.
         """
         if maybe_use_numba(engine):
-            from pandas.core._numba.kernels import sliding_var
+            from pandas.core._numba.kernels import (
+                sliding_var,
+            )
 
             return np.sqrt(self._numba_agg_general(sliding_var, engine_kwargs, ddof))
         else:
@@ -2012,7 +2046,9 @@ def var(
             Variance of values within each group.
         """
         if maybe_use_numba(engine):
-            from pandas.core._numba.kernels import sliding_var
+            from pandas.core._numba.kernels import (
+                sliding_var,
+            )
 
             return self._numba_agg_general(sliding_var, engine_kwargs, ddof)
         else:
@@ -2239,7 +2275,9 @@ def sum(
         engine_kwargs: dict[str, bool] | None = None,
     ):
         if maybe_use_numba(engine):
-            from pandas.core._numba.kernels import sliding_sum
+            from pandas.core._numba.kernels import (
+                sliding_sum,
+            )
 
             return self._numba_agg_general(
                 sliding_sum,
@@ -2276,7 +2314,9 @@ def min(
         engine_kwargs: dict[str, bool] | None = None,
     ):
         if maybe_use_numba(engine):
-            from pandas.core._numba.kernels import sliding_min_max
+            from pandas.core._numba.kernels import (
+                sliding_min_max,
+            )
 
             return self._numba_agg_general(sliding_min_max, engine_kwargs, False)
         else:
@@ -2297,7 +2337,9 @@ def max(
         engine_kwargs: dict[str, bool] | None = None,
     ):
         if maybe_use_numba(engine):
-            from pandas.core._numba.kernels import sliding_min_max
+            from pandas.core._numba.kernels import (
+                sliding_min_max,
+            )
 
             return self._numba_agg_general(sliding_min_max, engine_kwargs, True)
         else:
@@ -2605,7 +2647,9 @@ def resample(self, rule, *args, **kwargs):
             2000-01-01 00:03:00  0  2
         5   2000-01-01 00:03:00  5  1
         """
-        from pandas.core.resample import get_resampler_for_grouping
+        from pandas.core.resample import (
+            get_resampler_for_grouping,
+        )
 
         return get_resampler_for_grouping(self, rule, *args, **kwargs)
 
@@ -2739,7 +2783,9 @@ def rolling(self, *args, **kwargs) -> RollingGroupby:
         2 2  3    NaN
           3  4  0.705
         """
-        from pandas.core.window import RollingGroupby
+        from pandas.core.window import (
+            RollingGroupby,
+        )
 
         return RollingGroupby(
             self._selected_obj,
@@ -2757,7 +2803,9 @@ def expanding(self, *args, **kwargs) -> ExpandingGroupby:
         Return an expanding grouper, providing expanding
         functionality per group.
         """
-        from pandas.core.window import ExpandingGroupby
+        from pandas.core.window import (
+            ExpandingGroupby,
+        )
 
         return ExpandingGroupby(
             self._selected_obj,
@@ -2773,7 +2821,9 @@ def ewm(self, *args, **kwargs) -> ExponentialMovingWindowGroupby:
         """
         Return an ewm grouper, providing ewm functionality per group.
         """
-        from pandas.core.window import ExponentialMovingWindowGroupby
+        from pandas.core.window import (
+            ExponentialMovingWindowGroupby,
+        )
 
         return ExponentialMovingWindowGroupby(
             self._selected_obj,
@@ -4232,11 +4282,15 @@ def get_groupby(
 ) -> GroupBy:
     klass: type[GroupBy]
     if isinstance(obj, Series):
-        from pandas.core.groupby.generic import SeriesGroupBy
+        from pandas.core.groupby.generic import (
+            SeriesGroupBy,
+        )
 
         klass = SeriesGroupBy
     elif isinstance(obj, DataFrame):
-        from pandas.core.groupby.generic import DataFrameGroupBy
+        from pandas.core.groupby.generic import (
+            DataFrameGroupBy,
+        )
 
         klass = DataFrameGroupBy
     else:  # pragma: no cover
diff --git a/pandas/core/groupby/grouper.py b/pandas/core/groupby/grouper.py
index f735ce682fc83..d067aa500b536 100644
--- a/pandas/core/groupby/grouper.py
+++ b/pandas/core/groupby/grouper.py
@@ -2,7 +2,9 @@
 Provide user facing operators for doing the split part of the
 split-apply-combine paradigm.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -14,7 +16,9 @@
 
 import numpy as np
 
-from pandas._config import using_copy_on_write
+from pandas._config import (
+    using_copy_on_write,
+)
 
 from pandas._typing import (
     ArrayLike,
@@ -22,9 +26,15 @@
     NDFrameT,
     npt,
 )
-from pandas.errors import InvalidIndexError
-from pandas.util._decorators import cache_readonly
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    InvalidIndexError,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
@@ -32,26 +42,40 @@
     is_scalar,
 )
 
-from pandas.core import algorithms
+from pandas.core import (
+    algorithms,
+)
 from pandas.core.arrays import (
     Categorical,
     ExtensionArray,
 )
 import pandas.core.common as com
-from pandas.core.frame import DataFrame
-from pandas.core.groupby import ops
-from pandas.core.groupby.categorical import recode_for_groupby
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.groupby import (
+    ops,
+)
+from pandas.core.groupby.categorical import (
+    recode_for_groupby,
+)
 from pandas.core.indexes.api import (
     CategoricalIndex,
     Index,
     MultiIndex,
 )
-from pandas.core.series import Series
+from pandas.core.series import (
+    Series,
+)
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.generic import NDFrame
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 
 class Grouper:
@@ -248,7 +272,9 @@ class Grouper:
 
     def __new__(cls, *args, **kwargs):
         if kwargs.get("freq") is not None:
-            from pandas.core.resample import TimeGrouper
+            from pandas.core.resample import (
+                TimeGrouper,
+            )
 
             cls = TimeGrouper
         return super().__new__(cls)
diff --git a/pandas/core/groupby/indexing.py b/pandas/core/groupby/indexing.py
index 911ee0e8e4725..b687a8625d7ec 100644
--- a/pandas/core/groupby/indexing.py
+++ b/pandas/core/groupby/indexing.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -9,7 +11,9 @@
 
 import numpy as np
 
-from pandas._typing import PositionalIndexer
+from pandas._typing import (
+    PositionalIndexer,
+)
 from pandas.util._decorators import (
     cache_readonly,
     doc,
@@ -25,7 +29,9 @@
         DataFrame,
         Series,
     )
-    from pandas.core.groupby import groupby
+    from pandas.core.groupby import (
+        groupby,
+    )
 
 
 class GroupByIndexingMixin:
diff --git a/pandas/core/groupby/numba_.py b/pandas/core/groupby/numba_.py
index 282cb81e743f9..329fa12b27940 100644
--- a/pandas/core/groupby/numba_.py
+++ b/pandas/core/groupby/numba_.py
@@ -1,5 +1,7 @@
 """Common utilities for Numba operations with groupby ops"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import functools
 import inspect
@@ -11,8 +13,12 @@
 
 import numpy as np
 
-from pandas._typing import Scalar
-from pandas.compat._optional import import_optional_dependency
+from pandas._typing import (
+    Scalar,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 from pandas.core.util.numba_ import (
     NumbaUtilError,
diff --git a/pandas/core/groupby/ops.py b/pandas/core/groupby/ops.py
index 726d75d705344..874ab9e516c0c 100644
--- a/pandas/core/groupby/ops.py
+++ b/pandas/core/groupby/ops.py
@@ -5,7 +5,9 @@
 operations, primarily in cython. These classes (BaseGrouper and BinGrouper)
 are contained *in* the SeriesGroupBy and DataFrameGroupBy objects.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import collections
 import functools
@@ -35,8 +37,12 @@
     Shape,
     npt,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import cache_readonly
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
 from pandas.core.dtypes.cast import (
     maybe_cast_pointwise_result,
@@ -59,7 +65,9 @@
     is_timedelta64_dtype,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 from pandas.core.dtypes.missing import (
     isna,
     maybe_fill,
@@ -76,16 +84,24 @@
     BaseMaskedArray,
     BaseMaskedDtype,
 )
-from pandas.core.arrays.string_ import StringDtype
-from pandas.core.frame import DataFrame
-from pandas.core.groupby import grouper
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.groupby import (
+    grouper,
+)
 from pandas.core.indexes.api import (
     CategoricalIndex,
     Index,
     MultiIndex,
     ensure_index,
 )
-from pandas.core.series import Series
+from pandas.core.series import (
+    Series,
+)
 from pandas.core.sorting import (
     compress_group_index,
     decons_obs_group_ids,
@@ -96,7 +112,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.generic import NDFrame
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 
 class WrappedCythonOp:
diff --git a/pandas/core/indexers/objects.py b/pandas/core/indexers/objects.py
index 714fe92301a08..e427a655bb760 100644
--- a/pandas/core/indexers/objects.py
+++ b/pandas/core/indexers/objects.py
@@ -1,16 +1,28 @@
 """Indexer objects for computing start/end window bounds for rolling operations"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 
-from pandas._libs.window.indexers import calculate_variable_window_bounds
-from pandas.util._decorators import Appender
+from pandas._libs.window.indexers import (
+    calculate_variable_window_bounds,
+)
+from pandas.util._decorators import (
+    Appender,
+)
 
-from pandas.core.dtypes.common import ensure_platform_int
+from pandas.core.dtypes.common import (
+    ensure_platform_int,
+)
 
-from pandas.tseries.offsets import Nano
+from pandas.tseries.offsets import (
+    Nano,
+)
 
 get_window_bounds_doc = """
 Computes the bounds of a window.
diff --git a/pandas/core/indexers/utils.py b/pandas/core/indexers/utils.py
index 0674831aaa6f3..0347f762ec4a5 100644
--- a/pandas/core/indexers/utils.py
+++ b/pandas/core/indexers/utils.py
@@ -1,7 +1,9 @@
 """
 Low-dependency indexing utilities.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -10,7 +12,9 @@
 
 import numpy as np
 
-from pandas._typing import AnyArrayLike
+from pandas._typing import (
+    AnyArrayLike,
+)
 
 from pandas.core.dtypes.common import (
     is_array_like,
@@ -26,8 +30,12 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.frame import DataFrame
-    from pandas.core.indexes.base import Index
+    from pandas.core.frame import (
+        DataFrame,
+    )
+    from pandas.core.indexes.base import (
+        Index,
+    )
 
 # -----------------------------------------------------------
 # Indexer Identification
@@ -510,7 +518,9 @@ def check_array_indexer(array: AnyArrayLike, indexer: Any) -> Any:
     ...
     IndexError: arrays used as indices must be of integer or boolean type
     """
-    from pandas.core.construction import array as pd_array
+    from pandas.core.construction import (
+        array as pd_array,
+    )
 
     # whatever is not an array-like is returned as-is (possible valid array
     # indexers that are not array-like: integer, slice, Ellipsis, None)
diff --git a/pandas/core/indexes/accessors.py b/pandas/core/indexes/accessors.py
index 788448f2c7be6..850be8511c280 100644
--- a/pandas/core/indexes/accessors.py
+++ b/pandas/core/indexes/accessors.py
@@ -1,7 +1,9 @@
 """
 datetimelike delegation
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -19,7 +21,9 @@
     is_period_dtype,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.generic import ABCSeries
+from pandas.core.dtypes.generic import (
+    ABCSeries,
+)
 
 from pandas.core.accessor import (
     PandasDelegate,
@@ -30,14 +34,22 @@
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.arrow.array import ArrowExtensionArray
-from pandas.core.arrays.arrow.dtype import ArrowDtype
+from pandas.core.arrays.arrow.array import (
+    ArrowExtensionArray,
+)
+from pandas.core.arrays.arrow.dtype import (
+    ArrowDtype,
+)
 from pandas.core.base import (
     NoNewAttributesMixin,
     PandasObject,
 )
-from pandas.core.indexes.datetimes import DatetimeIndex
-from pandas.core.indexes.timedeltas import TimedeltaIndex
+from pandas.core.indexes.datetimes import (
+    DatetimeIndex,
+)
+from pandas.core.indexes.timedeltas import (
+    TimedeltaIndex,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -82,7 +94,9 @@ def _get_values(self):
         )
 
     def _delegate_property_get(self, name):
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         values = self._get_values()
 
@@ -120,7 +134,9 @@ def _delegate_property_set(self, name, value, *args, **kwargs):
         )
 
     def _delegate_method(self, name, *args, **kwargs):
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         values = self._get_values()
 
@@ -210,7 +226,9 @@ def _delegate_method(self, name: str, *args, **kwargs):
         return result
 
     def isocalendar(self):
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         result = (
             cast(ArrowExtensionArray, self._parent.array)
diff --git a/pandas/core/indexes/api.py b/pandas/core/indexes/api.py
index fcf529f5be9ac..4b5c55aa9c8a3 100644
--- a/pandas/core/indexes/api.py
+++ b/pandas/core/indexes/api.py
@@ -1,7 +1,11 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import textwrap
-from typing import cast
+from typing import (
+    cast,
+)
 
 import numpy as np
 
@@ -9,12 +13,20 @@
     NaT,
     lib,
 )
-from pandas._typing import Axis
-from pandas.errors import InvalidIndexError
+from pandas._typing import (
+    Axis,
+)
+from pandas.errors import (
+    InvalidIndexError,
+)
 
-from pandas.core.dtypes.cast import find_common_type
+from pandas.core.dtypes.cast import (
+    find_common_type,
+)
 
-from pandas.core.algorithms import safe_sort
+from pandas.core.algorithms import (
+    safe_sort,
+)
 from pandas.core.indexes.base import (
     Index,
     _new_Index,
@@ -22,13 +34,27 @@
     ensure_index_from_sequences,
     get_unanimous_names,
 )
-from pandas.core.indexes.category import CategoricalIndex
-from pandas.core.indexes.datetimes import DatetimeIndex
-from pandas.core.indexes.interval import IntervalIndex
-from pandas.core.indexes.multi import MultiIndex
-from pandas.core.indexes.period import PeriodIndex
-from pandas.core.indexes.range import RangeIndex
-from pandas.core.indexes.timedeltas import TimedeltaIndex
+from pandas.core.indexes.category import (
+    CategoricalIndex,
+)
+from pandas.core.indexes.datetimes import (
+    DatetimeIndex,
+)
+from pandas.core.indexes.interval import (
+    IntervalIndex,
+)
+from pandas.core.indexes.multi import (
+    MultiIndex,
+)
+from pandas.core.indexes.period import (
+    PeriodIndex,
+)
+from pandas.core.indexes.range import (
+    RangeIndex,
+)
+from pandas.core.indexes.timedeltas import (
+    TimedeltaIndex,
+)
 
 _sort_msg = textwrap.dedent(
     """\
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index acebe8a498f03..dd076a2c6086c 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -1,8 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import functools
-from itertools import zip_longest
+from itertools import (
+    zip_longest,
+)
 import operator
 from typing import (
     TYPE_CHECKING,
@@ -23,7 +29,9 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._libs import (
     NaT,
@@ -36,7 +44,9 @@
     is_datetime_array,
     no_default,
 )
-from pandas._libs.missing import is_float_nan
+from pandas._libs.missing import (
+    is_float_nan,
+)
 from pandas._libs.tslibs import (
     IncompatibleFrequency,
     OutOfBoundsDatetime,
@@ -58,7 +68,9 @@
     Shape,
     npt,
 )
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.errors import (
     DuplicateLabelError,
     InvalidIndexError,
@@ -73,7 +85,9 @@
     rewrite_exception,
 )
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 from pandas.core.dtypes.cast import (
     LossySetitemError,
     can_hold_element,
@@ -110,7 +124,9 @@
     pandas_dtype,
     validate_all_hashable,
 )
-from pandas.core.dtypes.concat import concat_compat
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
     DatetimeTZDtype,
@@ -126,7 +142,9 @@
     ABCSeries,
     ABCTimedeltaIndex,
 )
-from pandas.core.dtypes.inference import is_dict_like
+from pandas.core.dtypes.inference import (
+    is_dict_like,
+)
 from pandas.core.dtypes.missing import (
     array_equivalent,
     is_valid_na_for_dtype,
@@ -137,7 +155,9 @@
     arraylike,
     ops,
 )
-from pandas.core.accessor import CachedAccessor
+from pandas.core.accessor import (
+    CachedAccessor,
+)
 import pandas.core.algorithms as algos
 from pandas.core.array_algos.putmask import (
     setitem_datetimelike_compat,
@@ -149,7 +169,9 @@
     Categorical,
     ExtensionArray,
 )
-from pandas.core.arrays.string_ import StringArray
+from pandas.core.arrays.string_ import (
+    StringArray,
+)
 from pandas.core.base import (
     IndexOpsMixin,
     PandasObject,
@@ -160,17 +182,29 @@
     extract_array,
     sanitize_array,
 )
-from pandas.core.indexers import disallow_ndim_indexing
-from pandas.core.indexes.frozen import FrozenList
-from pandas.core.missing import clean_reindex_fill_method
-from pandas.core.ops import get_op_result_name
-from pandas.core.ops.invalid import make_invalid_op
+from pandas.core.indexers import (
+    disallow_ndim_indexing,
+)
+from pandas.core.indexes.frozen import (
+    FrozenList,
+)
+from pandas.core.missing import (
+    clean_reindex_fill_method,
+)
+from pandas.core.ops import (
+    get_op_result_name,
+)
+from pandas.core.ops.invalid import (
+    make_invalid_op,
+)
 from pandas.core.sorting import (
     ensure_key_mapped,
     get_group_index_sorter,
     nargsort,
 )
-from pandas.core.strings.accessor import StringMethods
+from pandas.core.strings.accessor import (
+    StringMethods,
+)
 
 from pandas.io.formats.printing import (
     PrettyDict,
@@ -186,7 +220,9 @@
         MultiIndex,
         Series,
     )
-    from pandas.core.arrays import PeriodArray
+    from pandas.core.arrays import (
+        PeriodArray,
+    )
 
 
 __all__ = ["Index"]
@@ -273,7 +309,9 @@ def _new_Index(cls, d):
     # required for backward compat, because PI can't be instantiated with
     # ordinals through __new__ GH #13277
     if issubclass(cls, ABCPeriodIndex):
-        from pandas.core.indexes.period import _new_PeriodIndex
+        from pandas.core.indexes.period import (
+            _new_PeriodIndex,
+        )
 
         return _new_PeriodIndex(cls, **d)
 
@@ -468,7 +506,9 @@ def __new__(
         name=None,
         tupleize_cols: bool = True,
     ) -> Index:
-        from pandas.core.indexes.range import RangeIndex
+        from pandas.core.indexes.range import (
+            RangeIndex,
+        )
 
         name = maybe_extract_name(name, data, cls)
 
@@ -520,7 +560,9 @@ def __new__(
                 if data and all(isinstance(e, tuple) for e in data):
                     # we must be all tuples, otherwise don't construct
                     # 10697
-                    from pandas.core.indexes.multi import MultiIndex
+                    from pandas.core.indexes.multi import (
+                        MultiIndex,
+                    )
 
                     return MultiIndex.from_tuples(data, names=name)
             # other iterable of some kind
@@ -577,31 +619,43 @@ def _dtype_to_subclass(cls, dtype: DtypeObj):
 
         if isinstance(dtype, ExtensionDtype):
             if isinstance(dtype, DatetimeTZDtype):
-                from pandas import DatetimeIndex
+                from pandas import (
+                    DatetimeIndex,
+                )
 
                 return DatetimeIndex
             elif isinstance(dtype, CategoricalDtype):
-                from pandas import CategoricalIndex
+                from pandas import (
+                    CategoricalIndex,
+                )
 
                 return CategoricalIndex
             elif isinstance(dtype, IntervalDtype):
-                from pandas import IntervalIndex
+                from pandas import (
+                    IntervalIndex,
+                )
 
                 return IntervalIndex
             elif isinstance(dtype, PeriodDtype):
-                from pandas import PeriodIndex
+                from pandas import (
+                    PeriodIndex,
+                )
 
                 return PeriodIndex
 
             return Index
 
         if dtype.kind == "M":
-            from pandas import DatetimeIndex
+            from pandas import (
+                DatetimeIndex,
+            )
 
             return DatetimeIndex
 
         elif dtype.kind == "m":
-            from pandas import TimedeltaIndex
+            from pandas import (
+                TimedeltaIndex,
+            )
 
             return TimedeltaIndex
 
@@ -707,7 +761,9 @@ def _format_duplicate_message(self) -> DataFrame:
         label
         a        [0, 2]
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         duplicates = self[self.duplicated(keep="first")].unique()
         assert len(duplicates)
@@ -1318,7 +1374,9 @@ def format(
         return self._format_with_header(header, na_rep=na_rep)
 
     def _format_with_header(self, header: list[str_t], na_rep: str_t) -> list[str_t]:
-        from pandas.io.formats.format import format_array
+        from pandas.io.formats.format import (
+            format_array,
+        )
 
         values = self._values
 
@@ -1350,7 +1408,9 @@ def _format_native_types(
         """
         Actually format specific types of the index.
         """
-        from pandas.io.formats.format import FloatArrayFormatter
+        from pandas.io.formats.format import (
+            FloatArrayFormatter,
+        )
 
         if is_float_dtype(self.dtype) and not is_extension_array_dtype(self.dtype):
             formatter = FloatArrayFormatter(
@@ -1483,7 +1543,9 @@ def to_series(self, index=None, name: Hashable = None) -> Series:
         Cow      Cow
         Name: zoo, dtype: object
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         if index is None:
             index = self._view()
@@ -1543,7 +1605,9 @@ def to_frame(
         1  Bear
         2   Cow
         """
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         if name is lib.no_default:
             name = self._get_level_names()
@@ -1582,7 +1646,9 @@ def _validate_names(
         Handles the quirks of having a singular 'name' parameter for general
         Index and plural 'names' parameter for MultiIndex.
         """
-        from copy import deepcopy
+        from copy import (
+            deepcopy,
+        )
 
         if names is not None and name is not None:
             raise TypeError("Can only provide one of `names` and `name`")
@@ -1625,7 +1691,9 @@ def _get_default_index_names(
         TypeError
             if names not str or list-like
         """
-        from pandas.core.indexes.multi import MultiIndex
+        from pandas.core.indexes.multi import (
+            MultiIndex,
+        )
 
         if names is not None:
             if isinstance(names, (int, str)):
@@ -2069,7 +2137,9 @@ def _drop_level_numbers(self, levnums: list[int]):
 
             return result
         else:
-            from pandas.core.indexes.multi import MultiIndex
+            from pandas.core.indexes.multi import (
+                MultiIndex,
+            )
 
             return MultiIndex(
                 levels=new_levels,
@@ -4538,8 +4608,12 @@ def _join_via_get_indexer(
 
     @final
     def _join_multi(self, other: Index, how: JoinHow):
-        from pandas.core.indexes.multi import MultiIndex
-        from pandas.core.reshape.merge import restore_dropped_levels_multijoin
+        from pandas.core.indexes.multi import (
+            MultiIndex,
+        )
+        from pandas.core.reshape.merge import (
+            restore_dropped_levels_multijoin,
+        )
 
         # figure out join names
         self_names_list = list(com.not_none(*self.names))
@@ -4622,7 +4696,9 @@ def _join_multi(self, other: Index, how: JoinHow):
     def _join_non_unique(
         self, other: Index, how: JoinHow = "left"
     ) -> tuple[Index, npt.NDArray[np.intp], npt.NDArray[np.intp]]:
-        from pandas.core.reshape.merge import get_join_indexers
+        from pandas.core.reshape.merge import (
+            get_join_indexers,
+        )
 
         # We only get here if dtypes match
         assert self.dtype == other.dtype
@@ -4650,7 +4726,9 @@ def _join_level(
         MultiIndex will not be changed; otherwise, it will tie out
         with `other`.
         """
-        from pandas.core.indexes.multi import MultiIndex
+        from pandas.core.indexes.multi import (
+            MultiIndex,
+        )
 
         def _get_leaf_sorter(labels: list[np.ndarray]) -> npt.NDArray[np.intp]:
             """
@@ -4905,7 +4983,9 @@ def values(self) -> ArrayLike:
     def array(self) -> ExtensionArray:
         array = self._data
         if isinstance(array, np.ndarray):
-            from pandas.core.arrays.numpy_ import PandasArray
+            from pandas.core.arrays.numpy_ import (
+                PandasArray,
+            )
 
             array = PandasArray(array)
         return array
@@ -6128,7 +6208,9 @@ def map(self, mapper, na_action=None):
             If the function returns a tuple with more than one element
             a MultiIndex will be returned.
         """
-        from pandas.core.indexes.multi import MultiIndex
+        from pandas.core.indexes.multi import (
+            MultiIndex,
+        )
 
         new_values = self._map_values(mapper, na_action=na_action)
 
@@ -7027,7 +7109,9 @@ def ensure_index_from_sequences(sequences, names=None) -> Index:
     --------
     ensure_index
     """
-    from pandas.core.indexes.multi import MultiIndex
+    from pandas.core.indexes.multi import (
+        MultiIndex,
+    )
 
     if len(sequences) == 1:
         if names is not None:
@@ -7087,7 +7171,9 @@ def ensure_index(index_like: Axes, copy: bool = False) -> Index:
             index_like = list(index_like)
 
         if len(index_like) and lib.is_all_arraylike(index_like):
-            from pandas.core.indexes.multi import MultiIndex
+            from pandas.core.indexes.multi import (
+                MultiIndex,
+            )
 
             return MultiIndex.from_arrays(index_like)
         else:
diff --git a/pandas/core/indexes/category.py b/pandas/core/indexes/category.py
index 51ff92560fe5f..d9a2aaf0663d2 100644
--- a/pandas/core/indexes/category.py
+++ b/pandas/core/indexes/category.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
@@ -7,7 +9,9 @@
 
 import numpy as np
 
-from pandas._libs import index as libindex
+from pandas._libs import (
+    index as libindex,
+)
 from pandas._typing import (
     Dtype,
     DtypeObj,
@@ -32,7 +36,9 @@
     Categorical,
     contains,
 )
-from pandas.core.construction import extract_array
+from pandas.core.construction import (
+    extract_array,
+)
 import pandas.core.indexes.base as ibase
 from pandas.core.indexes.base import (
     Index,
@@ -43,7 +49,9 @@
     inherit_names,
 )
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 _index_doc_kwargs: dict[str, str] = dict(ibase._index_doc_kwargs)
 _index_doc_kwargs.update({"target_klass": "CategoricalIndex"})
@@ -478,7 +486,9 @@ def _concat(self, to_concat: list[Index], name: Hashable) -> Index:
             )
         except TypeError:
             # not all to_concat elements are among our categories (or NA)
-            from pandas.core.dtypes.concat import concat_compat
+            from pandas.core.dtypes.concat import (
+                concat_compat,
+            )
 
             res = concat_compat([x._values for x in to_concat])
             return Index(res, name=name)
diff --git a/pandas/core/indexes/datetimelike.py b/pandas/core/indexes/datetimelike.py
index 9237423fb03b4..519f9ce56bb17 100644
--- a/pandas/core/indexes/datetimelike.py
+++ b/pandas/core/indexes/datetimelike.py
@@ -1,13 +1,17 @@
 """
 Base and utility classes for tseries type pandas objects.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
     abstractmethod,
 )
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -36,8 +40,12 @@
     Axis,
     npt,
 )
-from pandas.compat.numpy import function as nv
-from pandas.errors import NullFrequencyError
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.errors import (
+    NullFrequencyError,
+)
 from pandas.util._decorators import (
     Appender,
     cache_readonly,
@@ -50,7 +58,9 @@
     is_integer,
     is_list_like,
 )
-from pandas.core.dtypes.concat import concat_compat
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
 
 from pandas.core.arrays import (
     DatetimeArray,
@@ -58,19 +68,29 @@
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
+from pandas.core.arrays.datetimelike import (
+    DatetimeLikeArrayMixin,
+)
 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.extension import NDArrayBackedExtensionIndex
-from pandas.core.indexes.range import RangeIndex
-from pandas.core.tools.timedeltas import to_timedelta
+from pandas.core.indexes.extension import (
+    NDArrayBackedExtensionIndex,
+)
+from pandas.core.indexes.range import (
+    RangeIndex,
+)
+from pandas.core.tools.timedeltas import (
+    to_timedelta,
+)
 
 if TYPE_CHECKING:
-    from pandas import CategoricalIndex
+    from pandas import (
+        CategoricalIndex,
+    )
 
 _index_doc_kwargs = dict(ibase._index_doc_kwargs)
 
diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 096e501c7bd6e..1e0374b27c6e3 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import datetime as dt
 import operator
@@ -24,7 +26,9 @@
     timezones,
     to_offset,
 )
-from pandas._libs.tslibs.offsets import prefix_mapping
+from pandas._libs.tslibs.offsets import (
+    prefix_mapping,
+)
 from pandas._typing import (
     Dtype,
     DtypeObj,
@@ -44,7 +48,9 @@
     is_datetime64tz_dtype,
     is_scalar,
 )
-from pandas.core.dtypes.missing import is_valid_na_for_dtype
+from pandas.core.dtypes.missing import (
+    is_valid_na_for_dtype,
+)
 
 from pandas.core.arrays.datetimes import (
     DatetimeArray,
@@ -55,9 +61,15 @@
     Index,
     maybe_extract_name,
 )
-from pandas.core.indexes.datetimelike import DatetimeTimedeltaMixin
-from pandas.core.indexes.extension import inherit_names
-from pandas.core.tools.times import to_time
+from pandas.core.indexes.datetimelike import (
+    DatetimeTimedeltaMixin,
+)
+from pandas.core.indexes.extension import (
+    inherit_names,
+)
+from pandas.core.tools.times import (
+    to_time,
+)
 
 if TYPE_CHECKING:
     from pandas.core.api import (
@@ -280,7 +292,9 @@ def tz_localize(
 
     @doc(DatetimeArray.to_period)
     def to_period(self, freq=None) -> PeriodIndex:
-        from pandas.core.indexes.api import PeriodIndex
+        from pandas.core.indexes.api import (
+            PeriodIndex,
+        )
 
         arr = self._data.to_period(freq)
         return PeriodIndex._simple_new(arr, name=self.name)
@@ -360,7 +374,9 @@ def _is_dates_only(self) -> bool:
         -------
         bool
         """
-        from pandas.io.formats.format import is_dates_only
+        from pandas.io.formats.format import (
+            is_dates_only,
+        )
 
         # error: Argument 1 to "is_dates_only" has incompatible type
         # "Union[ExtensionArray, ndarray]"; expected "Union[ndarray,
@@ -386,7 +402,9 @@ def _is_comparable_dtype(self, dtype: DtypeObj) -> bool:
 
     @property
     def _formatter_func(self):
-        from pandas.io.formats.format import get_format_datetime64
+        from pandas.io.formats.format import (
+            get_format_datetime64,
+        )
 
         formatter = get_format_datetime64(is_dates_only_=self._is_dates_only)
         return lambda x: f"'{formatter(x)}'"
@@ -687,7 +705,9 @@ def indexer_at_time(self, time, asof: bool = False) -> npt.NDArray[np.intp]:
             raise NotImplementedError("'asof' argument is not supported")
 
         if isinstance(time, str):
-            from dateutil.parser import parse
+            from dateutil.parser import (
+                parse,
+            )
 
             time = parse(time).time()
 
diff --git a/pandas/core/indexes/extension.py b/pandas/core/indexes/extension.py
index 81d502b60d609..e4e25924cffb5 100644
--- a/pandas/core/indexes/extension.py
+++ b/pandas/core/indexes/extension.py
@@ -1,7 +1,9 @@
 """
 Shared methods for Index subclasses backed by ExtensionArray.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -20,13 +22,21 @@
     doc,
 )
 
-from pandas.core.dtypes.generic import ABCDataFrame
+from pandas.core.dtypes.generic import (
+    ABCDataFrame,
+)
 
-from pandas.core.indexes.base import Index
+from pandas.core.indexes.base import (
+    Index,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.arrays import IntervalArray
-    from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
+    from pandas.core.arrays import (
+        IntervalArray,
+    )
+    from pandas.core.arrays._mixins import (
+        NDArrayBackedExtensionArray,
+    )
 
 _T = TypeVar("_T", bound="NDArrayBackedExtensionIndex")
 _ExtensionIndexT = TypeVar("_ExtensionIndexT", bound="ExtensionIndex")
diff --git a/pandas/core/indexes/frozen.py b/pandas/core/indexes/frozen.py
index 3b8aefdbeb879..ca24769868bca 100644
--- a/pandas/core/indexes/frozen.py
+++ b/pandas/core/indexes/frozen.py
@@ -6,16 +6,22 @@
 - .names (FrozenList)
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
     NoReturn,
 )
 
-from pandas.core.base import PandasObject
+from pandas.core.base import (
+    PandasObject,
+)
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 class FrozenList(PandasObject, list):
diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 47a7e59ba0229..dce2384de5b1a 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -1,5 +1,7 @@
 """ define the IntervalIndex """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from operator import (
     le,
@@ -14,7 +16,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.interval import (
     Interval,
     IntervalMixin,
@@ -32,12 +36,16 @@
     IntervalClosedType,
     npt,
 )
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 from pandas.util._decorators import (
     Appender,
     cache_readonly,
 )
-from pandas.util._exceptions import rewrite_exception
+from pandas.util._exceptions import (
+    rewrite_exception,
+)
 
 from pandas.core.dtypes.cast import (
     find_common_type,
@@ -61,16 +69,24 @@
     is_object_dtype,
     is_scalar,
 )
-from pandas.core.dtypes.dtypes import IntervalDtype
-from pandas.core.dtypes.missing import is_valid_na_for_dtype
+from pandas.core.dtypes.dtypes import (
+    IntervalDtype,
+)
+from pandas.core.dtypes.missing import (
+    is_valid_na_for_dtype,
+)
 
-from pandas.core.algorithms import unique
+from pandas.core.algorithms import (
+    unique,
+)
 from pandas.core.arrays.interval import (
     IntervalArray,
     _interval_shared_docs,
 )
 import pandas.core.common as com
-from pandas.core.indexers import is_valid_positional_slice
+from pandas.core.indexers import (
+    is_valid_positional_slice,
+)
 import pandas.core.indexes.base as ibase
 from pandas.core.indexes.base import (
     Index,
@@ -86,7 +102,9 @@
     ExtensionIndex,
     inherit_names,
 )
-from pandas.core.indexes.multi import MultiIndex
+from pandas.core.indexes.multi import (
+    MultiIndex,
+)
 from pandas.core.indexes.timedeltas import (
     TimedeltaIndex,
     timedelta_range,
diff --git a/pandas/core/indexes/multi.py b/pandas/core/indexes/multi.py
index b381752818ba0..bf9deebee414f 100644
--- a/pandas/core/indexes/multi.py
+++ b/pandas/core/indexes/multi.py
@@ -1,7 +1,13 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import wraps
-from sys import getsizeof
+from functools import (
+    wraps,
+)
+from sys import (
+    getsizeof,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -19,14 +25,18 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._libs import (
     algos as libalgos,
     index as libindex,
     lib,
 )
-from pandas._libs.hashtable import duplicated
+from pandas._libs.hashtable import (
+    duplicated,
+)
 from pandas._typing import (
     AnyAll,
     AnyArrayLike,
@@ -40,7 +50,9 @@
     Shape,
     npt,
 )
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.errors import (
     InvalidIndexError,
     PerformanceWarning,
@@ -51,9 +63,13 @@
     cache_readonly,
     doc,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.cast import coerce_indexer_dtype
+from pandas.core.dtypes.cast import (
+    coerce_indexer_dtype,
+)
 from pandas.core.dtypes.common import (
     ensure_int64,
     ensure_platform_int,
@@ -67,7 +83,9 @@
     is_scalar,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCDatetimeIndex,
@@ -79,9 +97,15 @@
 )
 
 import pandas.core.algorithms as algos
-from pandas.core.array_algos.putmask import validate_putmask
-from pandas.core.arrays import Categorical
-from pandas.core.arrays.categorical import factorize_from_iterables
+from pandas.core.array_algos.putmask import (
+    validate_putmask,
+)
+from pandas.core.arrays import (
+    Categorical,
+)
+from pandas.core.arrays.categorical import (
+    factorize_from_iterables,
+)
 import pandas.core.common as com
 import pandas.core.indexes.base as ibase
 from pandas.core.indexes.base import (
@@ -90,15 +114,21 @@
     ensure_index,
     get_unanimous_names,
 )
-from pandas.core.indexes.frozen import FrozenList
-from pandas.core.ops.invalid import make_invalid_op
+from pandas.core.indexes.frozen import (
+    FrozenList,
+)
+from pandas.core.ops.invalid import (
+    make_invalid_op,
+)
 from pandas.core.sorting import (
     get_group_index,
     indexer_from_factorized,
     lexsort_indexer,
 )
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -640,7 +670,9 @@ def from_product(
                     (2, 'purple')],
                    names=['number', 'color'])
         """
-        from pandas.core.reshape.util import cartesian_product
+        from pandas.core.reshape.util import (
+            cartesian_product,
+        )
 
         if not is_list_like(iterables):
             raise TypeError("Input must be a list / sequence of iterables.")
@@ -771,7 +803,9 @@ def dtypes(self) -> Series:
         """
         Return the dtypes as a Series for the underlying MultiIndex.
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         names = com.fill_missing_names([level.name for level in self.levels])
         return Series([level.dtype for level in self.levels], index=Index(names))
@@ -1180,7 +1214,9 @@ def copy(  # type: ignore[override]
         levels, codes = None, None
 
         if deep:
-            from copy import deepcopy
+            from copy import (
+                deepcopy,
+            )
 
             levels = deepcopy(self.levels)
             codes = deepcopy(self.codes)
@@ -1379,7 +1415,9 @@ def format(
             )
 
         if adjoin:
-            from pandas.io.formats.format import get_adjustment
+            from pandas.io.formats.format import (
+                get_adjustment,
+            )
 
             adj = get_adjustment()
             return adj.adjoin(space, *result_levels).split("\n")
@@ -1721,7 +1759,9 @@ def to_frame(
         a c  a  c
         b d  b  d
         """
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         if name is not lib.no_default:
             if not is_list_like(name):
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 2d4f0736e30fa..63468cb66985a 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -1,14 +1,20 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
     timedelta,
 )
-from typing import Hashable
+from typing import (
+    Hashable,
+)
 
 import numpy as np
 
-from pandas._libs import index as libindex
+from pandas._libs import (
+    index as libindex,
+)
 from pandas._libs.tslibs import (
     BaseOffset,
     NaT,
@@ -26,9 +32,15 @@
     doc,
 )
 
-from pandas.core.dtypes.common import is_integer
-from pandas.core.dtypes.dtypes import PeriodDtype
-from pandas.core.dtypes.missing import is_valid_na_for_dtype
+from pandas.core.dtypes.common import (
+    is_integer,
+)
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
+from pandas.core.dtypes.missing import (
+    is_valid_na_for_dtype,
+)
 
 from pandas.core.arrays.period import (
     PeriodArray,
@@ -38,13 +50,19 @@
 )
 import pandas.core.common as com
 import pandas.core.indexes.base as ibase
-from pandas.core.indexes.base import maybe_extract_name
-from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin
+from pandas.core.indexes.base import (
+    maybe_extract_name,
+)
+from pandas.core.indexes.datetimelike import (
+    DatetimeIndexOpsMixin,
+)
 from pandas.core.indexes.datetimes import (
     DatetimeIndex,
     Index,
 )
-from pandas.core.indexes.extension import inherit_names
+from pandas.core.indexes.extension import (
+    inherit_names,
+)
 
 _index_doc_kwargs = dict(ibase._index_doc_kwargs)
 _index_doc_kwargs.update({"target_klass": "PeriodIndex or list of Periods"})
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index 0be539a9c3216..e7576cae0ffe3 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -1,8 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import operator
-from sys import getsizeof
+from sys import (
+    getsizeof,
+)
 from typing import (
     Any,
     Callable,
@@ -18,13 +24,19 @@
     index as libindex,
     lib,
 )
-from pandas._libs.algos import unique_deltas
-from pandas._libs.lib import no_default
+from pandas._libs.algos import (
+    unique_deltas,
+)
+from pandas._libs.lib import (
+    no_default,
+)
 from pandas._typing import (
     Dtype,
     npt,
 )
-from pandas.compat.numpy import function as nv
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.util._decorators import (
     cache_readonly,
     doc,
@@ -39,17 +51,25 @@
     is_signed_integer_dtype,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.generic import ABCTimedeltaIndex
+from pandas.core.dtypes.generic import (
+    ABCTimedeltaIndex,
+)
 
-from pandas.core import ops
+from pandas.core import (
+    ops,
+)
 import pandas.core.common as com
-from pandas.core.construction import extract_array
+from pandas.core.construction import (
+    extract_array,
+)
 import pandas.core.indexes.base as ibase
 from pandas.core.indexes.base import (
     Index,
     maybe_extract_name,
 )
-from pandas.core.ops.common import unpack_zerodim_and_defer
+from pandas.core.ops.common import (
+    unpack_zerodim_and_defer,
+)
 
 _empty_range = range(0)
 
diff --git a/pandas/core/indexes/timedeltas.py b/pandas/core/indexes/timedeltas.py
index e7ea54df62411..0be8fd3c1fe56 100644
--- a/pandas/core/indexes/timedeltas.py
+++ b/pandas/core/indexes/timedeltas.py
@@ -1,5 +1,7 @@
 """ implement the TimedeltaIndex """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from pandas._libs import (
     index as libindex,
@@ -10,7 +12,9 @@
     Timedelta,
     to_offset,
 )
-from pandas._typing import DtypeObj
+from pandas._typing import (
+    DtypeObj,
+)
 
 from pandas.core.dtypes.common import (
     is_dtype_equal,
@@ -18,15 +22,23 @@
     is_timedelta64_dtype,
 )
 
-from pandas.core.arrays import datetimelike as dtl
-from pandas.core.arrays.timedeltas import TimedeltaArray
+from pandas.core.arrays import (
+    datetimelike as dtl,
+)
+from pandas.core.arrays.timedeltas import (
+    TimedeltaArray,
+)
 import pandas.core.common as com
 from pandas.core.indexes.base import (
     Index,
     maybe_extract_name,
 )
-from pandas.core.indexes.datetimelike import DatetimeTimedeltaMixin
-from pandas.core.indexes.extension import inherit_names
+from pandas.core.indexes.datetimelike import (
+    DatetimeTimedeltaMixin,
+)
+from pandas.core.indexes.extension import (
+    inherit_names,
+)
 
 
 @inherit_names(
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index 4c5bc659897d1..df76d31ebc203 100644
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import suppress
+from contextlib import (
+    suppress,
+)
 import sys
 from typing import (
     TYPE_CHECKING,
@@ -13,15 +17,23 @@
 
 import numpy as np
 
-from pandas._config import using_copy_on_write
+from pandas._config import (
+    using_copy_on_write,
+)
 
-from pandas._libs.indexing import NDFrameIndexerBase
-from pandas._libs.lib import item_from_zerodim
+from pandas._libs.indexing import (
+    NDFrameIndexerBase,
+)
+from pandas._libs.lib import (
+    item_from_zerodim,
+)
 from pandas._typing import (
     Axis,
     AxisInt,
 )
-from pandas.compat import PYPY
+from pandas.compat import (
+    PYPY,
+)
 from pandas.errors import (
     AbstractMethodError,
     ChainedAssignmentError,
@@ -30,7 +42,9 @@
     LossySetitemError,
     _chained_assignment_msg,
 )
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas.core.dtypes.cast import (
     can_hold_element,
@@ -49,7 +63,9 @@
     is_scalar,
     is_sequence,
 )
-from pandas.core.dtypes.concat import concat_compat
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
@@ -61,7 +77,9 @@
     na_value_for_dtype,
 )
 
-from pandas.core import algorithms as algos
+from pandas.core import (
+    algorithms as algos,
+)
 import pandas.core.common as com
 from pandas.core.construction import (
     array as pd_array,
@@ -1841,7 +1859,9 @@ def _setitem_with_indexer_split_path(self, indexer, value, name: str):
             raise ValueError(r"Cannot set values with ndim > 2")
 
         if (isinstance(value, ABCSeries) and name != "iloc") or isinstance(value, dict):
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             value = self._align_series(indexer, Series(value))
 
@@ -2029,7 +2049,9 @@ def _setitem_single_block(self, indexer, value, name: str) -> None:
         """
         _setitem_with_indexer for the case when we have a single Block.
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         info_axis = self.obj._info_axis_number
         item_labels = self.obj._get_axis(info_axis)
@@ -2071,7 +2093,9 @@ def _setitem_with_indexer_missing(self, indexer, value):
         """
         Insert new row(s) or column(s) into the Series or DataFrame.
         """
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         # reindex the axis to the new value
         # and set inplace
diff --git a/pandas/core/interchange/buffer.py b/pandas/core/interchange/buffer.py
index 0f62dd00a0f41..b95b7a3af92e4 100644
--- a/pandas/core/interchange/buffer.py
+++ b/pandas/core/interchange/buffer.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
@@ -6,7 +8,9 @@
     Buffer,
     DlpackDeviceType,
 )
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 _NUMPY_HAS_DLPACK = Version(np.__version__) >= Version("1.22.0")
 
diff --git a/pandas/core/interchange/column.py b/pandas/core/interchange/column.py
index d8c6a58e77413..4e40f0b3b9996 100644
--- a/pandas/core/interchange/column.py
+++ b/pandas/core/interchange/column.py
@@ -1,20 +1,34 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Any
+from typing import (
+    Any,
+)
 
 import numpy as np
 
-from pandas._libs.lib import infer_dtype
-from pandas._libs.tslibs import iNaT
-from pandas.errors import NoBufferPresent
-from pandas.util._decorators import cache_readonly
+from pandas._libs.lib import (
+    infer_dtype,
+)
+from pandas._libs.tslibs import (
+    iNaT,
+)
+from pandas.errors import (
+    NoBufferPresent,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
 import pandas as pd
 from pandas.api.types import (
     is_categorical_dtype,
     is_string_dtype,
 )
-from pandas.core.interchange.buffer import PandasBuffer
+from pandas.core.interchange.buffer import (
+    PandasBuffer,
+)
 from pandas.core.interchange.dataframe_protocol import (
     Column,
     ColumnBuffers,
diff --git a/pandas/core/interchange/dataframe.py b/pandas/core/interchange/dataframe.py
index 0de9b130f0aab..fe8a4b2006013 100644
--- a/pandas/core/interchange/dataframe.py
+++ b/pandas/core/interchange/dataframe.py
@@ -1,10 +1,20 @@
-from __future__ import annotations
-
-from collections import abc
-from typing import TYPE_CHECKING
-
-from pandas.core.interchange.column import PandasColumn
-from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrameXchg
+from __future__ import (
+    annotations,
+)
+
+from collections import (
+    abc,
+)
+from typing import (
+    TYPE_CHECKING,
+)
+
+from pandas.core.interchange.column import (
+    PandasColumn,
+)
+from pandas.core.interchange.dataframe_protocol import (
+    DataFrame as DataFrameXchg,
+)
 
 if TYPE_CHECKING:
     from pandas import (
diff --git a/pandas/core/interchange/dataframe_protocol.py b/pandas/core/interchange/dataframe_protocol.py
index d36bda120e33d..b94340ce879f5 100644
--- a/pandas/core/interchange/dataframe_protocol.py
+++ b/pandas/core/interchange/dataframe_protocol.py
@@ -2,7 +2,9 @@
 A verbatim copy (vendored) of the spec from https://github.com/data-apis/dataframe-api
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
diff --git a/pandas/core/interchange/from_dataframe.py b/pandas/core/interchange/from_dataframe.py
index 065387e1acefd..d36af0930d8de 100644
--- a/pandas/core/interchange/from_dataframe.py
+++ b/pandas/core/interchange/from_dataframe.py
@@ -1,13 +1,19 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import ctypes
 import re
-from typing import Any
+from typing import (
+    Any,
+)
 
 import numpy as np
 
 import pandas as pd
-from pandas.core.interchange.column import PandasColumn
+from pandas.core.interchange.column import (
+    PandasColumn,
+)
 from pandas.core.interchange.dataframe_protocol import (
     Buffer,
     Column,
diff --git a/pandas/core/interchange/utils.py b/pandas/core/interchange/utils.py
index aa717d05aecb5..a01606928a7e4 100644
--- a/pandas/core/interchange/utils.py
+++ b/pandas/core/interchange/utils.py
@@ -2,17 +2,23 @@
 Utility functions and objects for implementing the interchange API.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import re
 import typing
 
 import numpy as np
 
-from pandas._typing import DtypeObj
+from pandas._typing import (
+    DtypeObj,
+)
 
 import pandas as pd
-from pandas.api.types import is_datetime64_dtype
+from pandas.api.types import (
+    is_datetime64_dtype,
+)
 
 
 class ArrowCTypes:
diff --git a/pandas/core/internals/__init__.py b/pandas/core/internals/__init__.py
index 0797e62de7a9f..087b8036ee770 100644
--- a/pandas/core/internals/__init__.py
+++ b/pandas/core/internals/__init__.py
@@ -1,4 +1,6 @@
-from pandas.core.internals.api import make_block
+from pandas.core.internals.api import (
+    make_block,
+)
 from pandas.core.internals.array_manager import (
     ArrayManager,
     SingleArrayManager,
@@ -14,7 +16,9 @@
     NumericBlock,
     ObjectBlock,
 )
-from pandas.core.internals.concat import concatenate_managers
+from pandas.core.internals.concat import (
+    concatenate_managers,
+)
 from pandas.core.internals.managers import (
     BlockManager,
     SingleBlockManager,
diff --git a/pandas/core/internals/api.py b/pandas/core/internals/api.py
index 5e03621db2ad7..3515db37f0c9c 100644
--- a/pandas/core/internals/api.py
+++ b/pandas/core/internals/api.py
@@ -6,12 +6,18 @@
 2) Use only functions exposed here (or in core.internals)
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas._libs.internals import BlockPlacement
-from pandas._typing import Dtype
+from pandas._libs.internals import (
+    BlockPlacement,
+)
+from pandas._typing import (
+    Dtype,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64tz_dtype,
@@ -19,8 +25,12 @@
     pandas_dtype,
 )
 
-from pandas.core.arrays import DatetimeArray
-from pandas.core.construction import extract_array
+from pandas.core.arrays import (
+    DatetimeArray,
+)
+from pandas.core.construction import (
+    extract_array,
+)
 from pandas.core.internals.blocks import (
     Block,
     DatetimeTZBlock,
diff --git a/pandas/core/internals/array_manager.py b/pandas/core/internals/array_manager.py
index 87e549ae023ef..555ac5a8bcb28 100644
--- a/pandas/core/internals/array_manager.py
+++ b/pandas/core/internals/array_manager.py
@@ -1,7 +1,9 @@
 """
 Experimental manager based on storing a collection of 1D arrays
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
@@ -25,9 +27,13 @@
     QuantileInterpolation,
     npt,
 )
-from pandas.util._validators import validate_bool_kwarg
+from pandas.util._validators import (
+    validate_bool_kwarg,
+)
 
-from pandas.core.dtypes.astype import astype_array_safe
+from pandas.core.dtypes.astype import (
+    astype_array_safe,
+)
 from pandas.core.dtypes.cast import (
     ensure_dtype_can_hold_na,
     infer_dtype_from_scalar,
@@ -57,15 +63,21 @@
 )
 
 import pandas.core.algorithms as algos
-from pandas.core.array_algos.quantile import quantile_compat
-from pandas.core.array_algos.take import take_1d
+from pandas.core.array_algos.quantile import (
+    quantile_compat,
+)
+from pandas.core.array_algos.take import (
+    take_1d,
+)
 from pandas.core.arrays import (
     DatetimeArray,
     ExtensionArray,
     PandasArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.sparse import SparseDtype
+from pandas.core.arrays.sparse import (
+    SparseDtype,
+)
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
diff --git a/pandas/core/internals/base.py b/pandas/core/internals/base.py
index bb5d7e839a98c..ab2487ee7a889 100644
--- a/pandas/core/internals/base.py
+++ b/pandas/core/internals/base.py
@@ -2,7 +2,9 @@
 Base class for the internal managers. Both BlockManager and ArrayManager
 inherit from this class.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Literal,
@@ -18,14 +20,18 @@
     DtypeObj,
     Shape,
 )
-from pandas.errors import AbstractMethodError
+from pandas.errors import (
+    AbstractMethodError,
+)
 
 from pandas.core.dtypes.cast import (
     find_common_type,
     np_can_hold_element,
 )
 
-from pandas.core.base import PandasObject
+from pandas.core.base import (
+    PandasObject,
+)
 from pandas.core.indexes.api import (
     Index,
     default_index,
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 7a24649fc60af..c16bb5fe6f67e 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import wraps
+from functools import (
+    wraps,
+)
 import re
 from typing import (
     TYPE_CHECKING,
@@ -23,8 +27,12 @@
     BlockPlacement,
     BlockValuesRefs,
 )
-from pandas._libs.missing import NA
-from pandas._libs.tslibs import IncompatibleFrequency
+from pandas._libs.missing import (
+    NA,
+)
+from pandas._libs.tslibs import (
+    IncompatibleFrequency,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -36,9 +44,15 @@
     Shape,
     npt,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import cache_readonly
-from pandas.util._validators import validate_bool_kwarg
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
+from pandas.util._validators import (
+    validate_bool_kwarg,
+)
 
 from pandas.core.dtypes.astype import (
     astype_array_safe,
@@ -79,7 +93,9 @@
     na_value_for_dtype,
 )
 
-from pandas.core import missing
+from pandas.core import (
+    missing,
+)
 import pandas.core.algorithms as algos
 from pandas.core.array_algos.putmask import (
     extract_bool_array,
@@ -88,13 +104,17 @@
     setitem_datetimelike_compat,
     validate_putmask,
 )
-from pandas.core.array_algos.quantile import quantile_compat
+from pandas.core.array_algos.quantile import (
+    quantile_compat,
+)
 from pandas.core.array_algos.replace import (
     compare_or_regex_search,
     replace_regex,
     should_use_regex,
 )
-from pandas.core.array_algos.transforms import shift
+from pandas.core.array_algos.transforms import (
+    shift,
+)
 from pandas.core.arrays import (
     Categorical,
     DatetimeArray,
@@ -104,19 +124,31 @@
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.sparse import SparseDtype
-from pandas.core.base import PandasObject
+from pandas.core.arrays.sparse import (
+    SparseDtype,
+)
+from pandas.core.base import (
+    PandasObject,
+)
 import pandas.core.common as com
-from pandas.core.computation import expressions
+from pandas.core.computation import (
+    expressions,
+)
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
 )
-from pandas.core.indexers import check_setitem_lengths
+from pandas.core.indexers import (
+    check_setitem_lengths,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.api import Index
-    from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
+    from pandas.core.api import (
+        Index,
+    )
+    from pandas.core.arrays._mixins import (
+        NDArrayBackedExtensionArray,
+    )
 
 # comparison is faster than is_object_dtype
 _dtype_obj = np.dtype("object")
@@ -2482,7 +2514,9 @@ def to_native_types(
             values = values.astype(object, copy=False)
             return values
 
-        from pandas.io.formats.format import FloatArrayFormatter
+        from pandas.io.formats.format import (
+            FloatArrayFormatter,
+        )
 
         formatter = FloatArrayFormatter(
             values,
diff --git a/pandas/core/internals/concat.py b/pandas/core/internals/concat.py
index a33ce8fd5c459..7296f53ec2d9b 100644
--- a/pandas/core/internals/concat.py
+++ b/pandas/core/internals/concat.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import copy as cp
 import itertools
@@ -14,7 +16,9 @@
     NaT,
     internals as libinternals,
 )
-from pandas._libs.missing import NA
+from pandas._libs.missing import (
+    NA,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -22,9 +26,13 @@
     Manager,
     Shape,
 )
-from pandas.util._decorators import cache_readonly
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 from pandas.core.dtypes.cast import (
     ensure_dtype_can_hold_na,
     find_common_type,
@@ -35,7 +43,9 @@
     is_scalar,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.concat import concat_compat
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
 from pandas.core.dtypes.dtypes import (
     DatetimeTZDtype,
     ExtensionDtype,
@@ -51,8 +61,12 @@
     DatetimeArray,
     ExtensionArray,
 )
-from pandas.core.arrays.sparse import SparseDtype
-from pandas.core.construction import ensure_wrapped_if_datetimelike
+from pandas.core.arrays.sparse import (
+    SparseDtype,
+)
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
 from pandas.core.internals.array_manager import (
     ArrayManager,
     NullArrayProxy,
@@ -61,11 +75,17 @@
     ensure_block_shape,
     new_block_2d,
 )
-from pandas.core.internals.managers import BlockManager
+from pandas.core.internals.managers import (
+    BlockManager,
+)
 
 if TYPE_CHECKING:
-    from pandas import Index
-    from pandas.core.internals.blocks import Block
+    from pandas import (
+        Index,
+    )
+    from pandas.core.internals.blocks import (
+        Block,
+    )
 
 
 def _concatenate_array_managers(
diff --git a/pandas/core/internals/construction.py b/pandas/core/internals/construction.py
index 4dbdd5e5b77fe..7d2491a7b6751 100644
--- a/pandas/core/internals/construction.py
+++ b/pandas/core/internals/construction.py
@@ -2,9 +2,13 @@
 Functions for preparing various inputs passed to the DataFrame or Series
 constructors before passing them to a BlockManager.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 from typing import (
     Any,
     Hashable,
@@ -12,9 +16,13 @@
 )
 
 import numpy as np
-from numpy import ma
+from numpy import (
+    ma,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
@@ -41,7 +49,9 @@
     is_named_tuple,
     is_object_dtype,
 )
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
@@ -57,7 +67,9 @@
     FloatingArray,
     IntegerArray,
 )
-from pandas.core.arrays.string_ import StringDtype
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
@@ -406,7 +418,9 @@ def dict_to_mgr(
     arrays: Sequence[Any] | Series
 
     if columns is not None:
-        from pandas.core.series import Series
+        from pandas.core.series import (
+            Series,
+        )
 
         arrays = Series(data, index=columns, dtype=object)
         missing = arrays.isna()
@@ -746,7 +760,9 @@ def dataclasses_to_dicts(data):
     [{'x': 1, 'y': 2}, {'x': 2, 'y': 3}]
 
     """
-    from dataclasses import asdict
+    from dataclasses import (
+        asdict,
+    )
 
     return list(map(asdict, data))
 
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 9ecb77ad782b4..9d0845f201011 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import itertools
 from typing import (
@@ -15,14 +17,18 @@
 
 import numpy as np
 
-from pandas._config import using_copy_on_write
+from pandas._config import (
+    using_copy_on_write,
+)
 
 from pandas._libs import (
     algos as libalgos,
     internals as libinternals,
     lib,
 )
-from pandas._libs.internals import BlockPlacement
+from pandas._libs.internals import (
+    BlockPlacement,
+)
 from pandas._typing import (
     ArrayLike,
     AxisInt,
@@ -32,19 +38,31 @@
     npt,
     type_t,
 )
-from pandas.errors import PerformanceWarning
-from pandas.util._decorators import cache_readonly
-from pandas.util._exceptions import find_stack_level
-from pandas.util._validators import validate_bool_kwarg
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
+from pandas.util._validators import (
+    validate_bool_kwarg,
+)
 
-from pandas.core.dtypes.cast import infer_dtype_from_scalar
+from pandas.core.dtypes.cast import (
+    infer_dtype_from_scalar,
+)
 from pandas.core.dtypes.common import (
     ensure_platform_int,
     is_1d_only_ea_dtype,
     is_dtype_equal,
     is_list_like,
 )
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
@@ -55,14 +73,20 @@
 )
 
 import pandas.core.algorithms as algos
-from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
-from pandas.core.arrays.sparse import SparseDtype
+from pandas.core.arrays._mixins import (
+    NDArrayBackedExtensionArray,
+)
+from pandas.core.arrays.sparse import (
+    SparseDtype,
+)
 import pandas.core.common as com
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
 )
-from pandas.core.indexers import maybe_convert_indices
+from pandas.core.indexers import (
+    maybe_convert_indices,
+)
 from pandas.core.indexes.api import (
     Index,
     ensure_index,
diff --git a/pandas/core/internals/ops.py b/pandas/core/internals/ops.py
index 24fc51a96d9df..28aece1737408 100644
--- a/pandas/core/internals/ops.py
+++ b/pandas/core/internals/ops.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -6,13 +8,21 @@
     NamedTuple,
 )
 
-from pandas._typing import ArrayLike
+from pandas._typing import (
+    ArrayLike,
+)
 
 if TYPE_CHECKING:
-    from pandas._libs.internals import BlockPlacement
-
-    from pandas.core.internals.blocks import Block
-    from pandas.core.internals.managers import BlockManager
+    from pandas._libs.internals import (
+        BlockPlacement,
+    )
+
+    from pandas.core.internals.blocks import (
+        Block,
+    )
+    from pandas.core.internals.managers import (
+        BlockManager,
+    )
 
 
 class BlockPairInfo(NamedTuple):
diff --git a/pandas/core/methods/describe.py b/pandas/core/methods/describe.py
index 33afbfe6489a6..2a2b144301b80 100644
--- a/pandas/core/methods/describe.py
+++ b/pandas/core/methods/describe.py
@@ -3,7 +3,9 @@
 
 Method NDFrame.describe() delegates actual execution to function describe_ndframe().
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
@@ -20,13 +22,17 @@
 
 import numpy as np
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 from pandas._typing import (
     DtypeObj,
     NDFrameT,
     npt,
 )
-from pandas.util._validators import validate_percentile
+from pandas.util._validators import (
+    validate_percentile,
+)
 
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -38,9 +44,13 @@
 )
 
 import pandas as pd
-from pandas.core.reshape.concat import concat
+from pandas.core.reshape.concat import (
+    concat,
+)
 
-from pandas.io.formats.format import format_percentiles
+from pandas.io.formats.format import (
+    format_percentiles,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -217,7 +227,9 @@ def describe_numeric_1d(series: Series, percentiles: Sequence[float]) -> Series:
     percentiles : list-like of numbers
         The percentiles to include in the output.
     """
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     formatted_percentiles = format_percentiles(percentiles)
 
@@ -265,7 +277,9 @@ def describe_categorical_1d(
 
     result = [data.count(), count_unique, top, freq]
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     return Series(result, index=names, name=data.name, dtype=dtype)
 
@@ -313,7 +327,9 @@ def describe_timestamp_as_categorical_1d(
         result += [np.nan, np.nan]
         dtype = "object"
 
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     return Series(result, index=names, name=data.name, dtype=dtype)
 
@@ -329,7 +345,9 @@ def describe_timestamp_1d(data: Series, percentiles: Sequence[float]) -> Series:
         The percentiles to include in the output.
     """
     # GH-30164
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     formatted_percentiles = format_percentiles(percentiles)
 
diff --git a/pandas/core/methods/selectn.py b/pandas/core/methods/selectn.py
index 241d55aa663f7..f895354812353 100644
--- a/pandas/core/methods/selectn.py
+++ b/pandas/core/methods/selectn.py
@@ -2,7 +2,9 @@
 Implementation of nlargest and nsmallest.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -14,7 +16,9 @@
 
 import numpy as np
 
-from pandas._libs import algos as libalgos
+from pandas._libs import (
+    algos as libalgos,
+)
 from pandas._typing import (
     DtypeObj,
     IndexLabel,
@@ -28,7 +32,9 @@
     is_numeric_dtype,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.dtypes import BaseMaskedDtype
+from pandas.core.dtypes.dtypes import (
+    BaseMaskedDtype,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -85,7 +91,9 @@ class SelectNSeries(SelectN):
     """
 
     def compute(self, method: str) -> Series:
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         n = self.n
         dtype = self.obj.dtype
@@ -182,7 +190,9 @@ def __init__(self, obj: DataFrame, n: int, keep: str, columns: IndexLabel) -> No
         self.columns = columns
 
     def compute(self, method: str) -> DataFrame:
-        from pandas.core.api import Index
+        from pandas.core.api import (
+            Index,
+        )
 
         n = self.n
         frame = self.obj
diff --git a/pandas/core/methods/to_dict.py b/pandas/core/methods/to_dict.py
index f1cca4fd7ac50..be48c94ad3e25 100644
--- a/pandas/core/methods/to_dict.py
+++ b/pandas/core/methods/to_dict.py
@@ -1,18 +1,30 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Literal
+from typing import (
+    Literal,
+)
 import warnings
 
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.cast import maybe_box_native
+from pandas.core.dtypes.cast import (
+    maybe_box_native,
+)
 from pandas.core.dtypes.common import (
     is_extension_array_dtype,
     is_object_dtype,
 )
 
-from pandas import DataFrame
-from pandas.core import common as com
+from pandas import (
+    DataFrame,
+)
+from pandas.core import (
+    common as com,
+)
 
 
 def to_dict(
diff --git a/pandas/core/missing.py b/pandas/core/missing.py
index 2fb323002292a..a10b66f711c3f 100644
--- a/pandas/core/missing.py
+++ b/pandas/core/missing.py
@@ -1,7 +1,9 @@
 """
 Routines for filling missing data.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from functools import (
     partial,
@@ -27,9 +29,13 @@
     F,
     npt,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
-from pandas.core.dtypes.cast import infer_dtype_from
+from pandas.core.dtypes.cast import (
+    infer_dtype_from,
+)
 from pandas.core.dtypes.common import (
     is_array_like,
     is_numeric_v_string_like,
@@ -43,7 +49,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas import Index
+    from pandas import (
+        Index,
+    )
 
 
 def check_value_size(value, mask: npt.NDArray[np.bool_], length: int):
@@ -503,7 +511,9 @@ def _interpolate_scipy_wrapper(
     """
     extra = f"{method} interpolation requires SciPy."
     import_optional_dependency("scipy", extra=extra)
-    from scipy import interpolate
+    from scipy import (
+        interpolate,
+    )
 
     new_x = np.asarray(new_x)
 
@@ -599,7 +609,9 @@ def _from_derivatives(
     y : scalar or array-like
         The result, of length R or length M or M by R.
     """
-    from scipy import interpolate
+    from scipy import (
+        interpolate,
+    )
 
     # return the method for compat with scipy version & backwards compat
     method = interpolate.BPoly.from_derivatives
@@ -644,7 +656,9 @@ def _akima_interpolate(xi, yi, x, der: int | list[int] | None = 0, axis: AxisInt
         The result, of length R or length M or M by R,
 
     """
-    from scipy import interpolate
+    from scipy import (
+        interpolate,
+    )
 
     P = interpolate.Akima1DInterpolator(xi, yi, axis=axis)
 
@@ -728,7 +742,9 @@ def _cubicspline_interpolate(
             on Wikiversity.
     .. [2] Carl de Boor, "A Practical Guide to Splines", Springer-Verlag, 1978.
     """
-    from scipy import interpolate
+    from scipy import (
+        interpolate,
+    )
 
     P = interpolate.CubicSpline(
         xi, yi, axis=axis, bc_type=bc_type, extrapolate=extrapolate
diff --git a/pandas/core/nanops.py b/pandas/core/nanops.py
index 43e44c7882cca..5d83802285fa2 100644
--- a/pandas/core/nanops.py
+++ b/pandas/core/nanops.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import functools
 import itertools
@@ -12,7 +14,9 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._libs import (
     NaT,
@@ -31,8 +35,12 @@
     Shape,
     npt,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.util._exceptions import find_stack_level
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_any_int_dtype,
@@ -50,14 +58,18 @@
     needs_i8_conversion,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 from pandas.core.dtypes.missing import (
     isna,
     na_value_for_dtype,
     notna,
 )
 
-from pandas.core.construction import extract_array
+from pandas.core.construction import (
+    extract_array,
+)
 
 bn = import_optional_dependency("bottleneck", errors="warn")
 _BOTTLENECK_INSTALLED = bn is not None
@@ -1621,14 +1633,18 @@ def get_corr_func(
     method: CorrelationMethod,
 ) -> Callable[[np.ndarray, np.ndarray], float]:
     if method == "kendall":
-        from scipy.stats import kendalltau
+        from scipy.stats import (
+            kendalltau,
+        )
 
         def func(a, b):
             return kendalltau(a, b)[0]
 
         return func
     elif method == "spearman":
-        from scipy.stats import spearmanr
+        from scipy.stats import (
+            spearmanr,
+        )
 
         def func(a, b):
             return spearmanr(a, b)[0]
diff --git a/pandas/core/ops/__init__.py b/pandas/core/ops/__init__.py
index 64619fdc4b8d4..70363fa11c979 100644
--- a/pandas/core/ops/__init__.py
+++ b/pandas/core/ops/__init__.py
@@ -3,7 +3,9 @@
 
 This is not a public API.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 from typing import (
@@ -13,13 +15,17 @@
 
 import numpy as np
 
-from pandas._libs.ops_dispatch import maybe_dispatch_ufunc_to_dunder_op
+from pandas._libs.ops_dispatch import (
+    maybe_dispatch_ufunc_to_dunder_op,
+)
 from pandas._typing import (
     Axis,
     AxisInt,
     Level,
 )
-from pandas.util._decorators import Appender
+from pandas.util._decorators import (
+    Appender,
+)
 
 from pandas.core.dtypes.common import (
     is_array_like,
@@ -29,7 +35,9 @@
     ABCDataFrame,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 from pandas.core import (
     algorithms,
@@ -52,13 +60,17 @@
     _op_descriptions,
     make_flex_doc,
 )
-from pandas.core.ops.invalid import invalid_comparison
+from pandas.core.ops.invalid import (
+    invalid_comparison,
+)
 from pandas.core.ops.mask_ops import (
     kleene_and,
     kleene_or,
     kleene_xor,
 )
-from pandas.core.ops.methods import add_flex_arithmetic_methods
+from pandas.core.ops.methods import (
+    add_flex_arithmetic_methods,
+)
 from pandas.core.roperator import (
     radd,
     rand_,
diff --git a/pandas/core/ops/array_ops.py b/pandas/core/ops/array_ops.py
index bc05e9a3d7c3f..c4d2b22fcf192 100644
--- a/pandas/core/ops/array_ops.py
+++ b/pandas/core/ops/array_ops.py
@@ -2,12 +2,18 @@
 Functions for arithmetic and comparison operations on NumPy arrays and
 ExtensionArrays.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import datetime
-from functools import partial
+from functools import (
+    partial,
+)
 import operator
-from typing import Any
+from typing import (
+    Any,
+)
 
 import numpy as np
 
@@ -18,7 +24,9 @@
     lib,
     ops as libops,
 )
-from pandas._libs.tslibs import BaseOffset
+from pandas._libs.tslibs import (
+    BaseOffset,
+)
 from pandas._typing import (
     ArrayLike,
     Shape,
@@ -47,14 +55,22 @@
     notna,
 )
 
-from pandas.core.computation import expressions
-from pandas.core.construction import ensure_wrapped_if_datetimelike
+from pandas.core.computation import (
+    expressions,
+)
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
 from pandas.core.ops import (
     missing,
     roperator,
 )
-from pandas.core.ops.dispatch import should_extension_dispatch
-from pandas.core.ops.invalid import invalid_comparison
+from pandas.core.ops.dispatch import (
+    should_extension_dispatch,
+)
+from pandas.core.ops.invalid import (
+    invalid_comparison,
+)
 
 
 def comp_method_OBJECT_ARRAY(op, x, y):
@@ -472,7 +488,9 @@ def maybe_prepare_scalar_for_op(obj, shape: Shape):
         # GH#28080 numpy casts integer-dtype to datetime64 when doing
         #  array[int] + datetime64, which we do not allow
         if isna(obj):
-            from pandas.core.arrays import DatetimeArray
+            from pandas.core.arrays import (
+                DatetimeArray,
+            )
 
             # Avoid possible ambiguities with pd.NaT
             obj = obj.astype("datetime64[ns]")
@@ -483,7 +501,9 @@ def maybe_prepare_scalar_for_op(obj, shape: Shape):
 
     elif isinstance(obj, np.timedelta64):
         if isna(obj):
-            from pandas.core.arrays import TimedeltaArray
+            from pandas.core.arrays import (
+                TimedeltaArray,
+            )
 
             # wrapping timedelta64("NaT") in Timedelta returns NaT,
             #  which would incorrectly be treated as a datetime-NaT, so
diff --git a/pandas/core/ops/common.py b/pandas/core/ops/common.py
index d4ae143372271..2d596fe64568b 100644
--- a/pandas/core/ops/common.py
+++ b/pandas/core/ops/common.py
@@ -1,15 +1,27 @@
 """
 Boilerplate functions used in defining binary operations.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import wraps
+from functools import (
+    wraps,
+)
 import sys
-from typing import Callable
+from typing import (
+    Callable,
+)
 
-from pandas._libs.lib import item_from_zerodim
-from pandas._libs.missing import is_matching_na
-from pandas._typing import F
+from pandas._libs.lib import (
+    item_from_zerodim,
+)
+from pandas._libs.missing import (
+    is_matching_na,
+)
+from pandas._typing import (
+    F,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
diff --git a/pandas/core/ops/dispatch.py b/pandas/core/ops/dispatch.py
index 2f500703ccfb3..c7a33e2e45ec1 100644
--- a/pandas/core/ops/dispatch.py
+++ b/pandas/core/ops/dispatch.py
@@ -1,13 +1,21 @@
 """
 Functions for defining unary operations.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Any
+from typing import (
+    Any,
+)
 
-from pandas._typing import ArrayLike
+from pandas._typing import (
+    ArrayLike,
+)
 
-from pandas.core.dtypes.generic import ABCExtensionArray
+from pandas.core.dtypes.generic import (
+    ABCExtensionArray,
+)
 
 
 def should_extension_dispatch(left: ArrayLike, right: Any) -> bool:
diff --git a/pandas/core/ops/docstrings.py b/pandas/core/ops/docstrings.py
index cdf1c120719e9..6e489893f948e 100644
--- a/pandas/core/ops/docstrings.py
+++ b/pandas/core/ops/docstrings.py
@@ -1,7 +1,9 @@
 """
 Templating for ops docstrings
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 
 def make_flex_doc(op_name: str, typ: str) -> str:
diff --git a/pandas/core/ops/invalid.py b/pandas/core/ops/invalid.py
index eb27cf7450119..845233d8ab02e 100644
--- a/pandas/core/ops/invalid.py
+++ b/pandas/core/ops/invalid.py
@@ -1,7 +1,9 @@
 """
 Templates for invalid operations.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 
diff --git a/pandas/core/ops/mask_ops.py b/pandas/core/ops/mask_ops.py
index adc1f63c568bf..42e4ed916bdfd 100644
--- a/pandas/core/ops/mask_ops.py
+++ b/pandas/core/ops/mask_ops.py
@@ -1,7 +1,9 @@
 """
 Ops for masked arrays.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
diff --git a/pandas/core/ops/methods.py b/pandas/core/ops/methods.py
index be7c1205305e4..5c20560aadd44 100644
--- a/pandas/core/ops/methods.py
+++ b/pandas/core/ops/methods.py
@@ -1,7 +1,9 @@
 """
 Functions to generate methods and pin them to the appropriate classes.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 
@@ -10,7 +12,9 @@
     ABCSeries,
 )
 
-from pandas.core.ops import roperator
+from pandas.core.ops import (
+    roperator,
+)
 
 
 def _get_method_wrappers(cls):
diff --git a/pandas/core/ops/missing.py b/pandas/core/ops/missing.py
index 3ba611c3bd0df..f17f20526fc5b 100644
--- a/pandas/core/ops/missing.py
+++ b/pandas/core/ops/missing.py
@@ -21,7 +21,9 @@
 
     3) divmod behavior consistent with 1) and 2).
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 
@@ -33,7 +35,9 @@
     is_scalar,
 )
 
-from pandas.core.ops import roperator
+from pandas.core.ops import (
+    roperator,
+)
 
 
 def _fill_zeros(result, x, y):
diff --git a/pandas/core/resample.py b/pandas/core/resample.py
index f23256c64db2d..3b3291cf2f17b 100644
--- a/pandas/core/resample.py
+++ b/pandas/core/resample.py
@@ -1,7 +1,11 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import copy
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -15,7 +19,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.tslibs import (
     BaseOffset,
     IncompatibleFrequency,
@@ -39,14 +45,20 @@
     TimestampConvertibleTypes,
     npt,
 )
-from pandas.compat.numpy import function as nv
-from pandas.errors import AbstractMethodError
+from pandas.compat.numpy import (
+    function as nv,
+)
+from pandas.errors import (
+    AbstractMethodError,
+)
 from pandas.util._decorators import (
     Appender,
     Substitution,
     doc,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
@@ -54,22 +66,32 @@
 )
 
 import pandas.core.algorithms as algos
-from pandas.core.apply import ResamplerWindowApply
-from pandas.core.base import PandasObject
+from pandas.core.apply import (
+    ResamplerWindowApply,
+)
+from pandas.core.base import (
+    PandasObject,
+)
 import pandas.core.common as com
 from pandas.core.generic import (
     NDFrame,
     _shared_docs,
 )
-from pandas.core.groupby.generic import SeriesGroupBy
+from pandas.core.groupby.generic import (
+    SeriesGroupBy,
+)
 from pandas.core.groupby.groupby import (
     BaseGroupBy,
     GroupBy,
     _pipe_template,
     get_groupby,
 )
-from pandas.core.groupby.grouper import Grouper
-from pandas.core.groupby.ops import BinGrouper
+from pandas.core.groupby.grouper import (
+    Grouper,
+)
+from pandas.core.groupby.ops import (
+    BinGrouper,
+)
 from pandas.core.indexes.datetimes import (
     DatetimeIndex,
     date_range,
@@ -1085,7 +1107,9 @@ def size(self):
             result = result.stack()
 
         if not len(self.ax):
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             if self._selected_obj.ndim == 1:
                 name = self._selected_obj.name
@@ -1103,7 +1127,9 @@ def count(self):
                     [], index=result.index, dtype="int64", name=self._selected_obj.name
                 )
             else:
-                from pandas import DataFrame
+                from pandas import (
+                    DataFrame,
+                )
 
                 result = DataFrame(
                     [], index=result.index, columns=result.columns, dtype="int64"
diff --git a/pandas/core/reshape/api.py b/pandas/core/reshape/api.py
index b1884c497f0ad..ccf440a1c0c34 100644
--- a/pandas/core/reshape/api.py
+++ b/pandas/core/reshape/api.py
@@ -1,4 +1,6 @@
-from pandas.core.reshape.concat import concat
+from pandas.core.reshape.concat import (
+    concat,
+)
 from pandas.core.reshape.encoding import (
     from_dummies,
     get_dummies,
diff --git a/pandas/core/reshape/concat.py b/pandas/core/reshape/concat.py
index 6758ab9cb6814..6d4f93ed2c0c6 100644
--- a/pandas/core/reshape/concat.py
+++ b/pandas/core/reshape/concat.py
@@ -1,9 +1,13 @@
 """
 Concat routines.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -17,22 +21,32 @@
 
 import numpy as np
 
-from pandas._config import using_copy_on_write
+from pandas._config import (
+    using_copy_on_write,
+)
 
 from pandas._typing import (
     Axis,
     AxisInt,
     HashableT,
 )
-from pandas.util._decorators import cache_readonly
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
-from pandas.core.dtypes.concat import concat_compat
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
 )
-from pandas.core.dtypes.inference import is_bool
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.inference import (
+    is_bool,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 from pandas.core.arrays.categorical import (
     factorize_from_iterable,
@@ -48,14 +62,18 @@
     get_objs_combined_axis,
     get_unanimous_names,
 )
-from pandas.core.internals import concatenate_managers
+from pandas.core.internals import (
+    concatenate_managers,
+)
 
 if TYPE_CHECKING:
     from pandas import (
         DataFrame,
         Series,
     )
-    from pandas.core.generic import NDFrame
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 # ---------------------------------------------------------------------
 # Concatenate DataFrame objects
@@ -491,7 +509,9 @@ def __init__(
 
         # Standardize axis parameter to int
         if isinstance(sample, ABCSeries):
-            from pandas import DataFrame
+            from pandas import (
+                DataFrame,
+            )
 
             axis = DataFrame._get_axis_number(axis)
         else:
diff --git a/pandas/core/reshape/encoding.py b/pandas/core/reshape/encoding.py
index d00fade8a1c6f..365053d905db5 100644
--- a/pandas/core/reshape/encoding.py
+++ b/pandas/core/reshape/encoding.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 import itertools
 from typing import (
     Hashable,
@@ -9,8 +13,12 @@
 
 import numpy as np
 
-from pandas._libs.sparse import IntIndex
-from pandas._typing import NpDtype
+from pandas._libs.sparse import (
+    IntIndex,
+)
+from pandas._typing import (
+    NpDtype,
+)
 
 from pandas.core.dtypes.common import (
     is_integer_dtype,
@@ -19,14 +27,22 @@
     pandas_dtype,
 )
 
-from pandas.core.arrays import SparseArray
-from pandas.core.arrays.categorical import factorize_from_iterable
-from pandas.core.frame import DataFrame
+from pandas.core.arrays import (
+    SparseArray,
+)
+from pandas.core.arrays.categorical import (
+    factorize_from_iterable,
+)
+from pandas.core.frame import (
+    DataFrame,
+)
 from pandas.core.indexes.api import (
     Index,
     default_index,
 )
-from pandas.core.series import Series
+from pandas.core.series import (
+    Series,
+)
 
 
 def get_dummies(
@@ -144,7 +160,9 @@ def get_dummies(
     1  0.0  1.0  0.0
     2  0.0  0.0  1.0
     """
-    from pandas.core.reshape.concat import concat
+    from pandas.core.reshape.concat import (
+        concat,
+    )
 
     dtypes_to_encode = ["object", "string", "category"]
 
@@ -233,7 +251,9 @@ def _get_dummies_1d(
     drop_first: bool = False,
     dtype: NpDtype | None = None,
 ) -> DataFrame:
-    from pandas.core.reshape.concat import concat
+    from pandas.core.reshape.concat import (
+        concat,
+    )
 
     # Series avoids inconsistent NaN handling
     codes, levels = factorize_from_iterable(Series(data))
@@ -444,7 +464,9 @@ def from_dummies(
     1    b       a
     2    d       e
     """
-    from pandas.core.reshape.concat import concat
+    from pandas.core.reshape.concat import (
+        concat,
+    )
 
     if not isinstance(data, DataFrame):
         raise TypeError(
diff --git a/pandas/core/reshape/melt.py b/pandas/core/reshape/melt.py
index 8ed8dd1466475..1164db0383e9d 100644
--- a/pandas/core/reshape/melt.py
+++ b/pandas/core/reshape/melt.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import re
 from typing import (
@@ -8,31 +10,51 @@
 
 import numpy as np
 
-from pandas.util._decorators import Appender
+from pandas.util._decorators import (
+    Appender,
+)
 
 from pandas.core.dtypes.common import (
     is_extension_array_dtype,
     is_list_like,
 )
-from pandas.core.dtypes.concat import concat_compat
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.concat import (
+    concat_compat,
+)
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
 import pandas.core.algorithms as algos
-from pandas.core.arrays import Categorical
+from pandas.core.arrays import (
+    Categorical,
+)
 import pandas.core.common as com
 from pandas.core.indexes.api import (
     Index,
     MultiIndex,
 )
-from pandas.core.reshape.concat import concat
-from pandas.core.reshape.util import tile_compat
-from pandas.core.shared_docs import _shared_docs
-from pandas.core.tools.numeric import to_numeric
+from pandas.core.reshape.concat import (
+    concat,
+)
+from pandas.core.reshape.util import (
+    tile_compat,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
+from pandas.core.tools.numeric import (
+    to_numeric,
+)
 
 if TYPE_CHECKING:
-    from pandas._typing import AnyArrayLike
+    from pandas._typing import (
+        AnyArrayLike,
+    )
 
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 @Appender(_shared_docs["melt"] % {"caller": "pd.melt(df, ", "other": "DataFrame.melt"})
diff --git a/pandas/core/reshape/merge.py b/pandas/core/reshape/merge.py
index 86bf9bf95e1cc..886f75ae03d79 100644
--- a/pandas/core/reshape/merge.py
+++ b/pandas/core/reshape/merge.py
@@ -1,11 +1,15 @@
 """
 SQL-style merge routines
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import copy as cp
 import datetime
-from functools import partial
+from functools import (
+    partial,
+)
 import string
 from typing import (
     TYPE_CHECKING,
@@ -25,7 +29,9 @@
     join as libjoin,
     lib,
 )
-from pandas._libs.lib import is_range_indexer
+from pandas._libs.lib import (
+    is_range_indexer,
+)
 from pandas._typing import (
     AnyArrayLike,
     ArrayLike,
@@ -38,16 +44,24 @@
     Suffixes,
     npt,
 )
-from pandas.errors import MergeError
+from pandas.errors import (
+    MergeError,
+)
 from pandas.util._decorators import (
     Appender,
     Substitution,
     cache_readonly,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.base import ExtensionDtype
-from pandas.core.dtypes.cast import find_common_type
+from pandas.core.dtypes.base import (
+    ExtensionDtype,
+)
+from pandas.core.dtypes.cast import (
+    find_common_type,
+)
 from pandas.core.dtypes.common import (
     ensure_float64,
     ensure_int64,
@@ -67,7 +81,9 @@
     is_object_dtype,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
@@ -88,20 +104,34 @@
     BaseMaskedArray,
     ExtensionArray,
 )
-from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
+from pandas.core.arrays._mixins import (
+    NDArrayBackedExtensionArray,
+)
 import pandas.core.common as com
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
 )
-from pandas.core.frame import _merge_doc
-from pandas.core.indexes.api import default_index
-from pandas.core.sorting import is_int64_overflow_possible
+from pandas.core.frame import (
+    _merge_doc,
+)
+from pandas.core.indexes.api import (
+    default_index,
+)
+from pandas.core.sorting import (
+    is_int64_overflow_possible,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
-    from pandas.core import groupby
-    from pandas.core.arrays import DatetimeArray
+    from pandas import (
+        DataFrame,
+    )
+    from pandas.core import (
+        groupby,
+    )
+    from pandas.core.arrays import (
+        DatetimeArray,
+    )
 
 _factorizers = {
     np.int64: libhashtable.Int64Factorizer,
@@ -204,7 +234,9 @@ def _groupby_and_merge(by, left: DataFrame, right: DataFrame, merge_pieces):
 
     # preserve the original order
     # if we have a missing piece this can be reset
-    from pandas.core.reshape.concat import concat
+    from pandas.core.reshape.concat import (
+        concat,
+    )
 
     result = concat(pieces, ignore_index=True)
     result = result.reindex(columns=pieces[0].columns, copy=False)
@@ -789,7 +821,9 @@ def _reindex_and_concat(
             right = right._constructor(rmgr)
         right.index = join_index
 
-        from pandas import concat
+        from pandas import (
+            concat,
+        )
 
         left.columns = llabels
         right.columns = rlabels
diff --git a/pandas/core/reshape/pivot.py b/pandas/core/reshape/pivot.py
index a919f72c7d220..72d64d5eb2a09 100644
--- a/pandas/core/reshape/pivot.py
+++ b/pandas/core/reshape/pivot.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -10,7 +12,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     AggFuncType,
     AggFuncTypeBase,
@@ -22,7 +26,9 @@
     Substitution,
 )
 
-from pandas.core.dtypes.cast import maybe_downcast_to_dtype
+from pandas.core.dtypes.cast import (
+    maybe_downcast_to_dtype,
+)
 from pandas.core.dtypes.common import (
     is_extension_array_dtype,
     is_integer_dtype,
@@ -36,19 +42,31 @@
 )
 
 import pandas.core.common as com
-from pandas.core.frame import _shared_docs
-from pandas.core.groupby import Grouper
+from pandas.core.frame import (
+    _shared_docs,
+)
+from pandas.core.groupby import (
+    Grouper,
+)
 from pandas.core.indexes.api import (
     Index,
     MultiIndex,
     get_objs_combined_axis,
 )
-from pandas.core.reshape.concat import concat
-from pandas.core.reshape.util import cartesian_product
-from pandas.core.series import Series
+from pandas.core.reshape.concat import (
+    concat,
+)
+from pandas.core.reshape.util import (
+    cartesian_product,
+)
+from pandas.core.series import (
+    Series,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 # Note: We need to make sure `frame` is imported before `pivot`, otherwise
@@ -318,7 +336,9 @@ def _add_margins(
         else:
             row_margin[k] = grand_margin[k[0]]
 
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
     margin_dummy = DataFrame(row_margin, columns=Index([key])).T
 
@@ -387,7 +407,9 @@ def _all_key(key):
                 table_pieces.append(piece)
                 margin_keys.append(all_key)
         else:
-            from pandas import DataFrame
+            from pandas import (
+                DataFrame,
+            )
 
             cat_axis = 0
             for key, piece in table.groupby(level=0, axis=cat_axis, observed=observed):
@@ -693,7 +715,9 @@ def crosstab(
         unique_colnames,
     ) = _build_names_mapper(rownames, colnames)
 
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
     data = {
         **dict(zip(unique_rownames, index)),
diff --git a/pandas/core/reshape/reshape.py b/pandas/core/reshape/reshape.py
index e83317ebc74ce..77d6d580f6e8c 100644
--- a/pandas/core/reshape/reshape.py
+++ b/pandas/core/reshape/reshape.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import itertools
 from typing import (
@@ -10,12 +12,22 @@
 import numpy as np
 
 import pandas._libs.reshape as libreshape
-from pandas._typing import npt
-from pandas.errors import PerformanceWarning
-from pandas.util._decorators import cache_readonly
-from pandas.util._exceptions import find_stack_level
+from pandas._typing import (
+    npt,
+)
+from pandas.errors import (
+    PerformanceWarning,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.cast import maybe_promote
+from pandas.core.dtypes.cast import (
+    maybe_promote,
+)
 from pandas.core.dtypes.common import (
     ensure_platform_int,
     is_1d_only_ea_dtype,
@@ -23,18 +35,30 @@
     is_integer,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.dtypes import ExtensionDtype
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
 import pandas.core.algorithms as algos
-from pandas.core.arrays.categorical import factorize_from_iterable
-from pandas.core.construction import ensure_wrapped_if_datetimelike
-from pandas.core.frame import DataFrame
+from pandas.core.arrays.categorical import (
+    factorize_from_iterable,
+)
+from pandas.core.construction import (
+    ensure_wrapped_if_datetimelike,
+)
+from pandas.core.frame import (
+    DataFrame,
+)
 from pandas.core.indexes.api import (
     Index,
     MultiIndex,
 )
-from pandas.core.series import Series
+from pandas.core.series import (
+    Series,
+)
 from pandas.core.sorting import (
     compress_group_index,
     decons_obs_group_ids,
@@ -44,8 +68,12 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.arrays import ExtensionArray
-    from pandas.core.indexes.frozen import FrozenList
+    from pandas.core.arrays import (
+        ExtensionArray,
+    )
+    from pandas.core.indexes.frozen import (
+        FrozenList,
+    )
 
 
 class _Unstacker:
diff --git a/pandas/core/reshape/tile.py b/pandas/core/reshape/tile.py
index 267abdb8d0104..0df85d3ef4122 100644
--- a/pandas/core/reshape/tile.py
+++ b/pandas/core/reshape/tile.py
@@ -1,7 +1,9 @@
 """
 Quantilization functions and related stuff
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
@@ -15,8 +17,12 @@
     Timedelta,
     Timestamp,
 )
-from pandas._libs.lib import infer_dtype
-from pandas._typing import IntervalLeftRight
+from pandas._libs.lib import (
+    infer_dtype,
+)
+from pandas._typing import (
+    IntervalLeftRight,
+)
 
 from pandas.core.dtypes.common import (
     DT64NS_DTYPE,
@@ -33,8 +39,12 @@
     is_scalar,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.generic import ABCSeries
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.generic import (
+    ABCSeries,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 from pandas import (
     Categorical,
@@ -43,7 +53,9 @@
     to_datetime,
     to_timedelta,
 )
-from pandas.core import nanops
+from pandas.core import (
+    nanops,
+)
 import pandas.core.algorithms as algos
 
 
diff --git a/pandas/core/reshape/util.py b/pandas/core/reshape/util.py
index 1154940f2c4a6..e80b77ae14f75 100644
--- a/pandas/core/reshape/util.py
+++ b/pandas/core/reshape/util.py
@@ -1,10 +1,16 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas._typing import NumpyIndexT
+from pandas._typing import (
+    NumpyIndexT,
+)
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
 
 def cartesian_product(X) -> list[np.ndarray]:
diff --git a/pandas/core/roperator.py b/pandas/core/roperator.py
index 2f320f4e9c6b9..8289d2be4288d 100644
--- a/pandas/core/roperator.py
+++ b/pandas/core/roperator.py
@@ -2,7 +2,9 @@
 Reversed Operations not available in the stdlib operator module.
 Defining these instead of using lambdas allows us to reference them by name.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import operator
 
diff --git a/pandas/core/sample.py b/pandas/core/sample.py
index a9b236b58a9ba..7aeb96d81c0d2 100644
--- a/pandas/core/sample.py
+++ b/pandas/core/sample.py
@@ -1,14 +1,22 @@
 """
 Module containing utilities for NDFrame.sample() and .GroupBy.sample()
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 import numpy as np
 
-from pandas._libs import lib
-from pandas._typing import AxisInt
+from pandas._libs import (
+    lib,
+)
+from pandas._typing import (
+    AxisInt,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
@@ -16,7 +24,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.core.generic import NDFrame
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 
 def preprocess_weights(obj: NDFrame, weights, axis: AxisInt) -> np.ndarray:
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 06e9611c318cd..25fa4820d9742 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -1,10 +1,14 @@
 """
 Data structure for 1-dimensional cross-sectional and time series data
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import sys
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     IO,
     TYPE_CHECKING,
@@ -70,8 +74,12 @@
     WriteBuffer,
     npt,
 )
-from pandas.compat import PYPY
-from pandas.compat.numpy import function as nv
+from pandas.compat import (
+    PYPY,
+)
+from pandas.compat.numpy import (
+    function as nv,
+)
 from pandas.errors import (
     ChainedAssignmentError,
     InvalidIndexError,
@@ -82,7 +90,9 @@
     Substitution,
     doc,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 from pandas.util._validators import (
     validate_ascending,
     validate_bool_kwarg,
@@ -107,8 +117,12 @@
     pandas_dtype,
     validate_all_hashable,
 )
-from pandas.core.dtypes.generic import ABCDataFrame
-from pandas.core.dtypes.inference import is_hashable
+from pandas.core.dtypes.generic import (
+    ABCDataFrame,
+)
+from pandas.core.dtypes.inference import (
+    is_hashable,
+)
 from pandas.core.dtypes.missing import (
     isna,
     na_value_for_dtype,
@@ -124,21 +138,35 @@
     nanops,
     ops,
 )
-from pandas.core.accessor import CachedAccessor
-from pandas.core.apply import SeriesApply
-from pandas.core.arrays import ExtensionArray
-from pandas.core.arrays.categorical import CategoricalAccessor
-from pandas.core.arrays.sparse import SparseAccessor
+from pandas.core.accessor import (
+    CachedAccessor,
+)
+from pandas.core.apply import (
+    SeriesApply,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
+from pandas.core.arrays.categorical import (
+    CategoricalAccessor,
+)
+from pandas.core.arrays.sparse import (
+    SparseAccessor,
+)
 from pandas.core.construction import (
     extract_array,
     sanitize_array,
 )
-from pandas.core.generic import NDFrame
+from pandas.core.generic import (
+    NDFrame,
+)
 from pandas.core.indexers import (
     disallow_ndim_indexing,
     unpack_1tuple,
 )
-from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
+from pandas.core.indexes.accessors import (
+    CombinedDatetimelikeProperties,
+)
 from pandas.core.indexes.api import (
     DatetimeIndex,
     Index,
@@ -148,7 +176,9 @@
     ensure_index,
 )
 import pandas.core.indexes.base as ibase
-from pandas.core.indexes.multi import maybe_droplevels
+from pandas.core.indexes.multi import (
+    maybe_droplevels,
+)
 from pandas.core.indexing import (
     check_bool_indexer,
     check_dict_or_set_indexers,
@@ -157,14 +187,22 @@
     SingleArrayManager,
     SingleBlockManager,
 )
-from pandas.core.methods import selectn
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.methods import (
+    selectn,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 from pandas.core.sorting import (
     ensure_key_mapped,
     nargsort,
 )
-from pandas.core.strings.accessor import StringMethods
-from pandas.core.tools.datetimes import to_datetime
+from pandas.core.strings.accessor import (
+    StringMethods,
+)
+from pandas.core.tools.datetimes import (
+    to_datetime,
+)
 
 import pandas.io.formats.format as fmt
 from pandas.io.formats.info import (
@@ -181,9 +219,15 @@
         Suffixes,
     )
 
-    from pandas.core.frame import DataFrame
-    from pandas.core.groupby.generic import SeriesGroupBy
-    from pandas.core.resample import Resampler
+    from pandas.core.frame import (
+        DataFrame,
+    )
+    from pandas.core.groupby.generic import (
+        SeriesGroupBy,
+    )
+    from pandas.core.resample import (
+        Resampler,
+    )
 
 __all__ = ["Series"]
 
@@ -566,7 +610,9 @@ def _constructor_expanddim(self) -> Callable[..., DataFrame]:
         Used when a manipulation result has one higher dimension as the
         original, such as Series.to_frame()
         """
-        from pandas.core.frame import DataFrame
+        from pandas.core.frame import (
+            DataFrame,
+        )
 
         return DataFrame
 
@@ -1973,7 +2019,9 @@ def groupby(
         observed: bool = False,
         dropna: bool = True,
     ) -> SeriesGroupBy:
-        from pandas.core.groupby.generic import SeriesGroupBy
+        from pandas.core.groupby.generic import (
+            SeriesGroupBy,
+        )
 
         if level is None and by is None:
             raise TypeError("You have to supply one of 'by' and 'level'")
@@ -2948,7 +2996,9 @@ def searchsorted(  # type: ignore[override]
     def _append(
         self, to_append, ignore_index: bool = False, verify_integrity: bool = False
     ):
-        from pandas.core.reshape.concat import concat
+        from pandas.core.reshape.concat import (
+            concat,
+        )
 
         if isinstance(to_append, (list, tuple)):
             to_concat = [self]
@@ -4231,7 +4281,9 @@ def unstack(self, level: IndexLabel = -1, fill_value: Hashable = None) -> DataFr
         a    1    3
         b    2    4
         """
-        from pandas.core.reshape.reshape import unstack
+        from pandas.core.reshape.reshape import (
+            unstack,
+        )
 
         return unstack(self, level, fill_value)
 
diff --git a/pandas/core/shared_docs.py b/pandas/core/shared_docs.py
index 184b77c880238..434efa36424cf 100644
--- a/pandas/core/shared_docs.py
+++ b/pandas/core/shared_docs.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 _shared_docs: dict[str, str] = {}
 
diff --git a/pandas/core/sorting.py b/pandas/core/sorting.py
index 970c9998f5f5d..15695d25a73c3 100644
--- a/pandas/core/sorting.py
+++ b/pandas/core/sorting.py
@@ -1,7 +1,11 @@
 """ miscellaneous sorting / groupby utilities """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -19,7 +23,9 @@
     hashtable,
     lib,
 )
-from pandas._libs.hashtable import unique_label_indices
+from pandas._libs.hashtable import (
+    unique_label_indices,
+)
 from pandas._typing import (
     AxisInt,
     IndexKeyFunc,
@@ -39,14 +45,24 @@
     ABCMultiIndex,
     ABCRangeIndex,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core.construction import extract_array
+from pandas.core.construction import (
+    extract_array,
+)
 
 if TYPE_CHECKING:
-    from pandas import MultiIndex
-    from pandas.core.arrays import ExtensionArray
-    from pandas.core.indexes.base import Index
+    from pandas import (
+        MultiIndex,
+    )
+    from pandas.core.arrays import (
+        ExtensionArray,
+    )
+    from pandas.core.indexes.base import (
+        Index,
+    )
 
 
 def get_indexer_indexer(
@@ -326,7 +342,9 @@ def lexsort_indexer(
     -------
     np.ndarray[np.intp]
     """
-    from pandas.core.arrays import Categorical
+    from pandas.core.arrays import (
+        Categorical,
+    )
 
     labels = []
     shape = []
@@ -546,7 +564,9 @@ def ensure_key_mapped(values, key: Callable | None, levels=None):
     levels : Optional[List], if values is a MultiIndex, list of levels to
     apply the key to.
     """
-    from pandas.core.indexes.api import Index
+    from pandas.core.indexes.api import (
+        Index,
+    )
 
     if not key:
         return values
diff --git a/pandas/core/strings/accessor.py b/pandas/core/strings/accessor.py
index 1b020a3d96411..88ed06d945fce 100644
--- a/pandas/core/strings/accessor.py
+++ b/pandas/core/strings/accessor.py
@@ -1,7 +1,11 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import codecs
-from functools import wraps
+from functools import (
+    wraps,
+)
 import re
 from typing import (
     TYPE_CHECKING,
@@ -14,15 +18,21 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     AlignJoin,
     DtypeObj,
     F,
     Scalar,
 )
-from pandas.util._decorators import Appender
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    Appender,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     ensure_object,
@@ -39,10 +49,16 @@
     ABCMultiIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core.base import NoNewAttributesMixin
-from pandas.core.construction import extract_array
+from pandas.core.base import (
+    NoNewAttributesMixin,
+)
+from pandas.core.construction import (
+    extract_array,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -175,7 +191,9 @@ class StringMethods(NoNewAttributesMixin):
     # * extractall
 
     def __init__(self, data) -> None:
-        from pandas.core.arrays.string_ import StringDtype
+        from pandas.core.arrays.string_ import (
+            StringDtype,
+        )
 
         self._inferred_dtype = self._validate(data)
         self._is_categorical = is_categorical_dtype(data.dtype)
@@ -2566,7 +2584,9 @@ def extract(
         2    NaN
         dtype: object
         """
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         if not isinstance(expand, bool):
             raise ValueError("expand must be True or False")
@@ -3262,7 +3282,9 @@ def _result_dtype(arr):
     # workaround #27953
     # ideally we just pass `dtype=arr.dtype` unconditionally, but this fails
     # when the list of values is empty.
-    from pandas.core.arrays.string_ import StringDtype
+    from pandas.core.arrays.string_ import (
+        StringDtype,
+    )
 
     if isinstance(arr.dtype, StringDtype):
         return arr.dtype
@@ -3322,7 +3344,9 @@ def str_extractall(arr, pat, flags: int = 0):
                 result_key = tuple(subject_key + (match_i,))
                 index_list.append(result_key)
 
-    from pandas import MultiIndex
+    from pandas import (
+        MultiIndex,
+    )
 
     index = MultiIndex.from_tuples(index_list, names=arr.index.names + ["match"])
     dtype = _result_dtype(arr)
diff --git a/pandas/core/strings/base.py b/pandas/core/strings/base.py
index f1e716b64644a..a9fce9aa47765 100644
--- a/pandas/core/strings/base.py
+++ b/pandas/core/strings/base.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import abc
 import re
@@ -10,10 +12,14 @@
 
 import numpy as np
 
-from pandas._typing import Scalar
+from pandas._typing import (
+    Scalar,
+)
 
 if TYPE_CHECKING:
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
 
 class BaseStringArrayMethods(abc.ABC):
diff --git a/pandas/core/strings/object_array.py b/pandas/core/strings/object_array.py
index 508ac122d67af..92180b20d9853 100644
--- a/pandas/core/strings/object_array.py
+++ b/pandas/core/strings/object_array.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import functools
 import re
@@ -13,7 +15,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 import pandas._libs.missing as libmissing
 import pandas._libs.ops as libops
 from pandas._typing import (
@@ -21,13 +25,21 @@
     Scalar,
 )
 
-from pandas.core.dtypes.common import is_scalar
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core.strings.base import BaseStringArrayMethods
+from pandas.core.strings.base import (
+    BaseStringArrayMethods,
+)
 
 if TYPE_CHECKING:
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
 
 class ObjectStringArrayMixin(BaseStringArrayMethods):
@@ -187,7 +199,9 @@ def scalar_rep(x):
 
             return self._str_map(scalar_rep, dtype=str)
         else:
-            from pandas.core.arrays.string_ import BaseStringArray
+            from pandas.core.arrays.string_ import (
+                BaseStringArray,
+            )
 
             def rep(x, r):
                 if x is libmissing.NA:
@@ -367,7 +381,9 @@ def _str_wrap(self, width, **kwargs):
         return self._str_map(lambda s: "\n".join(tw.wrap(s)))
 
     def _str_get_dummies(self, sep: str = "|"):
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         arr = Series(self).fillna("")
         try:
@@ -466,7 +482,9 @@ def _str_removesuffix(self, suffix: str) -> Series:
         if sys.version_info < (3, 9):
             # NOTE pyupgrade will remove this when we run it with --py39-plus
             # so don't remove the unnecessary `else` statement below
-            from pandas.util._str_methods import removesuffix
+            from pandas.util._str_methods import (
+                removesuffix,
+            )
 
             return self._str_map(functools.partial(removesuffix, suffix=suffix))
         else:
diff --git a/pandas/core/tools/datetimes.py b/pandas/core/tools/datetimes.py
index b917f2de61343..8421f9c22f6e8 100644
--- a/pandas/core/tools/datetimes.py
+++ b/pandas/core/tools/datetimes.py
@@ -1,9 +1,19 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
-from datetime import datetime
-from functools import partial
-from itertools import islice
+from collections import (
+    abc,
+)
+from datetime import (
+    datetime,
+)
+from functools import (
+    partial,
+)
+from itertools import (
+    islice,
+)
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -35,19 +45,25 @@
     parsing,
     timezones as libtimezones,
 )
-from pandas._libs.tslibs.conversion import precision_from_unit
+from pandas._libs.tslibs.conversion import (
+    precision_from_unit,
+)
 from pandas._libs.tslibs.parsing import (
     DateParseError,
     guess_datetime_format,
 )
-from pandas._libs.tslibs.strptime import array_strptime
+from pandas._libs.tslibs.strptime import (
+    array_strptime,
+)
 from pandas._typing import (
     AnyArrayLike,
     ArrayLike,
     DateTimeErrorChoices,
     npt,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     ensure_object,
@@ -64,28 +80,46 @@
     ABCDataFrame,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
 from pandas.arrays import (
     DatetimeArray,
     IntegerArray,
     PandasArray,
 )
-from pandas.core import algorithms
-from pandas.core.algorithms import unique
-from pandas.core.arrays.base import ExtensionArray
+from pandas.core import (
+    algorithms,
+)
+from pandas.core.algorithms import (
+    unique,
+)
+from pandas.core.arrays.base import (
+    ExtensionArray,
+)
 from pandas.core.arrays.datetimes import (
     maybe_convert_dtype,
     objects_to_datetime64ns,
     tz_to_dtype,
 )
-from pandas.core.construction import extract_array
-from pandas.core.indexes.base import Index
-from pandas.core.indexes.datetimes import DatetimeIndex
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.indexes.base import (
+    Index,
+)
+from pandas.core.indexes.datetimes import (
+    DatetimeIndex,
+)
 
 if TYPE_CHECKING:
-    from pandas._libs.tslibs.nattype import NaTType
-    from pandas._libs.tslibs.timedeltas import UnitChoices
+    from pandas._libs.tslibs.nattype import (
+        NaTType,
+    )
+    from pandas._libs.tslibs.timedeltas import (
+        UnitChoices,
+    )
 
     from pandas import (
         DataFrame,
@@ -233,7 +267,9 @@ def _maybe_cache(
     cache_array : Series
         Cache of converted, unique dates. Can be empty
     """
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     cache_array = Series(dtype=object)
 
@@ -305,7 +341,9 @@ def _convert_and_box_cache(
     -------
     result : Index-like of converted dates
     """
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     result = Series(arg).map(cache_array)
     return _box_as_indexlike(result._values, utc=False, name=name)
@@ -1070,7 +1108,9 @@ def to_datetime(
             if errors == "raise":
                 raise
             # ... otherwise, continue without the cache.
-            from pandas import Series
+            from pandas import (
+                Series,
+            )
 
             cache_array = Series([], dtype=object)  # just an empty array
         if not cache_array.empty:
diff --git a/pandas/core/tools/numeric.py b/pandas/core/tools/numeric.py
index ea150f714845c..b6f1519361ca9 100644
--- a/pandas/core/tools/numeric.py
+++ b/pandas/core/tools/numeric.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Literal
+from typing import (
+    Literal,
+)
 
 import numpy as np
 
@@ -9,13 +13,17 @@
     using_nullable_dtypes,
 )
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     DateTimeErrorChoices,
     npt,
 )
 
-from pandas.core.dtypes.cast import maybe_downcast_numeric
+from pandas.core.dtypes.cast import (
+    maybe_downcast_numeric,
+)
 from pandas.core.dtypes.common import (
     ensure_object,
     is_bool_dtype,
@@ -34,7 +42,9 @@
 )
 
 import pandas as pd
-from pandas.core.arrays import BaseMaskedArray
+from pandas.core.arrays import (
+    BaseMaskedArray,
+)
 
 
 def to_numeric(
diff --git a/pandas/core/tools/timedeltas.py b/pandas/core/tools/timedeltas.py
index 42cf92c6b2a35..b5f9cbf70ee5b 100644
--- a/pandas/core/tools/timedeltas.py
+++ b/pandas/core/tools/timedeltas.py
@@ -1,9 +1,13 @@
 """
 timedelta support tools
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 from typing import (
     TYPE_CHECKING,
     overload,
@@ -11,7 +15,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.tslibs import (
     NaT,
     NaTType,
@@ -21,16 +27,22 @@
     parse_timedelta_unit,
 )
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 from pandas.core.dtypes.generic import (
     ABCIndex,
     ABCSeries,
 )
 
-from pandas.core.arrays.timedeltas import sequence_to_td64ns
+from pandas.core.arrays.timedeltas import (
+    sequence_to_td64ns,
+)
 
 if TYPE_CHECKING:
-    from pandas._libs.tslibs.timedeltas import UnitChoices
+    from pandas._libs.tslibs.timedeltas import (
+        UnitChoices,
+    )
     from pandas._typing import (
         ArrayLike,
         DateTimeErrorChoices,
@@ -259,7 +271,9 @@ def _convert_listlike(
             # like to surface it.
             raise
 
-    from pandas import TimedeltaIndex
+    from pandas import (
+        TimedeltaIndex,
+    )
 
     value = TimedeltaIndex(td64arr, unit="ns", name=name)
     return value
diff --git a/pandas/core/tools/times.py b/pandas/core/tools/times.py
index cb178926123d3..b0f5557b893b8 100644
--- a/pandas/core/tools/times.py
+++ b/pandas/core/tools/times.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -7,14 +9,20 @@
 
 import numpy as np
 
-from pandas._libs.lib import is_list_like
-from pandas._typing import DateTimeErrorChoices
+from pandas._libs.lib import (
+    is_list_like,
+)
+from pandas._typing import (
+    DateTimeErrorChoices,
+)
 
 from pandas.core.dtypes.generic import (
     ABCIndex,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
 
 def to_time(
diff --git a/pandas/core/util/hashing.py b/pandas/core/util/hashing.py
index 350914cc50556..a6097909da987 100644
--- a/pandas/core/util/hashing.py
+++ b/pandas/core/util/hashing.py
@@ -1,7 +1,9 @@
 """
 data hash pandas / numpy objects
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import itertools
 from typing import (
@@ -14,8 +16,12 @@
 
 import numpy as np
 
-from pandas._libs import lib
-from pandas._libs.hashing import hash_object_array
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.hashing import (
+    hash_object_array,
+)
 from pandas._typing import (
     ArrayLike,
     npt,
@@ -110,7 +116,9 @@ def hash_pandas_object(
     -------
     Series of uint64, same length as the object
     """
-    from pandas import Series
+    from pandas import (
+        Series,
+    )
 
     if hash_key is None:
         hash_key = _default_hash_key
diff --git a/pandas/core/util/numba_.py b/pandas/core/util/numba_.py
index be798e022ac6e..799b662e8cacd 100644
--- a/pandas/core/util/numba_.py
+++ b/pandas/core/util/numba_.py
@@ -1,5 +1,7 @@
 """Common utilities for Numba operations"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import types
 from typing import (
@@ -9,8 +11,12 @@
 
 import numpy as np
 
-from pandas.compat._optional import import_optional_dependency
-from pandas.errors import NumbaUtilError
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.errors import (
+    NumbaUtilError,
+)
 
 GLOBAL_USE_NUMBA: bool = False
 
diff --git a/pandas/core/window/common.py b/pandas/core/window/common.py
index b6c7bc5684d20..d06bf88034580 100644
--- a/pandas/core/window/common.py
+++ b/pandas/core/window/common.py
@@ -1,8 +1,14 @@
 """Common utility functions for rolling operations"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
-from typing import cast
+from collections import (
+    defaultdict,
+)
+from typing import (
+    cast,
+)
 
 import numpy as np
 
@@ -11,7 +17,9 @@
     ABCSeries,
 )
 
-from pandas.core.indexes.api import MultiIndex
+from pandas.core.indexes.api import (
+    MultiIndex,
+)
 
 
 def flex_binary_moment(arg1, arg2, f, pairwise: bool = False):
@@ -20,7 +28,9 @@ def flex_binary_moment(arg1, arg2, f, pairwise: bool = False):
         return f(X, Y)
 
     elif isinstance(arg1, ABCDataFrame):
-        from pandas import DataFrame
+        from pandas import (
+            DataFrame,
+        )
 
         def dataframe_from_int_dict(data, frame_template) -> DataFrame:
             result = DataFrame(data, index=frame_template.index)
@@ -62,7 +72,9 @@ def dataframe_from_int_dict(data, frame_template) -> DataFrame:
                                 *prep_binary(arg1.iloc[:, i], arg2.iloc[:, j])
                             )
 
-                from pandas import concat
+                from pandas import (
+                    concat,
+                )
 
                 result_index = arg1.index.union(arg2.index)
                 if len(result_index):
diff --git a/pandas/core/window/doc.py b/pandas/core/window/doc.py
index 2a5cbc04921fa..bbc7c17444582 100644
--- a/pandas/core/window/doc.py
+++ b/pandas/core/window/doc.py
@@ -1,9 +1,15 @@
 """Any shareable docstring components for rolling/expanding/ewm"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
 _shared_docs = dict(**_shared_docs)
 
diff --git a/pandas/core/window/ewm.py b/pandas/core/window/ewm.py
index b61fa9a92539e..b08df0917cbd6 100644
--- a/pandas/core/window/ewm.py
+++ b/pandas/core/window/ewm.py
@@ -1,13 +1,23 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import datetime
-from functools import partial
-from textwrap import dedent
-from typing import TYPE_CHECKING
+from functools import (
+    partial,
+)
+from textwrap import (
+    dedent,
+)
+from typing import (
+    TYPE_CHECKING,
+)
 
 import numpy as np
 
-from pandas._libs.tslibs import Timedelta
+from pandas._libs.tslibs import (
+    Timedelta,
+)
 import pandas._libs.window.aggregations as window_aggregations
 from pandas._typing import (
     Axis,
@@ -18,15 +28,21 @@
     from pandas import DataFrame, Series
     from pandas.core.generic import NDFrame
 
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64_ns_dtype,
     is_numeric_dtype,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core import common
+from pandas.core import (
+    common,
+)
 from pandas.core.indexers.objects import (
     BaseIndexer,
     ExponentialMovingWindowIndexer,
@@ -36,7 +52,9 @@
     get_jit_arguments,
     maybe_use_numba,
 )
-from pandas.core.window.common import zsqrt
+from pandas.core.window.common import (
+    zsqrt,
+)
 from pandas.core.window.doc import (
     _shared_docs,
     create_section_header,
@@ -697,7 +715,9 @@ def cov(
         bias: bool = False,
         numeric_only: bool = False,
     ):
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         self._validate_numeric_only("cov", numeric_only)
 
@@ -768,7 +788,9 @@ def corr(
         pairwise: bool | None = None,
         numeric_only: bool = False,
     ):
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         self._validate_numeric_only("corr", numeric_only)
 
diff --git a/pandas/core/window/expanding.py b/pandas/core/window/expanding.py
index 6147f0f43c558..b975d5aac7249 100644
--- a/pandas/core/window/expanding.py
+++ b/pandas/core/window/expanding.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -17,7 +21,9 @@
     from pandas import DataFrame, Series
     from pandas.core.generic import NDFrame
 
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas.core.indexers.objects import (
     BaseIndexer,
diff --git a/pandas/core/window/numba_.py b/pandas/core/window/numba_.py
index 756f8e3a1cffc..dab916020590f 100644
--- a/pandas/core/window/numba_.py
+++ b/pandas/core/window/numba_.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import functools
 from typing import (
@@ -9,10 +11,16 @@
 
 import numpy as np
 
-from pandas._typing import Scalar
-from pandas.compat._optional import import_optional_dependency
+from pandas._typing import (
+    Scalar,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
-from pandas.core.util.numba_ import jit_user_function
+from pandas.core.util.numba_ import (
+    jit_user_function,
+)
 
 
 @functools.lru_cache(maxsize=None)
diff --git a/pandas/core/window/online.py b/pandas/core/window/online.py
index f9e3122b304bc..21e78b59a9dee 100644
--- a/pandas/core/window/online.py
+++ b/pandas/core/window/online.py
@@ -1,10 +1,16 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 import numpy as np
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 
 def generate_online_numba_ewma_func(
diff --git a/pandas/core/window/rolling.py b/pandas/core/window/rolling.py
index 97b3f23d65b44..19cae995e4d5c 100644
--- a/pandas/core/window/rolling.py
+++ b/pandas/core/window/rolling.py
@@ -2,13 +2,21 @@
 Provide a generic structure to support window functions,
 similar to how we have a Groupby object.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import copy
-from datetime import timedelta
-from functools import partial
+from datetime import (
+    timedelta,
+)
+from functools import (
+    partial,
+)
 import inspect
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -33,9 +41,15 @@
     QuantileInterpolation,
     WindowingRankType,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.errors import DataError
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.errors import (
+    DataError,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas.core.dtypes.common import (
     ensure_float64,
@@ -50,13 +64,25 @@
     ABCDataFrame,
     ABCSeries,
 )
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
-from pandas.core._numba import executor
-from pandas.core.algorithms import factorize
-from pandas.core.apply import ResamplerWindowApply
-from pandas.core.arrays import ExtensionArray
-from pandas.core.base import SelectionMixin
+from pandas.core._numba import (
+    executor,
+)
+from pandas.core.algorithms import (
+    factorize,
+)
+from pandas.core.apply import (
+    ResamplerWindowApply,
+)
+from pandas.core.arrays import (
+    ExtensionArray,
+)
+from pandas.core.base import (
+    SelectionMixin,
+)
 import pandas.core.common as com
 from pandas.core.indexers.objects import (
     BaseIndexer,
@@ -71,7 +97,9 @@
     PeriodIndex,
     TimedeltaIndex,
 )
-from pandas.core.reshape.concat import concat
+from pandas.core.reshape.concat import (
+    concat,
+)
 from pandas.core.util.numba_ import (
     get_jit_arguments,
     maybe_use_numba,
@@ -103,8 +131,12 @@
         DataFrame,
         Series,
     )
-    from pandas.core.generic import NDFrame
-    from pandas.core.groupby.ops import BaseGrouper
+    from pandas.core.generic import (
+        NDFrame,
+    )
+    from pandas.core.groupby.ops import (
+        BaseGrouper,
+    )
 
 
 class BaseWindow(SelectionMixin):
@@ -379,7 +411,9 @@ def _prep_values(self, values: ArrayLike) -> np.ndarray:
     def _insert_on_column(self, result: DataFrame, obj: DataFrame) -> None:
         # if we have an 'on' column we want to put it back into
         # the results in the same location
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         if self.on is not None and not self._on.equals(obj.index):
             name = self._on.name
@@ -683,7 +717,9 @@ def __init__(
         _as_index: bool = True,
         **kwargs,
     ) -> None:
-        from pandas.core.groupby.ops import BaseGrouper
+        from pandas.core.groupby.ops import (
+            BaseGrouper,
+        )
 
         if not isinstance(_grouper, BaseGrouper):
             raise ValueError("Must pass a BaseGrouper object.")
@@ -1400,7 +1436,9 @@ def _generate_cython_apply_func(
         raw: bool,
         function: Callable[..., Any],
     ) -> Callable[[np.ndarray, np.ndarray, np.ndarray, int], np.ndarray]:
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         window_func = partial(
             window_aggregations.roll_apply,
@@ -1434,7 +1472,9 @@ def sum(
                     engine_kwargs=engine_kwargs,
                 )
             else:
-                from pandas.core._numba.kernels import sliding_sum
+                from pandas.core._numba.kernels import (
+                    sliding_sum,
+                )
 
                 return self._numba_apply(sliding_sum, engine_kwargs)
         window_func = window_aggregations.roll_sum
@@ -1456,7 +1496,9 @@ def max(
                     engine_kwargs=engine_kwargs,
                 )
             else:
-                from pandas.core._numba.kernels import sliding_min_max
+                from pandas.core._numba.kernels import (
+                    sliding_min_max,
+                )
 
                 return self._numba_apply(sliding_min_max, engine_kwargs, True)
         window_func = window_aggregations.roll_max
@@ -1478,7 +1520,9 @@ def min(
                     engine_kwargs=engine_kwargs,
                 )
             else:
-                from pandas.core._numba.kernels import sliding_min_max
+                from pandas.core._numba.kernels import (
+                    sliding_min_max,
+                )
 
                 return self._numba_apply(sliding_min_max, engine_kwargs, False)
         window_func = window_aggregations.roll_min
@@ -1500,7 +1544,9 @@ def mean(
                     engine_kwargs=engine_kwargs,
                 )
             else:
-                from pandas.core._numba.kernels import sliding_mean
+                from pandas.core._numba.kernels import (
+                    sliding_mean,
+                )
 
                 return self._numba_apply(sliding_mean, engine_kwargs)
         window_func = window_aggregations.roll_mean
@@ -1537,7 +1583,9 @@ def std(
         if maybe_use_numba(engine):
             if self.method == "table":
                 raise NotImplementedError("std not supported with method='table'")
-            from pandas.core._numba.kernels import sliding_var
+            from pandas.core._numba.kernels import (
+                sliding_var,
+            )
 
             return zsqrt(self._numba_apply(sliding_var, engine_kwargs, ddof))
         window_func = window_aggregations.roll_var
@@ -1561,7 +1609,9 @@ def var(
         if maybe_use_numba(engine):
             if self.method == "table":
                 raise NotImplementedError("var not supported with method='table'")
-            from pandas.core._numba.kernels import sliding_var
+            from pandas.core._numba.kernels import (
+                sliding_var,
+            )
 
             return self._numba_apply(sliding_var, engine_kwargs, ddof)
         window_func = partial(window_aggregations.roll_var, ddof=ddof)
@@ -1640,7 +1690,9 @@ def cov(
             raise NotImplementedError("step not implemented for cov")
         self._validate_numeric_only("cov", numeric_only)
 
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         def cov_func(x, y):
             x_array = self._prep_values(x)
@@ -1687,7 +1739,9 @@ def corr(
             raise NotImplementedError("step not implemented for corr")
         self._validate_numeric_only("corr", numeric_only)
 
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         def corr_func(x, y):
             x_array = self._prep_values(x)
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index c4b804de6a110..42e1133248290 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -1,18 +1,24 @@
 """
 Expose public exceptions & warnings
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import ctypes
 
-from pandas._config.config import OptionError
+from pandas._config.config import (
+    OptionError,
+)
 
 from pandas._libs.tslibs import (
     OutOfBoundsDatetime,
     OutOfBoundsTimedelta,
 )
 
-from pandas.util.version import InvalidVersion
+from pandas.util.version import (
+    InvalidVersion,
+)
 
 
 class IntCastingNaNError(ValueError):
diff --git a/pandas/io/__init__.py b/pandas/io/__init__.py
index bd3ddc09393d8..96437989c4a1c 100644
--- a/pandas/io/__init__.py
+++ b/pandas/io/__init__.py
@@ -1,4 +1,6 @@
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 if TYPE_CHECKING:
     # import modules that have public classes/functions
diff --git a/pandas/io/_util.py b/pandas/io/_util.py
index d2a001f0cf925..f8da890a32be9 100644
--- a/pandas/io/_util.py
+++ b/pandas/io/_util.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 import pandas as pd
 
diff --git a/pandas/io/api.py b/pandas/io/api.py
index 4e8b34a61dfc6..4ca037bb72f0b 100644
--- a/pandas/io/api.py
+++ b/pandas/io/api.py
@@ -2,18 +2,32 @@
 Data IO api
 """
 
-from pandas.io.clipboards import read_clipboard
+from pandas.io.clipboards import (
+    read_clipboard,
+)
 from pandas.io.excel import (
     ExcelFile,
     ExcelWriter,
     read_excel,
 )
-from pandas.io.feather_format import read_feather
-from pandas.io.gbq import read_gbq
-from pandas.io.html import read_html
-from pandas.io.json import read_json
-from pandas.io.orc import read_orc
-from pandas.io.parquet import read_parquet
+from pandas.io.feather_format import (
+    read_feather,
+)
+from pandas.io.gbq import (
+    read_gbq,
+)
+from pandas.io.html import (
+    read_html,
+)
+from pandas.io.json import (
+    read_json,
+)
+from pandas.io.orc import (
+    read_orc,
+)
+from pandas.io.parquet import (
+    read_parquet,
+)
 from pandas.io.parsers import (
     read_csv,
     read_fwf,
@@ -27,15 +41,23 @@
     HDFStore,
     read_hdf,
 )
-from pandas.io.sas import read_sas
-from pandas.io.spss import read_spss
+from pandas.io.sas import (
+    read_sas,
+)
+from pandas.io.spss import (
+    read_spss,
+)
 from pandas.io.sql import (
     read_sql,
     read_sql_query,
     read_sql_table,
 )
-from pandas.io.stata import read_stata
-from pandas.io.xml import read_xml
+from pandas.io.stata import (
+    read_stata,
+)
+from pandas.io.xml import (
+    read_xml,
+)
 
 __all__ = [
     "ExcelFile",
diff --git a/pandas/io/clipboard/__init__.py b/pandas/io/clipboard/__init__.py
index e574ed2c8059a..e14006ec7d4cc 100644
--- a/pandas/io/clipboard/__init__.py
+++ b/pandas/io/clipboard/__init__.py
@@ -55,7 +55,9 @@
 )
 import os
 import platform
-from shutil import which
+from shutil import (
+    which,
+)
 import subprocess
 import time
 import warnings
@@ -64,7 +66,9 @@
     PyperclipException,
     PyperclipWindowsException,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 # `import PyQt4` sys.exit()s if DISPLAY is not in the environment.
 # Thus, we need to detect the presence of $DISPLAY manually
@@ -148,12 +152,18 @@ def init_qt_clipboard():
 
     # Try to import from qtpy, but if that fails try PyQt5 then PyQt4
     try:
-        from qtpy.QtWidgets import QApplication
+        from qtpy.QtWidgets import (
+            QApplication,
+        )
     except ImportError:
         try:
-            from PyQt5.QtWidgets import QApplication
+            from PyQt5.QtWidgets import (
+                QApplication,
+            )
         except ImportError:
-            from PyQt4.QtGui import QApplication
+            from PyQt4.QtGui import (
+                QApplication,
+            )
 
     app = QApplication.instance()
     if app is None:
diff --git a/pandas/io/clipboards.py b/pandas/io/clipboards.py
index fa87e02793b55..473fd4ca81c5a 100644
--- a/pandas/io/clipboards.py
+++ b/pandas/io/clipboards.py
@@ -1,15 +1,27 @@
 """ io on the clipboard """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from io import StringIO
+from io import (
+    StringIO,
+)
 import warnings
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
-from pandas.util._exceptions import find_stack_level
+from pandas._libs import (
+    lib,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.generic import ABCDataFrame
+from pandas.core.dtypes.generic import (
+    ABCDataFrame,
+)
 
 from pandas import (
     get_option,
@@ -67,8 +79,12 @@ def read_clipboard(
         else using_nullable_dtypes()
     )
 
-    from pandas.io.clipboard import clipboard_get
-    from pandas.io.parsers import read_csv
+    from pandas.io.clipboard import (
+        clipboard_get,
+    )
+    from pandas.io.parsers import (
+        read_csv,
+    )
 
     text = clipboard_get()
 
@@ -149,7 +165,9 @@ def to_clipboard(
     if encoding is not None and encoding.lower().replace("-", "") != "utf8":
         raise ValueError("clipboard only supports utf-8 encoding")
 
-    from pandas.io.clipboard import clipboard_set
+    from pandas.io.clipboard import (
+        clipboard_set,
+    )
 
     if excel is None:
         excel = True
diff --git a/pandas/io/common.py b/pandas/io/common.py
index 13185603c7bac..8604014625b80 100644
--- a/pandas/io/common.py
+++ b/pandas/io/common.py
@@ -1,12 +1,16 @@
 """Common IO api utilities"""
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
     abstractmethod,
 )
 import codecs
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 import dataclasses
 import functools
 import gzip
@@ -20,7 +24,9 @@
 )
 import mmap
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import re
 import tarfile
 from typing import (
@@ -57,11 +63,21 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.compat import get_lzma_file
-from pandas.compat._optional import import_optional_dependency
-from pandas.compat.compressors import BZ2File as _BZ2File
-from pandas.util._decorators import doc
-from pandas.util._exceptions import find_stack_level
+from pandas.compat import (
+    get_lzma_file,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.compat.compressors import (
+    BZ2File as _BZ2File,
+)
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_bool,
@@ -70,8 +86,12 @@
     is_list_like,
 )
 
-from pandas.core.indexes.api import MultiIndex
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.indexes.api import (
+    MultiIndex,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
 _VALID_URLS = set(uses_relative + uses_netloc + uses_params)
 _VALID_URLS.discard("")
@@ -477,7 +497,9 @@ def file_path_to_url(path: str) -> str:
     a valid FILE URL
     """
     # lazify expensive import (~30ms)
-    from urllib.request import pathname2url
+    from urllib.request import (
+        pathname2url,
+    )
 
     return urljoin("file:", pathname2url(path))
 
diff --git a/pandas/io/excel/__init__.py b/pandas/io/excel/__init__.py
index 275cbf0148f94..fcb0dd1fed836 100644
--- a/pandas/io/excel/__init__.py
+++ b/pandas/io/excel/__init__.py
@@ -3,10 +3,18 @@
     ExcelWriter,
     read_excel,
 )
-from pandas.io.excel._odswriter import ODSWriter as _ODSWriter
-from pandas.io.excel._openpyxl import OpenpyxlWriter as _OpenpyxlWriter
-from pandas.io.excel._util import register_writer
-from pandas.io.excel._xlsxwriter import XlsxWriter as _XlsxWriter
+from pandas.io.excel._odswriter import (
+    ODSWriter as _ODSWriter,
+)
+from pandas.io.excel._openpyxl import (
+    OpenpyxlWriter as _OpenpyxlWriter,
+)
+from pandas.io.excel._util import (
+    register_writer,
+)
+from pandas.io.excel._xlsxwriter import (
+    XlsxWriter as _XlsxWriter,
+)
 
 __all__ = ["read_excel", "ExcelWriter", "ExcelFile"]
 
diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
index 7cad7ecbf777a..83c685a55705a 100644
--- a/pandas/io/excel/_base.py
+++ b/pandas/io/excel/_base.py
@@ -1,12 +1,22 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import abc
 import datetime
-from functools import partial
-from io import BytesIO
+from functools import (
+    partial,
+)
+from io import (
+    BytesIO,
+)
 import os
-from textwrap import fill
-from types import TracebackType
+from textwrap import (
+    fill,
+)
+from types import (
+    TracebackType,
+)
 from typing import (
     IO,
     Any,
@@ -28,8 +38,12 @@
     using_nullable_dtypes,
 )
 
-from pandas._libs import lib
-from pandas._libs.parsers import STR_NA_VALUES
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.parsers import (
+    STR_NA_VALUES,
+)
 from pandas._typing import (
     DtypeArg,
     FilePath,
@@ -42,7 +56,9 @@
     get_version,
     import_optional_dependency,
 )
-from pandas.errors import EmptyDataError
+from pandas.errors import (
+    EmptyDataError,
+)
 from pandas.util._decorators import (
     Appender,
     doc,
@@ -55,9 +71,15 @@
     is_list_like,
 )
 
-from pandas.core.frame import DataFrame
-from pandas.core.shared_docs import _shared_docs
-from pandas.util.version import Version
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
+from pandas.util.version import (
+    Version,
+)
 
 from pandas.io.common import (
     IOHandles,
@@ -72,8 +94,12 @@
     maybe_convert_usecols,
     pop_header_name,
 )
-from pandas.io.parsers import TextParser
-from pandas.io.parsers.readers import validate_integer
+from pandas.io.parsers import (
+    TextParser,
+)
+from pandas.io.parsers.readers import (
+    validate_integer,
+)
 
 _read_excel_doc = (
     """
@@ -1459,10 +1485,18 @@ class ExcelFile:
             This is not supported, switch to using ``openpyxl`` instead.
     """
 
-    from pandas.io.excel._odfreader import ODFReader
-    from pandas.io.excel._openpyxl import OpenpyxlReader
-    from pandas.io.excel._pyxlsb import PyxlsbReader
-    from pandas.io.excel._xlrd import XlrdReader
+    from pandas.io.excel._odfreader import (
+        ODFReader,
+    )
+    from pandas.io.excel._openpyxl import (
+        OpenpyxlReader,
+    )
+    from pandas.io.excel._pyxlsb import (
+        PyxlsbReader,
+    )
+    from pandas.io.excel._xlrd import (
+        XlrdReader,
+    )
 
     _engines: Mapping[str, Any] = {
         "xlrd": XlrdReader,
diff --git a/pandas/io/excel/_odfreader.py b/pandas/io/excel/_odfreader.py
index c3d7cb5df717f..86f1dff484f2a 100644
--- a/pandas/io/excel/_odfreader.py
+++ b/pandas/io/excel/_odfreader.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -13,16 +15,26 @@
     Scalar,
     StorageOptions,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
 import pandas as pd
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.excel._base import BaseExcelReader
+from pandas.io.excel._base import (
+    BaseExcelReader,
+)
 
 if TYPE_CHECKING:
-    from pandas._libs.tslibs.nattype import NaTType
+    from pandas._libs.tslibs.nattype import (
+        NaTType,
+    )
 
 
 @doc(storage_options=_shared_docs["storage_options"])
@@ -46,12 +58,16 @@ def __init__(
 
     @property
     def _workbook_class(self):
-        from odf.opendocument import OpenDocument
+        from odf.opendocument import (
+            OpenDocument,
+        )
 
         return OpenDocument
 
     def load_workbook(self, filepath_or_buffer: FilePath | ReadBuffer[bytes]):
-        from odf.opendocument import load
+        from odf.opendocument import (
+            load,
+        )
 
         return load(filepath_or_buffer)
 
@@ -63,20 +79,26 @@ def empty_value(self) -> str:
     @property
     def sheet_names(self) -> list[str]:
         """Return a list of sheet names present in the document"""
-        from odf.table import Table
+        from odf.table import (
+            Table,
+        )
 
         tables = self.book.getElementsByType(Table)
         return [t.getAttribute("name") for t in tables]
 
     def get_sheet_by_index(self, index: int):
-        from odf.table import Table
+        from odf.table import (
+            Table,
+        )
 
         self.raise_if_bad_sheet_by_index(index)
         tables = self.book.getElementsByType(Table)
         return tables[index]
 
     def get_sheet_by_name(self, name: str):
-        from odf.table import Table
+        from odf.table import (
+            Table,
+        )
 
         self.raise_if_bad_sheet_by_name(name)
         tables = self.book.getElementsByType(Table)
@@ -163,12 +185,16 @@ def _get_row_repeat(self, row) -> int:
         Repeating an empty row appeared to be a common way
         of representing sparse rows in the table.
         """
-        from odf.namespaces import TABLENS
+        from odf.namespaces import (
+            TABLENS,
+        )
 
         return int(row.attributes.get((TABLENS, "number-rows-repeated"), 1))
 
     def _get_column_repeat(self, cell) -> int:
-        from odf.namespaces import TABLENS
+        from odf.namespaces import (
+            TABLENS,
+        )
 
         return int(cell.attributes.get((TABLENS, "number-columns-repeated"), 1))
 
@@ -183,7 +209,9 @@ def _is_empty_row(self, row) -> bool:
         return True
 
     def _get_cell_value(self, cell) -> Scalar | NaTType:
-        from odf.namespaces import OFFICENS
+        from odf.namespaces import (
+            OFFICENS,
+        )
 
         if str(cell) == "#N/A":
             return np.nan
@@ -226,9 +254,15 @@ def _get_cell_string_value(self, cell) -> str:
         Find and decode OpenDocument text:s tags that represent
         a run length encoded sequence of space characters.
         """
-        from odf.element import Element
-        from odf.namespaces import TEXTNS
-        from odf.text import S
+        from odf.element import (
+            Element,
+        )
+        from odf.namespaces import (
+            TEXTNS,
+        )
+        from odf.text import (
+            S,
+        )
 
         text_s = S().qname
 
diff --git a/pandas/io/excel/_odswriter.py b/pandas/io/excel/_odswriter.py
index 6f1d62111e5b4..1be8a77805aa7 100644
--- a/pandas/io/excel/_odswriter.py
+++ b/pandas/io/excel/_odswriter.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 import datetime
 from typing import (
     TYPE_CHECKING,
@@ -10,21 +14,27 @@
     cast,
 )
 
-from pandas._libs import json
+from pandas._libs import (
+    json,
+)
 from pandas._typing import (
     FilePath,
     StorageOptions,
     WriteExcelBuffer,
 )
 
-from pandas.io.excel._base import ExcelWriter
+from pandas.io.excel._base import (
+    ExcelWriter,
+)
 from pandas.io.excel._util import (
     combine_kwargs,
     validate_freeze_panes,
 )
 
 if TYPE_CHECKING:
-    from pandas.io.formats.excel import ExcelCell
+    from pandas.io.formats.excel import (
+        ExcelCell,
+    )
 
 
 class ODSWriter(ExcelWriter):
@@ -43,7 +53,9 @@ def __init__(
         engine_kwargs: dict[str, Any] | None = None,
         **kwargs,
     ) -> None:
-        from odf.opendocument import OpenDocumentSpreadsheet
+        from odf.opendocument import (
+            OpenDocumentSpreadsheet,
+        )
 
         if mode == "a":
             raise ValueError("Append mode is not supported with odf!")
@@ -73,7 +85,9 @@ def book(self):
     @property
     def sheets(self) -> dict[str, Any]:
         """Mapping of sheet names to sheet objects."""
-        from odf.table import Table
+        from odf.table import (
+            Table,
+        )
 
         result = {
             sheet.getAttribute("name"): sheet
@@ -105,7 +119,9 @@ def _write_cells(
             TableCell,
             TableRow,
         )
-        from odf.text import P
+        from odf.text import (
+            P,
+        )
 
         sheet_name = self._get_sheet_name(sheet_name)
         assert sheet_name is not None
@@ -183,7 +199,9 @@ def _make_table_cell(self, cell) -> tuple[object, Any]:
         pvalue, cell : Tuple[str, TableCell]
             Display value, Cell value
         """
-        from odf.table import TableCell
+        from odf.table import (
+            TableCell,
+        )
 
         attributes = self._make_table_cell_attributes(cell)
         val, fmt = self._value_with_fmt(cell.val)
diff --git a/pandas/io/excel/_openpyxl.py b/pandas/io/excel/_openpyxl.py
index 594813fe0c1ac..2de0c5ccc5a28 100644
--- a/pandas/io/excel/_openpyxl.py
+++ b/pandas/io/excel/_openpyxl.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import mmap
 from typing import (
@@ -17,10 +19,16 @@
     StorageOptions,
     WriteExcelBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
 from pandas.io.excel._base import (
     BaseExcelReader,
@@ -32,8 +40,12 @@
 )
 
 if TYPE_CHECKING:
-    from openpyxl.descriptors.serialisable import Serialisable
-    from openpyxl.workbook import Workbook
+    from openpyxl.descriptors.serialisable import (
+        Serialisable,
+    )
+    from openpyxl.workbook import (
+        Workbook,
+    )
 
 
 class OpenpyxlWriter(ExcelWriter):
@@ -53,7 +65,9 @@ def __init__(
         **kwargs,
     ) -> None:
         # Use the openpyxl module as the Excel writer.
-        from openpyxl.workbook import Workbook
+        from openpyxl.workbook import (
+            Workbook,
+        )
 
         engine_kwargs = combine_kwargs(engine_kwargs, kwargs)
 
@@ -68,7 +82,9 @@ def __init__(
         # ExcelWriter replaced "a" by "r+" to allow us to first read the excel file from
         # the file and later write to it
         if "r+" in self._mode:  # Load from existing workbook
-            from openpyxl import load_workbook
+            from openpyxl import (
+                load_workbook,
+            )
 
             try:
                 self._book = load_workbook(self._handles.handle, **engine_kwargs)
@@ -169,7 +185,9 @@ def _convert_to_color(cls, color_spec):
         -------
         color : openpyxl.styles.Color
         """
-        from openpyxl.styles import Color
+        from openpyxl.styles import (
+            Color,
+        )
 
         if isinstance(color_spec, str):
             return Color(color_spec)
@@ -204,7 +222,9 @@ def _convert_to_font(cls, font_dict):
         -------
         font : openpyxl.styles.Font
         """
-        from openpyxl.styles import Font
+        from openpyxl.styles import (
+            Font,
+        )
 
         _font_key_map = {
             "sz": "size",
@@ -322,7 +342,9 @@ def _convert_to_side(cls, side_spec):
         -------
         side : openpyxl.styles.Side
         """
-        from openpyxl.styles import Side
+        from openpyxl.styles import (
+            Side,
+        )
 
         _side_key_map = {"border_style": "style"}
 
@@ -363,7 +385,9 @@ def _convert_to_border(cls, border_dict):
         -------
         border : openpyxl.styles.Border
         """
-        from openpyxl.styles import Border
+        from openpyxl.styles import (
+            Border,
+        )
 
         _border_key_map = {"diagonalup": "diagonalUp", "diagonaldown": "diagonalDown"}
 
@@ -397,7 +421,9 @@ def _convert_to_alignment(cls, alignment_dict):
         -------
         alignment : openpyxl.styles.Alignment
         """
-        from openpyxl.styles import Alignment
+        from openpyxl.styles import (
+            Alignment,
+        )
 
         return Alignment(**alignment_dict)
 
@@ -434,7 +460,9 @@ def _convert_to_protection(cls, protection_dict):
         Returns
         -------
         """
-        from openpyxl.styles import Protection
+        from openpyxl.styles import (
+            Protection,
+        )
 
         return Protection(**protection_dict)
 
@@ -550,12 +578,16 @@ def __init__(
 
     @property
     def _workbook_class(self):
-        from openpyxl import Workbook
+        from openpyxl import (
+            Workbook,
+        )
 
         return Workbook
 
     def load_workbook(self, filepath_or_buffer: FilePath | ReadBuffer[bytes]):
-        from openpyxl import load_workbook
+        from openpyxl import (
+            load_workbook,
+        )
 
         return load_workbook(
             filepath_or_buffer, read_only=True, data_only=True, keep_links=False
diff --git a/pandas/io/excel/_pyxlsb.py b/pandas/io/excel/_pyxlsb.py
index 634baee63137e..147979c5c24f3 100644
--- a/pandas/io/excel/_pyxlsb.py
+++ b/pandas/io/excel/_pyxlsb.py
@@ -1,5 +1,7 @@
 # pyright: reportMissingImports=false
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from pandas._typing import (
     FilePath,
@@ -7,12 +9,20 @@
     Scalar,
     StorageOptions,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.excel._base import BaseExcelReader
+from pandas.io.excel._base import (
+    BaseExcelReader,
+)
 
 
 class PyxlsbReader(BaseExcelReader):
@@ -38,12 +48,16 @@ def __init__(
 
     @property
     def _workbook_class(self):
-        from pyxlsb import Workbook
+        from pyxlsb import (
+            Workbook,
+        )
 
         return Workbook
 
     def load_workbook(self, filepath_or_buffer: FilePath | ReadBuffer[bytes]):
-        from pyxlsb import open_workbook
+        from pyxlsb import (
+            open_workbook,
+        )
 
         # TODO: hack in buffer capability
         # This might need some modifications to the Pyxlsb library
diff --git a/pandas/io/excel/_util.py b/pandas/io/excel/_util.py
index 72c64c5ec8939..7a69577178314 100644
--- a/pandas/io/excel/_util.py
+++ b/pandas/io/excel/_util.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -13,7 +15,9 @@
     overload,
 )
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 from pandas.core.dtypes.common import (
     is_integer,
@@ -21,7 +25,9 @@
 )
 
 if TYPE_CHECKING:
-    from pandas.io.excel._base import ExcelWriter
+    from pandas.io.excel._base import (
+        ExcelWriter,
+    )
 
     ExcelWriter_t = type[ExcelWriter]
     usecols_func = TypeVar("usecols_func", bound=Callable[[Hashable], object])
diff --git a/pandas/io/excel/_xlrd.py b/pandas/io/excel/_xlrd.py
index 37bd4c1ba5ba5..1a70990d5afb2 100644
--- a/pandas/io/excel/_xlrd.py
+++ b/pandas/io/excel/_xlrd.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import time
+from datetime import (
+    time,
+)
 
 import numpy as np
 
@@ -8,12 +12,20 @@
     Scalar,
     StorageOptions,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.excel._base import BaseExcelReader
+from pandas.io.excel._base import (
+    BaseExcelReader,
+)
 
 
 class XlrdReader(BaseExcelReader):
@@ -36,12 +48,16 @@ def __init__(
 
     @property
     def _workbook_class(self):
-        from xlrd import Book
+        from xlrd import (
+            Book,
+        )
 
         return Book
 
     def load_workbook(self, filepath_or_buffer):
-        from xlrd import open_workbook
+        from xlrd import (
+            open_workbook,
+        )
 
         if hasattr(filepath_or_buffer, "read"):
             data = filepath_or_buffer.read()
diff --git a/pandas/io/excel/_xlsxwriter.py b/pandas/io/excel/_xlsxwriter.py
index 1800d3d87f7c0..9f7e54ba5cda8 100644
--- a/pandas/io/excel/_xlsxwriter.py
+++ b/pandas/io/excel/_xlsxwriter.py
@@ -1,15 +1,23 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Any
+from typing import (
+    Any,
+)
 
-from pandas._libs import json
+from pandas._libs import (
+    json,
+)
 from pandas._typing import (
     FilePath,
     StorageOptions,
     WriteExcelBuffer,
 )
 
-from pandas.io.excel._base import ExcelWriter
+from pandas.io.excel._base import (
+    ExcelWriter,
+)
 from pandas.io.excel._util import (
     combine_kwargs,
     validate_freeze_panes,
@@ -189,7 +197,9 @@ def __init__(
         **kwargs,
     ) -> None:
         # Use the xlsxwriter module as the Excel writer.
-        from xlsxwriter import Workbook
+        from xlsxwriter import (
+            Workbook,
+        )
 
         engine_kwargs = combine_kwargs(engine_kwargs, kwargs)
 
diff --git a/pandas/io/feather_format.py b/pandas/io/feather_format.py
index 8a21d99124ec6..51ea16c22e3f1 100644
--- a/pandas/io/feather_format.py
+++ b/pandas/io/feather_format.py
@@ -1,22 +1,32 @@
 """ feather-format compat """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Hashable,
     Sequence,
 )
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     FilePath,
     ReadBuffer,
     StorageOptions,
     WriteBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas import (
     arrays,
@@ -26,9 +36,13 @@
     DataFrame,
     RangeIndex,
 )
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 
 @doc(storage_options=_shared_docs["storage_options"])
@@ -55,7 +69,9 @@ def to_feather(
         .. versionadded:: 1.1.0
     """
     import_optional_dependency("pyarrow")
-    from pyarrow import feather
+    from pyarrow import (
+        feather,
+    )
 
     if not isinstance(df, DataFrame):
         raise ValueError("feather only support IO with DataFrames")
@@ -145,7 +161,9 @@ def read_feather(
     type of object stored in file
     """
     import_optional_dependency("pyarrow")
-    from pyarrow import feather
+    from pyarrow import (
+        feather,
+    )
 
     use_nullable_dtypes = (
         use_nullable_dtypes
@@ -168,7 +186,9 @@ def read_feather(
         )
 
         if dtype_backend == "pandas":
-            from pandas.io._util import _arrow_dtype_mapping
+            from pandas.io._util import (
+                _arrow_dtype_mapping,
+            )
 
             return pa_table.to_pandas(types_mapper=_arrow_dtype_mapping().get)
 
diff --git a/pandas/io/formats/__init__.py b/pandas/io/formats/__init__.py
index 8a3486a4d71fe..f87f62a16818a 100644
--- a/pandas/io/formats/__init__.py
+++ b/pandas/io/formats/__init__.py
@@ -1,8 +1,12 @@
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 if TYPE_CHECKING:
     # import modules that have public classes/functions
-    from pandas.io.formats import style
+    from pandas.io.formats import (
+        style,
+    )
 
     # and mark only those modules as public
     __all__ = ["style"]
diff --git a/pandas/io/formats/_color_data.py b/pandas/io/formats/_color_data.py
index 2e7cb7f29646e..d1e736db1b065 100644
--- a/pandas/io/formats/_color_data.py
+++ b/pandas/io/formats/_color_data.py
@@ -3,7 +3,9 @@
 # This data has been copied here, instead of being imported from matplotlib,
 # not to have ``to_excel`` methods require matplotlib.
 # source: matplotlib._color_data (3.3.3)
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 CSS4_COLORS = {
     "aliceblue": "F0F8FF",
diff --git a/pandas/io/formats/console.py b/pandas/io/formats/console.py
index 2a6cbe0762903..c3ceba228b866 100644
--- a/pandas/io/formats/console.py
+++ b/pandas/io/formats/console.py
@@ -1,9 +1,13 @@
 """
 Internal module for console introspection
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from shutil import get_terminal_size
+from shutil import (
+    get_terminal_size,
+)
 
 
 def get_console_size() -> tuple[int | None, int | None]:
@@ -12,7 +16,9 @@ def get_console_size() -> tuple[int | None, int | None]:
 
     Returns (None,None) in non-interactive session.
     """
-    from pandas import get_option
+    from pandas import (
+        get_option,
+    )
 
     display_width = get_option("display.width")
     display_height = get_option("display.max_rows")
@@ -31,7 +37,9 @@ def get_console_size() -> tuple[int | None, int | None]:
         if in_ipython_frontend():
             # sane defaults for interactive non-shell terminal
             # match default for width,height in config_init
-            from pandas._config.config import get_default_val
+            from pandas._config.config import (
+                get_default_val,
+            )
 
             terminal_width = get_default_val("display.width")
             terminal_height = get_default_val("display.max_rows")
@@ -60,7 +68,9 @@ def in_interactive_session() -> bool:
     bool
         True if running under python/ipython interactive shell.
     """
-    from pandas import get_option
+    from pandas import (
+        get_option,
+    )
 
     def check_main():
         try:
diff --git a/pandas/io/formats/css.py b/pandas/io/formats/css.py
index c3a87e04c1158..10ee3a32db2d4 100644
--- a/pandas/io/formats/css.py
+++ b/pandas/io/formats/css.py
@@ -1,7 +1,9 @@
 """
 Utilities for interpreting CSS from Stylers for formatting non-HTML outputs.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import re
 from typing import (
@@ -12,8 +14,12 @@
 )
 import warnings
 
-from pandas.errors import CSSWarning
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    CSSWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 
 def _side_expander(prop_fmt: str) -> Callable:
diff --git a/pandas/io/formats/csvs.py b/pandas/io/formats/csvs.py
index baf264353fca7..5ba87acd62a18 100644
--- a/pandas/io/formats/csvs.py
+++ b/pandas/io/formats/csvs.py
@@ -2,7 +2,9 @@
 Module for formatting output data into CSV files.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import csv as csvlib
 import os
@@ -17,7 +19,9 @@
 
 import numpy as np
 
-from pandas._libs import writers as libwriters
+from pandas._libs import (
+    writers as libwriters,
+)
 from pandas._typing import (
     CompressionOptions,
     FilePath,
@@ -26,7 +30,9 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.util._decorators import cache_readonly
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDatetimeIndex,
@@ -34,14 +40,22 @@
     ABCMultiIndex,
     ABCPeriodIndex,
 )
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
-from pandas.core.indexes.api import Index
+from pandas.core.indexes.api import (
+    Index,
+)
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 if TYPE_CHECKING:
-    from pandas.io.formats.format import DataFrameFormatter
+    from pandas.io.formats.format import (
+        DataFrameFormatter,
+    )
 
 
 class CSVFormatter:
diff --git a/pandas/io/formats/excel.py b/pandas/io/formats/excel.py
index 34c4d330761f5..85aa5dddc01f6 100644
--- a/pandas/io/formats/excel.py
+++ b/pandas/io/formats/excel.py
@@ -1,7 +1,9 @@
 """
 Utilities for conversion to writer-agnostic Excel representation.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from functools import (
     lru_cache,
@@ -22,15 +24,23 @@
 
 import numpy as np
 
-from pandas._libs.lib import is_list_like
+from pandas._libs.lib import (
+    is_list_like,
+)
 from pandas._typing import (
     IndexLabel,
     StorageOptions,
 )
-from pandas.util._decorators import doc
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    doc,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes import missing
+from pandas.core.dtypes import (
+    missing,
+)
 from pandas.core.dtypes.common import (
     is_float,
     is_scalar,
@@ -43,15 +53,23 @@
     PeriodIndex,
 )
 import pandas.core.common as com
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.formats._color_data import CSS4_COLORS
+from pandas.io.formats._color_data import (
+    CSS4_COLORS,
+)
 from pandas.io.formats.css import (
     CSSResolver,
     CSSWarning,
 )
-from pandas.io.formats.format import get_level_lengths
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.format import (
+    get_level_lengths,
+)
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 class ExcelCell:
@@ -916,7 +934,9 @@ def write(
 
             .. versionadded:: 1.2.0
         """
-        from pandas.io.excel import ExcelWriter
+        from pandas.io.excel import (
+            ExcelWriter,
+        )
 
         num_rows, num_cols = self.df.shape
         if num_rows > self.max_rows or num_cols > self.max_cols:
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index f9b081afcd045..c22338a99e28b 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -2,19 +2,31 @@
 Internal module for formatting output data in csv, html, xml,
 and latex files. This module also applies to display formatting.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 from csv import (
     QUOTE_NONE,
     QUOTE_NONNUMERIC,
 )
-from decimal import Decimal
-from functools import partial
-from io import StringIO
+from decimal import (
+    Decimal,
+)
+from functools import (
+    partial,
+)
+from io import (
+    StringIO,
+)
 import math
 import re
-from shutil import get_terminal_size
+from shutil import (
+    get_terminal_size,
+)
 from typing import (
     IO,
     TYPE_CHECKING,
@@ -29,7 +41,9 @@
     Sequence,
     cast,
 )
-from unicodedata import east_asian_width
+from unicodedata import (
+    east_asian_width,
+)
 
 import numpy as np
 
@@ -38,8 +52,12 @@
     set_option,
 )
 
-from pandas._libs import lib
-from pandas._libs.missing import NA
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.missing import (
+    NA,
+)
 from pandas._libs.tslibs import (
     NaT,
     Timedelta,
@@ -48,7 +66,9 @@
     iNaT,
     periods_per_day,
 )
-from pandas._libs.tslibs.nattype import NaTType
+from pandas._libs.tslibs.nattype import (
+    NaTType,
+)
 from pandas._typing import (
     ArrayLike,
     Axes,
@@ -77,7 +97,9 @@
     is_scalar,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 from pandas.core.dtypes.missing import (
     isna,
     notna,
@@ -88,25 +110,39 @@
     DatetimeArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.string_ import StringDtype
-from pandas.core.base import PandasObject
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
+from pandas.core.base import (
+    PandasObject,
+)
 import pandas.core.common as com
-from pandas.core.construction import extract_array
+from pandas.core.construction import (
+    extract_array,
+)
 from pandas.core.indexes.api import (
     Index,
     MultiIndex,
     PeriodIndex,
     ensure_index,
 )
-from pandas.core.indexes.datetimes import DatetimeIndex
-from pandas.core.indexes.timedeltas import TimedeltaIndex
-from pandas.core.reshape.concat import concat
+from pandas.core.indexes.datetimes import (
+    DatetimeIndex,
+)
+from pandas.core.indexes.timedeltas import (
+    TimedeltaIndex,
+)
+from pandas.core.reshape.concat import (
+    concat,
+)
 
 from pandas.io.common import (
     check_parent_directory,
     stringify_path,
 )
-from pandas.io.formats import printing
+from pandas.io.formats import (
+    printing,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -501,7 +537,9 @@ def get_dataframe_repr_params() -> dict[str, Any]:
     >>> repr(df) == df.to_string(**repr_params)
     True
     """
-    from pandas.io.formats import console
+    from pandas.io.formats import (
+        console,
+    )
 
     if get_option("display.expand_frame_repr"):
         line_width, _ = console.get_console_size()
@@ -913,7 +951,9 @@ def _get_formatter(self, i: str | int) -> Callable | None:
             return self.formatters.get(i, None)
 
     def _get_formatted_column_labels(self, frame: DataFrame) -> list[list[str]]:
-        from pandas.core.indexes.multi import sparsify_labels
+        from pandas.core.indexes.multi import (
+            sparsify_labels,
+        )
 
         columns = frame.columns
 
@@ -1039,7 +1079,9 @@ def to_latex(
         """
         Render a DataFrame to a LaTeX tabular/longtable environment output.
         """
-        from pandas.io.formats.latex import LatexFormatter
+        from pandas.io.formats.latex import (
+            LatexFormatter,
+        )
 
         latex_formatter = LatexFormatter(
             self.fmt,
@@ -1126,7 +1168,9 @@ def to_string(
         line_width : int, optional
             Width to wrap a line in characters.
         """
-        from pandas.io.formats.string import StringFormatter
+        from pandas.io.formats.string import (
+            StringFormatter,
+        )
 
         string_formatter = StringFormatter(self.fmt, line_width=line_width)
         string = string_formatter.to_string()
@@ -1154,7 +1198,9 @@ def to_csv(
         """
         Render dataframe as comma-separated file.
         """
-        from pandas.io.formats.csvs import CSVFormatter
+        from pandas.io.formats.csvs import (
+            CSVFormatter,
+        )
 
         if path_or_buf is None:
             created_buffer = True
diff --git a/pandas/io/formats/html.py b/pandas/io/formats/html.py
index 6fbbbd01cf773..6c3a5637b22de 100644
--- a/pandas/io/formats/html.py
+++ b/pandas/io/formats/html.py
@@ -1,9 +1,13 @@
 """
 Module for formatting output data in HTML.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     Any,
     Final,
@@ -13,21 +17,29 @@
     cast,
 )
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 
 from pandas import (
     MultiIndex,
     option_context,
 )
 
-from pandas.io.common import is_url
+from pandas.io.common import (
+    is_url,
+)
 from pandas.io.formats.format import (
     DataFrameFormatter,
     get_level_lengths,
 )
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 class HTMLFormatter:
diff --git a/pandas/io/formats/info.py b/pandas/io/formats/info.py
index d826c0a148ebe..afe30e3f19f3d 100644
--- a/pandas/io/formats/info.py
+++ b/pandas/io/formats/info.py
@@ -1,11 +1,15 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
     abstractmethod,
 )
 import sys
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     TYPE_CHECKING,
     Iterable,
@@ -14,15 +18,21 @@
     Sequence,
 )
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._typing import (
     Dtype,
     WriteBuffer,
 )
 
-from pandas.io.formats import format as fmt
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats import (
+    format as fmt,
+)
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 if TYPE_CHECKING:
     from pandas import (
@@ -554,7 +564,9 @@ def dtypes(self) -> Iterable[Dtype]:
 
     @property
     def dtype_counts(self) -> Mapping[str, int]:
-        from pandas.core.frame import DataFrame
+        from pandas.core.frame import (
+            DataFrame,
+        )
 
         return _get_dataframe_dtype_counts(DataFrame(self.data))
 
diff --git a/pandas/io/formats/latex.py b/pandas/io/formats/latex.py
index a97f3d4ef541e..20192373169de 100644
--- a/pandas/io/formats/latex.py
+++ b/pandas/io/formats/latex.py
@@ -1,7 +1,9 @@
 """
 Module for formatting output data in Latex.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
@@ -15,10 +17,14 @@
 
 import numpy as np
 
-from pandas.core.dtypes.generic import ABCMultiIndex
+from pandas.core.dtypes.generic import (
+    ABCMultiIndex,
+)
 
 if TYPE_CHECKING:
-    from pandas.io.formats.format import DataFrameFormatter
+    from pandas.io.formats.format import (
+        DataFrameFormatter,
+    )
 
 
 def _split_into_full_short_caption(
diff --git a/pandas/io/formats/printing.py b/pandas/io/formats/printing.py
index e734304471144..e4fbbbc13f0f6 100644
--- a/pandas/io/formats/printing.py
+++ b/pandas/io/formats/printing.py
@@ -1,7 +1,9 @@
 """
 Printing tools.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import sys
 from typing import (
@@ -15,9 +17,13 @@
     Union,
 )
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas.core.dtypes.inference import is_sequence
+from pandas.core.dtypes.inference import (
+    is_sequence,
+)
 
 EscapeChars = Union[Mapping[str, str], Iterable[str]]
 _KT = TypeVar("_KT")
@@ -245,7 +251,9 @@ def enable_data_resource_formatter(enable: bool) -> None:
     if "IPython" not in sys.modules:
         # definitely not in IPython
         return
-    from IPython import get_ipython
+    from IPython import (
+        get_ipython,
+    )
 
     ip = get_ipython()
     if ip is None:
@@ -258,8 +266,12 @@ def enable_data_resource_formatter(enable: bool) -> None:
     if enable:
         if mimetype not in formatters:
             # define tableschema formatter
-            from IPython.core.formatters import BaseFormatter
-            from traitlets import ObjectName
+            from IPython.core.formatters import (
+                BaseFormatter,
+            )
+            from traitlets import (
+                ObjectName,
+            )
 
             class TableSchemaFormatter(BaseFormatter):
                 print_method = ObjectName("_repr_data_resource_")
@@ -320,8 +332,12 @@ def format_object_summary(
     -------
     summary string
     """
-    from pandas.io.formats.console import get_console_size
-    from pandas.io.formats.format import get_adjustment
+    from pandas.io.formats.console import (
+        get_console_size,
+    )
+    from pandas.io.formats.format import (
+        get_adjustment,
+    )
 
     display_width, _ = get_console_size()
     if display_width is None:
diff --git a/pandas/io/formats/string.py b/pandas/io/formats/string.py
index 071afc059b166..7a564556bc925 100644
--- a/pandas/io/formats/string.py
+++ b/pandas/io/formats/string.py
@@ -1,9 +1,13 @@
 """
 Module for formatting output data in console (to string).
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from shutil import get_terminal_size
+from shutil import (
+    get_terminal_size,
+)
 from typing import (
     TYPE_CHECKING,
     Iterable,
@@ -11,10 +15,14 @@
 
 import numpy as np
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 if TYPE_CHECKING:
-    from pandas.io.formats.format import DataFrameFormatter
+    from pandas.io.formats.format import (
+        DataFrameFormatter,
+    )
 
 
 class StringFormatter:
@@ -157,7 +165,9 @@ def _join_multiline(self, strcols_input: Iterable[list[str]]) -> str:
         return "\n\n".join(str_lst)
 
     def _fit_strcols_to_terminal_width(self, strcols: list[list[str]]) -> str:
-        from pandas import Series
+        from pandas import (
+            Series,
+        )
 
         lines = self.adj.adjoin(1, *strcols).split("\n")
         max_len = Series(lines).str.len().max()
diff --git a/pandas/io/formats/style.py b/pandas/io/formats/style.py
index 8ee73e77f5b11..8fa71d8d27a16 100644
--- a/pandas/io/formats/style.py
+++ b/pandas/io/formats/style.py
@@ -1,11 +1,17 @@
 """
 Module for applying conditional formatting to DataFrames and Series.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 import copy
-from functools import partial
+from functools import (
+    partial,
+)
 import operator
 from typing import (
     TYPE_CHECKING,
@@ -19,7 +25,9 @@
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
 from pandas._typing import (
     Axis,
@@ -32,7 +40,9 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.util._decorators import (
     Substitution,
     doc,
@@ -48,10 +58,16 @@
     DataFrame,
     Series,
 )
-from pandas.core.generic import NDFrame
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.generic import (
+    NDFrame,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.formats.format import save_to_buffer
+from pandas.io.formats.format import (
+    save_to_buffer,
+)
 
 jinja2 = import_optional_dependency("jinja2", extra="DataFrame.style requires jinja2.")
 
@@ -69,7 +85,9 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.colors import Colormap
+    from matplotlib.colors import (
+        Colormap,
+    )
 
 try:
     import matplotlib as mpl
@@ -511,7 +529,9 @@ def to_excel(
         freeze_panes: tuple[int, int] | None = None,
         storage_options: StorageOptions = None,
     ) -> None:
-        from pandas.io.formats.excel import ExcelFormatter
+        from pandas.io.formats.excel import (
+            ExcelFormatter,
+        )
 
         formatter = ExcelFormatter(
             self,
diff --git a/pandas/io/formats/style_render.py b/pandas/io/formats/style_render.py
index c5262b9f52fc7..6a8ac9f39bcf2 100644
--- a/pandas/io/formats/style_render.py
+++ b/pandas/io/formats/style_render.py
@@ -1,7 +1,13 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
-from functools import partial
+from collections import (
+    defaultdict,
+)
+from functools import (
+    partial,
+)
 import re
 from typing import (
     Any,
@@ -15,25 +21,35 @@
     TypedDict,
     Union,
 )
-from uuid import uuid4
+from uuid import (
+    uuid4,
+)
 
 import numpy as np
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     Axis,
     Level,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 from pandas.core.dtypes.common import (
     is_complex,
     is_float,
     is_integer,
 )
-from pandas.core.dtypes.generic import ABCSeries
+from pandas.core.dtypes.generic import (
+    ABCSeries,
+)
 
 from pandas import (
     DataFrame,
@@ -43,11 +59,15 @@
     Series,
     isna,
 )
-from pandas.api.types import is_list_like
+from pandas.api.types import (
+    is_list_like,
+)
 import pandas.core.common as com
 
 jinja2 = import_optional_dependency("jinja2", extra="DataFrame.style requires jinja2.")
-from markupsafe import escape as escape_html  # markupsafe is jinja2 dependency
+from markupsafe import (  # markupsafe is jinja2 dependency
+    escape as escape_html,
+)
 
 BaseFormatter = Union[str, Callable]
 ExtFormatter = Union[BaseFormatter, Dict[Any, Optional[BaseFormatter]]]
diff --git a/pandas/io/formats/xml.py b/pandas/io/formats/xml.py
index cc258e0271031..3a918d6d67a15 100644
--- a/pandas/io/formats/xml.py
+++ b/pandas/io/formats/xml.py
@@ -1,7 +1,9 @@
 """
 :mod:`pandas.io.formats.xml` is a module for formatting data in XML.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import codecs
 import io
@@ -17,22 +19,36 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import doc
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.dtypes.common import is_list_like
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 from pandas.io.xml import (
     get_data_from_filepath,
     preprocess_data,
 )
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 @doc(
@@ -374,7 +390,9 @@ def build_tree(self) -> bytes:
         return self.out_xml
 
     def get_prefix_uri(self) -> str:
-        from xml.etree.ElementTree import register_namespace
+        from xml.etree.ElementTree import (
+            register_namespace,
+        )
 
         uri = ""
         if self.namespaces:
@@ -392,7 +410,9 @@ def get_prefix_uri(self) -> str:
         return uri
 
     def build_elems(self, d: dict[str, Any], elem_row: Any) -> None:
-        from xml.etree.ElementTree import SubElement
+        from xml.etree.ElementTree import (
+            SubElement,
+        )
 
         self._build_elems(SubElement, d, elem_row)
 
@@ -403,7 +423,9 @@ def prettify_tree(self) -> bytes:
         This method will pretty print xml with line breaks and indentation.
         """
 
-        from xml.dom.minidom import parseString
+        from xml.dom.minidom import (
+            parseString,
+        )
 
         dom = parseString(self.out_xml)
 
@@ -510,7 +532,9 @@ def get_prefix_uri(self) -> str:
         return uri
 
     def build_elems(self, d: dict[str, Any], elem_row: Any) -> None:
-        from lxml.etree import SubElement
+        from lxml.etree import (
+            SubElement,
+        )
 
         self._build_elems(SubElement, d, elem_row)
 
diff --git a/pandas/io/gbq.py b/pandas/io/gbq.py
index d6c73664ab6f2..cefe9fcfbf7c9 100644
--- a/pandas/io/gbq.py
+++ b/pandas/io/gbq.py
@@ -1,15 +1,21 @@
 """ Google BigQuery support """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
     Any,
 )
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 def _try_import():
diff --git a/pandas/io/html.py b/pandas/io/html.py
index d6d1c5651dd37..29ad65ac58163 100644
--- a/pandas/io/html.py
+++ b/pandas/io/html.py
@@ -4,9 +4,13 @@
 
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 import numbers
 import re
 from typing import (
@@ -18,26 +22,42 @@
     cast,
 )
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     BaseBuffer,
     FilePath,
     ReadBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.errors import (
     AbstractMethodError,
     EmptyDataError,
 )
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
-from pandas import isna
-from pandas.core.indexes.base import Index
-from pandas.core.indexes.multi import MultiIndex
-from pandas.core.series import Series
+from pandas import (
+    isna,
+)
+from pandas.core.indexes.base import (
+    Index,
+)
+from pandas.core.indexes.multi import (
+    MultiIndex,
+)
+from pandas.core.series import (
+    Series,
+)
 
 from pandas.io.common import (
     file_exists,
@@ -47,11 +67,17 @@
     urlopen,
     validate_header_arg,
 )
-from pandas.io.formats.printing import pprint_thing
-from pandas.io.parsers import TextParser
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
+from pandas.io.parsers import (
+    TextParser,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 #############
 # READ HTML #
@@ -574,7 +600,9 @@ class _BeautifulSoupHtml5LibFrameParser(_HtmlFrameParser):
 
     def __init__(self, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
-        from bs4 import SoupStrainer
+        from bs4 import (
+            SoupStrainer,
+        )
 
         self._strainer = SoupStrainer("table")
 
@@ -634,7 +662,9 @@ def _setup_build_doc(self):
         return raw_text
 
     def _build_doc(self):
-        from bs4 import BeautifulSoup
+        from bs4 import (
+            BeautifulSoup,
+        )
 
         bdoc = self._setup_build_doc()
         if isinstance(bdoc, bytes) and self.encoding is not None:
@@ -756,7 +786,9 @@ def _build_doc(self):
         --------
         pandas.io.html._HtmlFrameParser._build_doc
         """
-        from lxml.etree import XMLSyntaxError
+        from lxml.etree import (
+            XMLSyntaxError,
+        )
         from lxml.html import (
             HTMLParser,
             fromstring,
diff --git a/pandas/io/json/__init__.py b/pandas/io/json/__init__.py
index 52c65dd6f0c4e..5e3c69e53431b 100644
--- a/pandas/io/json/__init__.py
+++ b/pandas/io/json/__init__.py
@@ -4,7 +4,9 @@
     read_json,
     to_json,
 )
-from pandas.io.json._table_schema import build_table_schema
+from pandas.io.json._table_schema import (
+    build_table_schema,
+)
 
 __all__ = [
     "dumps",
diff --git a/pandas/io/json/_json.py b/pandas/io/json/_json.py
index 80d2f9eda7ce5..562a09098b596 100644
--- a/pandas/io/json/_json.py
+++ b/pandas/io/json/_json.py
@@ -1,13 +1,23 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
     abstractmethod,
 )
-from collections import abc
-from io import StringIO
-from itertools import islice
-from types import TracebackType
+from collections import (
+    abc,
+)
+from io import (
+    StringIO,
+)
+from itertools import (
+    islice,
+)
+from types import (
+    TracebackType,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -26,12 +36,16 @@
     using_nullable_dtypes,
 )
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.json import (
     dumps,
     loads,
 )
-from pandas._libs.tslibs import iNaT
+from pandas._libs.tslibs import (
+    iNaT,
+)
 from pandas._typing import (
     CompressionOptions,
     DtypeArg,
@@ -43,15 +57,23 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas.core.dtypes.common import (
     ensure_str,
     is_period_dtype,
 )
-from pandas.core.dtypes.generic import ABCIndex
+from pandas.core.dtypes.generic import (
+    ABCIndex,
+)
 
 from pandas import (
     DataFrame,
@@ -61,8 +83,12 @@
     notna,
     to_datetime,
 )
-from pandas.core.reshape.concat import concat
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.reshape.concat import (
+    concat,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
 from pandas.io.common import (
     IOHandles,
@@ -75,15 +101,21 @@
     is_url,
     stringify_path,
 )
-from pandas.io.json._normalize import convert_to_line_delimits
+from pandas.io.json._normalize import (
+    convert_to_line_delimits,
+)
 from pandas.io.json._table_schema import (
     build_table_schema,
     parse_table_schema,
 )
-from pandas.io.parsers.readers import validate_integer
+from pandas.io.parsers.readers import (
+    validate_integer,
+)
 
 if TYPE_CHECKING:
-    from pandas.core.generic import NDFrame
+    from pandas.core.generic import (
+        NDFrame,
+    )
 
 FrameSeriesStrT = TypeVar("FrameSeriesStrT", bound=Literal["frame", "series"])
 
@@ -961,7 +993,9 @@ def read(self) -> DataFrame | Series:
                 pa_table = pyarrow_json.read_json(self.data)
                 if self.use_nullable_dtypes:
                     if get_option("mode.dtype_backend") == "pyarrow":
-                        from pandas.arrays import ArrowExtensionArray
+                        from pandas.arrays import (
+                            ArrowExtensionArray,
+                        )
 
                         return DataFrame(
                             {
@@ -972,7 +1006,9 @@ def read(self) -> DataFrame | Series:
                             }
                         )
                     elif get_option("mode.dtype_backend") == "pandas":
-                        from pandas.io._util import _arrow_dtype_mapping
+                        from pandas.io._util import (
+                            _arrow_dtype_mapping,
+                        )
 
                         mapping = _arrow_dtype_mapping()
                         return pa_table.to_pandas(types_mapper=mapping.get)
diff --git a/pandas/io/json/_normalize.py b/pandas/io/json/_normalize.py
index 577d677e7b3a0..ed5cff6aa4e4e 100644
--- a/pandas/io/json/_normalize.py
+++ b/pandas/io/json/_normalize.py
@@ -1,6 +1,8 @@
 # ---------------------------------------------------------------------
 # JSON normalization routines
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from collections import (
     abc,
@@ -16,14 +18,18 @@
 
 import numpy as np
 
-from pandas._libs.writers import convert_json_to_lines
+from pandas._libs.writers import (
+    convert_json_to_lines,
+)
 from pandas._typing import (
     IgnoreRaise,
     Scalar,
 )
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 
 def convert_to_line_delimits(s: str) -> str:
@@ -149,7 +155,9 @@ def _normalise_json(
 
             if not key_string:
                 if sys.version_info < (3, 9):
-                    from pandas.util._str_methods import removeprefix
+                    from pandas.util._str_methods import (
+                        removeprefix,
+                    )
 
                     new_key = removeprefix(new_key, separator)
                 else:
diff --git a/pandas/io/json/_table_schema.py b/pandas/io/json/_table_schema.py
index 372aaf98c3b2c..bbaabae08f9e7 100644
--- a/pandas/io/json/_table_schema.py
+++ b/pandas/io/json/_table_schema.py
@@ -3,7 +3,9 @@
 
 https://specs.frictionlessdata.io/table-schema/
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -12,15 +14,23 @@
 )
 import warnings
 
-from pandas._libs.json import loads
-from pandas._libs.tslibs import timezones
+from pandas._libs.json import (
+    loads,
+)
+from pandas._libs.tslibs import (
+    timezones,
+)
 from pandas._typing import (
     DtypeObj,
     JSONSerializable,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.base import _registry as registry
+from pandas.core.dtypes.base import (
+    _registry as registry,
+)
 from pandas.core.dtypes.common import (
     is_bool_dtype,
     is_categorical_dtype,
@@ -33,14 +43,22 @@
     is_string_dtype,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas.core.common as com
 
 if TYPE_CHECKING:
-    from pandas import Series
-    from pandas.core.indexes.multi import MultiIndex
+    from pandas import (
+        Series,
+    )
+    from pandas.core.indexes.multi import (
+        MultiIndex,
+    )
 
 
 TABLE_SCHEMA_VERSION = "1.4.0"
diff --git a/pandas/io/orc.py b/pandas/io/orc.py
index 3999fc5840f02..b89a97ac9bd7f 100644
--- a/pandas/io/orc.py
+++ b/pandas/io/orc.py
@@ -1,8 +1,12 @@
 """ orc compat """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import io
-from types import ModuleType
+from types import (
+    ModuleType,
+)
 from typing import (
     Any,
     Literal,
@@ -13,16 +17,24 @@
     using_nullable_dtypes,
 )
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     FilePath,
     ReadBuffer,
     WriteBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
-from pandas.core.arrays import ArrowExtensionArray
-from pandas.core.frame import DataFrame
+from pandas.core.arrays import (
+    ArrowExtensionArray,
+)
+from pandas.core.frame import (
+    DataFrame,
+)
 
 from pandas.io.common import (
     get_handle,
@@ -125,7 +137,9 @@ def read_orc(
                 }
             )
         else:
-            from pandas.io._util import _arrow_dtype_mapping
+            from pandas.io._util import (
+                _arrow_dtype_mapping,
+            )
 
             mapping = _arrow_dtype_mapping()
             df = pa_table.to_pandas(types_mapper=mapping.get)
diff --git a/pandas/io/parquet.py b/pandas/io/parquet.py
index aec31f40f8570..dff6591d8d794 100644
--- a/pandas/io/parquet.py
+++ b/pandas/io/parquet.py
@@ -1,5 +1,7 @@
 """ parquet compat """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import io
 import os
@@ -7,20 +9,32 @@
     Any,
     Literal,
 )
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     FilePath,
     ReadBuffer,
     StorageOptions,
     WriteBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import doc
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
 from pandas import (
     DataFrame,
@@ -28,8 +42,12 @@
     arrays,
     get_option,
 )
-from pandas.core.shared_docs import _shared_docs
-from pandas.util.version import Version
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
+from pandas.util.version import (
+    Version,
+)
 
 from pandas.io.common import (
     IOHandles,
@@ -228,7 +246,9 @@ def read(
         to_pandas_kwargs = {}
         if use_nullable_dtypes:
             if dtype_backend == "pandas":
-                from pandas.io._util import _arrow_dtype_mapping
+                from pandas.io._util import (
+                    _arrow_dtype_mapping,
+                )
 
                 mapping = _arrow_dtype_mapping()
                 to_pandas_kwargs["types_mapper"] = mapping.get
diff --git a/pandas/io/parsers/arrow_parser_wrapper.py b/pandas/io/parsers/arrow_parser_wrapper.py
index 420b6212f857a..55f15ac37b903 100644
--- a/pandas/io/parsers/arrow_parser_wrapper.py
+++ b/pandas/io/parsers/arrow_parser_wrapper.py
@@ -1,9 +1,17 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pandas._typing import ReadBuffer
-from pandas.compat._optional import import_optional_dependency
+from pandas._typing import (
+    ReadBuffer,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
-from pandas.core.dtypes.inference import is_integer
+from pandas.core.dtypes.inference import (
+    is_integer,
+)
 
 from pandas import (
     DataFrame,
@@ -11,7 +19,9 @@
     get_option,
 )
 
-from pandas.io.parsers.base_parser import ParserBase
+from pandas.io.parsers.base_parser import (
+    ParserBase,
+)
 
 
 class ArrowParserWrapper(ParserBase):
diff --git a/pandas/io/parsers/base_parser.py b/pandas/io/parsers/base_parser.py
index 8d71ce6dff7f8..1b645c8dab292 100644
--- a/pandas/io/parsers/base_parser.py
+++ b/pandas/io/parsers/base_parser.py
@@ -1,10 +1,18 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
-from copy import copy
+from collections import (
+    defaultdict,
+)
+from copy import (
+    copy,
+)
 import csv
 import datetime
-from enum import Enum
+from enum import (
+    Enum,
+)
 import itertools
 from typing import (
     TYPE_CHECKING,
@@ -25,29 +33,41 @@
 
 import numpy as np
 
-from pandas._config.config import get_option
+from pandas._config.config import (
+    get_option,
+)
 
 from pandas._libs import (
     lib,
     parsers,
 )
 import pandas._libs.ops as libops
-from pandas._libs.parsers import STR_NA_VALUES
-from pandas._libs.tslibs import parsing
+from pandas._libs.parsers import (
+    STR_NA_VALUES,
+)
+from pandas._libs.tslibs import (
+    parsing,
+)
 from pandas._typing import (
     ArrayLike,
     DtypeArg,
     DtypeObj,
     Scalar,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.errors import (
     ParserError,
     ParserWarning,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 from pandas.core.dtypes.common import (
     ensure_object,
     is_bool_dtype,
@@ -67,10 +87,16 @@
     CategoricalDtype,
     ExtensionDtype,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas import StringDtype
-from pandas.core import algorithms
+from pandas import (
+    StringDtype,
+)
+from pandas.core import (
+    algorithms,
+)
 from pandas.core.arrays import (
     ArrowExtensionArray,
     BooleanArray,
@@ -85,13 +111,21 @@
     default_index,
     ensure_index_from_sequences,
 )
-from pandas.core.series import Series
-from pandas.core.tools import datetimes as tools
+from pandas.core.series import (
+    Series,
+)
+from pandas.core.tools import (
+    datetimes as tools,
+)
 
-from pandas.io.common import is_potential_multi_index
+from pandas.io.common import (
+    is_potential_multi_index,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 class ParserBase:
diff --git a/pandas/io/parsers/c_parser_wrapper.py b/pandas/io/parsers/c_parser_wrapper.py
index c10f1811751cd..52a1f01043038 100644
--- a/pandas/io/parsers/c_parser_wrapper.py
+++ b/pandas/io/parsers/c_parser_wrapper.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import defaultdict
+from collections import (
+    defaultdict,
+)
 from typing import (
     TYPE_CHECKING,
     Hashable,
@@ -11,27 +15,43 @@
 
 import numpy as np
 
-from pandas._config.config import get_option
+from pandas._config.config import (
+    get_option,
+)
 
-from pandas._libs import parsers
+from pandas._libs import (
+    parsers,
+)
 from pandas._typing import (
     ArrayLike,
     DtypeArg,
     DtypeObj,
     ReadCsvBuffer,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.errors import DtypeWarning
-from pandas.util._exceptions import find_stack_level
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.errors import (
+    DtypeWarning,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.concat import union_categoricals
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.concat import (
+    union_categoricals,
+)
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 
-from pandas.core.indexes.api import ensure_index_from_sequences
+from pandas.core.indexes.api import (
+    ensure_index_from_sequences,
+)
 
 from pandas.io.common import (
     dedup_names,
diff --git a/pandas/io/parsers/python_parser.py b/pandas/io/parsers/python_parser.py
index 263966269c0fa..6c22ccbe1296d 100644
--- a/pandas/io/parsers/python_parser.py
+++ b/pandas/io/parsers/python_parser.py
@@ -1,11 +1,15 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from collections import (
     abc,
     defaultdict,
 )
 import csv
-from io import StringIO
+from io import (
+    StringIO,
+)
 import re
 import sys
 from typing import (
@@ -23,7 +27,9 @@
 
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     ArrayLike,
     ReadCsvBuffer,
@@ -34,8 +40,12 @@
     ParserError,
 )
 
-from pandas.core.dtypes.common import is_integer
-from pandas.core.dtypes.inference import is_dict_like
+from pandas.core.dtypes.common import (
+    is_integer,
+)
+from pandas.core.dtypes.inference import (
+    is_dict_like,
+)
 
 from pandas.io.common import (
     dedup_names,
diff --git a/pandas/io/parsers/readers.py b/pandas/io/parsers/readers.py
index 635c98e38da16..70046430105b8 100644
--- a/pandas/io/parsers/readers.py
+++ b/pandas/io/parsers/readers.py
@@ -3,13 +3,21 @@
 
 GH#48849 provides a convenient way of deprecating keyword arguments
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 import csv
 import sys
-from textwrap import fill
-from types import TracebackType
+from textwrap import (
+    fill,
+)
+from types import (
+    TracebackType,
+)
 from typing import (
     IO,
     Any,
@@ -24,10 +32,16 @@
 
 import numpy as np
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
-from pandas._libs.parsers import STR_NA_VALUES
+from pandas._libs import (
+    lib,
+)
+from pandas._libs.parsers import (
+    STR_NA_VALUES,
+)
 from pandas._typing import (
     CompressionOptions,
     CSVEngine,
@@ -41,8 +55,12 @@
     AbstractMethodError,
     ParserWarning,
 )
-from pandas.util._decorators import Appender
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    Appender,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_file_like,
@@ -51,9 +69,15 @@
     is_list_like,
 )
 
-from pandas.core.frame import DataFrame
-from pandas.core.indexes.api import RangeIndex
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.indexes.api import (
+    RangeIndex,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
 from pandas.io.common import (
     IOHandles,
@@ -61,13 +85,17 @@
     stringify_path,
     validate_header_arg,
 )
-from pandas.io.parsers.arrow_parser_wrapper import ArrowParserWrapper
+from pandas.io.parsers.arrow_parser_wrapper import (
+    ArrowParserWrapper,
+)
 from pandas.io.parsers.base_parser import (
     ParserBase,
     is_index_col,
     parser_defaults,
 )
-from pandas.io.parsers.c_parser_wrapper import CParserWrapper
+from pandas.io.parsers.c_parser_wrapper import (
+    CParserWrapper,
+)
 from pandas.io.parsers.python_parser import (
     FixedWidthFieldParser,
     PythonParser,
diff --git a/pandas/io/pickle.py b/pandas/io/pickle.py
index a9ab925536d11..25a3c6ea24e0d 100644
--- a/pandas/io/pickle.py
+++ b/pandas/io/pickle.py
@@ -1,8 +1,12 @@
 """ pickle compat """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import pickle
-from typing import Any
+from typing import (
+    Any,
+)
 import warnings
 
 from pandas._typing import (
@@ -12,12 +16,20 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.compat import pickle_compat as pc
-from pandas.util._decorators import doc
+from pandas.compat import (
+    pickle_compat as pc,
+)
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 
 @doc(
diff --git a/pandas/io/pytables.py b/pandas/io/pytables.py
index a813a0e285027..4a78b10b0d2bb 100644
--- a/pandas/io/pytables.py
+++ b/pandas/io/pytables.py
@@ -2,9 +2,13 @@
 High level interface to PyTables for reading and writing pandas data structures
 to disk
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import suppress
+from contextlib import (
+    suppress,
+)
 import copy
 from datetime import (
     date,
@@ -13,8 +17,12 @@
 import itertools
 import os
 import re
-from textwrap import dedent
-from types import TracebackType
+from textwrap import (
+    dedent,
+)
+from types import (
+    TracebackType,
+)
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -40,7 +48,9 @@
     lib,
     writers as libwriters,
 )
-from pandas._libs.tslibs import timezones
+from pandas._libs.tslibs import (
+    timezones,
+)
 from pandas._typing import (
     AnyArrayLike,
     ArrayLike,
@@ -50,8 +60,12 @@
     Shape,
     npt,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.compat.pickle_compat import patch_pickle
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.compat.pickle_compat import (
+    patch_pickle,
+)
 from pandas.errors import (
     AttributeConflictWarning,
     ClosedFileError,
@@ -59,8 +73,12 @@
     PerformanceWarning,
     PossibleDataLossError,
 )
-from pandas.util._decorators import cache_readonly
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    cache_readonly,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     ensure_object,
@@ -77,7 +95,9 @@
     is_timedelta64_dtype,
     needs_i8_conversion,
 )
-from pandas.core.dtypes.missing import array_equivalent
+from pandas.core.dtypes.missing import (
+    array_equivalent,
+)
 
 from pandas import (
     DataFrame,
@@ -101,14 +121,20 @@
     PyTablesExpr,
     maybe_expression,
 )
-from pandas.core.construction import extract_array
-from pandas.core.indexes.api import ensure_index
+from pandas.core.construction import (
+    extract_array,
+)
+from pandas.core.indexes.api import (
+    ensure_index,
+)
 from pandas.core.internals import (
     ArrayManager,
     BlockManager,
 )
 
-from pandas.io.common import stringify_path
+from pandas.io.common import (
+    stringify_path,
+)
 from pandas.io.formats.printing import (
     adjoin,
     pprint_thing,
@@ -121,7 +147,9 @@
         Node,
     )
 
-    from pandas.core.internals import Block
+    from pandas.core.internals import (
+        Block,
+    )
 
 
 # versioning attribute
diff --git a/pandas/io/sas/__init__.py b/pandas/io/sas/__init__.py
index 317730745b6e3..f52eb44667e4e 100644
--- a/pandas/io/sas/__init__.py
+++ b/pandas/io/sas/__init__.py
@@ -1,3 +1,5 @@
-from pandas.io.sas.sasreader import read_sas
+from pandas.io.sas.sasreader import (
+    read_sas,
+)
 
 __all__ = ["read_sas"]
diff --git a/pandas/io/sas/_sas.pyi b/pandas/io/sas/_sas.pyi
index 5d65e2b56b591..18027f22d9fb7 100644
--- a/pandas/io/sas/_sas.pyi
+++ b/pandas/io/sas/_sas.pyi
@@ -1,4 +1,6 @@
-from pandas.io.sas.sas7bdat import SAS7BDATReader
+from pandas.io.sas.sas7bdat import (
+    SAS7BDATReader,
+)
 
 class Parser:
     def __init__(self, parser: SAS7BDATReader) -> None: ...
diff --git a/pandas/io/sas/byteswap.pyx b/pandas/io/sas/byteswap.pyx
index 511af5140b563..bff31d51ef7a8 100644
--- a/pandas/io/sas/byteswap.pyx
+++ b/pandas/io/sas/byteswap.pyx
@@ -4,7 +4,9 @@ function calls.
 
 In the SAS7BDAT parser, they may be called up to (n_rows * n_cols) times.
 """
-from cython cimport Py_ssize_t
+from cython cimport (
+    Py_ssize_t,
+)
 from libc.stdint cimport (
     uint16_t,
     uint32_t,
diff --git a/pandas/io/sas/sas.pyx b/pandas/io/sas/sas.pyx
index cf2e0e4d80bb5..168d375981226 100644
--- a/pandas/io/sas/sas.pyx
+++ b/pandas/io/sas/sas.pyx
@@ -1,7 +1,11 @@
 # cython: language_level=3, initializedcheck=False
 # cython: warn.maybe_uninitialized=True, warn.unused=True
-from cython cimport Py_ssize_t
-from libc.stddef cimport size_t
+from cython cimport (
+    Py_ssize_t,
+)
+from libc.stddef cimport (
+    size_t,
+)
 from libc.stdint cimport (
     int64_t,
     uint8_t,
diff --git a/pandas/io/sas/sas7bdat.py b/pandas/io/sas/sas7bdat.py
index 7fd93e7ed0e23..6925584ccc3b6 100644
--- a/pandas/io/sas/sas7bdat.py
+++ b/pandas/io/sas/sas7bdat.py
@@ -13,15 +13,21 @@
 Reference for binary data compression:
   http://collaboration.cmc.ec.gc.ca/science/rpn/biblio/ddj/Website/articles/CUJ/1992/9210/ross/ross.htm
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 from datetime import (
     datetime,
     timedelta,
 )
 import sys
-from typing import cast
+from typing import (
+    cast,
+)
 
 import numpy as np
 
@@ -41,7 +47,9 @@
     isna,
 )
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 from pandas.io.sas._byteswap import (
     read_double_with_byteswap,
     read_float_with_byteswap,
@@ -54,7 +62,9 @@
     get_subheader_index,
 )
 import pandas.io.sas.sas_constants as const
-from pandas.io.sas.sasreader import ReaderBase
+from pandas.io.sas.sasreader import (
+    ReaderBase,
+)
 
 
 def _parse_datetime(sas_datetime: float, unit: str):
diff --git a/pandas/io/sas/sas_constants.py b/pandas/io/sas/sas_constants.py
index 62c17bd03927e..53457446baac4 100644
--- a/pandas/io/sas/sas_constants.py
+++ b/pandas/io/sas/sas_constants.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Final
+from typing import (
+    Final,
+)
 
 magic: Final = (
     b"\x00\x00\x00\x00\x00\x00\x00\x00"
diff --git a/pandas/io/sas/sas_xport.py b/pandas/io/sas/sas_xport.py
index 6767dec6e4528..5030684deb54f 100644
--- a/pandas/io/sas/sas_xport.py
+++ b/pandas/io/sas/sas_xport.py
@@ -7,10 +7,16 @@
 
 https://support.sas.com/content/dam/SAS/support/en/technical-papers/record-layout-of-a-sas-version-5-or-6-data-set-in-sas-transport-xport-format.pdf
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
-from datetime import datetime
+from collections import (
+    abc,
+)
+from datetime import (
+    datetime,
+)
 import struct
 import warnings
 
@@ -22,13 +28,21 @@
     FilePath,
     ReadBuffer,
 )
-from pandas.util._decorators import Appender
-from pandas.util._exceptions import find_stack_level
+from pandas.util._decorators import (
+    Appender,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 import pandas as pd
 
-from pandas.io.common import get_handle
-from pandas.io.sas.sasreader import ReaderBase
+from pandas.io.common import (
+    get_handle,
+)
+from pandas.io.sas.sasreader import (
+    ReaderBase,
+)
 
 _correct_line1 = (
     "HEADER RECORD*******LIBRARY HEADER RECORD!!!!!!!"
diff --git a/pandas/io/sas/sasreader.py b/pandas/io/sas/sasreader.py
index 22910484876a6..5b884823042a8 100644
--- a/pandas/io/sas/sasreader.py
+++ b/pandas/io/sas/sasreader.py
@@ -1,13 +1,17 @@
 """
 Read SAS sas7bdat or xport files.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABCMeta,
     abstractmethod,
 )
-from types import TracebackType
+from types import (
+    TracebackType,
+)
 from typing import (
     TYPE_CHECKING,
     Hashable,
@@ -19,14 +23,22 @@
     FilePath,
     ReadBuffer,
 )
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.common import stringify_path
+from pandas.io.common import (
+    stringify_path,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 # TODO(PY38): replace with Protocol in Python 3.8
@@ -151,7 +163,9 @@ def read_sas(
 
     reader: ReaderBase
     if format.lower() == "xport":
-        from pandas.io.sas.sas_xport import XportReader
+        from pandas.io.sas.sas_xport import (
+            XportReader,
+        )
 
         reader = XportReader(
             filepath_or_buffer,
@@ -161,7 +175,9 @@ def read_sas(
             compression=compression,
         )
     elif format.lower() == "sas7bdat":
-        from pandas.io.sas.sas7bdat import SAS7BDATReader
+        from pandas.io.sas.sas7bdat import (
+            SAS7BDATReader,
+        )
 
         reader = SAS7BDATReader(
             filepath_or_buffer,
diff --git a/pandas/io/spss.py b/pandas/io/spss.py
index bb9ace600e6f2..699880e7e0409 100644
--- a/pandas/io/spss.py
+++ b/pandas/io/spss.py
@@ -1,22 +1,38 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 from typing import (
     TYPE_CHECKING,
     Sequence,
 )
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
-from pandas.compat._optional import import_optional_dependency
+from pandas._libs import (
+    lib,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
-from pandas.core.dtypes.inference import is_list_like
+from pandas.core.dtypes.inference import (
+    is_list_like,
+)
 
-from pandas.io.common import stringify_path
+from pandas.io.common import (
+    stringify_path,
+)
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 def read_spss(
diff --git a/pandas/io/sql.py b/pandas/io/sql.py
index 7dedd705f8c70..a0d349b7b9e2d 100644
--- a/pandas/io/sql.py
+++ b/pandas/io/sql.py
@@ -3,7 +3,9 @@
 retrieval and to reduce dependency on DB-specific API.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
@@ -18,7 +20,9 @@
     datetime,
     time,
 )
-from functools import partial
+from functools import (
+    partial,
+)
 import re
 from typing import (
     TYPE_CHECKING,
@@ -32,20 +36,28 @@
 
 import numpy as np
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     DateTimeErrorChoices,
     DtypeArg,
     IndexLabel,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.errors import (
     AbstractMethodError,
     DatabaseError,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64tz_dtype,
@@ -53,22 +65,38 @@
     is_integer,
     is_list_like,
 )
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
-from pandas import get_option
+from pandas import (
+    get_option,
+)
 from pandas.core.api import (
     DataFrame,
     Series,
 )
-from pandas.core.arrays import ArrowExtensionArray
-from pandas.core.base import PandasObject
+from pandas.core.arrays import (
+    ArrowExtensionArray,
+)
+from pandas.core.base import (
+    PandasObject,
+)
 import pandas.core.common as com
-from pandas.core.internals.construction import convert_object_array
-from pandas.core.tools.datetimes import to_datetime
+from pandas.core.internals.construction import (
+    convert_object_array,
+)
+from pandas.core.tools.datetimes import (
+    to_datetime,
+)
 
 if TYPE_CHECKING:
-    from sqlalchemy import Table
+    from sqlalchemy import (
+        Table,
+    )
     from sqlalchemy.sql.expression import (
         Select,
         TextClause,
@@ -908,7 +936,9 @@ def exists(self):
         return self.pd_sql.has_table(self.name, self.schema)
 
     def sql_schema(self) -> str:
-        from sqlalchemy.schema import CreateTable
+        from sqlalchemy.schema import (
+            CreateTable,
+        )
 
         return str(CreateTable(self.table).compile(self.pd_sql.con))
 
@@ -957,7 +987,9 @@ def _execute_insert_multi(self, conn, keys: list[str], data_iter) -> int:
         but performance degrades quickly with increase of columns.
         """
 
-        from sqlalchemy import insert
+        from sqlalchemy import (
+            insert,
+        )
 
         data = [dict(zip(keys, row)) for row in data_iter]
         stmt = insert(self.table).values(data)
@@ -1091,7 +1123,9 @@ def read(
         chunksize=None,
         use_nullable_dtypes: bool = False,
     ) -> DataFrame | Iterator[DataFrame]:
-        from sqlalchemy import select
+        from sqlalchemy import (
+            select,
+        )
 
         if columns is not None and len(columns) > 0:
             cols = [self.table.c[n] for n in columns]
@@ -1181,7 +1215,9 @@ def _create_table_setup(self):
             PrimaryKeyConstraint,
             Table,
         )
-        from sqlalchemy.schema import MetaData
+        from sqlalchemy.schema import (
+            MetaData,
+        )
 
         column_names_and_types = self._get_column_names_and_types(self._sqlalchemy_type)
 
@@ -1470,7 +1506,9 @@ def insert_records(
         method=None,
         **engine_kwargs,
     ) -> int | None:
-        from sqlalchemy import exc
+        from sqlalchemy import (
+            exc,
+        )
 
         try:
             return table.insert(chunksize=chunksize, method=method)
@@ -1538,9 +1576,15 @@ class SQLDatabase(PandasSQL):
     def __init__(
         self, con, schema: str | None = None, need_transaction: bool = False
     ) -> None:
-        from sqlalchemy import create_engine
-        from sqlalchemy.engine import Engine
-        from sqlalchemy.schema import MetaData
+        from sqlalchemy import (
+            create_engine,
+        )
+        from sqlalchemy.engine import (
+            Engine,
+        )
+        from sqlalchemy.schema import (
+            MetaData,
+        )
 
         # self.exit_stack cleans up the Engine and Connection and commits the
         # transaction if any of those objects was created below.
@@ -1811,7 +1855,9 @@ def prep_table(
             else:
                 dtype = cast(dict, dtype)
 
-            from sqlalchemy.types import TypeEngine
+            from sqlalchemy.types import (
+                TypeEngine,
+            )
 
             for col, my_type in dtype.items():
                 if isinstance(my_type, type) and issubclass(my_type, TypeEngine):
@@ -1846,7 +1892,9 @@ def check_case_sensitive(
         if not name.isdigit() and not name.islower():
             # check for potentially case sensitivity issues (GH7815)
             # Only check when name is not a number and name is not lower case
-            from sqlalchemy import inspect as sqlalchemy_inspect
+            from sqlalchemy import (
+                inspect as sqlalchemy_inspect,
+            )
 
             insp = sqlalchemy_inspect(self.con)
             table_names = insp.get_table_names(schema=schema or self.meta.schema)
@@ -1957,7 +2005,9 @@ def tables(self):
         return self.meta.tables
 
     def has_table(self, name: str, schema: str | None = None) -> bool:
-        from sqlalchemy import inspect as sqlalchemy_inspect
+        from sqlalchemy import (
+            inspect as sqlalchemy_inspect,
+        )
 
         insp = sqlalchemy_inspect(self.con)
         return insp.has_table(name, schema or self.meta.schema)
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index 5cc13892224c5..76d43d16c8190 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -9,15 +9,23 @@
 You can find more information on http://presbrey.mit.edu/PyDTA and
 https://www.statsmodels.org/devel/
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
+from collections import (
+    abc,
+)
 import datetime
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 import os
 import struct
 import sys
-from types import TracebackType
+from types import (
+    TracebackType,
+)
 from typing import (
     IO,
     TYPE_CHECKING,
@@ -31,11 +39,17 @@
 )
 import warnings
 
-from dateutil.relativedelta import relativedelta
+from dateutil.relativedelta import (
+    relativedelta,
+)
 import numpy as np
 
-from pandas._libs.lib import infer_dtype
-from pandas._libs.writers import max_len_string_array
+from pandas._libs.lib import (
+    infer_dtype,
+)
+from pandas._libs.writers import (
+    max_len_string_array,
+)
 from pandas._typing import (
     CompressionOptions,
     FilePath,
@@ -53,7 +67,9 @@
     Appender,
     doc,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     ensure_object,
@@ -71,17 +87,33 @@
     to_datetime,
     to_timedelta,
 )
-from pandas.core.arrays.boolean import BooleanDtype
-from pandas.core.arrays.integer import IntegerDtype
-from pandas.core.frame import DataFrame
-from pandas.core.indexes.base import Index
-from pandas.core.series import Series
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.arrays.boolean import (
+    BooleanDtype,
+)
+from pandas.core.arrays.integer import (
+    IntegerDtype,
+)
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.core.indexes.base import (
+    Index,
+)
+from pandas.core.series import (
+    Series,
+)
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 if TYPE_CHECKING:
-    from typing import Literal
+    from typing import (
+        Literal,
+    )
 
 _version_error = (
     "Version of given Stata file is {version}. pandas supports importing "
diff --git a/pandas/io/xml.py b/pandas/io/xml.py
index 90d67ac45d4fd..cd29507342f68 100644
--- a/pandas/io/xml.py
+++ b/pandas/io/xml.py
@@ -2,7 +2,9 @@
 :mod:`pandas.io.xml` is a module for reading XML.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import io
 from typing import (
@@ -11,9 +13,13 @@
     Sequence,
 )
 
-from pandas._config import using_nullable_dtypes
+from pandas._config import (
+    using_nullable_dtypes,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._typing import (
     TYPE_CHECKING,
     CompressionOptions,
@@ -25,16 +31,24 @@
     StorageOptions,
     XMLParsers,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.errors import (
     AbstractMethodError,
     ParserError,
 )
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+)
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
-from pandas.core.shared_docs import _shared_docs
+from pandas.core.shared_docs import (
+    _shared_docs,
+)
 
 from pandas.io.common import (
     file_exists,
@@ -44,14 +58,22 @@
     is_url,
     stringify_path,
 )
-from pandas.io.parsers import TextParser
+from pandas.io.parsers import (
+    TextParser,
+)
 
 if TYPE_CHECKING:
-    from xml.etree.ElementTree import Element
+    from xml.etree.ElementTree import (
+        Element,
+    )
 
-    from lxml import etree
+    from lxml import (
+        etree,
+    )
 
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 @doc(
@@ -439,7 +461,9 @@ class _EtreeFrameParser(_XMLFrameParser):
     """
 
     def parse_data(self) -> list[dict[str, str | None]]:
-        from xml.etree.ElementTree import iterparse
+        from xml.etree.ElementTree import (
+            iterparse,
+        )
 
         if self.stylesheet is not None:
             raise ValueError(
@@ -558,7 +582,9 @@ def parse_data(self) -> list[dict[str, str | None]]:
         validate xpath, names, optionally parse and run XSLT,
         and parse original or transformed XML and return specific nodes.
         """
-        from lxml.etree import iterparse
+        from lxml.etree import (
+            iterparse,
+        )
 
         if self.iterparse is None:
             self.xml_doc = self._parse_doc(self.path_or_buffer)
@@ -668,7 +694,9 @@ def _transform_doc(self) -> etree._XSLTResultTree:
         am ideally flatter xml document for easier parsing and migration
         to Data Frame.
         """
-        from lxml.etree import XSLT
+        from lxml.etree import (
+            XSLT,
+        )
 
         transformer = XSLT(self.xsl_doc)
         new_doc = transformer(self.xml_doc)
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index 51c95808506a8..b53ce7570cffd 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import importlib
 import types
@@ -7,9 +9,13 @@
     Sequence,
 )
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._typing import IndexLabel
+from pandas._typing import (
+    IndexLabel,
+)
 from pandas.util._decorators import (
     Appender,
     Substitution,
@@ -24,12 +30,18 @@
     ABCSeries,
 )
 
-from pandas.core.base import PandasObject
+from pandas.core.base import (
+    PandasObject,
+)
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
+    from matplotlib.axes import (
+        Axes,
+    )
 
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 def hist_series(
@@ -1783,7 +1795,9 @@ def _load_backend(backend: str) -> types.ModuleType:
     types.ModuleType
         The imported backend.
     """
-    from importlib.metadata import entry_points
+    from importlib.metadata import (
+        entry_points,
+    )
 
     if backend == "matplotlib":
         # Because matplotlib is an optional dependency and first-party backend,
diff --git a/pandas/plotting/_matplotlib/__init__.py b/pandas/plotting/_matplotlib/__init__.py
index 75c61da03795a..89ef0230f1998 100644
--- a/pandas/plotting/_matplotlib/__init__.py
+++ b/pandas/plotting/_matplotlib/__init__.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 from pandas.plotting._matplotlib.boxplot import (
     BoxPlot,
@@ -36,10 +40,14 @@
     radviz,
     scatter_matrix,
 )
-from pandas.plotting._matplotlib.tools import table
+from pandas.plotting._matplotlib.tools import (
+    table,
+)
 
 if TYPE_CHECKING:
-    from pandas.plotting._matplotlib.core import MPLPlot
+    from pandas.plotting._matplotlib.core import (
+        MPLPlot,
+    )
 
 PLOT_CLASSES: dict[str, type[MPLPlot]] = {
     "line": LinePlot,
diff --git a/pandas/plotting/_matplotlib/boxplot.py b/pandas/plotting/_matplotlib/boxplot.py
index e2f30da1b839c..f9b4d94cb13fa 100644
--- a/pandas/plotting/_matplotlib/boxplot.py
+++ b/pandas/plotting/_matplotlib/boxplot.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -8,25 +10,41 @@
 )
 import warnings
 
-from matplotlib.artist import setp
+from matplotlib.artist import (
+    setp,
+)
 import numpy as np
 
-from pandas._typing import MatplotlibColor
-from pandas.util._exceptions import find_stack_level
+from pandas._typing import (
+    MatplotlibColor,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.common import is_dict_like
-from pandas.core.dtypes.missing import remove_na_arraylike
+from pandas.core.dtypes.common import (
+    is_dict_like,
+)
+from pandas.core.dtypes.missing import (
+    remove_na_arraylike,
+)
 
 import pandas as pd
 import pandas.core.common as com
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 from pandas.plotting._matplotlib.core import (
     LinePlot,
     MPLPlot,
 )
-from pandas.plotting._matplotlib.groupby import create_iter_data_given_by
-from pandas.plotting._matplotlib.style import get_standard_colors
+from pandas.plotting._matplotlib.groupby import (
+    create_iter_data_given_by,
+)
+from pandas.plotting._matplotlib.style import (
+    get_standard_colors,
+)
 from pandas.plotting._matplotlib.tools import (
     create_subplots,
     flatten_axes,
@@ -34,8 +52,12 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
-    from matplotlib.lines import Line2D
+    from matplotlib.axes import (
+        Axes,
+    )
+    from matplotlib.lines import (
+        Line2D,
+    )
 
 
 class BoxPlot(LinePlot):
diff --git a/pandas/plotting/_matplotlib/converter.py b/pandas/plotting/_matplotlib/converter.py
index 9b0fe99e2d61e..cbeea444c0891 100644
--- a/pandas/plotting/_matplotlib/converter.py
+++ b/pandas/plotting/_matplotlib/converter.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import contextlib
 import datetime as pydt
@@ -16,24 +18,34 @@
     cast,
 )
 
-from dateutil.relativedelta import relativedelta
+from dateutil.relativedelta import (
+    relativedelta,
+)
 import matplotlib.dates as mdates
 from matplotlib.ticker import (
     AutoLocator,
     Formatter,
     Locator,
 )
-from matplotlib.transforms import nonsingular
+from matplotlib.transforms import (
+    nonsingular,
+)
 import matplotlib.units as munits
 import numpy as np
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.tslibs import (
     Timestamp,
     to_offset,
 )
-from pandas._libs.tslibs.dtypes import FreqGroup
-from pandas._typing import F
+from pandas._libs.tslibs.dtypes import (
+    FreqGroup,
+)
+from pandas._typing import (
+    F,
+)
 
 from pandas.core.dtypes.common import (
     is_float,
@@ -49,7 +61,9 @@
     get_option,
 )
 import pandas.core.common as com
-from pandas.core.indexes.datetimes import date_range
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 from pandas.core.indexes.period import (
     Period,
     PeriodIndex,
@@ -58,7 +72,9 @@
 import pandas.core.tools.datetimes as tools
 
 if TYPE_CHECKING:
-    from pandas._libs.tslibs.offsets import BaseOffset
+    from pandas._libs.tslibs.offsets import (
+        BaseOffset,
+    )
 
 # constants
 HOURS_PER_DAY: Final = 24.0
diff --git a/pandas/plotting/_matplotlib/core.py b/pandas/plotting/_matplotlib/core.py
index 754cc94b6ded6..586fe091075e0 100644
--- a/pandas/plotting/_matplotlib/core.py
+++ b/pandas/plotting/_matplotlib/core.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from abc import (
     ABC,
@@ -14,7 +16,9 @@
 import warnings
 
 import matplotlib as mpl
-from matplotlib.artist import Artist
+from matplotlib.artist import (
+    Artist,
+)
 import numpy as np
 
 from pandas._typing import (
@@ -22,9 +26,15 @@
     PlottingOrientation,
     npt,
 )
-from pandas.errors import AbstractMethodError
-from pandas.util._decorators import cache_readonly
-from pandas.util._exceptions import find_stack_level
+from pandas.errors import (
+    AbstractMethodError,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 from pandas.core.dtypes.common import (
     is_any_real_numeric_dtype,
@@ -53,15 +63,31 @@
 )
 
 import pandas.core.common as com
-from pandas.core.frame import DataFrame
-from pandas.util.version import Version
-
-from pandas.io.formats.printing import pprint_thing
-from pandas.plotting._matplotlib import tools
-from pandas.plotting._matplotlib.converter import register_pandas_matplotlib_converters
-from pandas.plotting._matplotlib.groupby import reconstruct_data_with_by
-from pandas.plotting._matplotlib.misc import unpack_single_str_list
-from pandas.plotting._matplotlib.style import get_standard_colors
+from pandas.core.frame import (
+    DataFrame,
+)
+from pandas.util.version import (
+    Version,
+)
+
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
+from pandas.plotting._matplotlib import (
+    tools,
+)
+from pandas.plotting._matplotlib.converter import (
+    register_pandas_matplotlib_converters,
+)
+from pandas.plotting._matplotlib.groupby import (
+    reconstruct_data_with_by,
+)
+from pandas.plotting._matplotlib.misc import (
+    unpack_single_str_list,
+)
+from pandas.plotting._matplotlib.style import (
+    get_standard_colors,
+)
 from pandas.plotting._matplotlib.timeseries import (
     decorate_axes,
     format_dateaxis,
@@ -79,15 +105,21 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
-    from matplotlib.axis import Axis
+    from matplotlib.axes import (
+        Axes,
+    )
+    from matplotlib.axis import (
+        Axis,
+    )
 
 
 def _color_in_style(style: str) -> bool:
     """
     Check if there is a color letter in the style string.
     """
-    from matplotlib.colors import BASE_COLORS
+    from matplotlib.colors import (
+        BASE_COLORS,
+    )
 
     return not set(BASE_COLORS).isdisjoint(style)
 
@@ -1109,7 +1141,9 @@ def _get_errorbars(
         return errors
 
     def _get_subplots(self):
-        from matplotlib.axes import Subplot
+        from matplotlib.axes import (
+            Subplot,
+        )
 
         return [
             ax for ax in self.axes[0].get_figure().get_axes() if isinstance(ax, Subplot)
@@ -1235,7 +1269,9 @@ def _make_plot(self):
                 cmap = None
 
         if color_by_categorical:
-            from matplotlib import colors
+            from matplotlib import (
+                colors,
+            )
 
             n_cats = len(self.data[c].cat.categories)
             cmap = colors.ListedColormap([cmap(i) for i in range(cmap.N)])
@@ -1332,7 +1368,9 @@ def _kind(self) -> Literal["line", "area", "hist", "kde", "box"]:
         return "line"
 
     def __init__(self, data, **kwargs) -> None:
-        from pandas.plotting import plot_params
+        from pandas.plotting import (
+            plot_params,
+        )
 
         MPLPlot.__init__(self, data, **kwargs)
         if self.stacked:
@@ -1481,7 +1519,9 @@ def _args_adjust(self) -> None:
         pass
 
     def _post_plot_logic(self, ax: Axes, data) -> None:
-        from matplotlib.ticker import FixedLocator
+        from matplotlib.ticker import (
+            FixedLocator,
+        )
 
         def get_label(i):
             if is_float(i) and i.is_integer():
diff --git a/pandas/plotting/_matplotlib/groupby.py b/pandas/plotting/_matplotlib/groupby.py
index 17a214292608b..f90066fe416bf 100644
--- a/pandas/plotting/_matplotlib/groupby.py
+++ b/pandas/plotting/_matplotlib/groupby.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
@@ -7,7 +9,9 @@
     IndexLabel,
 )
 
-from pandas.core.dtypes.missing import remove_na_arraylike
+from pandas.core.dtypes.missing import (
+    remove_na_arraylike,
+)
 
 from pandas import (
     DataFrame,
@@ -16,7 +20,9 @@
     concat,
 )
 
-from pandas.plotting._matplotlib.misc import unpack_single_str_list
+from pandas.plotting._matplotlib.misc import (
+    unpack_single_str_list,
+)
 
 
 def create_iter_data_given_by(
diff --git a/pandas/plotting/_matplotlib/hist.py b/pandas/plotting/_matplotlib/hist.py
index bc8e6ed753d99..330a7bde691b4 100644
--- a/pandas/plotting/_matplotlib/hist.py
+++ b/pandas/plotting/_matplotlib/hist.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -7,7 +9,9 @@
 
 import numpy as np
 
-from pandas._typing import PlottingOrientation
+from pandas._typing import (
+    PlottingOrientation,
+)
 
 from pandas.core.dtypes.common import (
     is_integer,
@@ -22,7 +26,9 @@
     remove_na_arraylike,
 )
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 from pandas.plotting._matplotlib.core import (
     LinePlot,
     MPLPlot,
@@ -31,7 +37,9 @@
     create_iter_data_given_by,
     reformat_hist_y_given_by,
 )
-from pandas.plotting._matplotlib.misc import unpack_single_str_list
+from pandas.plotting._matplotlib.misc import (
+    unpack_single_str_list,
+)
 from pandas.plotting._matplotlib.tools import (
     create_subplots,
     flatten_axes,
@@ -40,9 +48,13 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
+    from matplotlib.axes import (
+        Axes,
+    )
 
-    from pandas import DataFrame
+    from pandas import (
+        DataFrame,
+    )
 
 
 class HistPlot(LinePlot):
@@ -245,7 +257,9 @@ def _plot(
         stacking_id=None,
         **kwds,
     ):
-        from scipy.stats import gaussian_kde
+        from scipy.stats import (
+            gaussian_kde,
+        )
 
         y = remove_na_arraylike(y)
         gkde = gaussian_kde(y, bw_method=bw_method)
diff --git a/pandas/plotting/_matplotlib/misc.py b/pandas/plotting/_matplotlib/misc.py
index 291a6dff9650d..5f182812dcce5 100644
--- a/pandas/plotting/_matplotlib/misc.py
+++ b/pandas/plotting/_matplotlib/misc.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import random
 from typing import (
@@ -6,14 +8,22 @@
     Hashable,
 )
 
-from matplotlib import patches
+from matplotlib import (
+    patches,
+)
 import matplotlib.lines as mlines
 import numpy as np
 
-from pandas.core.dtypes.missing import notna
+from pandas.core.dtypes.missing import (
+    notna,
+)
 
-from pandas.io.formats.printing import pprint_thing
-from pandas.plotting._matplotlib.style import get_standard_colors
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
+from pandas.plotting._matplotlib.style import (
+    get_standard_colors,
+)
 from pandas.plotting._matplotlib.tools import (
     create_subplots,
     do_adjust_figure,
@@ -22,8 +32,12 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
-    from matplotlib.figure import Figure
+    from matplotlib.axes import (
+        Axes,
+    )
+    from matplotlib.figure import (
+        Figure,
+    )
 
     from pandas import (
         DataFrame,
@@ -82,7 +96,9 @@ def scatter_matrix(
                     ax.hist(values, **hist_kwds)
 
                 elif diagonal in ("kde", "density"):
-                    from scipy.stats import gaussian_kde
+                    from scipy.stats import (
+                        gaussian_kde,
+                    )
 
                     y = values
                     gkde = gaussian_kde(y)
diff --git a/pandas/plotting/_matplotlib/style.py b/pandas/plotting/_matplotlib/style.py
index 839da35a8ae83..10c28e6115916 100644
--- a/pandas/plotting/_matplotlib/style.py
+++ b/pandas/plotting/_matplotlib/style.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import itertools
 from typing import (
@@ -13,15 +15,23 @@
 import matplotlib.colors
 import numpy as np
 
-from pandas._typing import MatplotlibColor as Color
-from pandas.util._exceptions import find_stack_level
+from pandas._typing import (
+    MatplotlibColor as Color,
+)
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
 import pandas.core.common as com
 
 if TYPE_CHECKING:
-    from matplotlib.colors import Colormap
+    from matplotlib.colors import (
+        Colormap,
+    )
 
 
 def get_standard_colors(
diff --git a/pandas/plotting/_matplotlib/timeseries.py b/pandas/plotting/_matplotlib/timeseries.py
index 8e21b2c691185..8103df7cc051a 100644
--- a/pandas/plotting/_matplotlib/timeseries.py
+++ b/pandas/plotting/_matplotlib/timeseries.py
@@ -1,8 +1,12 @@
 # TODO: Use the fact that axis can have units to simplify the process
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import functools
 from typing import (
     TYPE_CHECKING,
@@ -16,7 +20,9 @@
     Period,
     to_offset,
 )
-from pandas._libs.tslibs.dtypes import FreqGroup
+from pandas._libs.tslibs.dtypes import (
+    FreqGroup,
+)
 
 from pandas.core.dtypes.generic import (
     ABCDatetimeIndex,
@@ -24,7 +30,9 @@
     ABCTimedeltaIndex,
 )
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 from pandas.plotting._matplotlib.converter import (
     TimeSeries_DateFormatter,
     TimeSeries_DateLocator,
@@ -37,7 +45,9 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
+    from matplotlib.axes import (
+        Axes,
+    )
 
     from pandas import (
         DataFrame,
@@ -136,7 +146,9 @@ def _replot_ax(ax: Axes, freq, kwargs):
 
             # for tsplot
             if isinstance(plotf, str):
-                from pandas.plotting._matplotlib import PLOT_CLASSES
+                from pandas.plotting._matplotlib import (
+                    PLOT_CLASSES,
+                )
 
                 plotf = PLOT_CLASSES[plotf]._plot
 
@@ -300,7 +312,9 @@ def format_dateaxis(subplot, freq, index) -> None:
     default, changing the limits of the x axis will intelligently change
     the positions of the ticks.
     """
-    from matplotlib import pylab
+    from matplotlib import (
+        pylab,
+    )
 
     # handle index specific formatting
     # Note: DatetimeIndex does not use this
diff --git a/pandas/plotting/_matplotlib/tools.py b/pandas/plotting/_matplotlib/tools.py
index 7d3c857eea2dd..38c6322fd63a5 100644
--- a/pandas/plotting/_matplotlib/tools.py
+++ b/pandas/plotting/_matplotlib/tools.py
@@ -1,7 +1,11 @@
 # being a bit too dynamic
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from math import ceil
+from math import (
+    ceil,
+)
 from typing import (
     TYPE_CHECKING,
     Iterable,
@@ -9,13 +13,19 @@
 )
 import warnings
 
-from matplotlib import ticker
+from matplotlib import (
+    ticker,
+)
 import matplotlib.table
 import numpy as np
 
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCIndex,
@@ -23,11 +33,21 @@
 )
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
-    from matplotlib.axis import Axis
-    from matplotlib.figure import Figure
-    from matplotlib.lines import Line2D
-    from matplotlib.table import Table
+    from matplotlib.axes import (
+        Axes,
+    )
+    from matplotlib.axis import (
+        Axis,
+    )
+    from matplotlib.figure import (
+        Figure,
+    )
+    from matplotlib.lines import (
+        Line2D,
+    )
+    from matplotlib.table import (
+        Table,
+    )
 
     from pandas import (
         DataFrame,
diff --git a/pandas/plotting/_misc.py b/pandas/plotting/_misc.py
index 791e7c0214b58..f161df6100c1e 100644
--- a/pandas/plotting/_misc.py
+++ b/pandas/plotting/_misc.py
@@ -1,16 +1,26 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 from typing import (
     TYPE_CHECKING,
     Generator,
 )
 
-from pandas.plotting._core import _get_plot_backend
+from pandas.plotting._core import (
+    _get_plot_backend,
+)
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
-    from matplotlib.figure import Figure
+    from matplotlib.axes import (
+        Axes,
+    )
+    from matplotlib.figure import (
+        Figure,
+    )
     import numpy as np
 
     from pandas import (
diff --git a/pandas/tests/api/test_api.py b/pandas/tests/api/test_api.py
index 94430e23b054a..dbf65f6e0793c 100644
--- a/pandas/tests/api/test_api.py
+++ b/pandas/tests/api/test_api.py
@@ -1,9 +1,13 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import pytest
 
 import pandas as pd
-from pandas import api
+from pandas import (
+    api,
+)
 import pandas._testing as tm
 
 
@@ -249,7 +253,9 @@ class TestTesting(Base):
     ]
 
     def test_testing(self):
-        from pandas import testing
+        from pandas import (
+            testing,
+        )
 
         self.check(testing, self.funcs)
 
diff --git a/pandas/tests/api/test_types.py b/pandas/tests/api/test_types.py
index fbaa6e7e18bca..4e5066e247000 100644
--- a/pandas/tests/api/test_types.py
+++ b/pandas/tests/api/test_types.py
@@ -1,8 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import pandas._testing as tm
-from pandas.api import types
-from pandas.tests.api.test_api import Base
+from pandas.api import (
+    types,
+)
+from pandas.tests.api.test_api import (
+    Base,
+)
 
 
 class TestTypes(Base):
diff --git a/pandas/tests/apply/common.py b/pandas/tests/apply/common.py
index b4d153df54059..5bc2a7e85638b 100644
--- a/pandas/tests/apply/common.py
+++ b/pandas/tests/apply/common.py
@@ -1,4 +1,6 @@
-from pandas.core.groupby.base import transformation_kernels
+from pandas.core.groupby.base import (
+    transformation_kernels,
+)
 
 # There is no Series.cumcount or DataFrame.cumcount
 series_transform_kernels = [
diff --git a/pandas/tests/apply/conftest.py b/pandas/tests/apply/conftest.py
index b68c6235cb0b8..82df346e9eea4 100644
--- a/pandas/tests/apply/conftest.py
+++ b/pandas/tests/apply/conftest.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/apply/test_frame_apply.py b/pandas/tests/apply/test_frame_apply.py
index 6ed3f6140d361..0a40f855a55da 100644
--- a/pandas/tests/apply/test_frame_apply.py
+++ b/pandas/tests/apply/test_frame_apply.py
@@ -1,10 +1,14 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import warnings
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -15,7 +19,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.frame.common import zip_frames
+from pandas.tests.frame.common import (
+    zip_frames,
+)
 
 
 def test_apply(float_frame):
@@ -649,7 +655,9 @@ def test_applymap_box():
 
 
 def test_frame_apply_dont_convert_datetime64():
-    from pandas.tseries.offsets import BDay
+    from pandas.tseries.offsets import (
+        BDay,
+    )
 
     df = DataFrame({"x1": [datetime(1996, 1, 1)]})
 
diff --git a/pandas/tests/apply/test_frame_transform.py b/pandas/tests/apply/test_frame_transform.py
index 8e385de0b48e0..e89c8ba9da7c6 100644
--- a/pandas/tests/apply/test_frame_transform.py
+++ b/pandas/tests/apply/test_frame_transform.py
@@ -7,8 +7,12 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.apply.common import frame_transform_kernels
-from pandas.tests.frame.common import zip_frames
+from pandas.tests.apply.common import (
+    frame_transform_kernels,
+)
+from pandas.tests.frame.common import (
+    zip_frames,
+)
 
 
 def unpack_obj(obj, klass, axis):
diff --git a/pandas/tests/apply/test_invalid_arg.py b/pandas/tests/apply/test_invalid_arg.py
index 294693df7340a..8db5c0f4eced4 100644
--- a/pandas/tests/apply/test_invalid_arg.py
+++ b/pandas/tests/apply/test_invalid_arg.py
@@ -6,13 +6,17 @@
 #     4. invalid result shape/type
 # If your test does not fit into one of these categories, add to this list.
 
-from itertools import chain
+from itertools import (
+    chain,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas.errors import SpecificationError
+from pandas.errors import (
+    SpecificationError,
+)
 
 from pandas import (
     Categorical,
diff --git a/pandas/tests/apply/test_series_apply.py b/pandas/tests/apply/test_series_apply.py
index 7b8a6204cf2c6..d34ae7385ad3e 100644
--- a/pandas/tests/apply/test_series_apply.py
+++ b/pandas/tests/apply/test_series_apply.py
@@ -2,7 +2,9 @@
     Counter,
     defaultdict,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import math
 
 import numpy as np
@@ -19,7 +21,9 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.tests.apply.common import series_transform_kernels
+from pandas.tests.apply.common import (
+    series_transform_kernels,
+)
 
 
 def test_series_map_box_timedelta():
diff --git a/pandas/tests/apply/test_str.py b/pandas/tests/apply/test_str.py
index 64f93e48b255c..ecf99e291ccba 100644
--- a/pandas/tests/apply/test_str.py
+++ b/pandas/tests/apply/test_str.py
@@ -1,10 +1,14 @@
-from itertools import chain
+from itertools import (
+    chain,
+)
 import operator
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_number
+from pandas.core.dtypes.common import (
+    is_number,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/arithmetic/conftest.py b/pandas/tests/arithmetic/conftest.py
index 7dd5169202ba4..9f10f0b8d951a 100644
--- a/pandas/tests/arithmetic/conftest.py
+++ b/pandas/tests/arithmetic/conftest.py
@@ -7,7 +7,9 @@
     RangeIndex,
 )
 import pandas._testing as tm
-from pandas.core.computation import expressions as expr
+from pandas.core.computation import (
+    expressions as expr,
+)
 
 
 @pytest.fixture(autouse=True, params=[0, 1000000], ids=["numexpr", "python"])
diff --git a/pandas/tests/arithmetic/test_datetime64.py b/pandas/tests/arithmetic/test_datetime64.py
index 8bbb0452e822f..58424655d9153 100644
--- a/pandas/tests/arithmetic/test_datetime64.py
+++ b/pandas/tests/arithmetic/test_datetime64.py
@@ -17,9 +17,15 @@
 import pytest
 import pytz
 
-from pandas._libs.tslibs.conversion import localize_pydatetime
-from pandas._libs.tslibs.offsets import shift_months
-from pandas.errors import PerformanceWarning
+from pandas._libs.tslibs.conversion import (
+    localize_pydatetime,
+)
+from pandas._libs.tslibs.offsets import (
+    shift_months,
+)
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
@@ -34,7 +40,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.ops import roperator
+from pandas.core.ops import (
+    roperator,
+)
 from pandas.tests.arithmetic.common import (
     assert_cannot_add,
     assert_invalid_addsub_type,
diff --git a/pandas/tests/arithmetic/test_interval.py b/pandas/tests/arithmetic/test_interval.py
index 0e316cf419cb0..0af88f9220051 100644
--- a/pandas/tests/arithmetic/test_interval.py
+++ b/pandas/tests/arithmetic/test_interval.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
 import pandas as pd
 from pandas import (
@@ -24,7 +26,9 @@
     BooleanArray,
     IntervalArray,
 )
-from pandas.tests.arithmetic.common import get_upcast_box
+from pandas.tests.arithmetic.common import (
+    get_upcast_box,
+)
 
 
 @pytest.fixture(
diff --git a/pandas/tests/arithmetic/test_numeric.py b/pandas/tests/arithmetic/test_numeric.py
index eaf80f4768458..c2556bdd5b92d 100644
--- a/pandas/tests/arithmetic/test_numeric.py
+++ b/pandas/tests/arithmetic/test_numeric.py
@@ -1,11 +1,19 @@
 # Arithmetic tests for DataFrame/Series/Index/Array classes that should
 # behave identically.
 # Specifically for numeric dtypes
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from collections import abc
-from datetime import timedelta
-from decimal import Decimal
+from collections import (
+    abc,
+)
+from datetime import (
+    timedelta,
+)
+from decimal import (
+    Decimal,
+)
 import operator
 
 import numpy as np
@@ -21,8 +29,12 @@
     array,
 )
 import pandas._testing as tm
-from pandas.core import ops
-from pandas.core.computation import expressions as expr
+from pandas.core import (
+    ops,
+)
+from pandas.core.computation import (
+    expressions as expr,
+)
 from pandas.tests.arithmetic.common import (
     assert_invalid_addsub_type,
     assert_invalid_comparison,
diff --git a/pandas/tests/arithmetic/test_object.py b/pandas/tests/arithmetic/test_object.py
index cacd580658149..05b4df0d47914 100644
--- a/pandas/tests/arithmetic/test_object.py
+++ b/pandas/tests/arithmetic/test_object.py
@@ -2,7 +2,9 @@
 # behave identically.
 # Specifically for object dtype
 import datetime
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import operator
 
 import numpy as np
@@ -14,7 +16,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core import ops
+from pandas.core import (
+    ops,
+)
 
 # ------------------------------------------------------------------
 # Comparisons
diff --git a/pandas/tests/arithmetic/test_period.py b/pandas/tests/arithmetic/test_period.py
index 7a079ae7795e6..8aabd5d762ef9 100644
--- a/pandas/tests/arithmetic/test_period.py
+++ b/pandas/tests/arithmetic/test_period.py
@@ -12,7 +12,9 @@
     Timestamp,
     to_offset,
 )
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
@@ -23,8 +25,12 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.core import ops
-from pandas.core.arrays import TimedeltaArray
+from pandas.core import (
+    ops,
+)
+from pandas.core.arrays import (
+    TimedeltaArray,
+)
 from pandas.tests.arithmetic.common import (
     assert_invalid_addsub_type,
     assert_invalid_comparison,
diff --git a/pandas/tests/arithmetic/test_timedelta64.py b/pandas/tests/arithmetic/test_timedelta64.py
index 33fc63938407c..31d8f19b174e1 100644
--- a/pandas/tests/arithmetic/test_timedelta64.py
+++ b/pandas/tests/arithmetic/test_timedelta64.py
@@ -27,7 +27,9 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import PandasArray
+from pandas.core.arrays import (
+    PandasArray,
+)
 from pandas.tests.arithmetic.common import (
     assert_invalid_addsub_type,
     assert_invalid_comparison,
diff --git a/pandas/tests/arrays/boolean/test_comparison.py b/pandas/tests/arrays/boolean/test_comparison.py
index 2eeb9da574b1e..8a29a92a5712d 100644
--- a/pandas/tests/arrays/boolean/test_comparison.py
+++ b/pandas/tests/arrays/boolean/test_comparison.py
@@ -3,8 +3,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.arrays import BooleanArray
-from pandas.tests.arrays.masked_shared import ComparisonOps
+from pandas.arrays import (
+    BooleanArray,
+)
+from pandas.tests.arrays.masked_shared import (
+    ComparisonOps,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/arrays/boolean/test_construction.py b/pandas/tests/arrays/boolean/test_construction.py
index d26eea19c06e9..b812820f0042c 100644
--- a/pandas/tests/arrays/boolean/test_construction.py
+++ b/pandas/tests/arrays/boolean/test_construction.py
@@ -3,8 +3,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.arrays import BooleanArray
-from pandas.core.arrays.boolean import coerce_to_array
+from pandas.arrays import (
+    BooleanArray,
+)
+from pandas.core.arrays.boolean import (
+    coerce_to_array,
+)
 
 
 def test_boolean_array_constructor():
diff --git a/pandas/tests/arrays/boolean/test_logical.py b/pandas/tests/arrays/boolean/test_logical.py
index 66c117ea3fc66..c6cc18b286ec0 100644
--- a/pandas/tests/arrays/boolean/test_logical.py
+++ b/pandas/tests/arrays/boolean/test_logical.py
@@ -5,13 +5,17 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.arrays import BooleanArray
+from pandas.arrays import (
+    BooleanArray,
+)
 from pandas.core.ops.mask_ops import (
     kleene_and,
     kleene_or,
     kleene_xor,
 )
-from pandas.tests.extension.base import BaseOpsUtil
+from pandas.tests.extension.base import (
+    BaseOpsUtil,
+)
 
 
 class TestLogicalOps(BaseOpsUtil):
diff --git a/pandas/tests/arrays/categorical/conftest.py b/pandas/tests/arrays/categorical/conftest.py
index d5b49e3e5e8c8..d770e775c7036 100644
--- a/pandas/tests/arrays/categorical/conftest.py
+++ b/pandas/tests/arrays/categorical/conftest.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Categorical
+from pandas import (
+    Categorical,
+)
 
 
 @pytest.fixture(params=[True, False])
diff --git a/pandas/tests/arrays/categorical/test_analytics.py b/pandas/tests/arrays/categorical/test_analytics.py
index 55d39cf84eb30..fa90d2a48688f 100644
--- a/pandas/tests/arrays/categorical/test_analytics.py
+++ b/pandas/tests/arrays/categorical/test_analytics.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import PYPY
+from pandas.compat import (
+    PYPY,
+)
 
 from pandas import (
     Categorical,
@@ -15,7 +17,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.api.types import is_scalar
+from pandas.api.types import (
+    is_scalar,
+)
 
 
 class TestCategoricalAnalytics:
diff --git a/pandas/tests/arrays/categorical/test_api.py b/pandas/tests/arrays/categorical/test_api.py
index aa02585ee81a5..bf05f712c4b0d 100644
--- a/pandas/tests/arrays/categorical/test_api.py
+++ b/pandas/tests/arrays/categorical/test_api.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import PY311
+from pandas.compat import (
+    PY311,
+)
 
 from pandas import (
     Categorical,
@@ -14,7 +16,9 @@
     StringDtype,
 )
 import pandas._testing as tm
-from pandas.core.arrays.categorical import recode_for_categories
+from pandas.core.arrays.categorical import (
+    recode_for_categories,
+)
 
 
 class TestCategoricalAPI:
diff --git a/pandas/tests/arrays/categorical/test_constructors.py b/pandas/tests/arrays/categorical/test_constructors.py
index 6cb0e31eb0a5d..5001064643414 100644
--- a/pandas/tests/arrays/categorical/test_constructors.py
+++ b/pandas/tests/arrays/categorical/test_constructors.py
@@ -10,7 +10,9 @@
     is_float_dtype,
     is_integer_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/arrays/categorical/test_dtypes.py b/pandas/tests/arrays/categorical/test_dtypes.py
index c905916772bff..ba5b44c28571a 100644
--- a/pandas/tests/arrays/categorical/test_dtypes.py
+++ b/pandas/tests/arrays/categorical/test_dtypes.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 from pandas import (
     Categorical,
diff --git a/pandas/tests/arrays/categorical/test_missing.py b/pandas/tests/arrays/categorical/test_missing.py
index 95748f619172b..53412fde15eb7 100644
--- a/pandas/tests/arrays/categorical/test_missing.py
+++ b/pandas/tests/arrays/categorical/test_missing.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/arrays/categorical/test_replace.py b/pandas/tests/arrays/categorical/test_replace.py
index ee9e1dbc81e12..b60a8288f2578 100644
--- a/pandas/tests/arrays/categorical/test_replace.py
+++ b/pandas/tests/arrays/categorical/test_replace.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas as pd
-from pandas import Categorical
+from pandas import (
+    Categorical,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/arrays/categorical/test_subclass.py b/pandas/tests/arrays/categorical/test_subclass.py
index b80d0ff41aba6..97d04cd676ac5 100644
--- a/pandas/tests/arrays/categorical/test_subclass.py
+++ b/pandas/tests/arrays/categorical/test_subclass.py
@@ -1,4 +1,6 @@
-from pandas import Categorical
+from pandas import (
+    Categorical,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/arrays/categorical/test_take.py b/pandas/tests/arrays/categorical/test_take.py
index fb79fe4923522..9aeafd709f45e 100644
--- a/pandas/tests/arrays/categorical/test_take.py
+++ b/pandas/tests/arrays/categorical/test_take.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import Categorical
+from pandas import (
+    Categorical,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/arrays/categorical/test_warnings.py b/pandas/tests/arrays/categorical/test_warnings.py
index 656da89c70196..9fa2962e51712 100644
--- a/pandas/tests/arrays/categorical/test_warnings.py
+++ b/pandas/tests/arrays/categorical/test_warnings.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.util._test_decorators import async_mark
+from pandas.util._test_decorators import (
+    async_mark,
+)
 
 import pandas._testing as tm
 
@@ -10,7 +12,9 @@ class TestCategoricalWarnings:
     async def test_tab_complete_warning(self, ip):
         # https://github.com/pandas-dev/pandas/issues/16409
         pytest.importorskip("IPython", minversion="6.0.0")
-        from IPython.core.completer import provisionalcompleter
+        from IPython.core.completer import (
+            provisionalcompleter,
+        )
 
         code = "import pandas as pd; c = pd.Categorical([])"
         await ip.run_code(code)
diff --git a/pandas/tests/arrays/datetimes/test_constructors.py b/pandas/tests/arrays/datetimes/test_constructors.py
index 6670d07a4c075..b8297790cedd6 100644
--- a/pandas/tests/arrays/datetimes/test_constructors.py
+++ b/pandas/tests/arrays/datetimes/test_constructors.py
@@ -1,12 +1,18 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import DatetimeArray
-from pandas.core.arrays.datetimes import _sequence_to_dt64ns
+from pandas.core.arrays import (
+    DatetimeArray,
+)
+from pandas.core.arrays.datetimes import (
+    _sequence_to_dt64ns,
+)
 
 
 class TestDatetimeArrayConstructor:
diff --git a/pandas/tests/arrays/datetimes/test_cumulative.py b/pandas/tests/arrays/datetimes/test_cumulative.py
index ca9760d58770a..5b96081aa34b2 100644
--- a/pandas/tests/arrays/datetimes/test_cumulative.py
+++ b/pandas/tests/arrays/datetimes/test_cumulative.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas._testing as tm
-from pandas.core.arrays import DatetimeArray
+from pandas.core.arrays import (
+    DatetimeArray,
+)
 
 
 class TestAccumulator:
diff --git a/pandas/tests/arrays/datetimes/test_reductions.py b/pandas/tests/arrays/datetimes/test_reductions.py
index 59a4443ac9e19..50eb0969b4166 100644
--- a/pandas/tests/arrays/datetimes/test_reductions.py
+++ b/pandas/tests/arrays/datetimes/test_reductions.py
@@ -1,12 +1,18 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
-from pandas import NaT
+from pandas import (
+    NaT,
+)
 import pandas._testing as tm
-from pandas.core.arrays import DatetimeArray
+from pandas.core.arrays import (
+    DatetimeArray,
+)
 
 
 class TestReductions:
diff --git a/pandas/tests/arrays/floating/test_arithmetic.py b/pandas/tests/arrays/floating/test_arithmetic.py
index 056c22d8c1131..76c1b38058469 100644
--- a/pandas/tests/arrays/floating/test_arithmetic.py
+++ b/pandas/tests/arrays/floating/test_arithmetic.py
@@ -5,7 +5,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import FloatingArray
+from pandas.core.arrays import (
+    FloatingArray,
+)
 
 # Basic test for the arithmetic array ops
 # -----------------------------------------------------------------------------
diff --git a/pandas/tests/arrays/floating/test_comparison.py b/pandas/tests/arrays/floating/test_comparison.py
index a429649f1ce1d..8566f258143e0 100644
--- a/pandas/tests/arrays/floating/test_comparison.py
+++ b/pandas/tests/arrays/floating/test_comparison.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import FloatingArray
+from pandas.core.arrays import (
+    FloatingArray,
+)
 from pandas.tests.arrays.masked_shared import (
     ComparisonOps,
     NumericOps,
diff --git a/pandas/tests/arrays/floating/test_construction.py b/pandas/tests/arrays/floating/test_construction.py
index 2dcd54f443029..362a6626e53fa 100644
--- a/pandas/tests/arrays/floating/test_construction.py
+++ b/pandas/tests/arrays/floating/test_construction.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import FloatingArray
+from pandas.core.arrays import (
+    FloatingArray,
+)
 from pandas.core.arrays.floating import (
     Float32Dtype,
     Float64Dtype,
diff --git a/pandas/tests/arrays/floating/test_function.py b/pandas/tests/arrays/floating/test_function.py
index 40fd66fd049a6..5cf3956cc64f2 100644
--- a/pandas/tests/arrays/floating/test_function.py
+++ b/pandas/tests/arrays/floating/test_function.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/floating/test_to_numpy.py b/pandas/tests/arrays/floating/test_to_numpy.py
index 2ed52439adf53..427ea9496e267 100644
--- a/pandas/tests/arrays/floating/test_to_numpy.py
+++ b/pandas/tests/arrays/floating/test_to_numpy.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import FloatingArray
+from pandas.core.arrays import (
+    FloatingArray,
+)
 
 
 @pytest.mark.parametrize("box", [True, False], ids=["series", "array"])
diff --git a/pandas/tests/arrays/integer/test_arithmetic.py b/pandas/tests/arrays/integer/test_arithmetic.py
index a6e91b05efbe9..f20f2b46784f2 100644
--- a/pandas/tests/arrays/integer/test_arithmetic.py
+++ b/pandas/tests/arrays/integer/test_arithmetic.py
@@ -5,8 +5,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core import ops
-from pandas.core.arrays import FloatingArray
+from pandas.core import (
+    ops,
+)
+from pandas.core.arrays import (
+    FloatingArray,
+)
 
 # Basic test for the arithmetic array ops
 # -----------------------------------------------------------------------------
diff --git a/pandas/tests/arrays/integer/test_construction.py b/pandas/tests/arrays/integer/test_construction.py
index 43ef46ddfb581..f228bf77b3564 100644
--- a/pandas/tests/arrays/integer/test_construction.py
+++ b/pandas/tests/arrays/integer/test_construction.py
@@ -3,8 +3,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import is_integer
-from pandas.core.arrays import IntegerArray
+from pandas.api.types import (
+    is_integer,
+)
+from pandas.core.arrays import (
+    IntegerArray,
+)
 from pandas.core.arrays.integer import (
     Int8Dtype,
     Int32Dtype,
diff --git a/pandas/tests/arrays/integer/test_dtypes.py b/pandas/tests/arrays/integer/test_dtypes.py
index f50b4cfd0b520..3042288f4577b 100644
--- a/pandas/tests/arrays/integer/test_dtypes.py
+++ b/pandas/tests/arrays/integer/test_dtypes.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.generic import ABCIndex
+from pandas.core.dtypes.generic import (
+    ABCIndex,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/integer/test_function.py b/pandas/tests/arrays/integer/test_function.py
index d48b636a98feb..ddb11a46c2fe6 100644
--- a/pandas/tests/arrays/integer/test_function.py
+++ b/pandas/tests/arrays/integer/test_function.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import FloatingArray
+from pandas.core.arrays import (
+    FloatingArray,
+)
 
 
 @pytest.mark.parametrize("ufunc", [np.abs, np.sign])
diff --git a/pandas/tests/arrays/interval/test_interval.py b/pandas/tests/arrays/interval/test_interval.py
index b97eb32a60838..8aebb7e6b8148 100644
--- a/pandas/tests/arrays/interval/test_interval.py
+++ b/pandas/tests/arrays/interval/test_interval.py
@@ -14,7 +14,9 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import IntervalArray
+from pandas.core.arrays import (
+    IntervalArray,
+)
 
 
 @pytest.fixture(
@@ -256,7 +258,9 @@ def test_min_max(self, left_right_dtypes, index_or_series_or_array):
 def test_arrow_extension_type():
     import pyarrow as pa
 
-    from pandas.core.arrays.arrow.extension_types import ArrowIntervalType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowIntervalType,
+    )
 
     p1 = ArrowIntervalType(pa.int64(), "left")
     p2 = ArrowIntervalType(pa.int64(), "left")
@@ -273,7 +277,9 @@ def test_arrow_extension_type():
 def test_arrow_array():
     import pyarrow as pa
 
-    from pandas.core.arrays.arrow.extension_types import ArrowIntervalType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowIntervalType,
+    )
 
     intervals = pd.interval_range(1, 5, freq=1).array
 
@@ -303,7 +309,9 @@ def test_arrow_array():
 def test_arrow_array_missing():
     import pyarrow as pa
 
-    from pandas.core.arrays.arrow.extension_types import ArrowIntervalType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowIntervalType,
+    )
 
     arr = IntervalArray.from_breaks([0.0, 1.0, 2.0, 3.0])
     arr[1] = None
@@ -338,7 +346,9 @@ def test_arrow_array_missing():
 def test_arrow_table_roundtrip(breaks):
     import pyarrow as pa
 
-    from pandas.core.arrays.arrow.extension_types import ArrowIntervalType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowIntervalType,
+    )
 
     arr = IntervalArray.from_breaks(breaks)
     arr[1] = None
diff --git a/pandas/tests/arrays/interval/test_ops.py b/pandas/tests/arrays/interval/test_ops.py
index 4853bec51106c..ffe0544e5fccd 100644
--- a/pandas/tests/arrays/interval/test_ops.py
+++ b/pandas/tests/arrays/interval/test_ops.py
@@ -9,7 +9,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.arrays import IntervalArray
+from pandas.core.arrays import (
+    IntervalArray,
+)
 
 
 @pytest.fixture(params=[IntervalArray, IntervalIndex])
diff --git a/pandas/tests/arrays/masked/test_arithmetic.py b/pandas/tests/arrays/masked/test_arithmetic.py
index f4b571ca627b3..3dbaf2cd03c23 100644
--- a/pandas/tests/arrays/masked/test_arithmetic.py
+++ b/pandas/tests/arrays/masked/test_arithmetic.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Any
+from typing import (
+    Any,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/arrays/masked/test_arrow_compat.py b/pandas/tests/arrays/masked/test_arrow_compat.py
index 6b0081321ef22..cbd1bde3093eb 100644
--- a/pandas/tests/arrays/masked/test_arrow_compat.py
+++ b/pandas/tests/arrays/masked/test_arrow_compat.py
@@ -6,7 +6,9 @@
 
 pa = pytest.importorskip("pyarrow", minversion="1.0.1")
 
-from pandas.core.arrays.arrow._arrow_utils import pyarrow_array_to_numpy_and_mask
+from pandas.core.arrays.arrow._arrow_utils import (
+    pyarrow_array_to_numpy_and_mask,
+)
 
 arrays = [pd.array([1, 2, 3, None], dtype=dtype) for dtype in tm.ALL_INT_EA_DTYPES]
 arrays += [pd.array([0.1, 0.2, 0.3, None], dtype=dtype) for dtype in tm.FLOAT_EA_DTYPES]
diff --git a/pandas/tests/arrays/masked/test_function.py b/pandas/tests/arrays/masked/test_function.py
index 4c7bd6e293ef4..9e8b1b12f4946 100644
--- a/pandas/tests/arrays/masked/test_function.py
+++ b/pandas/tests/arrays/masked/test_function.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_integer_dtype
+from pandas.core.dtypes.common import (
+    is_integer_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/masked_shared.py b/pandas/tests/arrays/masked_shared.py
index 831fc64512b98..37f01b8a1d774 100644
--- a/pandas/tests/arrays/masked_shared.py
+++ b/pandas/tests/arrays/masked_shared.py
@@ -6,7 +6,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.base import BaseOpsUtil
+from pandas.tests.extension.base import (
+    BaseOpsUtil,
+)
 
 
 class ComparisonOps(BaseOpsUtil):
diff --git a/pandas/tests/arrays/numpy_/test_indexing.py b/pandas/tests/arrays/numpy_/test_indexing.py
index 225d64ad7d258..204aebc8b0e7a 100644
--- a/pandas/tests/arrays/numpy_/test_indexing.py
+++ b/pandas/tests/arrays/numpy_/test_indexing.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas.core.dtypes.common import is_scalar
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/numpy_/test_numpy.py b/pandas/tests/arrays/numpy_/test_numpy.py
index c748d487a2f9c..9b2ef3c5bd9c5 100644
--- a/pandas/tests/arrays/numpy_/test_numpy.py
+++ b/pandas/tests/arrays/numpy_/test_numpy.py
@@ -5,11 +5,15 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import PandasDtype
+from pandas.core.dtypes.dtypes import (
+    PandasDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.arrays import PandasArray
+from pandas.arrays import (
+    PandasArray,
+)
 
 
 @pytest.fixture(
diff --git a/pandas/tests/arrays/period/test_arrow_compat.py b/pandas/tests/arrays/period/test_arrow_compat.py
index d76b04df4c9d7..3198fb5943fe5 100644
--- a/pandas/tests/arrays/period/test_arrow_compat.py
+++ b/pandas/tests/arrays/period/test_arrow_compat.py
@@ -1,8 +1,12 @@
 import pytest
 
-from pandas.compat.pyarrow import pa_version_under10p0
+from pandas.compat.pyarrow import (
+    pa_version_under10p0,
+)
 
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
@@ -15,7 +19,9 @@
 
 
 def test_arrow_extension_type():
-    from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowPeriodType,
+    )
 
     p1 = ArrowPeriodType("D")
     p2 = ArrowPeriodType("D")
@@ -37,7 +43,9 @@ def test_arrow_extension_type():
     ],
 )
 def test_arrow_array(data, freq):
-    from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowPeriodType,
+    )
 
     periods = period_array(data, freq=freq)
     result = pa.array(periods)
@@ -60,7 +68,9 @@ def test_arrow_array(data, freq):
 
 
 def test_arrow_array_missing():
-    from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowPeriodType,
+    )
 
     arr = PeriodArray([1, 2, 3], freq="D")
     arr[1] = pd.NaT
@@ -73,7 +83,9 @@ def test_arrow_array_missing():
 
 
 def test_arrow_table_roundtrip():
-    from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowPeriodType,
+    )
 
     arr = PeriodArray([1, 2, 3], freq="D")
     arr[1] = pd.NaT
@@ -94,7 +106,9 @@ def test_arrow_table_roundtrip():
 def test_arrow_load_from_zero_chunks():
     # GH-41040
 
-    from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
+    from pandas.core.arrays.arrow.extension_types import (
+        ArrowPeriodType,
+    )
 
     arr = PeriodArray([], freq="D")
     df = pd.DataFrame({"a": arr})
diff --git a/pandas/tests/arrays/period/test_astype.py b/pandas/tests/arrays/period/test_astype.py
index 57634cf07bdb9..7df7710b4fe73 100644
--- a/pandas/tests/arrays/period/test_astype.py
+++ b/pandas/tests/arrays/period/test_astype.py
@@ -1,11 +1,15 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import period_array
+from pandas.core.arrays import (
+    period_array,
+)
 
 
 @pytest.mark.parametrize("dtype", [int, np.int32, np.int64, "uint32", "uint64"])
diff --git a/pandas/tests/arrays/period/test_constructors.py b/pandas/tests/arrays/period/test_constructors.py
index cf9749058d1d1..a77720bcccb3f 100644
--- a/pandas/tests/arrays/period/test_constructors.py
+++ b/pandas/tests/arrays/period/test_constructors.py
@@ -1,8 +1,12 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import iNaT
-from pandas._libs.tslibs.period import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    iNaT,
+)
+from pandas._libs.tslibs.period import (
+    IncompatibleFrequency,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/period/test_reductions.py b/pandas/tests/arrays/period/test_reductions.py
index 2889cc786dd71..2c472d21b3d15 100644
--- a/pandas/tests/arrays/period/test_reductions.py
+++ b/pandas/tests/arrays/period/test_reductions.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas as pd
-from pandas.core.arrays import period_array
+from pandas.core.arrays import (
+    period_array,
+)
 
 
 class TestReductions:
diff --git a/pandas/tests/arrays/sparse/test_array.py b/pandas/tests/arrays/sparse/test_array.py
index 54c8e359b2859..2c680f4870c5e 100644
--- a/pandas/tests/arrays/sparse/test_array.py
+++ b/pandas/tests/arrays/sparse/test_array.py
@@ -3,10 +3,14 @@
 import numpy as np
 import pytest
 
-from pandas._libs.sparse import IntIndex
+from pandas._libs.sparse import (
+    IntIndex,
+)
 
 import pandas as pd
-from pandas import isna
+from pandas import (
+    isna,
+)
 import pandas._testing as tm
 from pandas.core.arrays.sparse import (
     SparseArray,
diff --git a/pandas/tests/arrays/sparse/test_astype.py b/pandas/tests/arrays/sparse/test_astype.py
index 86d69610059b3..6709308f71b6b 100644
--- a/pandas/tests/arrays/sparse/test_astype.py
+++ b/pandas/tests/arrays/sparse/test_astype.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.sparse import IntIndex
+from pandas._libs.sparse import (
+    IntIndex,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/arrays/sparse/test_combine_concat.py b/pandas/tests/arrays/sparse/test_combine_concat.py
index 0f09af269148b..be6af713fffc7 100644
--- a/pandas/tests/arrays/sparse/test_combine_concat.py
+++ b/pandas/tests/arrays/sparse/test_combine_concat.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays.sparse import SparseArray
+from pandas.core.arrays.sparse import (
+    SparseArray,
+)
 
 
 class TestSparseArrayConcat:
diff --git a/pandas/tests/arrays/sparse/test_constructors.py b/pandas/tests/arrays/sparse/test_constructors.py
index 7c9d2977ffed8..8107ba708e031 100644
--- a/pandas/tests/arrays/sparse/test_constructors.py
+++ b/pandas/tests/arrays/sparse/test_constructors.py
@@ -1,11 +1,15 @@
 import numpy as np
 import pytest
 
-from pandas._libs.sparse import IntIndex
+from pandas._libs.sparse import (
+    IntIndex,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas import isna
+from pandas import (
+    isna,
+)
 import pandas._testing as tm
 from pandas.core.arrays.sparse import (
     SparseArray,
diff --git a/pandas/tests/arrays/sparse/test_dtype.py b/pandas/tests/arrays/sparse/test_dtype.py
index 58fedbd3e4231..cb58ebe0f4733 100644
--- a/pandas/tests/arrays/sparse/test_dtype.py
+++ b/pandas/tests/arrays/sparse/test_dtype.py
@@ -4,7 +4,9 @@
 import pytest
 
 import pandas as pd
-from pandas.core.arrays.sparse import SparseDtype
+from pandas.core.arrays.sparse import (
+    SparseDtype,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/arrays/sparse/test_libsparse.py b/pandas/tests/arrays/sparse/test_libsparse.py
index 018de26ec1f92..35781af572215 100644
--- a/pandas/tests/arrays/sparse/test_libsparse.py
+++ b/pandas/tests/arrays/sparse/test_libsparse.py
@@ -6,7 +6,9 @@
 import pandas._libs.sparse as splib
 import pandas.util._test_decorators as td
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 from pandas.core.arrays.sparse import (
     BlockIndex,
diff --git a/pandas/tests/arrays/sparse/test_unary.py b/pandas/tests/arrays/sparse/test_unary.py
index 605023a407a06..7a69e3c41ec71 100644
--- a/pandas/tests/arrays/sparse/test_unary.py
+++ b/pandas/tests/arrays/sparse/test_unary.py
@@ -5,7 +5,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import SparseArray
+from pandas.core.arrays import (
+    SparseArray,
+)
 
 
 @pytest.mark.parametrize("fill_value", [0, np.nan])
diff --git a/pandas/tests/arrays/string_/test_string.py b/pandas/tests/arrays/string_/test_string.py
index 0b41abc3b3a73..e129704c2244d 100644
--- a/pandas/tests/arrays/string_/test_string.py
+++ b/pandas/tests/arrays/string_/test_string.py
@@ -7,11 +7,15 @@
 
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_dtype_equal
+from pandas.core.dtypes.common import (
+    is_dtype_equal,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays.string_arrow import ArrowStringArray
+from pandas.core.arrays.string_arrow import (
+    ArrowStringArray,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/arrays/string_/test_string_arrow.py b/pandas/tests/arrays/string_/test_string_arrow.py
index 07c6bca67311b..f741058d6059d 100644
--- a/pandas/tests/arrays/string_/test_string_arrow.py
+++ b/pandas/tests/arrays/string_/test_string_arrow.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import pa_version_under7p0
+from pandas.compat import (
+    pa_version_under7p0,
+)
 
 import pandas as pd
 import pandas._testing as tm
@@ -12,7 +14,9 @@
     StringArray,
     StringDtype,
 )
-from pandas.core.arrays.string_arrow import ArrowStringArray
+from pandas.core.arrays.string_arrow import (
+    ArrowStringArray,
+)
 
 skip_if_no_pyarrow = pytest.mark.skipif(
     pa_version_under7p0,
diff --git a/pandas/tests/arrays/test_array.py b/pandas/tests/arrays/test_array.py
index 59e5c6fa2dda3..87cf90dda9fb5 100644
--- a/pandas/tests/arrays/test_array.py
+++ b/pandas/tests/arrays/test_array.py
@@ -5,11 +5,15 @@
 import pytest
 import pytz
 
-from pandas.core.dtypes.base import _registry as registry
+from pandas.core.dtypes.base import (
+    _registry as registry,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.extensions import register_extension_dtype
+from pandas.api.extensions import (
+    register_extension_dtype,
+)
 from pandas.arrays import (
     BooleanArray,
     DatetimeArray,
diff --git a/pandas/tests/arrays/test_datetimelike.py b/pandas/tests/arrays/test_datetimelike.py
index 8db056b8fef58..9a2830abd70b0 100644
--- a/pandas/tests/arrays/test_datetimelike.py
+++ b/pandas/tests/arrays/test_datetimelike.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import array
 import re
@@ -27,8 +29,12 @@
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.arrays.datetimes import _sequence_to_dt64ns
-from pandas.core.arrays.timedeltas import sequence_to_td64ns
+from pandas.core.arrays.datetimes import (
+    _sequence_to_dt64ns,
+)
+from pandas.core.arrays.timedeltas import (
+    sequence_to_td64ns,
+)
 
 
 # TODO: more freq variants
diff --git a/pandas/tests/arrays/test_datetimes.py b/pandas/tests/arrays/test_datetimes.py
index 4bd6fd745d56d..db864b2f8adad 100644
--- a/pandas/tests/arrays/test_datetimes.py
+++ b/pandas/tests/arrays/test_datetimes.py
@@ -1,11 +1,15 @@
 """
 Tests for DatetimeArray
 """
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import operator
 
 try:
-    from zoneinfo import ZoneInfo
+    from zoneinfo import (
+        ZoneInfo,
+    )
 except ImportError:
     ZoneInfo = None
 
@@ -17,7 +21,9 @@
     tz_compare,
 )
 
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/test_period.py b/pandas/tests/arrays/test_period.py
index a4b442ff526e9..c5257007a4407 100644
--- a/pandas/tests/arrays/test_period.py
+++ b/pandas/tests/arrays/test_period.py
@@ -1,11 +1,19 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import iNaT
-from pandas._libs.tslibs.period import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    iNaT,
+)
+from pandas._libs.tslibs.period import (
+    IncompatibleFrequency,
+)
 
-from pandas.core.dtypes.base import _registry as registry
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas.core.dtypes.base import (
+    _registry as registry,
+)
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/arrays/test_timedeltas.py b/pandas/tests/arrays/test_timedeltas.py
index 69d92b1551e14..ba7307354095b 100644
--- a/pandas/tests/arrays/test_timedeltas.py
+++ b/pandas/tests/arrays/test_timedeltas.py
@@ -1,10 +1,14 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas import Timedelta
+from pandas import (
+    Timedelta,
+)
 import pandas._testing as tm
 from pandas.core.arrays import (
     DatetimeArray,
diff --git a/pandas/tests/arrays/timedeltas/test_constructors.py b/pandas/tests/arrays/timedeltas/test_constructors.py
index 3a076a6828a98..afffe89d083f4 100644
--- a/pandas/tests/arrays/timedeltas/test_constructors.py
+++ b/pandas/tests/arrays/timedeltas/test_constructors.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.arrays import TimedeltaArray
+from pandas.core.arrays import (
+    TimedeltaArray,
+)
 
 
 class TestTimedeltaArrayConstructor:
diff --git a/pandas/tests/arrays/timedeltas/test_cumulative.py b/pandas/tests/arrays/timedeltas/test_cumulative.py
index b321dc05bef27..ef00b3c72309d 100644
--- a/pandas/tests/arrays/timedeltas/test_cumulative.py
+++ b/pandas/tests/arrays/timedeltas/test_cumulative.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas._testing as tm
-from pandas.core.arrays import TimedeltaArray
+from pandas.core.arrays import (
+    TimedeltaArray,
+)
 
 
 class TestAccumulator:
diff --git a/pandas/tests/arrays/timedeltas/test_reductions.py b/pandas/tests/arrays/timedeltas/test_reductions.py
index 72d45f5b9a78c..e746a138cf491 100644
--- a/pandas/tests/arrays/timedeltas/test_reductions.py
+++ b/pandas/tests/arrays/timedeltas/test_reductions.py
@@ -2,10 +2,16 @@
 import pytest
 
 import pandas as pd
-from pandas import Timedelta
+from pandas import (
+    Timedelta,
+)
 import pandas._testing as tm
-from pandas.core import nanops
-from pandas.core.arrays import TimedeltaArray
+from pandas.core import (
+    nanops,
+)
+from pandas.core.arrays import (
+    TimedeltaArray,
+)
 
 
 class TestReductions:
diff --git a/pandas/tests/base/common.py b/pandas/tests/base/common.py
index 30cf9311c98bc..8b91eb473388f 100644
--- a/pandas/tests/base/common.py
+++ b/pandas/tests/base/common.py
@@ -1,7 +1,13 @@
-from typing import Any
+from typing import (
+    Any,
+)
 
-from pandas import Index
-from pandas.api.types import is_bool_dtype
+from pandas import (
+    Index,
+)
+from pandas.api.types import (
+    is_bool_dtype,
+)
 
 
 def allow_na_ops(obj: Any) -> bool:
diff --git a/pandas/tests/base/test_constructors.py b/pandas/tests/base/test_constructors.py
index 4e954891c2d98..f03093bff6219 100644
--- a/pandas/tests/base/test_constructors.py
+++ b/pandas/tests/base/test_constructors.py
@@ -1,10 +1,14 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import sys
 
 import numpy as np
 import pytest
 
-from pandas.compat import PYPY
+from pandas.compat import (
+    PYPY,
+)
 
 import pandas as pd
 from pandas import (
@@ -13,7 +17,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.accessor import PandasDelegate
+from pandas.core.accessor import (
+    PandasDelegate,
+)
 from pandas.core.base import (
     NoNewAttributesMixin,
     PandasObject,
diff --git a/pandas/tests/base/test_conversion.py b/pandas/tests/base/test_conversion.py
index a910b20c476ff..416cc5b34190d 100644
--- a/pandas/tests/base/test_conversion.py
+++ b/pandas/tests/base/test_conversion.py
@@ -5,7 +5,9 @@
     is_datetime64_dtype,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/base/test_fillna.py b/pandas/tests/base/test_fillna.py
index 7300d3013305a..13c73c736c840 100644
--- a/pandas/tests/base/test_fillna.py
+++ b/pandas/tests/base/test_fillna.py
@@ -6,9 +6,13 @@
 import numpy as np
 import pytest
 
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 import pandas._testing as tm
-from pandas.tests.base.common import allow_na_ops
+from pandas.tests.base.common import (
+    allow_na_ops,
+)
 
 
 def test_fillna(index_or_series_obj):
diff --git a/pandas/tests/base/test_misc.py b/pandas/tests/base/test_misc.py
index 01705ca31adcd..57bed6ec5a515 100644
--- a/pandas/tests/base/test_misc.py
+++ b/pandas/tests/base/test_misc.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import PYPY
+from pandas.compat import (
+    PYPY,
+)
 
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
diff --git a/pandas/tests/base/test_unique.py b/pandas/tests/base/test_unique.py
index 624d3d68d37fd..7253c16c06fea 100644
--- a/pandas/tests/base/test_unique.py
+++ b/pandas/tests/base/test_unique.py
@@ -1,11 +1,15 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_datetime64tz_dtype
+from pandas.core.dtypes.common import (
+    is_datetime64tz_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.base.common import allow_na_ops
+from pandas.tests.base.common import (
+    allow_na_ops,
+)
 
 
 def test_unique(index_or_series_obj):
diff --git a/pandas/tests/base/test_value_counts.py b/pandas/tests/base/test_value_counts.py
index 89f3c005c52f0..1efbda447e8cd 100644
--- a/pandas/tests/base/test_value_counts.py
+++ b/pandas/tests/base/test_value_counts.py
@@ -1,5 +1,7 @@
 import collections
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
@@ -16,7 +18,9 @@
     TimedeltaIndex,
 )
 import pandas._testing as tm
-from pandas.tests.base.common import allow_na_ops
+from pandas.tests.base.common import (
+    allow_na_ops,
+)
 
 
 def test_value_counts(index_or_series_obj):
diff --git a/pandas/tests/computation/test_compat.py b/pandas/tests/computation/test_compat.py
index f3566e040dc85..7fa6001318959 100644
--- a/pandas/tests/computation/test_compat.py
+++ b/pandas/tests/computation/test_compat.py
@@ -1,17 +1,27 @@
 import pytest
 
-from pandas.compat._optional import VERSIONS
+from pandas.compat._optional import (
+    VERSIONS,
+)
 
 import pandas as pd
-from pandas.core.computation import expr
-from pandas.core.computation.engines import ENGINES
-from pandas.util.version import Version
+from pandas.core.computation import (
+    expr,
+)
+from pandas.core.computation.engines import (
+    ENGINES,
+)
+from pandas.util.version import (
+    Version,
+)
 
 
 def test_compat():
     # test we have compat with our version of numexpr
 
-    from pandas.core.computation.check import NUMEXPR_INSTALLED
+    from pandas.core.computation.check import (
+        NUMEXPR_INSTALLED,
+    )
 
     ne = pytest.importorskip("numexpr")
 
diff --git a/pandas/tests/computation/test_eval.py b/pandas/tests/computation/test_eval.py
index 9374b232f3cd2..1e389bfef62c3 100644
--- a/pandas/tests/computation/test_eval.py
+++ b/pandas/tests/computation/test_eval.py
@@ -1,7 +1,13 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import reduce
-from itertools import product
+from functools import (
+    reduce,
+)
+from itertools import (
+    product,
+)
 import operator
 import random
 import warnings
@@ -34,7 +40,9 @@
     expr,
     pytables,
 )
-from pandas.core.computation.engines import ENGINES
+from pandas.core.computation.engines import (
+    ENGINES,
+)
 from pandas.core.computation.expr import (
     BaseExprVisitor,
     PandasExprVisitor,
@@ -51,7 +59,9 @@
     _binary_ops_dict,
     _unary_math_ops,
 )
-from pandas.core.computation.scope import DEFAULT_GLOBALS
+from pandas.core.computation.scope import (
+    DEFAULT_GLOBALS,
+)
 
 
 @pytest.fixture(
@@ -1678,7 +1688,9 @@ def test_invalid_engine():
 )
 def test_numexpr_option_respected(use_numexpr, expected):
     # GH 32556
-    from pandas.core.computation.eval import _check_engine
+    from pandas.core.computation.eval import (
+        _check_engine,
+    )
 
     with pd.option_context("compute.use_numexpr", use_numexpr):
         result = _check_engine(None)
diff --git a/pandas/tests/config/test_config.py b/pandas/tests/config/test_config.py
index aad42b27cb80b..e837aaddde9fe 100644
--- a/pandas/tests/config/test_config.py
+++ b/pandas/tests/config/test_config.py
@@ -2,8 +2,12 @@
 
 import pytest
 
-from pandas._config import config as cf
-from pandas._config.config import OptionError
+from pandas._config import (
+    config as cf,
+)
+from pandas._config.config import (
+    OptionError,
+)
 
 import pandas as pd
 
diff --git a/pandas/tests/construction/test_extract_array.py b/pandas/tests/construction/test_extract_array.py
index 4dd3eda8c995c..32ba3fac6b5a2 100644
--- a/pandas/tests/construction/test_extract_array.py
+++ b/pandas/tests/construction/test_extract_array.py
@@ -1,6 +1,10 @@
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
-from pandas.core.construction import extract_array
+from pandas.core.construction import (
+    extract_array,
+)
 
 
 def test_extract_array_rangeindex():
diff --git a/pandas/tests/copy_view/test_astype.py b/pandas/tests/copy_view/test_astype.py
index 73343976e92fb..34ce9a6635812 100644
--- a/pandas/tests/copy_view/test_astype.py
+++ b/pandas/tests/copy_view/test_astype.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import pa_version_under7p0
+from pandas.compat import (
+    pa_version_under7p0,
+)
 
 from pandas import (
     DataFrame,
@@ -10,7 +12,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 def test_astype_single_dtype(using_copy_on_write):
diff --git a/pandas/tests/copy_view/test_clip.py b/pandas/tests/copy_view/test_clip.py
index 30140ed4ddb6d..fc05e03ad1cb7 100644
--- a/pandas/tests/copy_view/test_clip.py
+++ b/pandas/tests/copy_view/test_clip.py
@@ -1,8 +1,12 @@
 import numpy as np
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 def test_clip_inplace_reference(using_copy_on_write):
diff --git a/pandas/tests/copy_view/test_constructors.py b/pandas/tests/copy_view/test_constructors.py
index 6cf45c194707e..658aacbe44c46 100644
--- a/pandas/tests/copy_view/test_constructors.py
+++ b/pandas/tests/copy_view/test_constructors.py
@@ -6,7 +6,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 # -----------------------------------------------------------------------------
 # Copy/view behaviour for Series / DataFrame constructors
diff --git a/pandas/tests/copy_view/test_core_functionalities.py b/pandas/tests/copy_view/test_core_functionalities.py
index 204e26b35d680..7fecd74c5345a 100644
--- a/pandas/tests/copy_view/test_core_functionalities.py
+++ b/pandas/tests/copy_view/test_core_functionalities.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 def test_assigning_to_same_variable_removes_references(using_copy_on_write):
diff --git a/pandas/tests/copy_view/test_functions.py b/pandas/tests/copy_view/test_functions.py
index b6f2f0543cb2b..df9718754e1bc 100644
--- a/pandas/tests/copy_view/test_functions.py
+++ b/pandas/tests/copy_view/test_functions.py
@@ -8,7 +8,9 @@
     merge,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 def test_concat_frames(using_copy_on_write):
diff --git a/pandas/tests/copy_view/test_indexing.py b/pandas/tests/copy_view/test_indexing.py
index ca2954f0d390e..40dd2aef31b27 100644
--- a/pandas/tests/copy_view/test_indexing.py
+++ b/pandas/tests/copy_view/test_indexing.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas.errors import SettingWithCopyWarning
+from pandas.errors import (
+    SettingWithCopyWarning,
+)
 
-from pandas.core.dtypes.common import is_float_dtype
+from pandas.core.dtypes.common import (
+    is_float_dtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -11,7 +15,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 @pytest.fixture(params=["numpy", "nullable"])
diff --git a/pandas/tests/copy_view/test_internals.py b/pandas/tests/copy_view/test_internals.py
index 9180bd5a3a426..7a293d9e8e5fc 100644
--- a/pandas/tests/copy_view/test_internals.py
+++ b/pandas/tests/copy_view/test_internals.py
@@ -4,9 +4,13 @@
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 @td.skip_array_manager_invalid_test
diff --git a/pandas/tests/copy_view/test_interp_fillna.py b/pandas/tests/copy_view/test_interp_fillna.py
index 35bd5d47b36dc..4728943e6ae0c 100644
--- a/pandas/tests/copy_view/test_interp_fillna.py
+++ b/pandas/tests/copy_view/test_interp_fillna.py
@@ -11,7 +11,9 @@
     interval_range,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 @pytest.mark.parametrize("method", ["pad", "nearest", "linear"])
diff --git a/pandas/tests/copy_view/test_methods.py b/pandas/tests/copy_view/test_methods.py
index 7042d6e4f9478..b69142b257b4b 100644
--- a/pandas/tests/copy_view/test_methods.py
+++ b/pandas/tests/copy_view/test_methods.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import SettingWithCopyWarning
+from pandas.errors import (
+    SettingWithCopyWarning,
+)
 
 import pandas as pd
 from pandas import (
@@ -15,7 +17,9 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 def test_copy(using_copy_on_write):
diff --git a/pandas/tests/copy_view/test_replace.py b/pandas/tests/copy_view/test_replace.py
index 13991ac8b81cb..86db273d58817 100644
--- a/pandas/tests/copy_view/test_replace.py
+++ b/pandas/tests/copy_view/test_replace.py
@@ -6,7 +6,9 @@
     DataFrame,
 )
 import pandas._testing as tm
-from pandas.tests.copy_view.util import get_array
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/copy_view/test_util.py b/pandas/tests/copy_view/test_util.py
index ff55330d70b28..4b726a3429817 100644
--- a/pandas/tests/copy_view/test_util.py
+++ b/pandas/tests/copy_view/test_util.py
@@ -1,7 +1,11 @@
 import numpy as np
 
-from pandas import DataFrame
-from pandas.tests.copy_view.util import get_array
+from pandas import (
+    DataFrame,
+)
+from pandas.tests.copy_view.util import (
+    get_array,
+)
 
 
 def test_get_array_numpy():
diff --git a/pandas/tests/copy_view/util.py b/pandas/tests/copy_view/util.py
index f15560f91ae01..7baa2bcb4eae7 100644
--- a/pandas/tests/copy_view/util.py
+++ b/pandas/tests/copy_view/util.py
@@ -1,5 +1,9 @@
-from pandas import Series
-from pandas.core.arrays import BaseMaskedArray
+from pandas import (
+    Series,
+)
+from pandas.core.arrays import (
+    BaseMaskedArray,
+)
 
 
 def get_array(obj, col=None):
diff --git a/pandas/tests/dtypes/cast/test_can_hold_element.py b/pandas/tests/dtypes/cast/test_can_hold_element.py
index 3b7d76ead119a..9c3cdd680a9b2 100644
--- a/pandas/tests/dtypes/cast/test_can_hold_element.py
+++ b/pandas/tests/dtypes/cast/test_can_hold_element.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas.core.dtypes.cast import can_hold_element
+from pandas.core.dtypes.cast import (
+    can_hold_element,
+)
 
 
 def test_can_hold_element_range(any_int_numpy_dtype):
diff --git a/pandas/tests/dtypes/cast/test_construct_from_scalar.py b/pandas/tests/dtypes/cast/test_construct_from_scalar.py
index 0ce04ce2e64cd..63137970d2208 100644
--- a/pandas/tests/dtypes/cast/test_construct_from_scalar.py
+++ b/pandas/tests/dtypes/cast/test_construct_from_scalar.py
@@ -1,8 +1,12 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import construct_1d_arraylike_from_scalar
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.cast import (
+    construct_1d_arraylike_from_scalar,
+)
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 from pandas import (
     Categorical,
diff --git a/pandas/tests/dtypes/cast/test_construct_ndarray.py b/pandas/tests/dtypes/cast/test_construct_ndarray.py
index 10085ddde5c8f..5afcbbec0adb6 100644
--- a/pandas/tests/dtypes/cast/test_construct_ndarray.py
+++ b/pandas/tests/dtypes/cast/test_construct_ndarray.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas._testing as tm
-from pandas.core.construction import sanitize_array
+from pandas.core.construction import (
+    sanitize_array,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/dtypes/cast/test_construct_object_arr.py b/pandas/tests/dtypes/cast/test_construct_object_arr.py
index cb44f91f34dec..599848eb5cd4c 100644
--- a/pandas/tests/dtypes/cast/test_construct_object_arr.py
+++ b/pandas/tests/dtypes/cast/test_construct_object_arr.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.cast import (
+    construct_1d_object_array_from_listlike,
+)
 
 
 @pytest.mark.parametrize("datum1", [1, 2.0, "3", (4, 5), [6, 7], None])
diff --git a/pandas/tests/dtypes/cast/test_dict_compat.py b/pandas/tests/dtypes/cast/test_dict_compat.py
index 13dc82d779f95..7f6e7a0fa7fff 100644
--- a/pandas/tests/dtypes/cast/test_dict_compat.py
+++ b/pandas/tests/dtypes/cast/test_dict_compat.py
@@ -1,8 +1,12 @@
 import numpy as np
 
-from pandas.core.dtypes.cast import dict_compat
+from pandas.core.dtypes.cast import (
+    dict_compat,
+)
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
 
 def test_dict_compat():
diff --git a/pandas/tests/dtypes/cast/test_downcast.py b/pandas/tests/dtypes/cast/test_downcast.py
index c01eac746455c..ba18a83aa14c7 100644
--- a/pandas/tests/dtypes/cast/test_downcast.py
+++ b/pandas/tests/dtypes/cast/test_downcast.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import maybe_downcast_to_dtype
+from pandas.core.dtypes.cast import (
+    maybe_downcast_to_dtype,
+)
 
 from pandas import (
     Series,
diff --git a/pandas/tests/dtypes/cast/test_find_common_type.py b/pandas/tests/dtypes/cast/test_find_common_type.py
index 8484b5525a92a..29ef5bd632da6 100644
--- a/pandas/tests/dtypes/cast/test_find_common_type.py
+++ b/pandas/tests/dtypes/cast/test_find_common_type.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import find_common_type
+from pandas.core.dtypes.cast import (
+    find_common_type,
+)
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
     DatetimeTZDtype,
diff --git a/pandas/tests/dtypes/cast/test_infer_dtype.py b/pandas/tests/dtypes/cast/test_infer_dtype.py
index 902130bf93d54..61d9220aeb3f9 100644
--- a/pandas/tests/dtypes/cast/test_infer_dtype.py
+++ b/pandas/tests/dtypes/cast/test_infer_dtype.py
@@ -12,7 +12,9 @@
     infer_dtype_from_array,
     infer_dtype_from_scalar,
 )
-from pandas.core.dtypes.common import is_dtype_equal
+from pandas.core.dtypes.common import (
+    is_dtype_equal,
+)
 
 from pandas import (
     Categorical,
diff --git a/pandas/tests/dtypes/cast/test_maybe_box_native.py b/pandas/tests/dtypes/cast/test_maybe_box_native.py
index 3f62f31dac219..f480fb2d750ef 100644
--- a/pandas/tests/dtypes/cast/test_maybe_box_native.py
+++ b/pandas/tests/dtypes/cast/test_maybe_box_native.py
@@ -1,9 +1,13 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import maybe_box_native
+from pandas.core.dtypes.cast import (
+    maybe_box_native,
+)
 
 from pandas import (
     Interval,
diff --git a/pandas/tests/dtypes/cast/test_promote.py b/pandas/tests/dtypes/cast/test_promote.py
index 1848872335518..c9097cd3be047 100644
--- a/pandas/tests/dtypes/cast/test_promote.py
+++ b/pandas/tests/dtypes/cast/test_promote.py
@@ -3,14 +3,20 @@
 """
 
 import datetime
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import NaT
+from pandas._libs.tslibs import (
+    NaT,
+)
 
-from pandas.core.dtypes.cast import maybe_promote
+from pandas.core.dtypes.cast import (
+    maybe_promote,
+)
 from pandas.core.dtypes.common import (
     is_complex_dtype,
     is_datetime64_dtype,
@@ -21,8 +27,12 @@
     is_scalar,
     is_timedelta64_dtype,
 )
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 import pandas as pd
 
diff --git a/pandas/tests/dtypes/test_common.py b/pandas/tests/dtypes/test_common.py
index 638cfa9d82bc2..2668d1084fb8f 100644
--- a/pandas/tests/dtypes/test_common.py
+++ b/pandas/tests/dtypes/test_common.py
@@ -1,11 +1,15 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 import pytest
 
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.astype import astype_array
+from pandas.core.dtypes.astype import (
+    astype_array,
+)
 import pandas.core.dtypes.common as com
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
@@ -15,12 +19,18 @@
     IntervalDtype,
     PeriodDtype,
 )
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import (
+    isna,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import pandas_dtype
-from pandas.arrays import SparseArray
+from pandas.api.types import (
+    pandas_dtype,
+)
+from pandas.arrays import (
+    SparseArray,
+)
 
 
 # EA & Actual Dtypes
@@ -197,7 +207,9 @@ def test_is_sparse(check_scipy):
 
 @td.skip_if_no_scipy
 def test_is_scipy_sparse():
-    from scipy.sparse import bsr_matrix
+    from scipy.sparse import (
+        bsr_matrix,
+    )
 
     assert com.is_scipy_sparse(bsr_matrix([1, 2, 3]))
 
diff --git a/pandas/tests/dtypes/test_concat.py b/pandas/tests/dtypes/test_concat.py
index 772dfdfe8fb03..cf6d37072000b 100644
--- a/pandas/tests/dtypes/test_concat.py
+++ b/pandas/tests/dtypes/test_concat.py
@@ -3,7 +3,9 @@
 import pandas.core.dtypes.concat as _concat
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/dtypes/test_dtypes.py b/pandas/tests/dtypes/test_dtypes.py
index 590cedeb6b373..106a065bf2e72 100644
--- a/pandas/tests/dtypes/test_dtypes.py
+++ b/pandas/tests/dtypes/test_dtypes.py
@@ -4,9 +4,13 @@
 import pytest
 import pytz
 
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
 
-from pandas.core.dtypes.base import _registry as registry
+from pandas.core.dtypes.base import (
+    _registry as registry,
+)
 from pandas.core.dtypes.common import (
     is_bool_dtype,
     is_categorical_dtype,
diff --git a/pandas/tests/dtypes/test_generic.py b/pandas/tests/dtypes/test_generic.py
index 6459942c99190..1e5963b2f6894 100644
--- a/pandas/tests/dtypes/test_generic.py
+++ b/pandas/tests/dtypes/test_generic.py
@@ -1,10 +1,14 @@
 import re
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes import generic as gt
+from pandas.core.dtypes import (
+    generic as gt,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/dtypes/test_inference.py b/pandas/tests/dtypes/test_inference.py
index 650eb033dcd9e..71404c41c6521 100644
--- a/pandas/tests/dtypes/test_inference.py
+++ b/pandas/tests/dtypes/test_inference.py
@@ -4,18 +4,28 @@
 
 """
 import collections
-from collections import namedtuple
+from collections import (
+    namedtuple,
+)
 from datetime import (
     date,
     datetime,
     time,
     timedelta,
 )
-from decimal import Decimal
-from fractions import Fraction
-from io import StringIO
+from decimal import (
+    Decimal,
+)
+from fractions import (
+    Fraction,
+)
+from io import (
+    StringIO,
+)
 import itertools
-from numbers import Number
+from numbers import (
+    Number,
+)
 import re
 import sys
 from typing import (
@@ -35,7 +45,9 @@
 )
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes import inference
+from pandas.core.dtypes import (
+    inference,
+)
 from pandas.core.dtypes.common import (
     ensure_int32,
     is_bool,
diff --git a/pandas/tests/dtypes/test_missing.py b/pandas/tests/dtypes/test_missing.py
index db6c51d0f6991..aa9c0f1193e62 100644
--- a/pandas/tests/dtypes/test_missing.py
+++ b/pandas/tests/dtypes/test_missing.py
@@ -1,15 +1,29 @@
-from contextlib import nullcontext
-from datetime import datetime
-from decimal import Decimal
+from contextlib import (
+    nullcontext,
+)
+from datetime import (
+    datetime,
+)
+from decimal import (
+    Decimal,
+)
 
 import numpy as np
 import pytest
 
-from pandas._config import config as cf
+from pandas._config import (
+    config as cf,
+)
 
-from pandas._libs import missing as libmissing
-from pandas._libs.tslibs import iNaT
-from pandas.compat import is_numpy_dev
+from pandas._libs import (
+    missing as libmissing,
+)
+from pandas._libs.tslibs import (
+    iNaT,
+)
+from pandas.compat import (
+    is_numpy_dev,
+)
 
 from pandas.core.dtypes.common import (
     is_float,
diff --git a/pandas/tests/extension/array_with_attr/array.py b/pandas/tests/extension/array_with_attr/array.py
index d9327ca9f2f3f..1d712d9d11e29 100644
--- a/pandas/tests/extension/array_with_attr/array.py
+++ b/pandas/tests/extension/array_with_attr/array.py
@@ -2,18 +2,26 @@
 Test extension array that has custom attribute information (not stored on the dtype).
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numbers
 
 import numpy as np
 
-from pandas._typing import type_t
+from pandas._typing import (
+    type_t,
+)
 
-from pandas.core.dtypes.base import ExtensionDtype
+from pandas.core.dtypes.base import (
+    ExtensionDtype,
+)
 
 import pandas as pd
-from pandas.core.arrays import ExtensionArray
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 
 class FloatAttrDtype(ExtensionDtype):
@@ -65,7 +73,9 @@ def isna(self):
         return np.isnan(self.data)
 
     def take(self, indexer, allow_fill=False, fill_value=None):
-        from pandas.api.extensions import take
+        from pandas.api.extensions import (
+            take,
+        )
 
         data = self.data
         if allow_fill and fill_value is None:
diff --git a/pandas/tests/extension/array_with_attr/test_array_with_attr.py b/pandas/tests/extension/array_with_attr/test_array_with_attr.py
index 3735fe40a0d67..87b7ad60aeb05 100644
--- a/pandas/tests/extension/array_with_attr/test_array_with_attr.py
+++ b/pandas/tests/extension/array_with_attr/test_array_with_attr.py
@@ -2,7 +2,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.array_with_attr import FloatAttrArray
+from pandas.tests.extension.array_with_attr import (
+    FloatAttrArray,
+)
 
 
 def test_concat_with_all_na():
diff --git a/pandas/tests/extension/base/accumulate.py b/pandas/tests/extension/base/accumulate.py
index 868172f930844..ed08bb60b542a 100644
--- a/pandas/tests/extension/base/accumulate.py
+++ b/pandas/tests/extension/base/accumulate.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas as pd
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseAccumulateTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/casting.py b/pandas/tests/extension/base/casting.py
index 89ea1670d9e7b..c902658c3e79e 100644
--- a/pandas/tests/extension/base/casting.py
+++ b/pandas/tests/extension/base/casting.py
@@ -1,12 +1,18 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p21
+from pandas.compat import (
+    np_version_under1p21,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas.core.internals import ObjectBlock
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.core.internals import (
+    ObjectBlock,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseCastingTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/constructors.py b/pandas/tests/extension/base/constructors.py
index 29766ff392296..45338bc9c7f87 100644
--- a/pandas/tests/extension/base/constructors.py
+++ b/pandas/tests/extension/base/constructors.py
@@ -2,9 +2,15 @@
 import pytest
 
 import pandas as pd
-from pandas.api.extensions import ExtensionArray
-from pandas.core.internals.blocks import EABackedBlock
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.api.extensions import (
+    ExtensionArray,
+)
+from pandas.core.internals.blocks import (
+    EABackedBlock,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseConstructorsTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/dim2.py b/pandas/tests/extension/base/dim2.py
index 6371411f9992c..084f6fa6d9e1c 100644
--- a/pandas/tests/extension/base/dim2.py
+++ b/pandas/tests/extension/base/dim2.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.missing import is_matching_na
+from pandas._libs.missing import (
+    is_matching_na,
+)
 
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -13,8 +15,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays.integer import INT_STR_TO_DTYPE
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.core.arrays.integer import (
+    INT_STR_TO_DTYPE,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class Dim2CompatTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/dtype.py b/pandas/tests/extension/base/dtype.py
index 392a75f8a69a7..9518ab4d99a2e 100644
--- a/pandas/tests/extension/base/dtype.py
+++ b/pandas/tests/extension/base/dtype.py
@@ -7,7 +7,9 @@
     is_object_dtype,
     is_string_dtype,
 )
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseDtypeTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/getitem.py b/pandas/tests/extension/base/getitem.py
index cf51d9d693155..fd4c2084762af 100644
--- a/pandas/tests/extension/base/getitem.py
+++ b/pandas/tests/extension/base/getitem.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseGetitemTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/groupby.py b/pandas/tests/extension/base/groupby.py
index 9b8f3a43fbe64..964197cf1fbb3 100644
--- a/pandas/tests/extension/base/groupby.py
+++ b/pandas/tests/extension/base/groupby.py
@@ -9,7 +9,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseGroupbyTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/index.py b/pandas/tests/extension/base/index.py
index 2539c38733a6c..93be8c6edd980 100644
--- a/pandas/tests/extension/base/index.py
+++ b/pandas/tests/extension/base/index.py
@@ -2,7 +2,9 @@
 Tests for Indexes backed by arbitrary ExtensionArrays.
 """
 import pandas as pd
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseIndexTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/interface.py b/pandas/tests/extension/base/interface.py
index 3e8a754c8c527..9d4e8b5504299 100644
--- a/pandas/tests/extension/base/interface.py
+++ b/pandas/tests/extension/base/interface.py
@@ -1,11 +1,17 @@
 import numpy as np
 
-from pandas.core.dtypes.common import is_extension_array_dtype
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.common import (
+    is_extension_array_dtype,
+)
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseInterfaceTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/io.py b/pandas/tests/extension/base/io.py
index a8c25db3181d0..24822d78e375d 100644
--- a/pandas/tests/extension/base/io.py
+++ b/pandas/tests/extension/base/io.py
@@ -1,10 +1,14 @@
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseParsingTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/methods.py b/pandas/tests/extension/base/methods.py
index ca867ffb77296..f93744b00a861 100644
--- a/pandas/tests/extension/base/methods.py
+++ b/pandas/tests/extension/base/methods.py
@@ -4,15 +4,25 @@
 import numpy as np
 import pytest
 
-from pandas._typing import Dtype
+from pandas._typing import (
+    Dtype,
+)
 
-from pandas.core.dtypes.common import is_bool_dtype
-from pandas.core.dtypes.missing import na_value_for_dtype
+from pandas.core.dtypes.common import (
+    is_bool_dtype,
+)
+from pandas.core.dtypes.missing import (
+    na_value_for_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.sorting import nargsort
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.core.sorting import (
+    nargsort,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseMethodsTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/missing.py b/pandas/tests/extension/base/missing.py
index cab81f864d8d8..1cd39a94631eb 100644
--- a/pandas/tests/extension/base/missing.py
+++ b/pandas/tests/extension/base/missing.py
@@ -3,8 +3,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import is_sparse
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.api.types import (
+    is_sparse,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseMissingTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/ops.py b/pandas/tests/extension/base/ops.py
index 24ccedda31f74..87499d0ecab4a 100644
--- a/pandas/tests/extension/base/ops.py
+++ b/pandas/tests/extension/base/ops.py
@@ -1,12 +1,18 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 import pytest
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core import ops
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.core import (
+    ops,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseOpsUtil(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/printing.py b/pandas/tests/extension/base/printing.py
index eab75be66080f..bafe512b76243 100644
--- a/pandas/tests/extension/base/printing.py
+++ b/pandas/tests/extension/base/printing.py
@@ -3,7 +3,9 @@
 import pytest
 
 import pandas as pd
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BasePrintingTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/reduce.py b/pandas/tests/extension/base/reduce.py
index cf161a7f4b906..947d4b6ed0a29 100644
--- a/pandas/tests/extension/base/reduce.py
+++ b/pandas/tests/extension/base/reduce.py
@@ -4,7 +4,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseReduceTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/reshaping.py b/pandas/tests/extension/base/reshaping.py
index cc970c690529d..b3626071bb7ef 100644
--- a/pandas/tests/extension/base/reshaping.py
+++ b/pandas/tests/extension/base/reshaping.py
@@ -4,9 +4,15 @@
 import pytest
 
 import pandas as pd
-from pandas.api.extensions import ExtensionArray
-from pandas.core.internals.blocks import EABackedBlock
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.api.extensions import (
+    ExtensionArray,
+)
+from pandas.core.internals.blocks import (
+    EABackedBlock,
+)
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseReshapingTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/base/setitem.py b/pandas/tests/extension/base/setitem.py
index 73445a96f4a03..4778d72e894e5 100644
--- a/pandas/tests/extension/base/setitem.py
+++ b/pandas/tests/extension/base/setitem.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension.base.base import BaseExtensionTests
+from pandas.tests.extension.base.base import (
+    BaseExtensionTests,
+)
 
 
 class BaseSetitemTests(BaseExtensionTests):
diff --git a/pandas/tests/extension/date/array.py b/pandas/tests/extension/date/array.py
index eca935cdc9128..2f2ed1e9bb089 100644
--- a/pandas/tests/extension/date/array.py
+++ b/pandas/tests/extension/date/array.py
@@ -15,13 +15,17 @@
     PositionalIndexer,
 )
 
-from pandas.core.dtypes.dtypes import register_extension_dtype
+from pandas.core.dtypes.dtypes import (
+    register_extension_dtype,
+)
 
 from pandas.api.extensions import (
     ExtensionArray,
     ExtensionDtype,
 )
-from pandas.api.types import pandas_dtype
+from pandas.api.types import (
+    pandas_dtype,
+)
 
 
 @register_extension_dtype
diff --git a/pandas/tests/extension/decimal/array.py b/pandas/tests/extension/decimal/array.py
index afeca326a9fd4..d4452c629e891 100644
--- a/pandas/tests/extension/decimal/array.py
+++ b/pandas/tests/extension/decimal/array.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import decimal
 import numbers
@@ -7,9 +9,13 @@
 
 import numpy as np
 
-from pandas._typing import type_t
+from pandas._typing import (
+    type_t,
+)
 
-from pandas.core.dtypes.base import ExtensionDtype
+from pandas.core.dtypes.base import (
+    ExtensionDtype,
+)
 from pandas.core.dtypes.common import (
     is_dtype_equal,
     is_float,
@@ -25,13 +31,19 @@
     is_list_like,
     is_scalar,
 )
-from pandas.core import arraylike
-from pandas.core.arraylike import OpsMixin
+from pandas.core import (
+    arraylike,
+)
+from pandas.core.arraylike import (
+    OpsMixin,
+)
 from pandas.core.arrays import (
     ExtensionArray,
     ExtensionScalarOpsMixin,
 )
-from pandas.core.indexers import check_array_indexer
+from pandas.core.indexers import (
+    check_array_indexer,
+)
 
 
 @register_extension_dtype
@@ -165,7 +177,9 @@ def __getitem__(self, item):
             return type(self)(self._data[item])
 
     def take(self, indexer, allow_fill=False, fill_value=None):
-        from pandas.api.extensions import take
+        from pandas.api.extensions import (
+            take,
+        )
 
         data = self._data
         if allow_fill and fill_value is None:
@@ -271,7 +285,9 @@ def convert_values(param):
         return np.asarray(res, dtype=bool)
 
     def value_counts(self, dropna: bool = True):
-        from pandas.core.algorithms import value_counts
+        from pandas.core.algorithms import (
+            value_counts,
+        )
 
         return value_counts(self.to_numpy(), dropna=dropna)
 
diff --git a/pandas/tests/extension/decimal/test_decimal.py b/pandas/tests/extension/decimal/test_decimal.py
index 3544d025f0230..32fa1ce479899 100644
--- a/pandas/tests/extension/decimal/test_decimal.py
+++ b/pandas/tests/extension/decimal/test_decimal.py
@@ -6,8 +6,12 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import infer_dtype
-from pandas.tests.extension import base
+from pandas.api.types import (
+    infer_dtype,
+)
+from pandas.tests.extension import (
+    base,
+)
 from pandas.tests.extension.decimal.array import (
     DecimalArray,
     DecimalDtype,
diff --git a/pandas/tests/extension/json/array.py b/pandas/tests/extension/json/array.py
index f7de31e58b104..bfe6b4ecc6310 100644
--- a/pandas/tests/extension/json/array.py
+++ b/pandas/tests/extension/json/array.py
@@ -11,7 +11,9 @@
 in that case. We *want* the dictionaries to be treated as scalars, so we
 hack around pandas by using UserDicts.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from collections import (
     UserDict,
@@ -29,9 +31,13 @@
 
 import numpy as np
 
-from pandas._typing import type_t
+from pandas._typing import (
+    type_t,
+)
 
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.cast import (
+    construct_1d_object_array_from_listlike,
+)
 from pandas.core.dtypes.common import (
     is_bool_dtype,
     is_list_like,
@@ -43,7 +49,9 @@
     ExtensionArray,
     ExtensionDtype,
 )
-from pandas.core.indexers import unpack_tuple_and_ellipses
+from pandas.core.indexers import (
+    unpack_tuple_and_ellipses,
+)
 
 
 class JSONDtype(ExtensionDtype):
@@ -194,7 +202,9 @@ def astype(self, dtype, copy=True):
         # NumPy has issues when all the dicts are the same length.
         # np.array([UserDict(...), UserDict(...)]) fails,
         # but np.array([{...}, {...}]) works, so cast.
-        from pandas.core.arrays.string_ import StringDtype
+        from pandas.core.arrays.string_ import (
+            StringDtype,
+        )
 
         dtype = pandas_dtype(dtype)
         # needed to add this check for the Series constructor
diff --git a/pandas/tests/extension/json/test_json.py b/pandas/tests/extension/json/test_json.py
index 37a7d78d3aa3d..52647592b409c 100644
--- a/pandas/tests/extension/json/test_json.py
+++ b/pandas/tests/extension/json/test_json.py
@@ -6,7 +6,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.extension import base
+from pandas.tests.extension import (
+    base,
+)
 from pandas.tests.extension.json.array import (
     JSONArray,
     JSONDtype,
diff --git a/pandas/tests/extension/list/array.py b/pandas/tests/extension/list/array.py
index f281a0f82e0e7..d56f3528cba58 100644
--- a/pandas/tests/extension/list/array.py
+++ b/pandas/tests/extension/list/array.py
@@ -3,7 +3,9 @@
 
 The ListArray stores an ndarray of lists.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numbers
 import random
@@ -11,16 +13,22 @@
 
 import numpy as np
 
-from pandas._typing import type_t
+from pandas._typing import (
+    type_t,
+)
 
-from pandas.core.dtypes.base import ExtensionDtype
+from pandas.core.dtypes.base import (
+    ExtensionDtype,
+)
 
 import pandas as pd
 from pandas.api.types import (
     is_object_dtype,
     is_string_dtype,
 )
-from pandas.core.arrays import ExtensionArray
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 
 class ListDtype(ExtensionDtype):
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index f9af3a3063386..1884801afbd8a 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -16,7 +16,9 @@
     time,
     timedelta,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 from io import (
     BytesIO,
     StringIO,
@@ -36,9 +38,13 @@
     pa_version_under9p0,
     pa_version_under11p0,
 )
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
-from pandas.core.dtypes.common import is_any_int_dtype
+from pandas.core.dtypes.common import (
+    is_any_int_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
@@ -51,11 +57,15 @@
     is_string_dtype,
     is_unsigned_integer_dtype,
 )
-from pandas.tests.extension import base
+from pandas.tests.extension import (
+    base,
+)
 
 pa = pytest.importorskip("pyarrow", minversion="7.0.0")
 
-from pandas.core.arrays.arrow.array import ArrowExtensionArray
+from pandas.core.arrays.arrow.array import (
+    ArrowExtensionArray,
+)
 
 from pandas.core.arrays.arrow.dtype import ArrowDtype  # isort:skip
 
diff --git a/pandas/tests/extension/test_boolean.py b/pandas/tests/extension/test_boolean.py
index 8c8cbfa5200b1..c32d8e8256117 100644
--- a/pandas/tests/extension/test_boolean.py
+++ b/pandas/tests/extension/test_boolean.py
@@ -16,12 +16,18 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_bool_dtype
+from pandas.core.dtypes.common import (
+    is_bool_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays.boolean import BooleanDtype
-from pandas.tests.extension import base
+from pandas.core.arrays.boolean import (
+    BooleanDtype,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 def make_data():
diff --git a/pandas/tests/extension/test_categorical.py b/pandas/tests/extension/test_categorical.py
index 9a363c6a0f022..7b04cdd729764 100644
--- a/pandas/tests/extension/test_categorical.py
+++ b/pandas/tests/extension/test_categorical.py
@@ -25,8 +25,12 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype
-from pandas.tests.extension import base
+from pandas.api.types import (
+    CategoricalDtype,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 def make_data():
diff --git a/pandas/tests/extension/test_common.py b/pandas/tests/extension/test_common.py
index a3c0b328da075..e1b9af8f5481f 100644
--- a/pandas/tests/extension/test_common.py
+++ b/pandas/tests/extension/test_common.py
@@ -1,12 +1,18 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes import dtypes
-from pandas.core.dtypes.common import is_extension_array_dtype
+from pandas.core.dtypes import (
+    dtypes,
+)
+from pandas.core.dtypes.common import (
+    is_extension_array_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import ExtensionArray
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 
 class DummyDtype(dtypes.ExtensionDtype):
diff --git a/pandas/tests/extension/test_datetime.py b/pandas/tests/extension/test_datetime.py
index 92796c604333d..c5526d48d8660 100644
--- a/pandas/tests/extension/test_datetime.py
+++ b/pandas/tests/extension/test_datetime.py
@@ -16,11 +16,17 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
-from pandas.core.arrays import DatetimeArray
-from pandas.tests.extension import base
+from pandas.core.arrays import (
+    DatetimeArray,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 @pytest.fixture(params=["US/Central"])
diff --git a/pandas/tests/extension/test_extension.py b/pandas/tests/extension/test_extension.py
index 1ed626cd51080..aa193e4565692 100644
--- a/pandas/tests/extension/test_extension.py
+++ b/pandas/tests/extension/test_extension.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.arrays import ExtensionArray
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 
 class MyEA(ExtensionArray):
diff --git a/pandas/tests/extension/test_external_block.py b/pandas/tests/extension/test_external_block.py
index 1b5b46c6a01bb..ff1961aba4154 100644
--- a/pandas/tests/extension/test_external_block.py
+++ b/pandas/tests/extension/test_external_block.py
@@ -1,12 +1,18 @@
 import numpy as np
 import pytest
 
-from pandas._libs.internals import BlockPlacement
+from pandas._libs.internals import (
+    BlockPlacement,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas.core.internals import BlockManager
-from pandas.core.internals.blocks import ExtensionBlock
+from pandas.core.internals import (
+    BlockManager,
+)
+from pandas.core.internals.blocks import (
+    ExtensionBlock,
+)
 
 pytestmark = td.skip_array_manager_invalid_test
 
diff --git a/pandas/tests/extension/test_floating.py b/pandas/tests/extension/test_floating.py
index 60c78b46a4832..a40ab21d22b60 100644
--- a/pandas/tests/extension/test_floating.py
+++ b/pandas/tests/extension/test_floating.py
@@ -16,16 +16,22 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_extension_array_dtype
+from pandas.core.dtypes.common import (
+    is_extension_array_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import is_float_dtype
+from pandas.api.types import (
+    is_float_dtype,
+)
 from pandas.core.arrays.floating import (
     Float32Dtype,
     Float64Dtype,
 )
-from pandas.tests.extension import base
+from pandas.tests.extension import (
+    base,
+)
 
 
 def make_data():
diff --git a/pandas/tests/extension/test_integer.py b/pandas/tests/extension/test_integer.py
index 936764c3627d0..f4e25d1188044 100644
--- a/pandas/tests/extension/test_integer.py
+++ b/pandas/tests/extension/test_integer.py
@@ -37,7 +37,9 @@
     UInt32Dtype,
     UInt64Dtype,
 )
-from pandas.tests.extension import base
+from pandas.tests.extension import (
+    base,
+)
 
 
 def make_data():
diff --git a/pandas/tests/extension/test_interval.py b/pandas/tests/extension/test_interval.py
index 0f916cea9d518..cccb90e4f3646 100644
--- a/pandas/tests/extension/test_interval.py
+++ b/pandas/tests/extension/test_interval.py
@@ -16,14 +16,20 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import IntervalDtype
+from pandas.core.dtypes.dtypes import (
+    IntervalDtype,
+)
 
 from pandas import (
     Interval,
     Series,
 )
-from pandas.core.arrays import IntervalArray
-from pandas.tests.extension import base
+from pandas.core.arrays import (
+    IntervalArray,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 def make_data():
diff --git a/pandas/tests/extension/test_numpy.py b/pandas/tests/extension/test_numpy.py
index 9cf7a08357720..fd6f8f6cf6b57 100644
--- a/pandas/tests/extension/test_numpy.py
+++ b/pandas/tests/extension/test_numpy.py
@@ -18,7 +18,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import can_hold_element
+from pandas.core.dtypes.cast import (
+    can_hold_element,
+)
 from pandas.core.dtypes.dtypes import (
     ExtensionDtype,
     PandasDtype,
@@ -26,10 +28,18 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import is_object_dtype
-from pandas.core.arrays.numpy_ import PandasArray
-from pandas.core.internals import blocks
-from pandas.tests.extension import base
+from pandas.api.types import (
+    is_object_dtype,
+)
+from pandas.core.arrays.numpy_ import (
+    PandasArray,
+)
+from pandas.core.internals import (
+    blocks,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 def _can_hold_element_patched(obj, element) -> bool:
diff --git a/pandas/tests/extension/test_period.py b/pandas/tests/extension/test_period.py
index cb1ebd87875e1..75f24c90cd111 100644
--- a/pandas/tests/extension/test_period.py
+++ b/pandas/tests/extension/test_period.py
@@ -16,16 +16,28 @@
 import numpy as np
 import pytest
 
-from pandas._libs import iNaT
-from pandas.compat import is_platform_windows
-from pandas.compat.numpy import np_version_gte1p24
-
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas._libs import (
+    iNaT,
+)
+from pandas.compat import (
+    is_platform_windows,
+)
+from pandas.compat.numpy import (
+    np_version_gte1p24,
+)
+
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import PeriodArray
-from pandas.tests.extension import base
+from pandas.core.arrays import (
+    PeriodArray,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 @pytest.fixture(params=["D", "2D"])
diff --git a/pandas/tests/extension/test_sparse.py b/pandas/tests/extension/test_sparse.py
index 2aeb2af567ea0..a7e5902e32d3d 100644
--- a/pandas/tests/extension/test_sparse.py
+++ b/pandas/tests/extension/test_sparse.py
@@ -17,13 +17,21 @@
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
-from pandas import SparseDtype
+from pandas import (
+    SparseDtype,
+)
 import pandas._testing as tm
-from pandas.arrays import SparseArray
-from pandas.tests.extension import base
+from pandas.arrays import (
+    SparseArray,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 def make_data(fill_value):
diff --git a/pandas/tests/extension/test_string.py b/pandas/tests/extension/test_string.py
index a2e438b858e59..abf6c12bac902 100644
--- a/pandas/tests/extension/test_string.py
+++ b/pandas/tests/extension/test_string.py
@@ -18,14 +18,24 @@
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import is_string_dtype
-from pandas.core.arrays import ArrowStringArray
-from pandas.core.arrays.string_ import StringDtype
-from pandas.tests.extension import base
+from pandas.api.types import (
+    is_string_dtype,
+)
+from pandas.core.arrays import (
+    ArrowStringArray,
+)
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
+from pandas.tests.extension import (
+    base,
+)
 
 
 def split_array(arr):
diff --git a/pandas/tests/frame/common.py b/pandas/tests/frame/common.py
index 70115f8679337..e885b7bacf035 100644
--- a/pandas/tests/frame/common.py
+++ b/pandas/tests/frame/common.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from pandas._typing import AxisInt
+from pandas._typing import (
+    AxisInt,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/frame/constructors/test_from_dict.py b/pandas/tests/frame/constructors/test_from_dict.py
index c04213c215f0d..fddffa0a55a2d 100644
--- a/pandas/tests/frame/constructors/test_from_dict.py
+++ b/pandas/tests/frame/constructors/test_from_dict.py
@@ -1,4 +1,6 @@
-from collections import OrderedDict
+from collections import (
+    OrderedDict,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/constructors/test_from_records.py b/pandas/tests/frame/constructors/test_from_records.py
index 18bf633d60186..e0ea3f27d603b 100644
--- a/pandas/tests/frame/constructors/test_from_records.py
+++ b/pandas/tests/frame/constructors/test_from_records.py
@@ -1,12 +1,20 @@
-from datetime import datetime
-from decimal import Decimal
-from typing import Iterator
+from datetime import (
+    datetime,
+)
+from decimal import (
+    Decimal,
+)
+from typing import (
+    Iterator,
+)
 
 import numpy as np
 import pytest
 import pytz
 
-from pandas.compat import is_platform_little_endian
+from pandas.compat import (
+    is_platform_little_endian,
+)
 
 from pandas import (
     CategoricalIndex,
diff --git a/pandas/tests/frame/indexing/test_get.py b/pandas/tests/frame/indexing/test_get.py
index 5f2651eec683c..894164075f35e 100644
--- a/pandas/tests/frame/indexing/test_get.py
+++ b/pandas/tests/frame/indexing/test_get.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/indexing/test_getitem.py b/pandas/tests/frame/indexing/test_getitem.py
index 7880916f66812..9bbf706b4813e 100644
--- a/pandas/tests/frame/indexing/test_getitem.py
+++ b/pandas/tests/frame/indexing/test_getitem.py
@@ -20,7 +20,9 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import SparseArray
+from pandas.core.arrays import (
+    SparseArray,
+)
 
 
 class TestGetitem:
diff --git a/pandas/tests/frame/indexing/test_indexing.py b/pandas/tests/frame/indexing/test_indexing.py
index efbd7058dc3b0..44dc8b340942a 100644
--- a/pandas/tests/frame/indexing/test_indexing.py
+++ b/pandas/tests/frame/indexing/test_indexing.py
@@ -1,15 +1,21 @@
-from collections import namedtuple
+from collections import (
+    namedtuple,
+)
 from datetime import (
     datetime,
     timedelta,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas._libs import iNaT
+from pandas._libs import (
+    iNaT,
+)
 from pandas.errors import (
     InvalidIndexError,
     PerformanceWarning,
@@ -17,7 +23,9 @@
 )
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_integer
+from pandas.core.dtypes.common import (
+    is_integer,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/frame/indexing/test_insert.py b/pandas/tests/frame/indexing/test_insert.py
index 5d0a51ea0d462..ba5a172bb9009 100644
--- a/pandas/tests/frame/indexing/test_insert.py
+++ b/pandas/tests/frame/indexing/test_insert.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/frame/indexing/test_set_value.py b/pandas/tests/frame/indexing/test_set_value.py
index 8d7a5cbcc08e0..142e59d4ba112 100644
--- a/pandas/tests/frame/indexing/test_set_value.py
+++ b/pandas/tests/frame/indexing/test_set_value.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas.core.dtypes.common import is_float_dtype
+from pandas.core.dtypes.common import (
+    is_float_dtype,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/frame/indexing/test_setitem.py b/pandas/tests/frame/indexing/test_setitem.py
index c20db86904d06..3d4bba0b98a7e 100644
--- a/pandas/tests/frame/indexing/test_setitem.py
+++ b/pandas/tests/frame/indexing/test_setitem.py
@@ -1,11 +1,15 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
 
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.base import _registry as ea_registry
+from pandas.core.dtypes.base import (
+    _registry as ea_registry,
+)
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
     is_interval_dtype,
@@ -38,9 +42,13 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import SparseArray
+from pandas.core.arrays import (
+    SparseArray,
+)
 
-from pandas.tseries.offsets import BDay
+from pandas.tseries.offsets import (
+    BDay,
+)
 
 
 class TestDataFrameSetItem:
diff --git a/pandas/tests/frame/indexing/test_where.py b/pandas/tests/frame/indexing/test_where.py
index f0fb0a0595cbd..d47f576217ce7 100644
--- a/pandas/tests/frame/indexing/test_where.py
+++ b/pandas/tests/frame/indexing/test_where.py
@@ -1,10 +1,16 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from hypothesis import given
+from hypothesis import (
+    given,
+)
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_scalar
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
 
 import pandas as pd
 from pandas import (
@@ -18,7 +24,9 @@
     isna,
 )
 import pandas._testing as tm
-from pandas._testing._hypothesis import OPTIONAL_ONE_OF_ALL
+from pandas._testing._hypothesis import (
+    OPTIONAL_ONE_OF_ALL,
+)
 
 
 @pytest.fixture(params=["default", "float_string", "mixed_float", "mixed_int"])
diff --git a/pandas/tests/frame/indexing/test_xs.py b/pandas/tests/frame/indexing/test_xs.py
index 7e0623f7beaa9..3756af8ec2a2d 100644
--- a/pandas/tests/frame/indexing/test_xs.py
+++ b/pandas/tests/frame/indexing/test_xs.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import SettingWithCopyError
+from pandas.errors import (
+    SettingWithCopyError,
+)
 
 from pandas import (
     DataFrame,
@@ -15,7 +17,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries.offsets import BDay
+from pandas.tseries.offsets import (
+    BDay,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/frame/methods/test_add_prefix_suffix.py b/pandas/tests/frame/methods/test_add_prefix_suffix.py
index 92d7cdd7990e1..1d9060beb5936 100644
--- a/pandas/tests/frame/methods/test_add_prefix_suffix.py
+++ b/pandas/tests/frame/methods/test_add_prefix_suffix.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_align.py b/pandas/tests/frame/methods/test_align.py
index ec7d75ef4debb..718944aa38967 100644
--- a/pandas/tests/frame/methods/test_align.py
+++ b/pandas/tests/frame/methods/test_align.py
@@ -1,4 +1,6 @@
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/methods/test_asfreq.py b/pandas/tests/frame/methods/test_asfreq.py
index 2cff2c4b2bc57..999cd818faba1 100644
--- a/pandas/tests/frame/methods/test_asfreq.py
+++ b/pandas/tests/frame/methods/test_asfreq.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -13,7 +15,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 class TestAsFreq:
diff --git a/pandas/tests/frame/methods/test_asof.py b/pandas/tests/frame/methods/test_asof.py
index a08f8bf5f502e..01068ab93dfa9 100644
--- a/pandas/tests/frame/methods/test_asof.py
+++ b/pandas/tests/frame/methods/test_asof.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    IncompatibleFrequency,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/frame/methods/test_assign.py b/pandas/tests/frame/methods/test_assign.py
index 0ae501d43e742..bec48a6e7b542 100644
--- a/pandas/tests/frame/methods/test_assign.py
+++ b/pandas/tests/frame/methods/test_assign.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_astype.py b/pandas/tests/frame/methods/test_astype.py
index 08546f03cee69..737d15b177804 100644
--- a/pandas/tests/frame/methods/test_astype.py
+++ b/pandas/tests/frame/methods/test_astype.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import pa_version_under7p0
+from pandas.compat import (
+    pa_version_under7p0,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/frame/methods/test_at_time.py b/pandas/tests/frame/methods/test_at_time.py
index 8537c32c24e3a..b4b9267c8a38d 100644
--- a/pandas/tests/frame/methods/test_at_time.py
+++ b/pandas/tests/frame/methods/test_at_time.py
@@ -1,10 +1,14 @@
-from datetime import time
+from datetime import (
+    time,
+)
 
 import numpy as np
 import pytest
 import pytz
 
-from pandas._libs.tslibs import timezones
+from pandas._libs.tslibs import (
+    timezones,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/frame/methods/test_between_time.py b/pandas/tests/frame/methods/test_between_time.py
index 4573e83c8eecc..bb9476ff98b1b 100644
--- a/pandas/tests/frame/methods/test_between_time.py
+++ b/pandas/tests/frame/methods/test_between_time.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import timezones
+from pandas._libs.tslibs import (
+    timezones,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/frame/methods/test_combine_first.py b/pandas/tests/frame/methods/test_combine_first.py
index 7983aace587c6..f58e531b60148 100644
--- a/pandas/tests/frame/methods/test_combine_first.py
+++ b/pandas/tests/frame/methods/test_combine_first.py
@@ -1,10 +1,16 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import find_common_type
-from pandas.core.dtypes.common import is_dtype_equal
+from pandas.core.dtypes.cast import (
+    find_common_type,
+)
+from pandas.core.dtypes.common import (
+    is_dtype_equal,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/frame/methods/test_compare.py b/pandas/tests/frame/methods/test_compare.py
index fe74ec8077bc9..08cac969d0bd0 100644
--- a/pandas/tests/frame/methods/test_compare.py
+++ b/pandas/tests/frame/methods/test_compare.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
+from pandas.compat import (
+    is_numpy_dev,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/frame/methods/test_copy.py b/pandas/tests/frame/methods/test_copy.py
index 1c0b0755e7d94..3bfd48f6d62cc 100644
--- a/pandas/tests/frame/methods/test_copy.py
+++ b/pandas/tests/frame/methods/test_copy.py
@@ -3,7 +3,9 @@
 
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_drop.py b/pandas/tests/frame/methods/test_drop.py
index ac0b0866c467f..9ed396ec008a4 100644
--- a/pandas/tests/frame/methods/test_drop.py
+++ b/pandas/tests/frame/methods/test_drop.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/frame/methods/test_drop_duplicates.py b/pandas/tests/frame/methods/test_drop_duplicates.py
index df12139258a6d..4aeb190957bca 100644
--- a/pandas/tests/frame/methods/test_drop_duplicates.py
+++ b/pandas/tests/frame/methods/test_drop_duplicates.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/frame/methods/test_dtypes.py b/pandas/tests/frame/methods/test_dtypes.py
index f3b77c27d75bd..34751e3e762c5 100644
--- a/pandas/tests/frame/methods/test_dtypes.py
+++ b/pandas/tests/frame/methods/test_dtypes.py
@@ -1,9 +1,13 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/frame/methods/test_fillna.py b/pandas/tests/frame/methods/test_fillna.py
index f161cf7b3c525..c575c81d2497d 100644
--- a/pandas/tests/frame/methods/test_fillna.py
+++ b/pandas/tests/frame/methods/test_fillna.py
@@ -16,7 +16,9 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.tests.frame.common import _check_mixed_float
+from pandas.tests.frame.common import (
+    _check_mixed_float,
+)
 
 
 class TestFillNA:
diff --git a/pandas/tests/frame/methods/test_filter.py b/pandas/tests/frame/methods/test_filter.py
index af77db4058b43..6461c7913365b 100644
--- a/pandas/tests/frame/methods/test_filter.py
+++ b/pandas/tests/frame/methods/test_filter.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_get_numeric_data.py b/pandas/tests/frame/methods/test_get_numeric_data.py
index bed611b3a969e..63e7c4d9aae9a 100644
--- a/pandas/tests/frame/methods/test_get_numeric_data.py
+++ b/pandas/tests/frame/methods/test_get_numeric_data.py
@@ -9,7 +9,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.arrays import IntervalArray
+from pandas.core.arrays import (
+    IntervalArray,
+)
 
 
 class TestGetNumericData:
diff --git a/pandas/tests/frame/methods/test_head_tail.py b/pandas/tests/frame/methods/test_head_tail.py
index 99cb7840c3eb6..c8aa77f3ef0f3 100644
--- a/pandas/tests/frame/methods/test_head_tail.py
+++ b/pandas/tests/frame/methods/test_head_tail.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_infer_objects.py b/pandas/tests/frame/methods/test_infer_objects.py
index a824a615b5c29..5fe869b17dbc3 100644
--- a/pandas/tests/frame/methods/test_infer_objects.py
+++ b/pandas/tests/frame/methods/test_infer_objects.py
@@ -1,6 +1,10 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_join.py b/pandas/tests/frame/methods/test_join.py
index e158a99eedc1e..b23bc9cc2208e 100644
--- a/pandas/tests/frame/methods/test_join.py
+++ b/pandas/tests/frame/methods/test_join.py
@@ -1,9 +1,13 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import MergeError
+from pandas.errors import (
+    MergeError,
+)
 
 import pandas as pd
 from pandas import (
@@ -14,7 +18,9 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.core.reshape.concat import concat
+from pandas.core.reshape.concat import (
+    concat,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/frame/methods/test_nlargest.py b/pandas/tests/frame/methods/test_nlargest.py
index b5c33a41dd780..f46efcb5fa491 100644
--- a/pandas/tests/frame/methods/test_nlargest.py
+++ b/pandas/tests/frame/methods/test_nlargest.py
@@ -2,7 +2,9 @@
 Note: for naming purposes, most tests are title with as e.g. "test_nlargest_foo"
 but are implicitly also testing nsmallest_foo.
 """
-from string import ascii_lowercase
+from string import (
+    ascii_lowercase,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/methods/test_rank.py b/pandas/tests/frame/methods/test_rank.py
index e07ff7e919509..55eb62e249ec0 100644
--- a/pandas/tests/frame/methods/test_rank.py
+++ b/pandas/tests/frame/methods/test_rank.py
@@ -41,7 +41,9 @@ def method(self, request):
     @td.skip_if_no_scipy
     def test_rank(self, float_frame):
         import scipy.stats  # noqa:F401
-        from scipy.stats import rankdata
+        from scipy.stats import (
+            rankdata,
+        )
 
         float_frame.loc[::2, "A"] = np.nan
         float_frame.loc[::3, "B"] = np.nan
@@ -143,7 +145,9 @@ def test_rank_mixed_frame(self, float_string_frame):
     @td.skip_if_no_scipy
     def test_rank_na_option(self, float_frame):
         import scipy.stats  # noqa:F401
-        from scipy.stats import rankdata
+        from scipy.stats import (
+            rankdata,
+        )
 
         float_frame.loc[::2, "A"] = np.nan
         float_frame.loc[::3, "B"] = np.nan
@@ -227,7 +231,9 @@ def test_rank_axis(self):
     @td.skip_if_no_scipy
     def test_rank_methods_frame(self):
         import scipy.stats  # noqa:F401
-        from scipy.stats import rankdata
+        from scipy.stats import (
+            rankdata,
+        )
 
         xs = np.random.randint(0, 21, (100, 26))
         xs = (xs - 10.0) / 10.0
diff --git a/pandas/tests/frame/methods/test_reindex.py b/pandas/tests/frame/methods/test_reindex.py
index ceea53e3dd8bf..b36bb1d88c74a 100644
--- a/pandas/tests/frame/methods/test_reindex.py
+++ b/pandas/tests/frame/methods/test_reindex.py
@@ -7,7 +7,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
+from pandas._libs.tslibs.timezones import (
+    dateutil_gettz as gettz,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -22,7 +24,9 @@
     isna,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype as CDT
+from pandas.api.types import (
+    CategoricalDtype as CDT,
+)
 import pandas.core.common as com
 
 
diff --git a/pandas/tests/frame/methods/test_reindex_like.py b/pandas/tests/frame/methods/test_reindex_like.py
index ce68ec28eec3d..020733c226c36 100644
--- a/pandas/tests/frame/methods/test_reindex_like.py
+++ b/pandas/tests/frame/methods/test_reindex_like.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_rename.py b/pandas/tests/frame/methods/test_rename.py
index 6d8af97a5d210..1a0bfd6ce29f0 100644
--- a/pandas/tests/frame/methods/test_rename.py
+++ b/pandas/tests/frame/methods/test_rename.py
@@ -1,4 +1,6 @@
-from collections import ChainMap
+from collections import (
+    ChainMap,
+)
 import inspect
 
 import numpy as np
diff --git a/pandas/tests/frame/methods/test_replace.py b/pandas/tests/frame/methods/test_replace.py
index 466d48fba4779..95783c28b70cc 100644
--- a/pandas/tests/frame/methods/test_replace.py
+++ b/pandas/tests/frame/methods/test_replace.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/frame/methods/test_reset_index.py b/pandas/tests/frame/methods/test_reset_index.py
index 8a11a59cdcb58..e9b224012929f 100644
--- a/pandas/tests/frame/methods/test_reset_index.py
+++ b/pandas/tests/frame/methods/test_reset_index.py
@@ -1,5 +1,9 @@
-from datetime import datetime
-from itertools import product
+from datetime import (
+    datetime,
+)
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/methods/test_select_dtypes.py b/pandas/tests/frame/methods/test_select_dtypes.py
index 2e9c75fe25652..40e93f4b1d312 100644
--- a/pandas/tests/frame/methods/test_select_dtypes.py
+++ b/pandas/tests/frame/methods/test_select_dtypes.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import ExtensionDtype
+from pandas.core.dtypes.dtypes import (
+    ExtensionDtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -9,7 +11,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.arrays import ExtensionArray
+from pandas.core.arrays import (
+    ExtensionArray,
+)
 
 
 class DummyDtype(ExtensionDtype):
diff --git a/pandas/tests/frame/methods/test_swapaxes.py b/pandas/tests/frame/methods/test_swapaxes.py
index 5da2c2292f137..b39dd43fce645 100644
--- a/pandas/tests/frame/methods/test_swapaxes.py
+++ b/pandas/tests/frame/methods/test_swapaxes.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_swaplevel.py b/pandas/tests/frame/methods/test_swaplevel.py
index 5511ac7d6b1b2..e8742ea9d9303 100644
--- a/pandas/tests/frame/methods/test_swaplevel.py
+++ b/pandas/tests/frame/methods/test_swaplevel.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/methods/test_to_csv.py b/pandas/tests/frame/methods/test_to_csv.py
index 8a68876d7e11a..6a4b7c915aeb3 100644
--- a/pandas/tests/frame/methods/test_to_csv.py
+++ b/pandas/tests/frame/methods/test_to_csv.py
@@ -1,11 +1,15 @@
 import csv
-from io import StringIO
+from io import (
+    StringIO,
+)
 import os
 
 import numpy as np
 import pytest
 
-from pandas.errors import ParserError
+from pandas.errors import (
+    ParserError,
+)
 
 import pandas as pd
 from pandas import (
@@ -22,7 +26,9 @@
 import pandas._testing as tm
 import pandas.core.common as com
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 
 class TestDataFrameToCSV:
diff --git a/pandas/tests/frame/methods/test_to_dict.py b/pandas/tests/frame/methods/test_to_dict.py
index e64b212a8513c..8951cdacc6a6b 100644
--- a/pandas/tests/frame/methods/test_to_dict.py
+++ b/pandas/tests/frame/methods/test_to_dict.py
@@ -2,7 +2,9 @@
     OrderedDict,
     defaultdict,
 )
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/methods/test_to_dict_of_blocks.py b/pandas/tests/frame/methods/test_to_dict_of_blocks.py
index cc4860beea491..df14fa5488c21 100644
--- a/pandas/tests/frame/methods/test_to_dict_of_blocks.py
+++ b/pandas/tests/frame/methods/test_to_dict_of_blocks.py
@@ -8,7 +8,9 @@
     MultiIndex,
 )
 import pandas._testing as tm
-from pandas.core.arrays import PandasArray
+from pandas.core.arrays import (
+    PandasArray,
+)
 
 pytestmark = td.skip_array_manager_invalid_test
 
diff --git a/pandas/tests/frame/methods/test_to_records.py b/pandas/tests/frame/methods/test_to_records.py
index f2eea452764a6..73a034e82982b 100644
--- a/pandas/tests/frame/methods/test_to_records.py
+++ b/pandas/tests/frame/methods/test_to_records.py
@@ -1,6 +1,10 @@
-from collections import abc
+from collections import (
+    abc,
+)
 import email
-from email.parser import Parser
+from email.parser import (
+    Parser,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/methods/test_to_timestamp.py b/pandas/tests/frame/methods/test_to_timestamp.py
index fea070a3c0b38..d556f23e6b13d 100644
--- a/pandas/tests/frame/methods/test_to_timestamp.py
+++ b/pandas/tests/frame/methods/test_to_timestamp.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/methods/test_tz_localize.py b/pandas/tests/frame/methods/test_tz_localize.py
index ed2b0b247e62c..afbeb42078a8f 100644
--- a/pandas/tests/frame/methods/test_tz_localize.py
+++ b/pandas/tests/frame/methods/test_tz_localize.py
@@ -1,4 +1,6 @@
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/test_alter_axes.py b/pandas/tests/frame/test_alter_axes.py
index c68171ab254c7..92f7a12fe3a69 100644
--- a/pandas/tests/frame/test_alter_axes.py
+++ b/pandas/tests/frame/test_alter_axes.py
@@ -1,8 +1,12 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytz
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/frame/test_api.py b/pandas/tests/frame/test_api.py
index e5787a7f16a35..af9946ed8b21a 100644
--- a/pandas/tests/frame/test_api.py
+++ b/pandas/tests/frame/test_api.py
@@ -1,11 +1,15 @@
-from copy import deepcopy
+from copy import (
+    deepcopy,
+)
 import inspect
 import pydoc
 
 import numpy as np
 import pytest
 
-from pandas._config.config import option_context
+from pandas._config.config import (
+    option_context,
+)
 
 from pandas.util._test_decorators import (
     async_mark,
@@ -295,7 +299,9 @@ def _check_f(base, f):
     async def test_tab_complete_warning(self, ip, frame_or_series):
         # GH 16409
         pytest.importorskip("IPython", minversion="6.0.0")
-        from IPython.core.completer import provisionalcompleter
+        from IPython.core.completer import (
+            provisionalcompleter,
+        )
 
         if frame_or_series is DataFrame:
             code = "from pandas import DataFrame; obj = DataFrame()"
diff --git a/pandas/tests/frame/test_arithmetic.py b/pandas/tests/frame/test_arithmetic.py
index bcc1ae0183b97..33075910250ac 100644
--- a/pandas/tests/frame/test_arithmetic.py
+++ b/pandas/tests/frame/test_arithmetic.py
@@ -1,9 +1,13 @@
-from collections import deque
+from collections import (
+    deque,
+)
 from datetime import (
     datetime,
     timezone,
 )
-from enum import Enum
+from enum import (
+    Enum,
+)
 import functools
 import operator
 import re
@@ -22,7 +26,9 @@
 )
 import pandas._testing as tm
 import pandas.core.common as com
-from pandas.core.computation import expressions as expr
+from pandas.core.computation import (
+    expressions as expr,
+)
 from pandas.core.computation.expressions import (
     _MIN_ELEMENTS,
     NUMEXPR_INSTALLED,
diff --git a/pandas/tests/frame/test_block_internals.py b/pandas/tests/frame/test_block_internals.py
index 8b0ac237f1480..2b7078b068d6d 100644
--- a/pandas/tests/frame/test_block_internals.py
+++ b/pandas/tests/frame/test_block_internals.py
@@ -7,7 +7,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py
index 569ec613cbcb9..53f8383677aed 100644
--- a/pandas/tests/frame/test_constructors.py
+++ b/pandas/tests/frame/test_constructors.py
@@ -5,7 +5,9 @@
     defaultdict,
     namedtuple,
 )
-from dataclasses import make_dataclass
+from dataclasses import (
+    make_dataclass,
+)
 from datetime import (
     date,
     datetime,
@@ -14,19 +16,29 @@
 import functools
 import random
 import re
-from typing import Iterator
+from typing import (
+    Iterator,
+)
 import warnings
 
 import numpy as np
-from numpy import ma
-from numpy.ma import mrecords
+from numpy import (
+    ma,
+)
+from numpy.ma import (
+    mrecords,
+)
 import pytest
 import pytz
 
-from pandas.errors import IntCastingNaNError
+from pandas.errors import (
+    IntCastingNaNError,
+)
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_integer_dtype
+from pandas.core.dtypes.common import (
+    is_integer_dtype,
+)
 from pandas.core.dtypes.dtypes import (
     DatetimeTZDtype,
     IntervalDtype,
diff --git a/pandas/tests/frame/test_query_eval.py b/pandas/tests/frame/test_query_eval.py
index fc0c81339de08..8a93b8ab5627b 100644
--- a/pandas/tests/frame/test_query_eval.py
+++ b/pandas/tests/frame/test_query_eval.py
@@ -18,7 +18,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.computation.check import NUMEXPR_INSTALLED
+from pandas.core.computation.check import (
+    NUMEXPR_INSTALLED,
+)
 
 
 @pytest.fixture(params=["python", "pandas"], ids=lambda x: x)
diff --git a/pandas/tests/frame/test_reductions.py b/pandas/tests/frame/test_reductions.py
index 28809e2ecb788..8b80537d40444 100644
--- a/pandas/tests/frame/test_reductions.py
+++ b/pandas/tests/frame/test_reductions.py
@@ -1,15 +1,25 @@
-from datetime import timedelta
-from decimal import Decimal
+from datetime import (
+    timedelta,
+)
+from decimal import (
+    Decimal,
+)
 import re
 
-from dateutil.tz import tzlocal
+from dateutil.tz import (
+    tzlocal,
+)
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_categorical_dtype
+from pandas.core.dtypes.common import (
+    is_categorical_dtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -264,14 +274,18 @@ def sem(x):
     @td.skip_if_no_scipy
     def test_stat_op_calc_skew_kurtosis(self, float_frame_with_na):
         def skewness(x):
-            from scipy.stats import skew
+            from scipy.stats import (
+                skew,
+            )
 
             if len(x) < 3:
                 return np.nan
             return skew(x, bias=False)
 
         def kurt(x):
-            from scipy.stats import kurtosis
+            from scipy.stats import (
+                kurtosis,
+            )
 
             if len(x) < 4:
                 return np.nan
diff --git a/pandas/tests/frame/test_repr_info.py b/pandas/tests/frame/test_repr_info.py
index 66d8084abea68..68ff24dd76b03 100644
--- a/pandas/tests/frame/test_repr_info.py
+++ b/pandas/tests/frame/test_repr_info.py
@@ -2,7 +2,9 @@
     datetime,
     timedelta,
 )
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/frame/test_stack_unstack.py b/pandas/tests/frame/test_stack_unstack.py
index 4a23e750e7875..c793b73bb3623 100644
--- a/pandas/tests/frame/test_stack_unstack.py
+++ b/pandas/tests/frame/test_stack_unstack.py
@@ -1,11 +1,17 @@
-from datetime import datetime
-from io import StringIO
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
 import itertools
 
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
@@ -18,7 +24,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.reshape import reshape as reshape_lib
+from pandas.core.reshape import (
+    reshape as reshape_lib,
+)
 
 
 class TestDataFrameReshape:
diff --git a/pandas/tests/frame/test_ufunc.py b/pandas/tests/frame/test_ufunc.py
index 74afb573793a9..2a8feed8f754f 100644
--- a/pandas/tests/frame/test_ufunc.py
+++ b/pandas/tests/frame/test_ufunc.py
@@ -1,4 +1,6 @@
-from functools import partial
+from functools import (
+    partial,
+)
 import re
 
 import numpy as np
@@ -8,7 +10,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.types import is_extension_array_dtype
+from pandas.api.types import (
+    is_extension_array_dtype,
+)
 
 dtypes = [
     "int64",
diff --git a/pandas/tests/frame/test_unary.py b/pandas/tests/frame/test_unary.py
index a9ec726ab443e..6951f19d34191 100644
--- a/pandas/tests/frame/test_unary.py
+++ b/pandas/tests/frame/test_unary.py
@@ -1,9 +1,13 @@
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
+from pandas.compat import (
+    is_numpy_dev,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/frame/test_validate.py b/pandas/tests/frame/test_validate.py
index e99e0a6863848..b1c258c2bb51d 100644
--- a/pandas/tests/frame/test_validate.py
+++ b/pandas/tests/frame/test_validate.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.core.frame import DataFrame
+from pandas.core.frame import (
+    DataFrame,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/generic/test_frame.py b/pandas/tests/generic/test_frame.py
index 8a1e0f0923531..b637300085c65 100644
--- a/pandas/tests/generic/test_frame.py
+++ b/pandas/tests/generic/test_frame.py
@@ -1,5 +1,9 @@
-from copy import deepcopy
-from operator import methodcaller
+from copy import (
+    deepcopy,
+)
+from operator import (
+    methodcaller,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/generic/test_generic.py b/pandas/tests/generic/test_generic.py
index 54d08b577a47a..f9fd2e2a22ced 100644
--- a/pandas/tests/generic/test_generic.py
+++ b/pandas/tests/generic/test_generic.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_scalar
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/generic/test_label_or_level_utils.py b/pandas/tests/generic/test_label_or_level_utils.py
index 97be46f716d7d..81a7fe3fcb2ac 100644
--- a/pandas/tests/generic/test_label_or_level_utils.py
+++ b/pandas/tests/generic/test_label_or_level_utils.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.core.dtypes.missing import array_equivalent
+from pandas.core.dtypes.missing import (
+    array_equivalent,
+)
 
 import pandas as pd
 
diff --git a/pandas/tests/generic/test_series.py b/pandas/tests/generic/test_series.py
index 5098897f057a5..57674fca9e745 100644
--- a/pandas/tests/generic/test_series.py
+++ b/pandas/tests/generic/test_series.py
@@ -1,4 +1,6 @@
-from operator import methodcaller
+from operator import (
+    methodcaller,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/generic/test_to_xarray.py b/pandas/tests/generic/test_to_xarray.py
index 1fbd82f01213b..2e9423f625017 100644
--- a/pandas/tests/generic/test_to_xarray.py
+++ b/pandas/tests/generic/test_to_xarray.py
@@ -36,7 +36,9 @@ def test_to_xarray_index_types(self, index_flat, df):
         if len(index) == 0:
             pytest.skip("Test doesn't make sense for empty index")
 
-        from xarray import Dataset
+        from xarray import (
+            Dataset,
+        )
 
         df.index = index[:3]
         df.index.name = "foo"
@@ -57,7 +59,9 @@ def test_to_xarray_index_types(self, index_flat, df):
         tm.assert_frame_equal(result.to_dataframe(), expected)
 
     def test_to_xarray_empty(self, df):
-        from xarray import Dataset
+        from xarray import (
+            Dataset,
+        )
 
         df.index.name = "foo"
         result = df[0:0].to_xarray()
@@ -65,7 +69,9 @@ def test_to_xarray_empty(self, df):
         assert isinstance(result, Dataset)
 
     def test_to_xarray_with_multiindex(self, df):
-        from xarray import Dataset
+        from xarray import (
+            Dataset,
+        )
 
         # MultiIndex
         df.index = MultiIndex.from_product([["a"], range(3)], names=["one", "two"])
@@ -90,7 +96,9 @@ def test_to_xarray_index_types(self, index_flat):
         index = index_flat
         # MultiIndex is tested in test_to_xarray_with_multiindex
 
-        from xarray import DataArray
+        from xarray import (
+            DataArray,
+        )
 
         ser = Series(range(len(index)), index=index, dtype="int64")
         ser.index.name = "foo"
@@ -105,7 +113,9 @@ def test_to_xarray_index_types(self, index_flat):
         tm.assert_series_equal(result.to_series(), ser)
 
     def test_to_xarray_empty(self):
-        from xarray import DataArray
+        from xarray import (
+            DataArray,
+        )
 
         ser = Series([], dtype=object)
         ser.index.name = "foo"
@@ -116,7 +126,9 @@ def test_to_xarray_empty(self):
         assert isinstance(result, DataArray)
 
     def test_to_xarray_with_multiindex(self):
-        from xarray import DataArray
+        from xarray import (
+            DataArray,
+        )
 
         mi = MultiIndex.from_product([["a", "b"], range(3)], names=["one", "two"])
         ser = Series(range(6), dtype="int64", index=mi)
diff --git a/pandas/tests/groupby/aggregate/test_aggregate.py b/pandas/tests/groupby/aggregate/test_aggregate.py
index d658de4a7d7c3..b3e9a4576da8f 100644
--- a/pandas/tests/groupby/aggregate/test_aggregate.py
+++ b/pandas/tests/groupby/aggregate/test_aggregate.py
@@ -3,15 +3,21 @@
 """
 import datetime
 import functools
-from functools import partial
+from functools import (
+    partial,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas.errors import SpecificationError
+from pandas.errors import (
+    SpecificationError,
+)
 
-from pandas.core.dtypes.common import is_integer_dtype
+from pandas.core.dtypes.common import (
+    is_integer_dtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -23,7 +29,9 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.core.groupby.grouper import Grouping
+from pandas.core.groupby.grouper import (
+    Grouping,
+)
 
 
 def test_groupby_agg_no_extra_calls():
diff --git a/pandas/tests/groupby/aggregate/test_numba.py b/pandas/tests/groupby/aggregate/test_numba.py
index 9dd3d1d45abf0..9cee3617937f4 100644
--- a/pandas/tests/groupby/aggregate/test_numba.py
+++ b/pandas/tests/groupby/aggregate/test_numba.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import NumbaUtilError
+from pandas.errors import (
+    NumbaUtilError,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/groupby/aggregate/test_other.py b/pandas/tests/groupby/aggregate/test_other.py
index aad1218190a84..cf3e5b0600df9 100644
--- a/pandas/tests/groupby/aggregate/test_other.py
+++ b/pandas/tests/groupby/aggregate/test_other.py
@@ -3,12 +3,16 @@
 """
 
 import datetime as dt
-from functools import partial
+from functools import (
+    partial,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import SpecificationError
+from pandas.errors import (
+    SpecificationError,
+)
 
 import pandas as pd
 from pandas import (
@@ -22,7 +26,9 @@
 )
 import pandas._testing as tm
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 def test_agg_partial_failure_raises():
diff --git a/pandas/tests/groupby/conftest.py b/pandas/tests/groupby/conftest.py
index 7e7b97d9273dc..2192dce436f21 100644
--- a/pandas/tests/groupby/conftest.py
+++ b/pandas/tests/groupby/conftest.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 from pandas.core.groupby.base import (
     reduction_kernels,
diff --git a/pandas/tests/groupby/test_allowlist.py b/pandas/tests/groupby/test_allowlist.py
index c7657d3e8eea5..0254ddf1bf9c9 100644
--- a/pandas/tests/groupby/test_allowlist.py
+++ b/pandas/tests/groupby/test_allowlist.py
@@ -3,7 +3,9 @@
 the so-called white/black lists
 """
 
-from string import ascii_lowercase
+from string import (
+    ascii_lowercase,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/groupby/test_apply.py b/pandas/tests/groupby/test_apply.py
index 5fa7ed15a01d4..0c61d5cfa6872 100644
--- a/pandas/tests/groupby/test_apply.py
+++ b/pandas/tests/groupby/test_apply.py
@@ -2,7 +2,9 @@
     date,
     datetime,
 )
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
@@ -16,7 +18,9 @@
     bdate_range,
 )
 import pandas._testing as tm
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 def test_apply_issues():
diff --git a/pandas/tests/groupby/test_bin_groupby.py b/pandas/tests/groupby/test_bin_groupby.py
index 49b2e621b7adc..22d3d2f1d33ed 100644
--- a/pandas/tests/groupby/test_bin_groupby.py
+++ b/pandas/tests/groupby/test_bin_groupby.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/groupby/test_categorical.py b/pandas/tests/groupby/test_categorical.py
index fa8df166d56ac..b4d2d39e5858c 100644
--- a/pandas/tests/groupby/test_categorical.py
+++ b/pandas/tests/groupby/test_categorical.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -14,7 +16,9 @@
     qcut,
 )
 import pandas._testing as tm
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 def cartesian_product_for_groupers(result, args, names, fill_value=np.NaN):
diff --git a/pandas/tests/groupby/test_counting.py b/pandas/tests/groupby/test_counting.py
index 7e7f1a628da6e..50dced5571e9a 100644
--- a/pandas/tests/groupby/test_counting.py
+++ b/pandas/tests/groupby/test_counting.py
@@ -1,5 +1,9 @@
-from itertools import product
-from string import ascii_lowercase
+from itertools import (
+    product,
+)
+from string import (
+    ascii_lowercase,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/groupby/test_filters.py b/pandas/tests/groupby/test_filters.py
index f534a0c65fdbc..8e0ad9780ce77 100644
--- a/pandas/tests/groupby/test_filters.py
+++ b/pandas/tests/groupby/test_filters.py
@@ -1,4 +1,6 @@
-from string import ascii_lowercase
+from string import (
+    ascii_lowercase,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/groupby/test_function.py b/pandas/tests/groupby/test_function.py
index 535e8fa5b9354..a67a72980067d 100644
--- a/pandas/tests/groupby/test_function.py
+++ b/pandas/tests/groupby/test_function.py
@@ -1,11 +1,17 @@
 import builtins
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs import lib
-from pandas.errors import UnsupportedFunctionCall
+from pandas._libs import (
+    lib,
+)
+from pandas.errors import (
+    UnsupportedFunctionCall,
+)
 
 import pandas as pd
 from pandas import (
@@ -17,9 +23,15 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core import nanops
-from pandas.tests.groupby import get_groupby_method_args
-from pandas.util import _test_decorators as td
+from pandas.core import (
+    nanops,
+)
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
+from pandas.util import (
+    _test_decorators as td,
+)
 
 
 @pytest.fixture(
@@ -634,7 +646,9 @@ def test_groupby_cumprod_nan_influences_other_columns():
 
 
 def scipy_sem(*args, **kwargs):
-    from scipy.stats import sem
+    from scipy.stats import (
+        sem,
+    )
 
     return sem(*args, ddof=1, **kwargs)
 
diff --git a/pandas/tests/groupby/test_groupby.py b/pandas/tests/groupby/test_groupby.py
index e225ff5a0fa43..d0bebef3a45ff 100644
--- a/pandas/tests/groupby/test_groupby.py
+++ b/pandas/tests/groupby/test_groupby.py
@@ -1,10 +1,16 @@
-from datetime import datetime
-from decimal import Decimal
+from datetime import (
+    datetime,
+)
+from decimal import (
+    Decimal,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 from pandas.errors import (
     PerformanceWarning,
     SpecificationError,
@@ -25,9 +31,13 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.core.arrays import BooleanArray
+from pandas.core.arrays import (
+    BooleanArray,
+)
 import pandas.core.common as com
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 def test_repr():
diff --git a/pandas/tests/groupby/test_groupby_dropna.py b/pandas/tests/groupby/test_groupby_dropna.py
index 31a8e7a7d36ac..48cb30c8deb29 100644
--- a/pandas/tests/groupby/test_groupby_dropna.py
+++ b/pandas/tests/groupby/test_groupby_dropna.py
@@ -1,13 +1,19 @@
 import numpy as np
 import pytest
 
-from pandas.compat.pyarrow import pa_version_under7p0
+from pandas.compat.pyarrow import (
+    pa_version_under7p0,
+)
 
-from pandas.core.dtypes.missing import na_value_for_dtype
+from pandas.core.dtypes.missing import (
+    na_value_for_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/groupby/test_groupby_subclass.py b/pandas/tests/groupby/test_groupby_subclass.py
index 773c1e60e97af..c7f3952ea63c7 100644
--- a/pandas/tests/groupby/test_groupby_subclass.py
+++ b/pandas/tests/groupby/test_groupby_subclass.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -9,7 +11,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/groupby/test_grouping.py b/pandas/tests/groupby/test_grouping.py
index f5bbfce560d33..ac32615377bb5 100644
--- a/pandas/tests/groupby/test_grouping.py
+++ b/pandas/tests/groupby/test_grouping.py
@@ -21,7 +21,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.groupby.grouper import Grouping
+from pandas.core.groupby.grouper import (
+    Grouping,
+)
 
 # selection
 # --------------------------------
diff --git a/pandas/tests/groupby/test_libgroupby.py b/pandas/tests/groupby/test_libgroupby.py
index 4cea6d10af9e0..e877b1a3b5bf6 100644
--- a/pandas/tests/groupby/test_libgroupby.py
+++ b/pandas/tests/groupby/test_libgroupby.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs import groupby as libgroupby
+from pandas._libs import (
+    groupby as libgroupby,
+)
 from pandas._libs.groupby import (
     group_cumprod,
     group_cumsum,
@@ -9,9 +11,13 @@
     group_var,
 )
 
-from pandas.core.dtypes.common import ensure_platform_int
+from pandas.core.dtypes.common import (
+    ensure_platform_int,
+)
 
-from pandas import isna
+from pandas import (
+    isna,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/groupby/test_min_max.py b/pandas/tests/groupby/test_min_max.py
index 11f62c5d03c49..c149047e4dd9d 100644
--- a/pandas/tests/groupby/test_min_max.py
+++ b/pandas/tests/groupby/test_min_max.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import iNaT
+from pandas._libs.tslibs import (
+    iNaT,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/groupby/test_nunique.py b/pandas/tests/groupby/test_nunique.py
index 282c91c82f5b1..0da9bdca8f89b 100644
--- a/pandas/tests/groupby/test_nunique.py
+++ b/pandas/tests/groupby/test_nunique.py
@@ -1,5 +1,7 @@
 import datetime as dt
-from string import ascii_lowercase
+from string import (
+    ascii_lowercase,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/groupby/test_raises.py b/pandas/tests/groupby/test_raises.py
index 0dd845bc35482..f39eefa64836a 100644
--- a/pandas/tests/groupby/test_raises.py
+++ b/pandas/tests/groupby/test_raises.py
@@ -13,7 +13,9 @@
     Grouper,
     Series,
 )
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 @pytest.fixture(
diff --git a/pandas/tests/groupby/test_rank.py b/pandas/tests/groupby/test_rank.py
index d0b848a567346..eebb959a151fb 100644
--- a/pandas/tests/groupby/test_rank.py
+++ b/pandas/tests/groupby/test_rank.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/groupby/test_timegrouper.py b/pandas/tests/groupby/test_timegrouper.py
index f9a1349081529..a1c090c79450a 100644
--- a/pandas/tests/groupby/test_timegrouper.py
+++ b/pandas/tests/groupby/test_timegrouper.py
@@ -5,7 +5,9 @@
     datetime,
     timedelta,
 )
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
@@ -25,8 +27,12 @@
     offsets,
 )
 import pandas._testing as tm
-from pandas.core.groupby.grouper import Grouper
-from pandas.core.groupby.ops import BinGrouper
+from pandas.core.groupby.grouper import (
+    Grouper,
+)
+from pandas.core.groupby.ops import (
+    BinGrouper,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/groupby/test_value_counts.py b/pandas/tests/groupby/test_value_counts.py
index 2c3c2277ed627..20dfa3abf9bd7 100644
--- a/pandas/tests/groupby/test_value_counts.py
+++ b/pandas/tests/groupby/test_value_counts.py
@@ -4,7 +4,9 @@
 and proper parameter handling
 """
 
-from itertools import product
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/groupby/transform/test_numba.py b/pandas/tests/groupby/transform/test_numba.py
index 0264d2a09778f..1751469875a3a 100644
--- a/pandas/tests/groupby/transform/test_numba.py
+++ b/pandas/tests/groupby/transform/test_numba.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.errors import NumbaUtilError
+from pandas.errors import (
+    NumbaUtilError,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/groupby/transform/test_transform.py b/pandas/tests/groupby/transform/test_transform.py
index 8abcc52db0500..674b6b3844a18 100644
--- a/pandas/tests/groupby/transform/test_transform.py
+++ b/pandas/tests/groupby/transform/test_transform.py
@@ -1,5 +1,7 @@
 """ test with the .transform """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
@@ -20,7 +22,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.groupby import get_groupby_method_args
+from pandas.tests.groupby import (
+    get_groupby_method_args,
+)
 
 
 def assert_fp_equal(a, b):
diff --git a/pandas/tests/indexes/base_class/test_formats.py b/pandas/tests/indexes/base_class/test_formats.py
index 9053d45dee623..89d430b3ebfe1 100644
--- a/pandas/tests/indexes/base_class/test_formats.py
+++ b/pandas/tests/indexes/base_class/test_formats.py
@@ -3,7 +3,9 @@
 
 import pandas._config.config as cf
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 
 
 class TestIndexRendering:
diff --git a/pandas/tests/indexes/base_class/test_pickle.py b/pandas/tests/indexes/base_class/test_pickle.py
index c670921decb78..c1468884ac69a 100644
--- a/pandas/tests/indexes/base_class/test_pickle.py
+++ b/pandas/tests/indexes/base_class/test_pickle.py
@@ -1,4 +1,6 @@
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/base_class/test_reshape.py b/pandas/tests/indexes/base_class/test_reshape.py
index 5ecb2c753644d..a2d5ffc87d244 100644
--- a/pandas/tests/indexes/base_class/test_reshape.py
+++ b/pandas/tests/indexes/base_class/test_reshape.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/base_class/test_setops.py b/pandas/tests/indexes/base_class/test_setops.py
index 21d1630af9de2..5c1c3afd287b9 100644
--- a/pandas/tests/indexes/base_class/test_setops.py
+++ b/pandas/tests/indexes/base_class/test_setops.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -9,7 +11,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.algorithms import safe_sort
+from pandas.core.algorithms import (
+    safe_sort,
+)
 
 
 class TestIndexSetOps:
diff --git a/pandas/tests/indexes/base_class/test_where.py b/pandas/tests/indexes/base_class/test_where.py
index 0c8969735e14e..0a8f01a045ea4 100644
--- a/pandas/tests/indexes/base_class/test_where.py
+++ b/pandas/tests/indexes/base_class/test_where.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/categorical/test_astype.py b/pandas/tests/indexes/categorical/test_astype.py
index da1d692f9eb2d..cd66efbaa425e 100644
--- a/pandas/tests/indexes/categorical/test_astype.py
+++ b/pandas/tests/indexes/categorical/test_astype.py
@@ -1,4 +1,6 @@
-from datetime import date
+from datetime import (
+    date,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/categorical/test_category.py b/pandas/tests/indexes/categorical/test_category.py
index d7fdbb39f3e69..cfa183682c208 100644
--- a/pandas/tests/indexes/categorical/test_category.py
+++ b/pandas/tests/indexes/categorical/test_category.py
@@ -1,8 +1,12 @@
 import numpy as np
 import pytest
 
-from pandas._libs import index as libindex
-from pandas._libs.arrays import NDArrayBacked
+from pandas._libs import (
+    index as libindex,
+)
+from pandas._libs.arrays import (
+    NDArrayBacked,
+)
 
 import pandas as pd
 from pandas import (
@@ -14,7 +18,9 @@
     CategoricalIndex,
     Index,
 )
-from pandas.tests.indexes.common import Base
+from pandas.tests.indexes.common import (
+    Base,
+)
 
 
 class TestCategoricalIndex(Base):
diff --git a/pandas/tests/indexes/categorical/test_fillna.py b/pandas/tests/indexes/categorical/test_fillna.py
index 09de578f3c649..3b0a6c445d043 100644
--- a/pandas/tests/indexes/categorical/test_fillna.py
+++ b/pandas/tests/indexes/categorical/test_fillna.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import CategoricalIndex
+from pandas import (
+    CategoricalIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/categorical/test_formats.py b/pandas/tests/indexes/categorical/test_formats.py
index 8e09f68c16707..5e2b28cd60b9f 100644
--- a/pandas/tests/indexes/categorical/test_formats.py
+++ b/pandas/tests/indexes/categorical/test_formats.py
@@ -3,7 +3,9 @@
 """
 import pandas._config.config as cf
 
-from pandas import CategoricalIndex
+from pandas import (
+    CategoricalIndex,
+)
 
 
 class TestCategoricalIndexRepr:
diff --git a/pandas/tests/indexes/categorical/test_indexing.py b/pandas/tests/indexes/categorical/test_indexing.py
index 01077616c50db..77a6245429133 100644
--- a/pandas/tests/indexes/categorical/test_indexing.py
+++ b/pandas/tests/indexes/categorical/test_indexing.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/common.py b/pandas/tests/indexes/common.py
index 272166e25e8a5..b92c4edb26e7f 100644
--- a/pandas/tests/indexes/common.py
+++ b/pandas/tests/indexes/common.py
@@ -1,18 +1,26 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import gc
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64tz_dtype,
     is_integer_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -28,7 +36,9 @@
     isna,
 )
 import pandas._testing as tm
-from pandas.core.arrays import BaseMaskedArray
+from pandas.core.arrays import (
+    BaseMaskedArray,
+)
 
 
 class Base:
diff --git a/pandas/tests/indexes/datetimelike.py b/pandas/tests/indexes/datetimelike.py
index dade67795bc81..0de7e228178bd 100644
--- a/pandas/tests/indexes/datetimelike.py
+++ b/pandas/tests/indexes/datetimelike.py
@@ -5,7 +5,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.indexes.common import Base
+from pandas.tests.indexes.common import (
+    Base,
+)
 
 
 class DatetimeLike(Base):
diff --git a/pandas/tests/indexes/datetimes/methods/test_astype.py b/pandas/tests/indexes/datetimes/methods/test_astype.py
index 94cf86b7fb9c5..e691c18eb9ba0 100644
--- a/pandas/tests/indexes/datetimes/methods/test_astype.py
+++ b/pandas/tests/indexes/datetimes/methods/test_astype.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import dateutil
 import numpy as np
diff --git a/pandas/tests/indexes/datetimes/methods/test_insert.py b/pandas/tests/indexes/datetimes/methods/test_insert.py
index cedf8cd54b81e..fc47b1385526b 100644
--- a/pandas/tests/indexes/datetimes/methods/test_insert.py
+++ b/pandas/tests/indexes/datetimes/methods/test_insert.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/datetimes/methods/test_shift.py b/pandas/tests/indexes/datetimes/methods/test_shift.py
index 65bdfc9053e5e..ecb33aada39be 100644
--- a/pandas/tests/indexes/datetimes/methods/test_shift.py
+++ b/pandas/tests/indexes/datetimes/methods/test_shift.py
@@ -1,9 +1,13 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 import pytz
 
-from pandas.errors import NullFrequencyError
+from pandas.errors import (
+    NullFrequencyError,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/datetimes/methods/test_to_period.py b/pandas/tests/indexes/datetimes/methods/test_to_period.py
index e4f8aef277f87..5ad6afebda145 100644
--- a/pandas/tests/indexes/datetimes/methods/test_to_period.py
+++ b/pandas/tests/indexes/datetimes/methods/test_to_period.py
@@ -1,12 +1,18 @@
 import warnings
 
 import dateutil.tz
-from dateutil.tz import tzlocal
+from dateutil.tz import (
+    tzlocal,
+)
 import pytest
 import pytz
 
-from pandas._libs.tslibs.ccalendar import MONTHS
-from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.ccalendar import (
+    MONTHS,
+)
+from pandas._libs.tslibs.period import (
+    INVALID_FREQ_ERR_MSG,
+)
 
 from pandas import (
     DatetimeIndex,
diff --git a/pandas/tests/indexes/datetimes/test_asof.py b/pandas/tests/indexes/datetimes/test_asof.py
index 7adc400302cb9..b3395511b653d 100644
--- a/pandas/tests/indexes/datetimes/test_asof.py
+++ b/pandas/tests/indexes/datetimes/test_asof.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 from pandas import (
     Index,
diff --git a/pandas/tests/indexes/datetimes/test_constructors.py b/pandas/tests/indexes/datetimes/test_constructors.py
index 689e6cdb47058..aae1af0aa1575 100644
--- a/pandas/tests/indexes/datetimes/test_constructors.py
+++ b/pandas/tests/indexes/datetimes/test_constructors.py
@@ -3,8 +3,12 @@
     timedelta,
     timezone,
 )
-from functools import partial
-from operator import attrgetter
+from functools import (
+    partial,
+)
+from operator import (
+    attrgetter,
+)
 
 import dateutil
 import numpy as np
diff --git a/pandas/tests/indexes/datetimes/test_date_range.py b/pandas/tests/indexes/datetimes/test_date_range.py
index ef909feccfcd3..76096627fcac1 100644
--- a/pandas/tests/indexes/datetimes/test_date_range.py
+++ b/pandas/tests/indexes/datetimes/test_date_range.py
@@ -11,9 +11,13 @@
 import numpy as np
 import pytest
 import pytz
-from pytz import timezone
+from pytz import (
+    timezone,
+)
 
-from pandas._libs.tslibs import timezones
+from pandas._libs.tslibs import (
+    timezones,
+)
 from pandas._libs.tslibs.offsets import (
     BDay,
     CDay,
@@ -21,7 +25,9 @@
     MonthEnd,
     prefix_mapping,
 )
-from pandas.errors import OutOfBoundsDatetime
+from pandas.errors import (
+    OutOfBoundsDatetime,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -34,7 +40,9 @@
     offsets,
 )
 import pandas._testing as tm
-from pandas.core.arrays.datetimes import _generate_range as generate_range
+from pandas.core.arrays.datetimes import (
+    _generate_range as generate_range,
+)
 
 START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
 
@@ -96,7 +104,9 @@ def test_date_range_timestamp_equiv_explicit_pytz(self):
 
     @td.skip_if_windows
     def test_date_range_timestamp_equiv_explicit_dateutil(self):
-        from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
+        from pandas._libs.tslibs.timezones import (
+            dateutil_gettz as gettz,
+        )
 
         rng = date_range("20090415", "20090519", tz=gettz("US/Eastern"))
         stamp = rng[0]
@@ -591,7 +601,9 @@ def test_range_tz_dateutil(self):
         # see gh-2906
 
         # Use maybe_get_tz to fix filename in tz under dateutil.
-        from pandas._libs.tslibs.timezones import maybe_get_tz
+        from pandas._libs.tslibs.timezones import (
+            maybe_get_tz,
+        )
 
         tz = lambda x: maybe_get_tz("dateutil/" + x)
 
@@ -824,7 +836,9 @@ def test_date_range_timezone_str_argument(self, tzstr):
         tm.assert_index_equal(result, expected)
 
     def test_date_range_with_fixedoffset_noname(self):
-        from pandas.tests.indexes.datetimes.test_timezones import fixed_off_no_name
+        from pandas.tests.indexes.datetimes.test_timezones import (
+            fixed_off_no_name,
+        )
 
         off = fixed_off_no_name
         start = datetime(2012, 3, 11, 5, 0, 0, tzinfo=off)
diff --git a/pandas/tests/indexes/datetimes/test_datetime.py b/pandas/tests/indexes/datetimes/test_datetime.py
index af1a94391a353..fe575f5488b5d 100644
--- a/pandas/tests/indexes/datetimes/test_datetime.py
+++ b/pandas/tests/indexes/datetimes/test_datetime.py
@@ -1,4 +1,6 @@
-from datetime import date
+from datetime import (
+    date,
+)
 
 import dateutil
 import numpy as np
diff --git a/pandas/tests/indexes/datetimes/test_datetimelike.py b/pandas/tests/indexes/datetimes/test_datetimelike.py
index 31ec8c497299e..e413cd23cf79f 100644
--- a/pandas/tests/indexes/datetimes/test_datetimelike.py
+++ b/pandas/tests/indexes/datetimes/test_datetimelike.py
@@ -6,7 +6,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.indexes.datetimelike import DatetimeLike
+from pandas.tests.indexes.datetimelike import (
+    DatetimeLike,
+)
 
 
 class TestDatetimeIndex(DatetimeLike):
diff --git a/pandas/tests/indexes/datetimes/test_formats.py b/pandas/tests/indexes/datetimes/test_formats.py
index a927799e39783..460ac9ab4f3d3 100644
--- a/pandas/tests/indexes/datetimes/test_formats.py
+++ b/pandas/tests/indexes/datetimes/test_formats.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import dateutil.tz
 import numpy as np
diff --git a/pandas/tests/indexes/datetimes/test_indexing.py b/pandas/tests/indexes/datetimes/test_indexing.py
index ecdea9ea25c9d..2a7642615cae0 100644
--- a/pandas/tests/indexes/datetimes/test_indexing.py
+++ b/pandas/tests/indexes/datetimes/test_indexing.py
@@ -19,7 +19,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries.frequencies import to_offset
+from pandas.tseries.frequencies import (
+    to_offset,
+)
 
 START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
 
@@ -418,7 +420,9 @@ def test_get_loc_time_obj(self):
     def test_get_loc_time_obj2(self):
         # GH#8667
 
-        from pandas._libs.index import _SIZE_CUTOFF
+        from pandas._libs.index import (
+            _SIZE_CUTOFF,
+        )
 
         ns = _SIZE_CUTOFF + np.array([-100, 100], dtype=np.int64)
         key = time(15, 11, 30)
diff --git a/pandas/tests/indexes/datetimes/test_misc.py b/pandas/tests/indexes/datetimes/test_misc.py
index f13dfcd5c20bd..625a91aa04ca2 100644
--- a/pandas/tests/indexes/datetimes/test_misc.py
+++ b/pandas/tests/indexes/datetimes/test_misc.py
@@ -1,5 +1,7 @@
 import calendar
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import locale
 import unicodedata
 
@@ -16,9 +18,13 @@
     offsets,
 )
 import pandas._testing as tm
-from pandas.core.arrays import DatetimeArray
+from pandas.core.arrays import (
+    DatetimeArray,
+)
 
-from pandas.tseries.frequencies import to_offset
+from pandas.tseries.frequencies import (
+    to_offset,
+)
 
 
 class TestDatetime64:
diff --git a/pandas/tests/indexes/datetimes/test_npfuncs.py b/pandas/tests/indexes/datetimes/test_npfuncs.py
index 301466c0da41c..e295577ca5fdf 100644
--- a/pandas/tests/indexes/datetimes/test_npfuncs.py
+++ b/pandas/tests/indexes/datetimes/test_npfuncs.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas import date_range
+from pandas import (
+    date_range,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/datetimes/test_ops.py b/pandas/tests/indexes/datetimes/test_ops.py
index d6ef4198fad2e..8abfb08d12c86 100644
--- a/pandas/tests/indexes/datetimes/test_ops.py
+++ b/pandas/tests/indexes/datetimes/test_ops.py
@@ -1,9 +1,15 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from dateutil.tz import tzlocal
+from dateutil.tz import (
+    tzlocal,
+)
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 
 from pandas import (
     DatetimeIndex,
diff --git a/pandas/tests/indexes/datetimes/test_partial_slicing.py b/pandas/tests/indexes/datetimes/test_partial_slicing.py
index f030f4101512e..8c3e980a227ed 100644
--- a/pandas/tests/indexes/datetimes/test_partial_slicing.py
+++ b/pandas/tests/indexes/datetimes/test_partial_slicing.py
@@ -1,6 +1,8 @@
 """ test partial slicing on Series/Frame """
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/datetimes/test_reindex.py b/pandas/tests/indexes/datetimes/test_reindex.py
index e4911aa3c4a29..d6b8d194cd721 100644
--- a/pandas/tests/indexes/datetimes/test_reindex.py
+++ b/pandas/tests/indexes/datetimes/test_reindex.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 
diff --git a/pandas/tests/indexes/datetimes/test_scalar_compat.py b/pandas/tests/indexes/datetimes/test_scalar_compat.py
index f07a9dce5f6ae..2a1e756a8cbe7 100644
--- a/pandas/tests/indexes/datetimes/test_scalar_compat.py
+++ b/pandas/tests/indexes/datetimes/test_scalar_compat.py
@@ -1,7 +1,9 @@
 """
 Tests for DatetimeIndex methods behaving like their Timestamp counterparts
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -10,7 +12,9 @@
     OutOfBoundsDatetime,
     to_offset,
 )
-from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.offsets import (
+    INVALID_FREQ_ERR_MSG,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/datetimes/test_setops.py b/pandas/tests/indexes/datetimes/test_setops.py
index c1b74319e2679..f6ebf577eca22 100644
--- a/pandas/tests/indexes/datetimes/test_setops.py
+++ b/pandas/tests/indexes/datetimes/test_setops.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -133,7 +135,9 @@ def test_union_bug_1745(self, sort):
         tm.assert_index_equal(result, exp)
 
     def test_union_bug_4564(self, sort):
-        from pandas import DateOffset
+        from pandas import (
+            DateOffset,
+        )
 
         left = date_range("2013-01-01", "2013-02-01")
         right = left + DateOffset(minutes=15)
@@ -298,7 +302,9 @@ def test_intersection_empty(self, tz_aware_fixture, freq):
             assert result.freq == rng.freq
 
     def test_intersection_bug_1708(self):
-        from pandas import DateOffset
+        from pandas import (
+            DateOffset,
+        )
 
         index_1 = date_range("1/1/2012", periods=4, freq="12H")
         index_2 = index_1 + DateOffset(hours=1)
@@ -496,7 +502,9 @@ def test_intersection_list(self):
         tm.assert_index_equal(res, idx)
 
     def test_month_range_union_tz_pytz(self, sort):
-        from pytz import timezone
+        from pytz import (
+            timezone,
+        )
 
         tz = timezone("US/Eastern")
 
@@ -513,7 +521,9 @@ def test_month_range_union_tz_pytz(self, sort):
 
     @td.skip_if_windows
     def test_month_range_union_tz_dateutil(self, sort):
-        from pandas._libs.tslibs.timezones import dateutil_gettz
+        from pandas._libs.tslibs.timezones import (
+            dateutil_gettz,
+        )
 
         tz = dateutil_gettz("US/Eastern")
 
diff --git a/pandas/tests/indexes/datetimes/test_timezones.py b/pandas/tests/indexes/datetimes/test_timezones.py
index 05700841de7e1..a25d05613b802 100644
--- a/pandas/tests/indexes/datetimes/test_timezones.py
+++ b/pandas/tests/indexes/datetimes/test_timezones.py
@@ -20,7 +20,9 @@
 import pytz
 
 try:
-    from zoneinfo import ZoneInfo
+    from zoneinfo import (
+        ZoneInfo,
+    )
 except ImportError:
     ZoneInfo = None
 
diff --git a/pandas/tests/indexes/interval/test_base.py b/pandas/tests/indexes/interval/test_base.py
index de9d8be21ae60..d3cf6b6597f11 100644
--- a/pandas/tests/indexes/interval/test_base.py
+++ b/pandas/tests/indexes/interval/test_base.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas import IntervalIndex
+from pandas import (
+    IntervalIndex,
+)
 import pandas._testing as tm
-from pandas.tests.indexes.common import Base
+from pandas.tests.indexes.common import (
+    Base,
+)
 
 
 class TestBase(Base):
diff --git a/pandas/tests/indexes/interval/test_constructors.py b/pandas/tests/indexes/interval/test_constructors.py
index b7511a72e31da..60223ff777246 100644
--- a/pandas/tests/indexes/interval/test_constructors.py
+++ b/pandas/tests/indexes/interval/test_constructors.py
@@ -1,10 +1,16 @@
-from functools import partial
+from functools import (
+    partial,
+)
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_categorical_dtype
-from pandas.core.dtypes.dtypes import IntervalDtype
+from pandas.core.dtypes.common import (
+    is_categorical_dtype,
+)
+from pandas.core.dtypes.dtypes import (
+    IntervalDtype,
+)
 
 from pandas import (
     Categorical,
@@ -18,7 +24,9 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import IntervalArray
+from pandas.core.arrays import (
+    IntervalArray,
+)
 import pandas.core.common as com
 
 
diff --git a/pandas/tests/indexes/interval/test_indexing.py b/pandas/tests/indexes/interval/test_indexing.py
index e7db8076efa2b..a38cfdaad82de 100644
--- a/pandas/tests/indexes/interval/test_indexing.py
+++ b/pandas/tests/indexes/interval/test_indexing.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 from pandas import (
     NA,
diff --git a/pandas/tests/indexes/interval/test_interval.py b/pandas/tests/indexes/interval/test_interval.py
index 49e8df2b71f22..c27e9e2900f5f 100644
--- a/pandas/tests/indexes/interval/test_interval.py
+++ b/pandas/tests/indexes/interval/test_interval.py
@@ -1,4 +1,6 @@
-from itertools import permutations
+from itertools import (
+    permutations,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/indexes/interval/test_interval_range.py b/pandas/tests/indexes/interval/test_interval_range.py
index 18b5af00c8d5d..9c5acc041b92d 100644
--- a/pandas/tests/indexes/interval/test_interval_range.py
+++ b/pandas/tests/indexes/interval/test_interval_range.py
@@ -1,9 +1,13 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_integer
+from pandas.core.dtypes.common import (
+    is_integer,
+)
 
 from pandas import (
     DateOffset,
@@ -17,7 +21,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries.offsets import Day
+from pandas.tseries.offsets import (
+    Day,
+)
 
 
 @pytest.fixture(params=[None, "foo"])
diff --git a/pandas/tests/indexes/interval/test_interval_tree.py b/pandas/tests/indexes/interval/test_interval_tree.py
index 45b25f2533afd..b1e18be3c49f9 100644
--- a/pandas/tests/indexes/interval/test_interval_tree.py
+++ b/pandas/tests/indexes/interval/test_interval_tree.py
@@ -1,10 +1,16 @@
-from itertools import permutations
+from itertools import (
+    permutations,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.interval import IntervalTree
-from pandas.compat import IS64
+from pandas._libs.interval import (
+    IntervalTree,
+)
+from pandas.compat import (
+    IS64,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/indexes/interval/test_pickle.py b/pandas/tests/indexes/interval/test_pickle.py
index 308a90e72eab5..bd0ab083e83b7 100644
--- a/pandas/tests/indexes/interval/test_pickle.py
+++ b/pandas/tests/indexes/interval/test_pickle.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import IntervalIndex
+from pandas import (
+    IntervalIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/multi/test_astype.py b/pandas/tests/indexes/multi/test_astype.py
index 29908537fbe59..b8228eec0b5a7 100644
--- a/pandas/tests/indexes/multi/test_astype.py
+++ b/pandas/tests/indexes/multi/test_astype.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/indexes/multi/test_compat.py b/pandas/tests/indexes/multi/test_compat.py
index 60608e0def7f5..f9ae0bc16ca0d 100644
--- a/pandas/tests/indexes/multi/test_compat.py
+++ b/pandas/tests/indexes/multi/test_compat.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/multi/test_constructors.py b/pandas/tests/indexes/multi/test_constructors.py
index cabc2bfd61db6..af4ba29fd6668 100644
--- a/pandas/tests/indexes/multi/test_constructors.py
+++ b/pandas/tests/indexes/multi/test_constructors.py
@@ -7,9 +7,13 @@
 import numpy as np
 import pytest
 
-from pandas.compat import pa_version_under7p0
+from pandas.compat import (
+    pa_version_under7p0,
+)
 
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.cast import (
+    construct_1d_object_array_from_listlike,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/multi/test_copy.py b/pandas/tests/indexes/multi/test_copy.py
index 2e09a580f9528..ebfa1a18a4df6 100644
--- a/pandas/tests/indexes/multi/test_copy.py
+++ b/pandas/tests/indexes/multi/test_copy.py
@@ -5,7 +5,9 @@
 
 import pytest
 
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/multi/test_drop.py b/pandas/tests/indexes/multi/test_drop.py
index 4bfba07332313..3ec962df5c8b9 100644
--- a/pandas/tests/indexes/multi/test_drop.py
+++ b/pandas/tests/indexes/multi/test_drop.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/multi/test_duplicates.py b/pandas/tests/indexes/multi/test_duplicates.py
index 6c31caac4b42d..d2a666e488312 100644
--- a/pandas/tests/indexes/multi/test_duplicates.py
+++ b/pandas/tests/indexes/multi/test_duplicates.py
@@ -1,9 +1,13 @@
-from itertools import product
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs import hashtable
+from pandas._libs import (
+    hashtable,
+)
 
 from pandas import (
     NA,
diff --git a/pandas/tests/indexes/multi/test_equivalence.py b/pandas/tests/indexes/multi/test_equivalence.py
index 9babbd5b8d56d..af1683aa59772 100644
--- a/pandas/tests/indexes/multi/test_equivalence.py
+++ b/pandas/tests/indexes/multi/test_equivalence.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_any_real_numeric_dtype
+from pandas.core.dtypes.common import (
+    is_any_real_numeric_dtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/multi/test_get_set.py b/pandas/tests/indexes/multi/test_get_set.py
index 70350f0df821b..8f71b11629a02 100644
--- a/pandas/tests/indexes/multi/test_get_set.py
+++ b/pandas/tests/indexes/multi/test_get_set.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas.compat import PY311
+from pandas.compat import (
+    PY311,
+)
 
-from pandas.core.dtypes.dtypes import DatetimeTZDtype
+from pandas.core.dtypes.dtypes import (
+    DatetimeTZDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/multi/test_indexing.py b/pandas/tests/indexes/multi/test_indexing.py
index 31c5ab333ecfa..a5e3bbdb8a1b9 100644
--- a/pandas/tests/indexes/multi/test_indexing.py
+++ b/pandas/tests/indexes/multi/test_indexing.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/indexes/multi/test_integrity.py b/pandas/tests/indexes/multi/test_integrity.py
index a650f7f81a19f..aa48591543257 100644
--- a/pandas/tests/indexes/multi/test_integrity.py
+++ b/pandas/tests/indexes/multi/test_integrity.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
+from pandas.core.dtypes.cast import (
+    construct_1d_object_array_from_listlike,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/multi/test_isin.py b/pandas/tests/indexes/multi/test_isin.py
index 2723e7e4db8eb..b09d749f5b7f2 100644
--- a/pandas/tests/indexes/multi/test_isin.py
+++ b/pandas/tests/indexes/multi/test_isin.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/multi/test_lexsort.py b/pandas/tests/indexes/multi/test_lexsort.py
index fc16a4197a3a4..77d9d8c0ea7af 100644
--- a/pandas/tests/indexes/multi/test_lexsort.py
+++ b/pandas/tests/indexes/multi/test_lexsort.py
@@ -1,4 +1,6 @@
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 
 
 class TestIsLexsorted:
diff --git a/pandas/tests/indexes/multi/test_missing.py b/pandas/tests/indexes/multi/test_missing.py
index 14ffc42fb4b59..4cb05761166ea 100644
--- a/pandas/tests/indexes/multi/test_missing.py
+++ b/pandas/tests/indexes/multi/test_missing.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas as pd
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/multi/test_names.py b/pandas/tests/indexes/multi/test_names.py
index 8ae643eb3626d..b32e8ab7f002a 100644
--- a/pandas/tests/indexes/multi/test_names.py
+++ b/pandas/tests/indexes/multi/test_names.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas as pd
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/multi/test_pickle.py b/pandas/tests/indexes/multi/test_pickle.py
index 1d8b721404421..a3bfd4164f596 100644
--- a/pandas/tests/indexes/multi/test_pickle.py
+++ b/pandas/tests/indexes/multi/test_pickle.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import MultiIndex
+from pandas import (
+    MultiIndex,
+)
 
 
 def test_pickle_compat_construction():
diff --git a/pandas/tests/indexes/multi/test_reshape.py b/pandas/tests/indexes/multi/test_reshape.py
index da9838d4a2ed3..e50541f7bd2bb 100644
--- a/pandas/tests/indexes/multi/test_reshape.py
+++ b/pandas/tests/indexes/multi/test_reshape.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/multi/test_sorting.py b/pandas/tests/indexes/multi/test_sorting.py
index 2746c12b120ef..cb21fdd1ee74c 100644
--- a/pandas/tests/indexes/multi/test_sorting.py
+++ b/pandas/tests/indexes/multi/test_sorting.py
@@ -17,7 +17,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.indexes.frozen import FrozenList
+from pandas.core.indexes.frozen import (
+    FrozenList,
+)
 
 
 def test_sortlevel(idx):
diff --git a/pandas/tests/indexes/numeric/test_indexing.py b/pandas/tests/indexes/numeric/test_indexing.py
index c99e912ce4c0f..8468ee893ef5a 100644
--- a/pandas/tests/indexes/numeric/test_indexing.py
+++ b/pandas/tests/indexes/numeric/test_indexing.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 from pandas import (
     NA,
@@ -11,7 +13,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.arrays import FloatingArray
+from pandas.core.arrays import (
+    FloatingArray,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/indexes/numeric/test_join.py b/pandas/tests/indexes/numeric/test_join.py
index 93ff6238b90ff..12c77828ee35e 100644
--- a/pandas/tests/indexes/numeric/test_join.py
+++ b/pandas/tests/indexes/numeric/test_join.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas._testing as tm
-from pandas.core.indexes.api import Index
+from pandas.core.indexes.api import (
+    Index,
+)
 
 
 class TestJoinInt64Index:
diff --git a/pandas/tests/indexes/numeric/test_numeric.py b/pandas/tests/indexes/numeric/test_numeric.py
index 284b7f782a3f2..9f83e50a6804a 100644
--- a/pandas/tests/indexes/numeric/test_numeric.py
+++ b/pandas/tests/indexes/numeric/test_numeric.py
@@ -7,7 +7,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.indexes.common import NumericBase
+from pandas.tests.indexes.common import (
+    NumericBase,
+)
 
 
 class TestFloatNumericIndex(NumericBase):
diff --git a/pandas/tests/indexes/object/test_indexing.py b/pandas/tests/indexes/object/test_indexing.py
index 87d3afc77d556..29a61b520e0fc 100644
--- a/pandas/tests/indexes/object/test_indexing.py
+++ b/pandas/tests/indexes/object/test_indexing.py
@@ -1,12 +1,18 @@
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.missing import is_matching_na
+from pandas._libs.missing import (
+    is_matching_na,
+)
 
 import pandas as pd
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/period/methods/test_is_full.py b/pandas/tests/indexes/period/methods/test_is_full.py
index 490f199a59ed7..2b260a5e94777 100644
--- a/pandas/tests/indexes/period/methods/test_is_full.py
+++ b/pandas/tests/indexes/period/methods/test_is_full.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import PeriodIndex
+from pandas import (
+    PeriodIndex,
+)
 
 
 def test_is_full():
diff --git a/pandas/tests/indexes/period/methods/test_to_timestamp.py b/pandas/tests/indexes/period/methods/test_to_timestamp.py
index 164ed3ec43996..9c5557fe1612c 100644
--- a/pandas/tests/indexes/period/methods/test_to_timestamp.py
+++ b/pandas/tests/indexes/period/methods/test_to_timestamp.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/period/test_constructors.py b/pandas/tests/indexes/period/test_constructors.py
index 60e50a757a271..f25557d90f915 100644
--- a/pandas/tests/indexes/period/test_constructors.py
+++ b/pandas/tests/indexes/period/test_constructors.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.period import IncompatibleFrequency
+from pandas._libs.tslibs.period import (
+    IncompatibleFrequency,
+)
 
-from pandas.core.dtypes.dtypes import PeriodDtype
+from pandas.core.dtypes.dtypes import (
+    PeriodDtype,
+)
 
 from pandas import (
     Index,
@@ -16,7 +20,9 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import PeriodArray
+from pandas.core.arrays import (
+    PeriodArray,
+)
 
 
 class TestPeriodIndex:
diff --git a/pandas/tests/indexes/period/test_freq_attr.py b/pandas/tests/indexes/period/test_freq_attr.py
index e1ecffa4982bd..1e69e848c6a8b 100644
--- a/pandas/tests/indexes/period/test_freq_attr.py
+++ b/pandas/tests/indexes/period/test_freq_attr.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.compat import PY311
+from pandas.compat import (
+    PY311,
+)
 
 from pandas import (
     offsets,
diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py
index b5b595d5cc8b5..8bb02c4dfc246 100644
--- a/pandas/tests/indexes/period/test_indexing.py
+++ b/pandas/tests/indexes/period/test_indexing.py
@@ -1,11 +1,17 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import period as libperiod
-from pandas.errors import InvalidIndexError
+from pandas._libs.tslibs import (
+    period as libperiod,
+)
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/period/test_join.py b/pandas/tests/indexes/period/test_join.py
index 27cba8676d22b..0756ce2ab20e3 100644
--- a/pandas/tests/indexes/period/test_join.py
+++ b/pandas/tests/indexes/period/test_join.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    IncompatibleFrequency,
+)
 
 from pandas import (
     Index,
diff --git a/pandas/tests/indexes/period/test_period.py b/pandas/tests/indexes/period/test_period.py
index e5c85edfaaffa..eed122304e052 100644
--- a/pandas/tests/indexes/period/test_period.py
+++ b/pandas/tests/indexes/period/test_period.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.period import IncompatibleFrequency
+from pandas._libs.tslibs.period import (
+    IncompatibleFrequency,
+)
 
 from pandas import (
     Index,
@@ -14,7 +16,9 @@
     period_range,
 )
 import pandas._testing as tm
-from pandas.tests.indexes.datetimelike import DatetimeLike
+from pandas.tests.indexes.datetimelike import (
+    DatetimeLike,
+)
 
 
 class TestPeriodIndex(DatetimeLike):
diff --git a/pandas/tests/indexes/period/test_pickle.py b/pandas/tests/indexes/period/test_pickle.py
index 82f906d1e361f..5c819aa5a81e6 100644
--- a/pandas/tests/indexes/period/test_pickle.py
+++ b/pandas/tests/indexes/period/test_pickle.py
@@ -8,7 +8,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 class TestPickle:
diff --git a/pandas/tests/indexes/period/test_searchsorted.py b/pandas/tests/indexes/period/test_searchsorted.py
index b9863d1bb019a..f3040211dc82c 100644
--- a/pandas/tests/indexes/period/test_searchsorted.py
+++ b/pandas/tests/indexes/period/test_searchsorted.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    IncompatibleFrequency,
+)
 
 from pandas import (
     NaT,
diff --git a/pandas/tests/indexes/ranges/test_constructors.py b/pandas/tests/indexes/ranges/test_constructors.py
index 5e6f16075ae63..701717a2ac058 100644
--- a/pandas/tests/indexes/ranges/test_constructors.py
+++ b/pandas/tests/indexes/ranges/test_constructors.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/ranges/test_join.py b/pandas/tests/indexes/ranges/test_join.py
index 958dd6aa9a563..e67c62e572a37 100644
--- a/pandas/tests/indexes/ranges/test_join.py
+++ b/pandas/tests/indexes/ranges/test_join.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas.core.dtypes.common import is_int64_dtype
+from pandas.core.dtypes.common import (
+    is_int64_dtype,
+)
 
 from pandas import (
     Index,
diff --git a/pandas/tests/indexes/ranges/test_range.py b/pandas/tests/indexes/ranges/test_range.py
index 4edec0bf95982..fe3803183ba7a 100644
--- a/pandas/tests/indexes/ranges/test_range.py
+++ b/pandas/tests/indexes/ranges/test_range.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import ensure_platform_int
+from pandas.core.dtypes.common import (
+    ensure_platform_int,
+)
 
 import pandas as pd
 from pandas import (
@@ -9,7 +11,9 @@
     RangeIndex,
 )
 import pandas._testing as tm
-from pandas.tests.indexes.common import NumericBase
+from pandas.tests.indexes.common import (
+    NumericBase,
+)
 
 # aliases to make some tests easier to read
 RI = RangeIndex
diff --git a/pandas/tests/indexes/test_any_index.py b/pandas/tests/indexes/test_any_index.py
index 3b3d6dbaf697f..4c6412b4fb6a9 100644
--- a/pandas/tests/indexes/test_any_index.py
+++ b/pandas/tests/indexes/test_any_index.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/indexes/test_base.py b/pandas/tests/indexes/test_base.py
index 6dbe61decfc73..e377df0f36da7 100644
--- a/pandas/tests/indexes/test_base.py
+++ b/pandas/tests/indexes/test_base.py
@@ -1,6 +1,12 @@
-from collections import defaultdict
-from datetime import datetime
-from io import StringIO
+from collections import (
+    defaultdict,
+)
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
 import math
 import operator
 import re
@@ -8,9 +14,15 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
-from pandas.errors import InvalidIndexError
-from pandas.util._test_decorators import async_mark
+from pandas.compat import (
+    IS64,
+)
+from pandas.errors import (
+    InvalidIndexError,
+)
+from pandas.util._test_decorators import (
+    async_mark,
+)
 
 from pandas.core.dtypes.common import (
     is_any_real_numeric_dtype,
@@ -39,7 +51,9 @@
     ensure_index,
     ensure_index_from_sequences,
 )
-from pandas.tests.indexes.common import Base
+from pandas.tests.indexes.common import (
+    Base,
+)
 
 
 class TestIndex(Base):
@@ -1217,7 +1231,9 @@ def test_cached_properties_not_settable(self):
     async def test_tab_complete_warning(self, ip):
         # https://github.com/pandas-dev/pandas/issues/16409
         pytest.importorskip("IPython", minversion="6.0.0")
-        from IPython.core.completer import provisionalcompleter
+        from IPython.core.completer import (
+            provisionalcompleter,
+        )
 
         code = "import pandas as pd; idx = pd.Index([1, 2])"
         await ip.run_code(code)
diff --git a/pandas/tests/indexes/test_common.py b/pandas/tests/indexes/test_common.py
index 83b32bb1230c2..7a6eb9fd06031 100644
--- a/pandas/tests/indexes/test_common.py
+++ b/pandas/tests/indexes/test_common.py
@@ -12,7 +12,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 
 from pandas.core.dtypes.common import (
     is_integer_dtype,
diff --git a/pandas/tests/indexes/test_engines.py b/pandas/tests/indexes/test_engines.py
index 468c2240c8192..b0ea92a70f01e 100644
--- a/pandas/tests/indexes/test_engines.py
+++ b/pandas/tests/indexes/test_engines.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs import index as libindex
+from pandas._libs import (
+    index as libindex,
+)
 
 import pandas as pd
 
diff --git a/pandas/tests/indexes/test_frozen.py b/pandas/tests/indexes/test_frozen.py
index ace66b5b06a51..260665e71199f 100644
--- a/pandas/tests/indexes/test_frozen.py
+++ b/pandas/tests/indexes/test_frozen.py
@@ -2,7 +2,9 @@
 
 import pytest
 
-from pandas.core.indexes.frozen import FrozenList
+from pandas.core.indexes.frozen import (
+    FrozenList,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/indexes/test_index_new.py b/pandas/tests/indexes/test_index_new.py
index 564d3abc4f1fe..c70cd20735bf1 100644
--- a/pandas/tests/indexes/test_index_new.py
+++ b/pandas/tests/indexes/test_index_new.py
@@ -5,7 +5,9 @@
     datetime,
     timedelta,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/test_indexing.py b/pandas/tests/indexes/test_indexing.py
index 52f09ac25873e..fe6e2037e04d5 100644
--- a/pandas/tests/indexes/test_indexing.py
+++ b/pandas/tests/indexes/test_indexing.py
@@ -17,9 +17,13 @@
 import numpy as np
 import pytest
 
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 
-from pandas.core.dtypes.common import is_float_dtype
+from pandas.core.dtypes.common import (
+    is_float_dtype,
+)
 
 from pandas import (
     NA,
diff --git a/pandas/tests/indexes/test_numpy_compat.py b/pandas/tests/indexes/test_numpy_compat.py
index 07ebe6fa04beb..7a9fa88748dd9 100644
--- a/pandas/tests/indexes/test_numpy_compat.py
+++ b/pandas/tests/indexes/test_numpy_compat.py
@@ -14,8 +14,12 @@
     is_complex_dtype,
     is_numeric_dtype,
 )
-from pandas.core.arrays import BooleanArray
-from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin
+from pandas.core.arrays import (
+    BooleanArray,
+)
+from pandas.core.indexes.datetimelike import (
+    DatetimeIndexOpsMixin,
+)
 
 
 def test_numpy_ufuncs_out(index):
diff --git a/pandas/tests/indexes/test_setops.py b/pandas/tests/indexes/test_setops.py
index 1be4a1835de09..d33b82c9d84ec 100644
--- a/pandas/tests/indexes/test_setops.py
+++ b/pandas/tests/indexes/test_setops.py
@@ -2,13 +2,17 @@
 The tests in this package are to ensure the proper resultant dtypes of
 set operations.
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import operator
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.cast import find_common_type
+from pandas.core.dtypes.cast import (
+    find_common_type,
+)
 
 from pandas import (
     CategoricalIndex,
diff --git a/pandas/tests/indexes/timedeltas/methods/test_astype.py b/pandas/tests/indexes/timedeltas/methods/test_astype.py
index 9b17a8af59ac5..df620b910f6e2 100644
--- a/pandas/tests/indexes/timedeltas/methods/test_astype.py
+++ b/pandas/tests/indexes/timedeltas/methods/test_astype.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/timedeltas/methods/test_insert.py b/pandas/tests/indexes/timedeltas/methods/test_insert.py
index f8164102815f6..f2b29b675e431 100644
--- a/pandas/tests/indexes/timedeltas/methods/test_insert.py
+++ b/pandas/tests/indexes/timedeltas/methods/test_insert.py
@@ -1,9 +1,13 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexes/timedeltas/methods/test_shift.py b/pandas/tests/indexes/timedeltas/methods/test_shift.py
index f49af73f9f499..14b0baba0404c 100644
--- a/pandas/tests/indexes/timedeltas/methods/test_shift.py
+++ b/pandas/tests/indexes/timedeltas/methods/test_shift.py
@@ -1,9 +1,13 @@
 import pytest
 
-from pandas.errors import NullFrequencyError
+from pandas.errors import (
+    NullFrequencyError,
+)
 
 import pandas as pd
-from pandas import TimedeltaIndex
+from pandas import (
+    TimedeltaIndex,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/timedeltas/test_constructors.py b/pandas/tests/indexes/timedeltas/test_constructors.py
index 4e817ee708614..06c624f614423 100644
--- a/pandas/tests/indexes/timedeltas/test_constructors.py
+++ b/pandas/tests/indexes/timedeltas/test_constructors.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexes/timedeltas/test_freq_attr.py b/pandas/tests/indexes/timedeltas/test_freq_attr.py
index 39b9c11aa833c..953d497c27ca7 100644
--- a/pandas/tests/indexes/timedeltas/test_freq_attr.py
+++ b/pandas/tests/indexes/timedeltas/test_freq_attr.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import TimedeltaIndex
+from pandas import (
+    TimedeltaIndex,
+)
 
 from pandas.tseries.offsets import (
     DateOffset,
diff --git a/pandas/tests/indexes/timedeltas/test_indexing.py b/pandas/tests/indexes/timedeltas/test_indexing.py
index 2d2711520d44f..c354963c3a772 100644
--- a/pandas/tests/indexes/timedeltas/test_indexing.py
+++ b/pandas/tests/indexes/timedeltas/test_indexing.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/indexes/timedeltas/test_pickle.py b/pandas/tests/indexes/timedeltas/test_pickle.py
index befe709728bdd..ea232356aaa09 100644
--- a/pandas/tests/indexes/timedeltas/test_pickle.py
+++ b/pandas/tests/indexes/timedeltas/test_pickle.py
@@ -1,4 +1,6 @@
-from pandas import timedelta_range
+from pandas import (
+    timedelta_range,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/indexes/timedeltas/test_scalar_compat.py b/pandas/tests/indexes/timedeltas/test_scalar_compat.py
index 9f470b40d1f58..802453248bfb8 100644
--- a/pandas/tests/indexes/timedeltas/test_scalar_compat.py
+++ b/pandas/tests/indexes/timedeltas/test_scalar_compat.py
@@ -5,7 +5,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.offsets import (
+    INVALID_FREQ_ERR_MSG,
+)
 
 from pandas import (
     Index,
diff --git a/pandas/tests/indexes/timedeltas/test_setops.py b/pandas/tests/indexes/timedeltas/test_setops.py
index cb6dce1e7ad80..1d4d171b90971 100644
--- a/pandas/tests/indexes/timedeltas/test_setops.py
+++ b/pandas/tests/indexes/timedeltas/test_setops.py
@@ -9,7 +9,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries.offsets import Hour
+from pandas.tseries.offsets import (
+    Hour,
+)
 
 
 class TestTimedeltaIndex:
diff --git a/pandas/tests/indexes/timedeltas/test_timedelta.py b/pandas/tests/indexes/timedeltas/test_timedelta.py
index 1170fd6a053d9..1c3ff89d7e0fe 100644
--- a/pandas/tests/indexes/timedeltas/test_timedelta.py
+++ b/pandas/tests/indexes/timedeltas/test_timedelta.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
@@ -13,8 +15,12 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import TimedeltaArray
-from pandas.tests.indexes.datetimelike import DatetimeLike
+from pandas.core.arrays import (
+    TimedeltaArray,
+)
+from pandas.tests.indexes.datetimelike import (
+    DatetimeLike,
+)
 
 randn = np.random.randn
 
diff --git a/pandas/tests/indexing/common.py b/pandas/tests/indexing/common.py
index 2af76f69a4300..99421c0779cf8 100644
--- a/pandas/tests/indexing/common.py
+++ b/pandas/tests/indexing/common.py
@@ -1,5 +1,7 @@
 """ common utilities """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Any,
diff --git a/pandas/tests/indexing/interval/test_interval_new.py b/pandas/tests/indexing/interval/test_interval_new.py
index 62f44a363f5f0..3dce22b299711 100644
--- a/pandas/tests/indexing/interval/test_interval_new.py
+++ b/pandas/tests/indexing/interval/test_interval_new.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 
 from pandas import (
     Index,
diff --git a/pandas/tests/indexing/multiindex/test_chaining_and_caching.py b/pandas/tests/indexing/multiindex/test_chaining_and_caching.py
index 932457eebcd8e..e30f42936aa92 100644
--- a/pandas/tests/indexing/multiindex/test_chaining_and_caching.py
+++ b/pandas/tests/indexing/multiindex/test_chaining_and_caching.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import SettingWithCopyError
+from pandas.errors import (
+    SettingWithCopyError,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/indexing/multiindex/test_datetime.py b/pandas/tests/indexing/multiindex/test_datetime.py
index a49cb0bc2c43e..15fd9562f8f87 100644
--- a/pandas/tests/indexing/multiindex/test_datetime.py
+++ b/pandas/tests/indexing/multiindex/test_datetime.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
diff --git a/pandas/tests/indexing/multiindex/test_getitem.py b/pandas/tests/indexing/multiindex/test_getitem.py
index f8ce59527d4fc..a7569f33ab47a 100644
--- a/pandas/tests/indexing/multiindex/test_getitem.py
+++ b/pandas/tests/indexing/multiindex/test_getitem.py
@@ -8,7 +8,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.indexing import IndexingError
+from pandas.core.indexing import (
+    IndexingError,
+)
 
 # ----------------------------------------------------------------------------
 # test indexing of Series with multi-level Index
diff --git a/pandas/tests/indexing/multiindex/test_multiindex.py b/pandas/tests/indexing/multiindex/test_multiindex.py
index 8e507212976ec..89a9888f6597e 100644
--- a/pandas/tests/indexing/multiindex/test_multiindex.py
+++ b/pandas/tests/indexing/multiindex/test_multiindex.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas._libs.index as _index
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/indexing/multiindex/test_setitem.py b/pandas/tests/indexing/multiindex/test_setitem.py
index c890754d2d433..ebf53b776ced3 100644
--- a/pandas/tests/indexing/multiindex/test_setitem.py
+++ b/pandas/tests/indexing/multiindex/test_setitem.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import SettingWithCopyError
+from pandas.errors import (
+    SettingWithCopyError,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/indexing/multiindex/test_slice.py b/pandas/tests/indexing/multiindex/test_slice.py
index 6a78b2243f07e..63aa8d9905e08 100644
--- a/pandas/tests/indexing/multiindex/test_slice.py
+++ b/pandas/tests/indexing/multiindex/test_slice.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import UnsortedIndexError
+from pandas.errors import (
+    UnsortedIndexError,
+)
 
 import pandas as pd
 from pandas import (
@@ -17,7 +19,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.tests.indexing.common import _mklbl
+from pandas.tests.indexing.common import (
+    _mklbl,
+)
 
 
 class TestMultiIndexSlicers:
diff --git a/pandas/tests/indexing/test_at.py b/pandas/tests/indexing/test_at.py
index 9df6cb640257e..b7cc7de5286a0 100644
--- a/pandas/tests/indexing/test_at.py
+++ b/pandas/tests/indexing/test_at.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 from pandas import (
     CategoricalDtype,
diff --git a/pandas/tests/indexing/test_categorical.py b/pandas/tests/indexing/test_categorical.py
index 747e7972aacf1..686ecdb1bfd94 100644
--- a/pandas/tests/indexing/test_categorical.py
+++ b/pandas/tests/indexing/test_categorical.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_categorical_dtype
+from pandas.core.dtypes.common import (
+    is_categorical_dtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -17,7 +19,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype as CDT
+from pandas.api.types import (
+    CategoricalDtype as CDT,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/indexing/test_chaining_and_caching.py b/pandas/tests/indexing/test_chaining_and_caching.py
index 12d7d04353d6f..87a79d753d627 100644
--- a/pandas/tests/indexing/test_chaining_and_caching.py
+++ b/pandas/tests/indexing/test_chaining_and_caching.py
@@ -1,4 +1,6 @@
-from string import ascii_letters as letters
+from string import (
+    ascii_letters as letters,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/indexing/test_check_indexer.py b/pandas/tests/indexing/test_check_indexer.py
index 975a31b873792..352507ac4b2d3 100644
--- a/pandas/tests/indexing/test_check_indexer.py
+++ b/pandas/tests/indexing/test_check_indexer.py
@@ -3,7 +3,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.api.indexers import check_array_indexer
+from pandas.api.indexers import (
+    check_array_indexer,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/indexing/test_coercion.py b/pandas/tests/indexing/test_coercion.py
index 86d6246437ea1..cdffa22126e52 100644
--- a/pandas/tests/indexing/test_coercion.py
+++ b/pandas/tests/indexing/test_coercion.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
diff --git a/pandas/tests/indexing/test_iloc.py b/pandas/tests/indexing/test_iloc.py
index 86510c7be257b..7fb09d30032b6 100644
--- a/pandas/tests/indexing/test_iloc.py
+++ b/pandas/tests/indexing/test_iloc.py
@@ -1,6 +1,8 @@
 """ test positional based indexing with iloc """
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 from warnings import (
     catch_warnings,
@@ -10,7 +12,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import IndexingError
+from pandas.errors import (
+    IndexingError,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -31,8 +35,12 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.api.types import is_scalar
-from pandas.tests.indexing.common import check_indexing_smoketest_or_raises
+from pandas.api.types import (
+    is_scalar,
+)
+from pandas.tests.indexing.common import (
+    check_indexing_smoketest_or_raises,
+)
 
 # We pass through the error message from numpy
 _slice_iloc_msg = re.escape(
diff --git a/pandas/tests/indexing/test_indexing.py b/pandas/tests/indexing/test_indexing.py
index 3d45b238017ca..5f3defec89561 100644
--- a/pandas/tests/indexing/test_indexing.py
+++ b/pandas/tests/indexing/test_indexing.py
@@ -1,14 +1,18 @@
 """ test fancy indexing & misc """
 
 import array
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 import weakref
 
 import numpy as np
 import pytest
 
-from pandas.errors import IndexingError
+from pandas.errors import (
+    IndexingError,
+)
 
 from pandas.core.dtypes.common import (
     is_float_dtype,
@@ -27,8 +31,12 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.tests.indexing.common import _mklbl
-from pandas.tests.indexing.test_floats import gen_obj
+from pandas.tests.indexing.common import (
+    _mklbl,
+)
+from pandas.tests.indexing.test_floats import (
+    gen_obj,
+)
 
 # ------------------------------------------------------------------------
 # Indexing test cases
diff --git a/pandas/tests/indexing/test_loc.py b/pandas/tests/indexing/test_loc.py
index bbea179843f3a..1262406e605ad 100644
--- a/pandas/tests/indexing/test_loc.py
+++ b/pandas/tests/indexing/test_loc.py
@@ -1,5 +1,7 @@
 """ test label based indexing with loc """
-from collections import namedtuple
+from collections import (
+    namedtuple,
+)
 from datetime import (
     date,
     datetime,
@@ -8,11 +10,15 @@
 )
 import re
 
-from dateutil.tz import gettz
+from dateutil.tz import (
+    gettz,
+)
 import numpy as np
 import pytest
 
-from pandas.errors import IndexingError
+from pandas.errors import (
+    IndexingError,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -41,8 +47,12 @@
     is_bool_dtype,
     is_scalar,
 )
-from pandas.core.indexing import _one_ellipsis_message
-from pandas.tests.indexing.common import check_indexing_smoketest_or_raises
+from pandas.core.indexing import (
+    _one_ellipsis_message,
+)
+from pandas.tests.indexing.common import (
+    check_indexing_smoketest_or_raises,
+)
 
 
 @pytest.mark.parametrize(
@@ -1304,7 +1314,9 @@ def test_loc_getitem_listlike_all_retains_sparse(self):
     @td.skip_if_no_scipy
     def test_loc_getitem_sparse_frame(self):
         # GH34687
-        from scipy.sparse import eye
+        from scipy.sparse import (
+            eye,
+        )
 
         df = DataFrame.sparse.from_spmatrix(eye(5))
         result = df.loc[range(2)]
diff --git a/pandas/tests/interchange/test_impl.py b/pandas/tests/interchange/test_impl.py
index 078a17510d502..1f835269299f3 100644
--- a/pandas/tests/interchange/test_impl.py
+++ b/pandas/tests/interchange/test_impl.py
@@ -1,20 +1,28 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import random
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import iNaT
+from pandas._libs.tslibs import (
+    iNaT,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.interchange.column import PandasColumn
+from pandas.core.interchange.column import (
+    PandasColumn,
+)
 from pandas.core.interchange.dataframe_protocol import (
     ColumnNullType,
     DtypeKind,
 )
-from pandas.core.interchange.from_dataframe import from_dataframe
+from pandas.core.interchange.from_dataframe import (
+    from_dataframe,
+)
 
 test_data_categorical = {
     "ordered": pd.Categorical(list("testdata") * 30, ordered=True),
diff --git a/pandas/tests/interchange/test_utils.py b/pandas/tests/interchange/test_utils.py
index 4fd42abb7f3f1..ba3f35da8a49a 100644
--- a/pandas/tests/interchange/test_utils.py
+++ b/pandas/tests/interchange/test_utils.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas as pd
-from pandas.core.interchange.utils import dtype_to_arrow_c_fmt
+from pandas.core.interchange.utils import (
+    dtype_to_arrow_c_fmt,
+)
 
 # TODO: use ArrowSchema to get reference C-string.
 # At the time, there is no way to access ArrowSchema holding a type format string
diff --git a/pandas/tests/internals/test_api.py b/pandas/tests/internals/test_api.py
index c759cc163106d..5ab74384f7980 100644
--- a/pandas/tests/internals/test_api.py
+++ b/pandas/tests/internals/test_api.py
@@ -4,8 +4,12 @@
 """
 
 import pandas as pd
-from pandas.core import internals
-from pandas.core.internals import api
+from pandas.core import (
+    internals,
+)
+from pandas.core.internals import (
+    api,
+)
 
 
 def test_internals_api():
diff --git a/pandas/tests/internals/test_internals.py b/pandas/tests/internals/test_internals.py
index 964a4c4982481..86cdd2becd0e5 100644
--- a/pandas/tests/internals/test_internals.py
+++ b/pandas/tests/internals/test_internals.py
@@ -8,11 +8,17 @@
 import numpy as np
 import pytest
 
-from pandas._libs.internals import BlockPlacement
-from pandas.compat import IS64
+from pandas._libs.internals import (
+    BlockPlacement,
+)
+from pandas.compat import (
+    IS64,
+)
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_scalar
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/internals/test_managers.py b/pandas/tests/internals/test_managers.py
index 75aa901fce910..cf43885e56b0c 100644
--- a/pandas/tests/internals/test_managers.py
+++ b/pandas/tests/internals/test_managers.py
@@ -1,7 +1,9 @@
 """
 Testing interaction between the different managers (BlockManager, ArrayManager)
 """
-from pandas.core.dtypes.missing import array_equivalent
+from pandas.core.dtypes.missing import (
+    array_equivalent,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/io/conftest.py b/pandas/tests/io/conftest.py
index b863e85cae457..5fc410bf3455d 100644
--- a/pandas/tests/io/conftest.py
+++ b/pandas/tests/io/conftest.py
@@ -15,7 +15,9 @@
 
 import pandas._testing as tm
 
-from pandas.io.parsers import read_csv
+from pandas.io.parsers import (
+    read_csv,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/excel/conftest.py b/pandas/tests/io/excel/conftest.py
index 15ff52d5bea48..97f83f5573814 100644
--- a/pandas/tests/io/excel/conftest.py
+++ b/pandas/tests/io/excel/conftest.py
@@ -2,7 +2,9 @@
 
 import pandas._testing as tm
 
-from pandas.io.parsers import read_csv
+from pandas.io.parsers import (
+    read_csv,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/excel/test_odswriter.py b/pandas/tests/io/excel/test_odswriter.py
index 21d31ec8a7fb5..0522eff48de5e 100644
--- a/pandas/tests/io/excel/test_odswriter.py
+++ b/pandas/tests/io/excel/test_odswriter.py
@@ -4,7 +4,9 @@
 
 import pandas._testing as tm
 
-from pandas.io.excel import ExcelWriter
+from pandas.io.excel import (
+    ExcelWriter,
+)
 
 odf = pytest.importorskip("odf")
 
diff --git a/pandas/tests/io/excel/test_openpyxl.py b/pandas/tests/io/excel/test_openpyxl.py
index d28296ec2e380..162215a5fe59b 100644
--- a/pandas/tests/io/excel/test_openpyxl.py
+++ b/pandas/tests/io/excel/test_openpyxl.py
@@ -1,12 +1,16 @@
 import contextlib
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import re
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 from pandas.io.excel import (
@@ -20,7 +24,9 @@
 
 
 def test_to_excel_styleconverter(ext):
-    from openpyxl import styles
+    from openpyxl import (
+        styles,
+    )
 
     hstyle = {
         "font": {"color": "00FF0000", "bold": True},
@@ -53,7 +59,9 @@ def test_to_excel_styleconverter(ext):
 
 
 def test_write_cells_merge_styled(ext):
-    from pandas.io.formats.excel import ExcelCell
+    from pandas.io.formats.excel import (
+        ExcelCell,
+    )
 
     sheet_name = "merge_styled"
 
diff --git a/pandas/tests/io/excel/test_readers.py b/pandas/tests/io/excel/test_readers.py
index 66e55fe86d964..a982f11eb97a4 100644
--- a/pandas/tests/io/excel/test_readers.py
+++ b/pandas/tests/io/excel/test_readers.py
@@ -2,12 +2,20 @@
     datetime,
     time,
 )
-from functools import partial
+from functools import (
+    partial,
+)
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import platform
-from urllib.error import URLError
-from zipfile import BadZipFile
+from urllib.error import (
+    URLError,
+)
+from zipfile import (
+    BadZipFile,
+)
 
 import numpy as np
 import pytest
@@ -568,7 +576,9 @@ def test_use_nullable_dtypes(self, read_ext, dtype_backend, option):
         if dtype_backend == "pyarrow":
             import pyarrow as pa
 
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             expected = DataFrame(
                 {
@@ -824,7 +834,9 @@ def test_corrupt_bytes_raises(self, engine):
                 "specify an engine manually."
             )
         elif engine == "xlrd":
-            from xlrd import XLRDError
+            from xlrd import (
+                XLRDError,
+            )
 
             error = XLRDError
             msg = (
@@ -912,7 +924,9 @@ def test_read_from_pathlib_path(self, read_ext):
     @td.skip_if_no("py.path")
     def test_read_from_py_localpath(self, read_ext):
         # GH12655
-        from py.path import local as LocalPath
+        from py.path import (
+            local as LocalPath,
+        )
 
         str_path = os.path.join("test1" + read_ext)
         expected = pd.read_excel(str_path, sheet_name="Sheet1", index_col=0)
diff --git a/pandas/tests/io/excel/test_style.py b/pandas/tests/io/excel/test_style.py
index b26d59b9bdebb..e8fc72770d370 100644
--- a/pandas/tests/io/excel/test_style.py
+++ b/pandas/tests/io/excel/test_style.py
@@ -12,8 +12,12 @@
 )
 import pandas._testing as tm
 
-from pandas.io.excel import ExcelWriter
-from pandas.io.formats.excel import ExcelFormatter
+from pandas.io.excel import (
+    ExcelWriter,
+)
+from pandas.io.formats.excel import (
+    ExcelFormatter,
+)
 
 pytest.importorskip("jinja2")
 # jinja2 is currently required for Styler.__init__(). Technically Styler.to_excel
diff --git a/pandas/tests/io/excel/test_writers.py b/pandas/tests/io/excel/test_writers.py
index 9a8e4eff5470a..ea4ce5a8dc7bd 100644
--- a/pandas/tests/io/excel/test_writers.py
+++ b/pandas/tests/io/excel/test_writers.py
@@ -3,8 +3,12 @@
     datetime,
     timedelta,
 )
-from functools import partial
-from io import BytesIO
+from functools import (
+    partial,
+)
+from io import (
+    BytesIO,
+)
 import os
 import re
 
@@ -29,7 +33,9 @@
     _XlsxWriter,
     register_writer,
 )
-from pandas.io.excel._util import _writers
+from pandas.io.excel._util import (
+    _writers,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/excel/test_xlrd.py b/pandas/tests/io/excel/test_xlrd.py
index 1f8fb4b801356..45ee5ce656d1e 100644
--- a/pandas/tests/io/excel/test_xlrd.py
+++ b/pandas/tests/io/excel/test_xlrd.py
@@ -5,8 +5,12 @@
 import pandas as pd
 import pandas._testing as tm
 
-from pandas.io.excel import ExcelFile
-from pandas.io.excel._base import inspect_excel_format
+from pandas.io.excel import (
+    ExcelFile,
+)
+from pandas.io.excel._base import (
+    inspect_excel_format,
+)
 
 xlrd = pytest.importorskip("xlrd")
 
@@ -39,7 +43,9 @@ def test_read_xlrd_book(read_ext_xlrd, datapath):
 
 def test_read_xlsx_fails(datapath):
     # GH 29375
-    from xlrd.biffh import XLRDError
+    from xlrd.biffh import (
+        XLRDError,
+    )
 
     path = datapath("io", "data", "excel", "test1.xlsx")
     with pytest.raises(XLRDError, match="Excel xlsx file; not supported"):
diff --git a/pandas/tests/io/excel/test_xlsxwriter.py b/pandas/tests/io/excel/test_xlsxwriter.py
index c4d02d71390cc..eef084cda7cc2 100644
--- a/pandas/tests/io/excel/test_xlsxwriter.py
+++ b/pandas/tests/io/excel/test_xlsxwriter.py
@@ -2,10 +2,14 @@
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
-from pandas.io.excel import ExcelWriter
+from pandas.io.excel import (
+    ExcelWriter,
+)
 
 xlsxwriter = pytest.importorskip("xlsxwriter")
 
diff --git a/pandas/tests/io/formats/style/test_bar.py b/pandas/tests/io/formats/style/test_bar.py
index 19884aaac86a7..0f4cefd908933 100644
--- a/pandas/tests/io/formats/style/test_bar.py
+++ b/pandas/tests/io/formats/style/test_bar.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 pytest.importorskip("jinja2")
 
diff --git a/pandas/tests/io/formats/style/test_exceptions.py b/pandas/tests/io/formats/style/test_exceptions.py
index d52e3a37e7693..e56b3b526e396 100644
--- a/pandas/tests/io/formats/style/test_exceptions.py
+++ b/pandas/tests/io/formats/style/test_exceptions.py
@@ -7,7 +7,9 @@
     MultiIndex,
 )
 
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/formats/style/test_format.py b/pandas/tests/io/formats/style/test_format.py
index 0b114ea128b0b..b78e993c0ea0e 100644
--- a/pandas/tests/io/formats/style/test_format.py
+++ b/pandas/tests/io/formats/style/test_format.py
@@ -12,8 +12,12 @@
 )
 
 pytest.importorskip("jinja2")
-from pandas.io.formats.style import Styler
-from pandas.io.formats.style_render import _str_escape
+from pandas.io.formats.style import (
+    Styler,
+)
+from pandas.io.formats.style_render import (
+    _str_escape,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/formats/style/test_highlight.py b/pandas/tests/io/formats/style/test_highlight.py
index 3d59719010ee0..5a9406fd48412 100644
--- a/pandas/tests/io/formats/style/test_highlight.py
+++ b/pandas/tests/io/formats/style/test_highlight.py
@@ -9,7 +9,9 @@
 
 pytest.importorskip("jinja2")
 
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 
 @pytest.fixture(params=[(None, "float64"), (NA, "Int64")])
diff --git a/pandas/tests/io/formats/style/test_html.py b/pandas/tests/io/formats/style/test_html.py
index 1867260fbc4b4..e2b0ea4ee613e 100644
--- a/pandas/tests/io/formats/style/test_html.py
+++ b/pandas/tests/io/formats/style/test_html.py
@@ -13,7 +13,9 @@
 )
 
 jinja2 = pytest.importorskip("jinja2")
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 loader = jinja2.PackageLoader("pandas", "io/formats/templates")
 env = jinja2.Environment(loader=loader, trim_blocks=True)
diff --git a/pandas/tests/io/formats/style/test_matplotlib.py b/pandas/tests/io/formats/style/test_matplotlib.py
index 591fa7f72050e..cdd7bae9f1d3d 100644
--- a/pandas/tests/io/formats/style/test_matplotlib.py
+++ b/pandas/tests/io/formats/style/test_matplotlib.py
@@ -12,7 +12,9 @@
 
 import matplotlib as mpl
 
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/formats/style/test_non_unique.py b/pandas/tests/io/formats/style/test_non_unique.py
index b719bf3372038..78e694fe5e17e 100644
--- a/pandas/tests/io/formats/style/test_non_unique.py
+++ b/pandas/tests/io/formats/style/test_non_unique.py
@@ -1,4 +1,6 @@
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import pytest
 
@@ -9,7 +11,9 @@
 
 pytest.importorskip("jinja2")
 
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/formats/style/test_style.py b/pandas/tests/io/formats/style/test_style.py
index 0387f317c5c0d..22b77faa5c7fe 100644
--- a/pandas/tests/io/formats/style/test_style.py
+++ b/pandas/tests/io/formats/style/test_style.py
@@ -1,7 +1,9 @@
 import contextlib
 import copy
 import re
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/io/formats/style/test_to_latex.py b/pandas/tests/io/formats/style/test_to_latex.py
index 1c67d125664f8..555725789dd6f 100644
--- a/pandas/tests/io/formats/style/test_to_latex.py
+++ b/pandas/tests/io/formats/style/test_to_latex.py
@@ -1,4 +1,6 @@
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import numpy as np
 import pytest
@@ -10,7 +12,9 @@
 )
 
 pytest.importorskip("jinja2")
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 from pandas.io.formats.style_render import (
     _parse_latex_cell_styles,
     _parse_latex_css_conversion,
diff --git a/pandas/tests/io/formats/style/test_to_string.py b/pandas/tests/io/formats/style/test_to_string.py
index 913857396446c..756319bbe5074 100644
--- a/pandas/tests/io/formats/style/test_to_string.py
+++ b/pandas/tests/io/formats/style/test_to_string.py
@@ -1,11 +1,17 @@
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 pytest.importorskip("jinja2")
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/formats/style/test_tooltip.py b/pandas/tests/io/formats/style/test_tooltip.py
index c49a0e05c6700..1b9273d6ec9e9 100644
--- a/pandas/tests/io/formats/style/test_tooltip.py
+++ b/pandas/tests/io/formats/style/test_tooltip.py
@@ -1,10 +1,14 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 
 pytest.importorskip("jinja2")
-from pandas.io.formats.style import Styler
+from pandas.io.formats.style import (
+    Styler,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/formats/test_console.py b/pandas/tests/io/formats/test_console.py
index dd7b57df9baed..8d0cbdf45d4d1 100644
--- a/pandas/tests/io/formats/test_console.py
+++ b/pandas/tests/io/formats/test_console.py
@@ -2,7 +2,9 @@
 
 import pytest
 
-from pandas._config import detect_console_encoding
+from pandas._config import (
+    detect_console_encoding,
+)
 
 
 class MockEncoding:
diff --git a/pandas/tests/io/formats/test_css.py b/pandas/tests/io/formats/test_css.py
index db436d8283b99..e7b51e6828245 100644
--- a/pandas/tests/io/formats/test_css.py
+++ b/pandas/tests/io/formats/test_css.py
@@ -1,10 +1,14 @@
 import pytest
 
-from pandas.errors import CSSWarning
+from pandas.errors import (
+    CSSWarning,
+)
 
 import pandas._testing as tm
 
-from pandas.io.formats.css import CSSResolver
+from pandas.io.formats.css import (
+    CSSResolver,
+)
 
 
 def assert_resolves(css, props, inherited=None):
diff --git a/pandas/tests/io/formats/test_eng_formatting.py b/pandas/tests/io/formats/test_eng_formatting.py
index 2f18623559557..fb030fa674252 100644
--- a/pandas/tests/io/formats/test_eng_formatting.py
+++ b/pandas/tests/io/formats/test_eng_formatting.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 import pandas.io.formats.format as fmt
diff --git a/pandas/tests/io/formats/test_format.py b/pandas/tests/io/formats/test_format.py
index fccb053e73d4b..b85259ac78f37 100644
--- a/pandas/tests/io/formats/test_format.py
+++ b/pandas/tests/io/formats/test_format.py
@@ -1,19 +1,29 @@
 """
 Test output formatting for Series/DataFrame, including to_string & reprs
 """
-from contextlib import nullcontext
+from contextlib import (
+    nullcontext,
+)
 from datetime import (
     datetime,
     time,
     timedelta,
 )
-from io import StringIO
+from io import (
+    StringIO,
+)
 import itertools
 import locale
-from operator import methodcaller
-from pathlib import Path
+from operator import (
+    methodcaller,
+)
+from pathlib import (
+    Path,
+)
 import re
-from shutil import get_terminal_size
+from shutil import (
+    get_terminal_size,
+)
 import sys
 import textwrap
 
@@ -22,7 +32,9 @@
 import pytest
 import pytz
 
-from pandas._config import config
+from pandas._config import (
+    config,
+)
 
 from pandas.compat import (
     IS64,
@@ -45,7 +57,9 @@
 )
 import pandas._testing as tm
 
-from pandas.io.formats import printing
+from pandas.io.formats import (
+    printing,
+)
 import pandas.io.formats.format as fmt
 
 use_32bit_repr = is_platform_windows() or not IS64
diff --git a/pandas/tests/io/formats/test_info.py b/pandas/tests/io/formats/test_info.py
index 06c1aacc3eac0..0c36a8f041dba 100644
--- a/pandas/tests/io/formats/test_info.py
+++ b/pandas/tests/io/formats/test_info.py
@@ -1,6 +1,10 @@
-from io import StringIO
+from io import (
+    StringIO,
+)
 import re
-from string import ascii_uppercase as uppercase
+from string import (
+    ascii_uppercase as uppercase,
+)
 import sys
 import textwrap
 
diff --git a/pandas/tests/io/formats/test_printing.py b/pandas/tests/io/formats/test_printing.py
index 803ed8d342a2f..d169adb630e9d 100644
--- a/pandas/tests/io/formats/test_printing.py
+++ b/pandas/tests/io/formats/test_printing.py
@@ -6,7 +6,9 @@
 
 import pandas as pd
 
-from pandas.io.formats import printing
+from pandas.io.formats import (
+    printing,
+)
 import pandas.io.formats.format as fmt
 
 
diff --git a/pandas/tests/io/formats/test_series_info.py b/pandas/tests/io/formats/test_series_info.py
index 761dd07dbef51..ee0dbee846863 100644
--- a/pandas/tests/io/formats/test_series_info.py
+++ b/pandas/tests/io/formats/test_series_info.py
@@ -1,11 +1,17 @@
-from io import StringIO
-from string import ascii_uppercase as uppercase
+from io import (
+    StringIO,
+)
+from string import (
+    ascii_uppercase as uppercase,
+)
 import textwrap
 
 import numpy as np
 import pytest
 
-from pandas.compat import PYPY
+from pandas.compat import (
+    PYPY,
+)
 
 from pandas import (
     CategoricalIndex,
diff --git a/pandas/tests/io/formats/test_to_csv.py b/pandas/tests/io/formats/test_to_csv.py
index 4e47e4197c710..a2113dbf96e04 100644
--- a/pandas/tests/io/formats/test_to_csv.py
+++ b/pandas/tests/io/formats/test_to_csv.py
@@ -1,9 +1,13 @@
 import io
 import os
 import sys
-from zipfile import ZipFile
+from zipfile import (
+    ZipFile,
+)
 
-from _csv import Error
+from _csv import (
+    Error,
+)
 import numpy as np
 import pytest
 
@@ -13,7 +17,9 @@
     compat,
 )
 import pandas._testing as tm
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
 
 class TestToCSV:
diff --git a/pandas/tests/io/formats/test_to_excel.py b/pandas/tests/io/formats/test_to_excel.py
index 2a0f9f59972ef..b78cb15fe109e 100644
--- a/pandas/tests/io/formats/test_to_excel.py
+++ b/pandas/tests/io/formats/test_to_excel.py
@@ -6,7 +6,9 @@
 
 import pytest
 
-from pandas.errors import CSSWarning
+from pandas.errors import (
+    CSSWarning,
+)
 import pandas.util._test_decorators as td
 
 import pandas._testing as tm
@@ -338,7 +340,9 @@ def tests_css_named_colors_valid():
 
 @td.skip_if_no_mpl
 def test_css_named_colors_from_mpl_present():
-    from matplotlib.colors import CSS4_COLORS as mpl_colors
+    from matplotlib.colors import (
+        CSS4_COLORS as mpl_colors,
+    )
 
     pd_colors = CSSToExcelConverter.NAMED_COLORS
     for name, color in mpl_colors.items():
diff --git a/pandas/tests/io/formats/test_to_html.py b/pandas/tests/io/formats/test_to_html.py
index a66858d3f983e..0c0453f58216c 100644
--- a/pandas/tests/io/formats/test_to_html.py
+++ b/pandas/tests/io/formats/test_to_html.py
@@ -1,5 +1,9 @@
-from datetime import datetime
-from io import StringIO
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/io/formats/test_to_latex.py b/pandas/tests/io/formats/test_to_latex.py
index 8c66963bbb438..b54eba1b37467 100644
--- a/pandas/tests/io/formats/test_to_latex.py
+++ b/pandas/tests/io/formats/test_to_latex.py
@@ -1,6 +1,10 @@
 import codecs
-from datetime import datetime
-from textwrap import dedent
+from datetime import (
+    datetime,
+)
+from textwrap import (
+    dedent,
+)
 
 import pytest
 
@@ -11,7 +15,9 @@
 )
 import pandas._testing as tm
 
-from pandas.io.formats.format import DataFrameFormatter
+from pandas.io.formats.format import (
+    DataFrameFormatter,
+)
 from pandas.io.formats.latex import (
     RegularTableBuilder,
     RowBodyIterator,
diff --git a/pandas/tests/io/formats/test_to_markdown.py b/pandas/tests/io/formats/test_to_markdown.py
index 437f079c5f2f9..ae3022a5c5d19 100644
--- a/pandas/tests/io/formats/test_to_markdown.py
+++ b/pandas/tests/io/formats/test_to_markdown.py
@@ -1,4 +1,6 @@
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
diff --git a/pandas/tests/io/formats/test_to_string.py b/pandas/tests/io/formats/test_to_string.py
index 31ba018a178ca..6ea61ffa9d770 100644
--- a/pandas/tests/io/formats/test_to_string.py
+++ b/pandas/tests/io/formats/test_to_string.py
@@ -1,6 +1,12 @@
-from datetime import datetime
-from io import StringIO
-from textwrap import dedent
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
+from textwrap import (
+    dedent,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/io/generate_legacy_storage_files.py b/pandas/tests/io/generate_legacy_storage_files.py
index 974a2174cb03b..82e9dcbd41aa8 100644
--- a/pandas/tests/io/generate_legacy_storage_files.py
+++ b/pandas/tests/io/generate_legacy_storage_files.py
@@ -32,7 +32,9 @@
 
 """
 
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import os
 import pickle
 import platform as pl
@@ -57,7 +59,9 @@
     period_range,
     timedelta_range,
 )
-from pandas.arrays import SparseArray
+from pandas.arrays import (
+    SparseArray,
+)
 
 from pandas.tseries.offsets import (
     FY5253,
diff --git a/pandas/tests/io/json/test_compression.py b/pandas/tests/io/json/test_compression.py
index 143d2431d4147..67dbd6732d0b3 100644
--- a/pandas/tests/io/json/test_compression.py
+++ b/pandas/tests/io/json/test_compression.py
@@ -1,4 +1,6 @@
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 
 import pytest
 
@@ -6,7 +8,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
 
 def test_compression_roundtrip(compression):
diff --git a/pandas/tests/io/json/test_deprecated_kwargs.py b/pandas/tests/io/json/test_deprecated_kwargs.py
index 7e3296db75323..5ce8c4e100fb2 100644
--- a/pandas/tests/io/json/test_deprecated_kwargs.py
+++ b/pandas/tests/io/json/test_deprecated_kwargs.py
@@ -5,7 +5,9 @@
 import pandas as pd
 import pandas._testing as tm
 
-from pandas.io.json import read_json
+from pandas.io.json import (
+    read_json,
+)
 
 
 def test_good_kwargs():
diff --git a/pandas/tests/io/json/test_json_table_schema.py b/pandas/tests/io/json/test_json_table_schema.py
index 8cd5b8adb27a5..12c816e9ea0fe 100644
--- a/pandas/tests/io/json/test_json_table_schema.py
+++ b/pandas/tests/io/json/test_json_table_schema.py
@@ -1,5 +1,7 @@
 """Tests for Table Schema integration."""
-from collections import OrderedDict
+from collections import (
+    OrderedDict,
+)
 import json
 
 import numpy as np
@@ -12,7 +14,9 @@
 )
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 from pandas.io.json._table_schema import (
diff --git a/pandas/tests/io/json/test_json_table_schema_ext_dtype.py b/pandas/tests/io/json/test_json_table_schema_ext_dtype.py
index 75845148f6581..37fab49dc192a 100644
--- a/pandas/tests/io/json/test_json_table_schema_ext_dtype.py
+++ b/pandas/tests/io/json/test_json_table_schema_ext_dtype.py
@@ -1,6 +1,8 @@
 """Tests for ExtensionDtype Table Schema integration."""
 
-from collections import OrderedDict
+from collections import (
+    OrderedDict,
+)
 import datetime as dt
 import decimal
 import json
@@ -15,9 +17,15 @@
     read_json,
 )
 import pandas._testing as tm
-from pandas.core.arrays.integer import Int64Dtype
-from pandas.core.arrays.string_ import StringDtype
-from pandas.core.series import Series
+from pandas.core.arrays.integer import (
+    Int64Dtype,
+)
+from pandas.core.arrays.string_ import (
+    StringDtype,
+)
+from pandas.core.series import (
+    Series,
+)
 from pandas.tests.extension.date import (
     DateArray,
     DateDtype,
diff --git a/pandas/tests/io/json/test_normalize.py b/pandas/tests/io/json/test_normalize.py
index 78181fe2c4729..e07f6938d0afb 100644
--- a/pandas/tests/io/json/test_normalize.py
+++ b/pandas/tests/io/json/test_normalize.py
@@ -11,7 +11,9 @@
 )
 import pandas._testing as tm
 
-from pandas.io.json._normalize import nested_to_record
+from pandas.io.json._normalize import (
+    nested_to_record,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/json/test_pandas.py b/pandas/tests/io/json/test_pandas.py
index 7e2d123c72b01..2cdf8e034aa74 100644
--- a/pandas/tests/io/json/test_pandas.py
+++ b/pandas/tests/io/json/test_pandas.py
@@ -1,7 +1,13 @@
 import datetime
-from datetime import timedelta
-from decimal import Decimal
-from io import StringIO
+from datetime import (
+    timedelta,
+)
+from decimal import (
+    Decimal,
+)
+from io import (
+    StringIO,
+)
 import json
 import os
 import sys
@@ -10,7 +16,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -813,7 +821,9 @@ def test_date_index_and_values(self, date_format, as_object, date_typ):
     )
     def test_convert_dates_infer(self, infer_word):
         # GH10747
-        from pandas.io.json import dumps
+        from pandas.io.json import (
+            dumps,
+        )
 
         data = [{"id": 1, infer_word: 1036713600000}, {"id": 2}]
         expected = DataFrame(
@@ -1032,7 +1042,9 @@ def test_default_handler(self):
         tm.assert_frame_equal(expected, result, check_index_type=False)
 
     def test_default_handler_indirect(self):
-        from pandas.io.json import dumps
+        from pandas.io.json import (
+            dumps,
+        )
 
         def default(obj):
             if isinstance(obj, complex):
@@ -1134,7 +1146,9 @@ def test_sparse(self):
         ],
     )
     def test_tz_is_utc(self, ts):
-        from pandas.io.json import dumps
+        from pandas.io.json import (
+            dumps,
+        )
 
         exp = '"2013-01-10T05:00:00.000Z"'
 
@@ -1143,7 +1157,9 @@ def test_tz_is_utc(self, ts):
         assert dumps(dt, iso_dates=True) == exp
 
     def test_tz_is_naive(self):
-        from pandas.io.json import dumps
+        from pandas.io.json import (
+            dumps,
+        )
 
         ts = Timestamp("2013-01-10 05:00:00")
         exp = '"2013-01-10T05:00:00.000"'
@@ -1161,7 +1177,9 @@ def test_tz_is_naive(self):
         ],
     )
     def test_tz_range_is_utc(self, tz_range):
-        from pandas.io.json import dumps
+        from pandas.io.json import (
+            dumps,
+        )
 
         exp = '["2013-01-01T05:00:00.000Z","2013-01-02T05:00:00.000Z"]'
         dfexp = (
@@ -1182,7 +1200,9 @@ def test_tz_range_is_utc(self, tz_range):
         assert dumps(df.astype({"DT": object}), iso_dates=True)
 
     def test_tz_range_is_naive(self):
-        from pandas.io.json import dumps
+        from pandas.io.json import (
+            dumps,
+        )
 
         dti = pd.date_range("2013-01-01 05:00:00", periods=2)
 
@@ -1915,7 +1935,9 @@ def test_read_json_nullable(self, string_storage, dtype_backend, orient, option)
         )
 
         if dtype_backend == "pyarrow":
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             expected = DataFrame(
                 {
@@ -1945,7 +1967,9 @@ def test_read_json_nullable_series(self, string_storage, dtype_backend, orient):
         expected = Series([1, np.nan, 3], dtype="Int64")
 
         if dtype_backend == "pyarrow":
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             expected = Series(ArrowExtensionArray(pa.array(expected, from_pandas=True)))
 
diff --git a/pandas/tests/io/json/test_readlines.py b/pandas/tests/io/json/test_readlines.py
index 9b36423be73dd..7bfc7aa4d1dfc 100644
--- a/pandas/tests/io/json/test_readlines.py
+++ b/pandas/tests/io/json/test_readlines.py
@@ -1,6 +1,12 @@
-from io import StringIO
-from pathlib import Path
-from typing import Iterator
+from io import (
+    StringIO,
+)
+from pathlib import (
+    Path,
+)
+from typing import (
+    Iterator,
+)
 
 import pytest
 
@@ -11,7 +17,9 @@
 )
 import pandas._testing as tm
 
-from pandas.io.json._json import JsonReader
+from pandas.io.json._json import (
+    JsonReader,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/io/json/test_ujson.py b/pandas/tests/io/json/test_ujson.py
index 6b635a4f46972..77a161d156c53 100644
--- a/pandas/tests/io/json/test_ujson.py
+++ b/pandas/tests/io/json/test_ujson.py
@@ -13,7 +13,9 @@
 import pytz
 
 import pandas._libs.json as ujson
-from pandas.compat import IS64
+from pandas.compat import (
+    IS64,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/parser/common/test_chunksize.py b/pandas/tests/io/parser/common/test_chunksize.py
index c8cef56c73902..e28b63a43d296 100644
--- a/pandas/tests/io/parser/common/test_chunksize.py
+++ b/pandas/tests/io/parser/common/test_chunksize.py
@@ -2,12 +2,16 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import DtypeWarning
+from pandas.errors import (
+    DtypeWarning,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/parser/common/test_common_basic.py b/pandas/tests/io/parser/common/test_common_basic.py
index 6656face3be84..0378106d6b7e9 100644
--- a/pandas/tests/io/parser/common/test_common_basic.py
+++ b/pandas/tests/io/parser/common/test_common_basic.py
@@ -2,11 +2,19 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from datetime import datetime
-from inspect import signature
-from io import StringIO
+from datetime import (
+    datetime,
+)
+from inspect import (
+    signature,
+)
+from io import (
+    StringIO,
+)
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import sys
 
 import numpy as np
@@ -26,8 +34,12 @@
 )
 import pandas._testing as tm
 
-from pandas.io.parsers import TextFileReader
-from pandas.io.parsers.c_parser_wrapper import CParserWrapper
+from pandas.io.parsers import (
+    TextFileReader,
+)
+from pandas.io.parsers.c_parser_wrapper import (
+    CParserWrapper,
+)
 
 xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
 skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/common/test_data_list.py b/pandas/tests/io/parser/common/test_data_list.py
index 8d484bba1cb9d..6951bfeec52da 100644
--- a/pandas/tests/io/parser/common/test_data_list.py
+++ b/pandas/tests/io/parser/common/test_data_list.py
@@ -3,14 +3,20 @@
 specific classification into the other test modules.
 """
 import csv
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
-from pandas.io.parsers import TextParser
+from pandas.io.parsers import (
+    TextParser,
+)
 
 xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
 
diff --git a/pandas/tests/io/parser/common/test_decimal.py b/pandas/tests/io/parser/common/test_decimal.py
index ab58ddff9c06e..d51d5f3c66f98 100644
--- a/pandas/tests/io/parser/common/test_decimal.py
+++ b/pandas/tests/io/parser/common/test_decimal.py
@@ -2,11 +2,15 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 pytestmark = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/common/test_file_buffer_url.py b/pandas/tests/io/parser/common/test_file_buffer_url.py
index c11a59a8b4660..40ab260014b78 100644
--- a/pandas/tests/io/parser/common/test_file_buffer_url.py
+++ b/pandas/tests/io/parser/common/test_file_buffer_url.py
@@ -8,7 +8,9 @@
 )
 import os
 import platform
-from urllib.error import URLError
+from urllib.error import (
+    URLError,
+)
 import uuid
 
 import pytest
@@ -19,7 +21,9 @@
 )
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 # TODO(1.4) Please xfail individual tests at release time
diff --git a/pandas/tests/io/parser/common/test_float.py b/pandas/tests/io/parser/common/test_float.py
index 2ca98de914f9e..2ae1d4daf37be 100644
--- a/pandas/tests/io/parser/common/test_float.py
+++ b/pandas/tests/io/parser/common/test_float.py
@@ -2,14 +2,20 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_linux
+from pandas.compat import (
+    is_platform_linux,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 pytestmark = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/common/test_index.py b/pandas/tests/io/parser/common/test_index.py
index 69afb9fe56472..dedbb9015b30b 100644
--- a/pandas/tests/io/parser/common/test_index.py
+++ b/pandas/tests/io/parser/common/test_index.py
@@ -2,8 +2,12 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from datetime import datetime
-from io import StringIO
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
 import os
 
 import pytest
diff --git a/pandas/tests/io/parser/common/test_inf.py b/pandas/tests/io/parser/common/test_inf.py
index d43fb2f5187e1..3a8c7b03ad039 100644
--- a/pandas/tests/io/parser/common/test_inf.py
+++ b/pandas/tests/io/parser/common/test_inf.py
@@ -2,7 +2,9 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/io/parser/common/test_ints.py b/pandas/tests/io/parser/common/test_ints.py
index e3159ef3e6a42..66cf9ac5dab93 100644
--- a/pandas/tests/io/parser/common/test_ints.py
+++ b/pandas/tests/io/parser/common/test_ints.py
@@ -2,7 +2,9 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/io/parser/common/test_iterator.py b/pandas/tests/io/parser/common/test_iterator.py
index 939ed0e73a5ee..7939d2ef5c0f8 100644
--- a/pandas/tests/io/parser/common/test_iterator.py
+++ b/pandas/tests/io/parser/common/test_iterator.py
@@ -2,7 +2,9 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
diff --git a/pandas/tests/io/parser/common/test_read_errors.py b/pandas/tests/io/parser/common/test_read_errors.py
index 817daad9849c0..cd04b968aec2a 100644
--- a/pandas/tests/io/parser/common/test_read_errors.py
+++ b/pandas/tests/io/parser/common/test_read_errors.py
@@ -4,21 +4,29 @@
 """
 import codecs
 import csv
-from io import StringIO
+from io import (
+    StringIO,
+)
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import warnings
 
 import numpy as np
 import pytest
 
-from pandas.compat import PY311
+from pandas.compat import (
+    PY311,
+)
 from pandas.errors import (
     EmptyDataError,
     ParserError,
 )
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 pytestmark = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/common/test_verbose.py b/pandas/tests/io/parser/common/test_verbose.py
index 335065db974dc..7d910821253ad 100644
--- a/pandas/tests/io/parser/common/test_verbose.py
+++ b/pandas/tests/io/parser/common/test_verbose.py
@@ -2,7 +2,9 @@
 Tests that work on both the Python and C engines but do not have a
 specific classification into the other test modules.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
diff --git a/pandas/tests/io/parser/conftest.py b/pandas/tests/io/parser/conftest.py
index 3ab40ff846cb6..c2458e6d540f9 100644
--- a/pandas/tests/io/parser/conftest.py
+++ b/pandas/tests/io/parser/conftest.py
@@ -1,10 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import os
 
 import pytest
 
-from pandas.compat._optional import VERSIONS
+from pandas.compat._optional import (
+    VERSIONS,
+)
 
 from pandas import (
     read_csv,
diff --git a/pandas/tests/io/parser/dtypes/test_categorical.py b/pandas/tests/io/parser/dtypes/test_categorical.py
index a0deebecdfff8..6ec54d0d1a525 100644
--- a/pandas/tests/io/parser/dtypes/test_categorical.py
+++ b/pandas/tests/io/parser/dtypes/test_categorical.py
@@ -2,13 +2,17 @@
 Tests dtype specification during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 import os
 
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/io/parser/dtypes/test_dtypes_basic.py b/pandas/tests/io/parser/dtypes/test_dtypes_basic.py
index 21fec973897c0..65b9ce0363188 100644
--- a/pandas/tests/io/parser/dtypes/test_dtypes_basic.py
+++ b/pandas/tests/io/parser/dtypes/test_dtypes_basic.py
@@ -2,13 +2,19 @@
 Tests dtype specification during parsing
 for all of the parsers defined in parsers.py
 """
-from collections import defaultdict
-from io import StringIO
+from collections import (
+    defaultdict,
+)
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import ParserWarning
+from pandas.errors import (
+    ParserWarning,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/io/parser/dtypes/test_empty.py b/pandas/tests/io/parser/dtypes/test_empty.py
index 1f709a3cd8f28..e7c7678c175eb 100644
--- a/pandas/tests/io/parser/dtypes/test_empty.py
+++ b/pandas/tests/io/parser/dtypes/test_empty.py
@@ -2,7 +2,9 @@
 Tests dtype specification during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/io/parser/test_c_parser_only.py b/pandas/tests/io/parser/test_c_parser_only.py
index 4c6bc3583676a..c0c27c430f86b 100644
--- a/pandas/tests/io/parser/test_c_parser_only.py
+++ b/pandas/tests/io/parser/test_c_parser_only.py
@@ -4,7 +4,9 @@
 these tests out of this module as soon as the Python parser can accept
 further arguments when parsing.
 """
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 from io import (
     BytesIO,
     StringIO,
@@ -21,8 +23,12 @@
     IS64,
     is_ci_environment,
 )
-from pandas.compat.numpy import np_version_gte1p24
-from pandas.errors import ParserError
+from pandas.compat.numpy import (
+    np_version_gte1p24,
+)
+from pandas.errors import (
+    ParserError,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/io/parser/test_comment.py b/pandas/tests/io/parser/test_comment.py
index 9a14e67c154b6..5f523484e6b89 100644
--- a/pandas/tests/io/parser/test_comment.py
+++ b/pandas/tests/io/parser/test_comment.py
@@ -2,12 +2,16 @@
 Tests that comments are properly handled during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 pytestmark = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/test_compression.py b/pandas/tests/io/parser/test_compression.py
index 121784d5a45ed..70c10634aa0a0 100644
--- a/pandas/tests/io/parser/test_compression.py
+++ b/pandas/tests/io/parser/test_compression.py
@@ -4,15 +4,21 @@
 """
 
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import tarfile
 import zipfile
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
 skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
 
diff --git a/pandas/tests/io/parser/test_converters.py b/pandas/tests/io/parser/test_converters.py
index 85f3db0398080..827f12c36924e 100644
--- a/pandas/tests/io/parser/test_converters.py
+++ b/pandas/tests/io/parser/test_converters.py
@@ -2,9 +2,13 @@
 Tests column conversion functionality during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
-from dateutil.parser import parse
+from dateutil.parser import (
+    parse,
+)
 import numpy as np
 import pytest
 
diff --git a/pandas/tests/io/parser/test_dialect.py b/pandas/tests/io/parser/test_dialect.py
index 7d2bb6c083cda..7039acb5f6f60 100644
--- a/pandas/tests/io/parser/test_dialect.py
+++ b/pandas/tests/io/parser/test_dialect.py
@@ -4,13 +4,19 @@
 """
 
 import csv
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas.errors import ParserWarning
+from pandas.errors import (
+    ParserWarning,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 pytestmark = pytest.mark.usefixtures("pyarrow_skip")
@@ -100,7 +106,9 @@ def test_dialect_conflict_except_delimiter(all_parsers, custom_dialect, arg, val
         if value == "dialect":  # No conflict --> no warning.
             kwds[arg] = dialect_kwargs[arg]
         elif value == "default":  # Default --> no warning.
-            from pandas.io.parsers.base_parser import parser_defaults
+            from pandas.io.parsers.base_parser import (
+                parser_defaults,
+            )
 
             kwds[arg] = parser_defaults[arg]
         else:  # Non-default + conflict with dialect --> warning.
diff --git a/pandas/tests/io/parser/test_header.py b/pandas/tests/io/parser/test_header.py
index 5cb54bb4e2916..7b917c448eb55 100644
--- a/pandas/tests/io/parser/test_header.py
+++ b/pandas/tests/io/parser/test_header.py
@@ -3,13 +3,19 @@
 during parsing for all of the parsers defined in parsers.py
 """
 
-from collections import namedtuple
-from io import StringIO
+from collections import (
+    namedtuple,
+)
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import ParserError
+from pandas.errors import (
+    ParserError,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/parser/test_index_col.py b/pandas/tests/io/parser/test_index_col.py
index 13c4216710f84..a2746ead0f872 100644
--- a/pandas/tests/io/parser/test_index_col.py
+++ b/pandas/tests/io/parser/test_index_col.py
@@ -3,7 +3,9 @@
 is properly handled or inferred during parsing for all of
 the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/io/parser/test_mangle_dupes.py b/pandas/tests/io/parser/test_mangle_dupes.py
index 5709e7e4027e8..7ac751da929ca 100644
--- a/pandas/tests/io/parser/test_mangle_dupes.py
+++ b/pandas/tests/io/parser/test_mangle_dupes.py
@@ -3,11 +3,15 @@
 CSV engine. In general, the expected result is that they are either thoroughly
 de-duplicated (if mangling requested) or ignored otherwise.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/test_multi_thread.py b/pandas/tests/io/parser/test_multi_thread.py
index ab278470934a5..8cf988c51c246 100644
--- a/pandas/tests/io/parser/test_multi_thread.py
+++ b/pandas/tests/io/parser/test_multi_thread.py
@@ -2,15 +2,23 @@
 Tests multithreading behaviour for reading and
 parsing files for each parser defined in parsers.py
 """
-from contextlib import ExitStack
-from io import BytesIO
-from multiprocessing.pool import ThreadPool
+from contextlib import (
+    ExitStack,
+)
+from io import (
+    BytesIO,
+)
+from multiprocessing.pool import (
+    ThreadPool,
+)
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 # We'll probably always skip these for pyarrow
diff --git a/pandas/tests/io/parser/test_na_values.py b/pandas/tests/io/parser/test_na_values.py
index 0ca4884153b59..0559e861e8409 100644
--- a/pandas/tests/io/parser/test_na_values.py
+++ b/pandas/tests/io/parser/test_na_values.py
@@ -2,12 +2,16 @@
 Tests that NA values are properly handled during
 parsing for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.parsers import STR_NA_VALUES
+from pandas._libs.parsers import (
+    STR_NA_VALUES,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/parser/test_network.py b/pandas/tests/io/parser/test_network.py
index 4a6443e22d690..1adc712a2387b 100644
--- a/pandas/tests/io/parser/test_network.py
+++ b/pandas/tests/io/parser/test_network.py
@@ -11,15 +11,25 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_ci_environment
+from pandas.compat import (
+    is_ci_environment,
+)
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
-from pandas.io.feather_format import read_feather
-from pandas.io.parsers import read_csv
+from pandas.io.feather_format import (
+    read_feather,
+)
+from pandas.io.parsers import (
+    read_csv,
+)
 
 
 @pytest.mark.network
diff --git a/pandas/tests/io/parser/test_parse_dates.py b/pandas/tests/io/parser/test_parse_dates.py
index 7bb7ca5c6d159..c13cb1a2ed94d 100644
--- a/pandas/tests/io/parser/test_parse_dates.py
+++ b/pandas/tests/io/parser/test_parse_dates.py
@@ -9,16 +9,26 @@
     timedelta,
     timezone,
 )
-from io import StringIO
+from io import (
+    StringIO,
+)
 
-from dateutil.parser import parse as du_parse
-from hypothesis import given
+from dateutil.parser import (
+    parse as du_parse,
+)
+from hypothesis import (
+    given,
+)
 import numpy as np
 import pytest
 import pytz
 
-from pandas._libs.tslibs import parsing
-from pandas._libs.tslibs.parsing import py_parse_datetime_string
+from pandas._libs.tslibs import (
+    parsing,
+)
+from pandas._libs.tslibs.parsing import (
+    py_parse_datetime_string,
+)
 
 import pandas as pd
 from pandas import (
@@ -30,10 +40,16 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas._testing._hypothesis import DATETIME_NO_TZ
-from pandas.core.indexes.datetimes import date_range
+from pandas._testing._hypothesis import (
+    DATETIME_NO_TZ,
+)
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 
-from pandas.io.parsers import read_csv
+from pandas.io.parsers import (
+    read_csv,
+)
 
 xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
 
diff --git a/pandas/tests/io/parser/test_python_parser_only.py b/pandas/tests/io/parser/test_python_parser_only.py
index ca5a757328ba7..c61690f3503f1 100644
--- a/pandas/tests/io/parser/test_python_parser_only.py
+++ b/pandas/tests/io/parser/test_python_parser_only.py
@@ -4,7 +4,9 @@
 these tests out of this module as soon as the C parser can accept further
 arguments when parsing.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import csv
 from io import (
@@ -12,7 +14,9 @@
     StringIO,
     TextIOWrapper,
 )
-from typing import Iterator
+from typing import (
+    Iterator,
+)
 
 import pytest
 
diff --git a/pandas/tests/io/parser/test_quoting.py b/pandas/tests/io/parser/test_quoting.py
index 025a612dc47d2..ac8fc01408457 100644
--- a/pandas/tests/io/parser/test_quoting.py
+++ b/pandas/tests/io/parser/test_quoting.py
@@ -4,14 +4,22 @@
 """
 
 import csv
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas.compat import PY311
-from pandas.errors import ParserError
+from pandas.compat import (
+    PY311,
+)
+from pandas.errors import (
+    ParserError,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 pytestmark = pytest.mark.usefixtures("pyarrow_skip")
diff --git a/pandas/tests/io/parser/test_read_fwf.py b/pandas/tests/io/parser/test_read_fwf.py
index 47379aaab6feb..0f845af87bb6f 100644
--- a/pandas/tests/io/parser/test_read_fwf.py
+++ b/pandas/tests/io/parser/test_read_fwf.py
@@ -4,17 +4,23 @@
 engine is set to 'python-fwf' internally.
 """
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 from io import (
     BytesIO,
     StringIO,
 )
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import EmptyDataError
+from pandas.errors import (
+    EmptyDataError,
+)
 
 import pandas as pd
 from pandas import (
@@ -26,7 +32,9 @@
     ArrowStringArray,
     StringArray,
 )
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
 from pandas.io.parsers import (
     read_csv,
@@ -991,7 +999,9 @@ def test_use_nullable_dtypes(string_storage, dtype_backend):
     )
     if dtype_backend == "pyarrow":
         pa = pytest.importorskip("pyarrow")
-        from pandas.arrays import ArrowExtensionArray
+        from pandas.arrays import (
+            ArrowExtensionArray,
+        )
 
         expected = DataFrame(
             {
diff --git a/pandas/tests/io/parser/test_skiprows.py b/pandas/tests/io/parser/test_skiprows.py
index c58e27aacfa00..358f4aff91da9 100644
--- a/pandas/tests/io/parser/test_skiprows.py
+++ b/pandas/tests/io/parser/test_skiprows.py
@@ -3,13 +3,19 @@
 parsing for all of the parsers defined in parsers.py
 """
 
-from datetime import datetime
-from io import StringIO
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import EmptyDataError
+from pandas.errors import (
+    EmptyDataError,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/parser/test_textreader.py b/pandas/tests/io/parser/test_textreader.py
index f150ed3903443..ba692a171cea1 100644
--- a/pandas/tests/io/parser/test_textreader.py
+++ b/pandas/tests/io/parser/test_textreader.py
@@ -11,16 +11,22 @@
 import pytest
 
 import pandas._libs.parsers as parser
-from pandas._libs.parsers import TextReader
+from pandas._libs.parsers import (
+    TextReader,
+)
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 from pandas.io.parsers import (
     TextFileReader,
     read_csv,
 )
-from pandas.io.parsers.c_parser_wrapper import ensure_dtype_objs
+from pandas.io.parsers.c_parser_wrapper import (
+    ensure_dtype_objs,
+)
 
 
 class TestTextReader:
diff --git a/pandas/tests/io/parser/test_unsupported.py b/pandas/tests/io/parser/test_unsupported.py
index 185dc733df3c2..5a9e9aaadef69 100644
--- a/pandas/tests/io/parser/test_unsupported.py
+++ b/pandas/tests/io/parser/test_unsupported.py
@@ -6,9 +6,13 @@
 Ultimately, the goal is to remove test cases from this
 test suite as new feature support is added to the parsers.
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 
 import pytest
 
@@ -17,11 +21,15 @@
     is_platform_mac,
     is_platform_windows,
 )
-from pandas.errors import ParserError
+from pandas.errors import (
+    ParserError,
+)
 
 import pandas._testing as tm
 
-from pandas.io.parsers import read_csv
+from pandas.io.parsers import (
+    read_csv,
+)
 import pandas.io.parsers.readers as parsers
 
 
@@ -92,7 +100,9 @@ def test_c_engine(self):
             read_csv(StringIO(data), lineterminator="~~")
 
     def test_python_engine(self, python_engine):
-        from pandas.io.parsers.readers import _python_unsupported as py_unsupported
+        from pandas.io.parsers.readers import (
+            _python_unsupported as py_unsupported,
+        )
 
         data = """1,2,3,,
 1,2,3,4,
@@ -132,7 +142,9 @@ def readline(self):
             read_csv(NoNextBuffer(data), engine=python_engine)
 
     def test_pyarrow_engine(self):
-        from pandas.io.parsers.readers import _pyarrow_unsupported as pa_unsupported
+        from pandas.io.parsers.readers import (
+            _pyarrow_unsupported as pa_unsupported,
+        )
 
         data = """1,2,3,,
         1,2,3,4,
diff --git a/pandas/tests/io/parser/test_upcast.py b/pandas/tests/io/parser/test_upcast.py
index a4111630d1256..0d55e72e2eaa2 100644
--- a/pandas/tests/io/parser/test_upcast.py
+++ b/pandas/tests/io/parser/test_upcast.py
@@ -8,7 +8,9 @@
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas import NA
+from pandas import (
+    NA,
+)
 import pandas._testing as tm
 from pandas.core.arrays import (
     ArrowStringArray,
diff --git a/pandas/tests/io/parser/usecols/test_parse_dates.py b/pandas/tests/io/parser/usecols/test_parse_dates.py
index 4823df1da9959..a73f0eb384e3b 100644
--- a/pandas/tests/io/parser/usecols/test_parse_dates.py
+++ b/pandas/tests/io/parser/usecols/test_parse_dates.py
@@ -2,7 +2,9 @@
 Tests the usecols functionality during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
diff --git a/pandas/tests/io/parser/usecols/test_strings.py b/pandas/tests/io/parser/usecols/test_strings.py
index 8cecf1fc981ee..5aa3d457bffef 100644
--- a/pandas/tests/io/parser/usecols/test_strings.py
+++ b/pandas/tests/io/parser/usecols/test_strings.py
@@ -2,11 +2,15 @@
 Tests the usecols functionality during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 _msg_validate_usecols_arg = (
diff --git a/pandas/tests/io/parser/usecols/test_usecols_basic.py b/pandas/tests/io/parser/usecols/test_usecols_basic.py
index 032cb961103df..00f2f5b8e842e 100644
--- a/pandas/tests/io/parser/usecols/test_usecols_basic.py
+++ b/pandas/tests/io/parser/usecols/test_usecols_basic.py
@@ -2,12 +2,16 @@
 Tests the usecols functionality during parsing
 for all of the parsers defined in parsers.py
 """
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import ParserError
+from pandas.errors import (
+    ParserError,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/pytables/common.py b/pandas/tests/io/pytables/common.py
index ef90d97a5a98c..d789d5e40ca65 100644
--- a/pandas/tests/io/pytables/common.py
+++ b/pandas/tests/io/pytables/common.py
@@ -1,11 +1,17 @@
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 import pathlib
 import tempfile
-from typing import Generator
+from typing import (
+    Generator,
+)
 
 import pytest
 
-from pandas.io.pytables import HDFStore
+from pandas.io.pytables import (
+    HDFStore,
+)
 
 tables = pytest.importorskip("tables")
 # set these parameters so we don't have file sharing
diff --git a/pandas/tests/io/pytables/test_append.py b/pandas/tests/io/pytables/test_append.py
index c37e68f537ebb..b81cf33d579b9 100644
--- a/pandas/tests/io/pytables/test_append.py
+++ b/pandas/tests/io/pytables/test_append.py
@@ -1,12 +1,18 @@
 import datetime
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import re
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/io/pytables/test_complex.py b/pandas/tests/io/pytables/test_complex.py
index 051221d165060..8d323afe75750 100644
--- a/pandas/tests/io/pytables/test_complex.py
+++ b/pandas/tests/io/pytables/test_complex.py
@@ -1,4 +1,6 @@
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
 import numpy as np
 import pytest
@@ -9,9 +11,13 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.io.pytables.common import ensure_clean_store
+from pandas.tests.io.pytables.common import (
+    ensure_clean_store,
+)
 
-from pandas.io.pytables import read_hdf
+from pandas.io.pytables import (
+    read_hdf,
+)
 
 
 def test_complex_fixed(tmp_path, setup_path):
diff --git a/pandas/tests/io/pytables/test_errors.py b/pandas/tests/io/pytables/test_errors.py
index 295cce970889c..a6911c549181a 100644
--- a/pandas/tests/io/pytables/test_errors.py
+++ b/pandas/tests/io/pytables/test_errors.py
@@ -1,7 +1,11 @@
 import datetime
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 import re
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
 import numpy as np
 import pytest
@@ -15,7 +19,9 @@
     date_range,
     read_hdf,
 )
-from pandas.tests.io.pytables.common import ensure_clean_store
+from pandas.tests.io.pytables.common import (
+    ensure_clean_store,
+)
 
 from pandas.io.pytables import (
     Term,
diff --git a/pandas/tests/io/pytables/test_file_handling.py b/pandas/tests/io/pytables/test_file_handling.py
index 49190daa37442..03f2fadf29e0b 100644
--- a/pandas/tests/io/pytables/test_file_handling.py
+++ b/pandas/tests/io/pytables/test_file_handling.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_little_endian
+from pandas.compat import (
+    is_platform_little_endian,
+)
 from pandas.errors import (
     ClosedFileError,
     PossibleDataLossError,
@@ -22,8 +24,12 @@
     tables,
 )
 
-from pandas.io import pytables
-from pandas.io.pytables import Term
+from pandas.io import (
+    pytables,
+)
+from pandas.io.pytables import (
+    Term,
+)
 
 pytestmark = pytest.mark.single_cpu
 
diff --git a/pandas/tests/io/pytables/test_put.py b/pandas/tests/io/pytables/test_put.py
index d2b0519d6cf3d..e7e1235e246b5 100644
--- a/pandas/tests/io/pytables/test_put.py
+++ b/pandas/tests/io/pytables/test_put.py
@@ -8,7 +8,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 
 import pandas as pd
 from pandas import (
@@ -24,7 +26,9 @@
     _maybe_remove,
     ensure_clean_store,
 )
-from pandas.util import _test_decorators as td
+from pandas.util import (
+    _test_decorators as td,
+)
 
 pytestmark = pytest.mark.single_cpu
 
diff --git a/pandas/tests/io/pytables/test_read.py b/pandas/tests/io/pytables/test_read.py
index 2f2190a352045..9710625c0d27a 100644
--- a/pandas/tests/io/pytables/test_read.py
+++ b/pandas/tests/io/pytables/test_read.py
@@ -1,12 +1,20 @@
-from contextlib import closing
-from pathlib import Path
+from contextlib import (
+    closing,
+)
+from pathlib import (
+    Path,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
-from pandas.compat import is_platform_windows
+from pandas._libs.tslibs import (
+    Timestamp,
+)
+from pandas.compat import (
+    is_platform_windows,
+)
 
 import pandas as pd
 from pandas import (
@@ -21,9 +29,13 @@
     _maybe_remove,
     ensure_clean_store,
 )
-from pandas.util import _test_decorators as td
+from pandas.util import (
+    _test_decorators as td,
+)
 
-from pandas.io.pytables import TableIterator
+from pandas.io.pytables import (
+    TableIterator,
+)
 
 pytestmark = pytest.mark.single_cpu
 
@@ -302,7 +314,9 @@ def test_read_from_pathlib_path(tmp_path, setup_path):
 @td.skip_if_no("py.path")
 def test_read_from_py_localpath(tmp_path, setup_path):
     # GH11773
-    from py.path import local as LocalPath
+    from py.path import (
+        local as LocalPath,
+    )
 
     expected = DataFrame(
         np.random.rand(4, 5), index=list("abcd"), columns=list("ABCDE")
diff --git a/pandas/tests/io/pytables/test_retain_attributes.py b/pandas/tests/io/pytables/test_retain_attributes.py
index 8ca8e624a6de2..da2b9b556d126 100644
--- a/pandas/tests/io/pytables/test_retain_attributes.py
+++ b/pandas/tests/io/pytables/test_retain_attributes.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/io/pytables/test_round_trip.py b/pandas/tests/io/pytables/test_round_trip.py
index 163951a6ebc45..bce4ce1243ffd 100644
--- a/pandas/tests/io/pytables/test_round_trip.py
+++ b/pandas/tests/io/pytables/test_round_trip.py
@@ -8,8 +8,12 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
-from pandas.compat import is_platform_windows
+from pandas._libs.tslibs import (
+    Timestamp,
+)
+from pandas.compat import (
+    is_platform_windows,
+)
 
 import pandas as pd
 from pandas import (
@@ -24,7 +28,9 @@
     _maybe_remove,
     ensure_clean_store,
 )
-from pandas.util import _test_decorators as td
+from pandas.util import (
+    _test_decorators as td,
+)
 
 _default_compressor = "blosc"
 
diff --git a/pandas/tests/io/pytables/test_select.py b/pandas/tests/io/pytables/test_select.py
index 447d56ac91b24..3013121d6ccb0 100644
--- a/pandas/tests/io/pytables/test_select.py
+++ b/pandas/tests/io/pytables/test_select.py
@@ -1,9 +1,13 @@
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 
 import pandas as pd
 from pandas import (
@@ -24,7 +28,9 @@
     ensure_clean_store,
 )
 
-from pandas.io.pytables import Term
+from pandas.io.pytables import (
+    Term,
+)
 
 pytestmark = pytest.mark.single_cpu
 
diff --git a/pandas/tests/io/pytables/test_time_series.py b/pandas/tests/io/pytables/test_time_series.py
index 262f25e77b69c..402f9eed87bd8 100644
--- a/pandas/tests/io/pytables/test_time_series.py
+++ b/pandas/tests/io/pytables/test_time_series.py
@@ -8,7 +8,9 @@
     Series,
     _testing as tm,
 )
-from pandas.tests.io.pytables.common import ensure_clean_store
+from pandas.tests.io.pytables.common import (
+    ensure_clean_store,
+)
 
 pytestmark = pytest.mark.single_cpu
 
diff --git a/pandas/tests/io/pytables/test_timezones.py b/pandas/tests/io/pytables/test_timezones.py
index 7589eb8e96a10..d67dafaa68e85 100644
--- a/pandas/tests/io/pytables/test_timezones.py
+++ b/pandas/tests/io/pytables/test_timezones.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.timezones import maybe_get_tz
+from pandas._libs.tslibs.timezones import (
+    maybe_get_tz,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/io/sas/test_sas.py b/pandas/tests/io/sas/test_sas.py
index 1e38baf4fc409..988bdd8b74066 100644
--- a/pandas/tests/io/sas/test_sas.py
+++ b/pandas/tests/io/sas/test_sas.py
@@ -1,8 +1,12 @@
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import pytest
 
-from pandas import read_sas
+from pandas import (
+    read_sas,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/io/sas/test_sas7bdat.py b/pandas/tests/io/sas/test_sas7bdat.py
index 348d2382976c3..58aa3820d68b7 100644
--- a/pandas/tests/io/sas/test_sas7bdat.py
+++ b/pandas/tests/io/sas/test_sas7bdat.py
@@ -1,14 +1,20 @@
 import contextlib
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import io
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 
 import dateutil.parser
 import numpy as np
 import pytest
 
-from pandas.errors import EmptyDataError
+from pandas.errors import (
+    EmptyDataError,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -83,7 +89,9 @@ def test_path_pathlib(self, dirpath, data_test_ix):
     @td.skip_if_no("py.path")
     @pytest.mark.slow
     def test_path_localpath(self, dirpath, data_test_ix):
-        from py.path import local as LocalPath
+        from py.path import (
+            local as LocalPath,
+        )
 
         df0, test_ix = data_test_ix
         for k in test_ix:
@@ -127,7 +135,9 @@ def test_encoding_options(datapath):
             pass
     tm.assert_frame_equal(df1, df2)
 
-    from pandas.io.sas.sas7bdat import SAS7BDATReader
+    from pandas.io.sas.sas7bdat import (
+        SAS7BDATReader,
+    )
 
     with contextlib.closing(SAS7BDATReader(fname, convert_header_text=False)) as rdr:
         df3 = rdr.read()
diff --git a/pandas/tests/io/sas/test_xport.py b/pandas/tests/io/sas/test_xport.py
index 766c9c37d55b9..04489ab1aad7a 100644
--- a/pandas/tests/io/sas/test_xport.py
+++ b/pandas/tests/io/sas/test_xport.py
@@ -4,7 +4,9 @@
 import pandas as pd
 import pandas._testing as tm
 
-from pandas.io.sas.sasreader import read_sas
+from pandas.io.sas.sasreader import (
+    read_sas,
+)
 
 # CSV versions of test xpt files were obtained using the R foreign library
 
diff --git a/pandas/tests/io/test_clipboard.py b/pandas/tests/io/test_clipboard.py
index eeadd8bc56c74..7e150d18964b5 100644
--- a/pandas/tests/io/test_clipboard.py
+++ b/pandas/tests/io/test_clipboard.py
@@ -1,6 +1,8 @@
 import os
 import subprocess
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import numpy as np
 import pytest
@@ -459,7 +461,9 @@ def test_read_clipboard_nullable_dtypes(
             }
         )
         if dtype_backend == "pyarrow":
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             expected = DataFrame(
                 {
diff --git a/pandas/tests/io/test_common.py b/pandas/tests/io/test_common.py
index b248c0c460c74..8c2007f2ddb82 100644
--- a/pandas/tests/io/test_common.py
+++ b/pandas/tests/io/test_common.py
@@ -3,7 +3,9 @@
 """
 import codecs
 import errno
-from functools import partial
+from functools import (
+    partial,
+)
 from io import (
     BytesIO,
     StringIO,
@@ -11,13 +13,17 @@
 )
 import mmap
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import pickle
 import tempfile
 
 import pytest
 
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -40,7 +46,9 @@ def __fspath__(self):
 path_types = [str, CustomFSPath, Path]
 
 try:
-    from py.path import local as LocalPath
+    from py.path import (
+        local as LocalPath,
+    )
 
     path_types.append(LocalPath)
 except ImportError:
@@ -149,7 +157,9 @@ def test_bytesiowrapper_returns_correct_bytes(self):
     # Test that pyarrow can handle a file opened with get_handle
     @td.skip_if_no("pyarrow")
     def test_get_handle_pyarrow_compat(self):
-        from pyarrow import csv
+        from pyarrow import (
+            csv,
+        )
 
         # Test latin1, ucs-2, and ucs-4 chars
         data = """a,b,c
diff --git a/pandas/tests/io/test_compression.py b/pandas/tests/io/test_compression.py
index fc15ff3488ce9..0af9fdaf50e7f 100644
--- a/pandas/tests/io/test_compression.py
+++ b/pandas/tests/io/test_compression.py
@@ -1,7 +1,9 @@
 import gzip
 import io
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import subprocess
 import sys
 import tarfile
@@ -11,7 +13,9 @@
 
 import pytest
 
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/io/test_feather.py b/pandas/tests/io/test_feather.py
index 35970da211c31..e44d211df4caf 100644
--- a/pandas/tests/io/test_feather.py
+++ b/pandas/tests/io/test_feather.py
@@ -240,7 +240,9 @@ def test_read_json_nullable(self, string_storage, dtype_backend, option):
         )
 
         if dtype_backend == "pyarrow":
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             expected = pd.DataFrame(
                 {
diff --git a/pandas/tests/io/test_fsspec.py b/pandas/tests/io/test_fsspec.py
index a5790bb456d44..32b36f19ba3bf 100644
--- a/pandas/tests/io/test_fsspec.py
+++ b/pandas/tests/io/test_fsspec.py
@@ -16,7 +16,9 @@
     read_table,
 )
 import pandas._testing as tm
-from pandas.util import _test_decorators as td
+from pandas.util import (
+    _test_decorators as td,
+)
 
 
 @pytest.fixture
@@ -50,7 +52,9 @@ def test_read_csv(cleared_fs, df1):
 
 
 def test_reasonable_error(monkeypatch, cleared_fs):
-    from fsspec.registry import known_implementations
+    from fsspec.registry import (
+        known_implementations,
+    )
 
     with pytest.raises(ValueError, match="nosuchprotocol"):
         read_csv("nosuchprotocol://test/test.csv")
diff --git a/pandas/tests/io/test_gcs.py b/pandas/tests/io/test_gcs.py
index a609c1b5fc03d..2a578a4fd5c3c 100644
--- a/pandas/tests/io/test_gcs.py
+++ b/pandas/tests/io/test_gcs.py
@@ -1,4 +1,6 @@
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 import os
 import tarfile
 import zipfile
@@ -15,8 +17,12 @@
     read_parquet,
 )
 import pandas._testing as tm
-from pandas.tests.io.test_compression import _compression_to_extension
-from pandas.util import _test_decorators as td
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
+from pandas.util import (
+    _test_decorators as td,
+)
 
 
 @pytest.fixture
@@ -164,7 +170,9 @@ def test_to_csv_compression_encoding_gcs(gcs_buffer, compression_only, encoding)
 @td.skip_if_no("gcsfs")
 def test_to_parquet_gcs_new_file(monkeypatch, tmpdir):
     """Regression test for writing to a not-yet-existent GCS Parquet file."""
-    from fsspec import AbstractFileSystem
+    from fsspec import (
+        AbstractFileSystem,
+    )
 
     df1 = DataFrame(
         {
diff --git a/pandas/tests/io/test_html.py b/pandas/tests/io/test_html.py
index 514d96a4d9ec6..978f725be6eed 100644
--- a/pandas/tests/io/test_html.py
+++ b/pandas/tests/io/test_html.py
@@ -1,19 +1,29 @@
-from functools import partial
+from functools import (
+    partial,
+)
 from io import (
     BytesIO,
     StringIO,
 )
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import re
 import threading
-from typing import Iterator
-from urllib.error import URLError
+from typing import (
+    Iterator,
+)
+from urllib.error import (
+    URLError,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -34,7 +44,9 @@
     StringArray,
 )
 
-from pandas.io.common import file_path_to_url
+from pandas.io.common import (
+    file_path_to_url,
+)
 import pandas.io.html
 
 
@@ -182,7 +194,9 @@ def test_use_nullable_dtypes(self, string_storage, dtype_backend):
         if dtype_backend == "pyarrow":
             import pyarrow as pa
 
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             expected = DataFrame(
                 {
@@ -655,7 +669,9 @@ def test_parse_header_of_non_string_column(self):
 
     @pytest.mark.slow
     def test_banklist_header(self, banklist_data, datapath):
-        from pandas.io.html import _remove_whitespace
+        from pandas.io.html import (
+            _remove_whitespace,
+        )
 
         def try_remove_ws(x):
             try:
diff --git a/pandas/tests/io/test_orc.py b/pandas/tests/io/test_orc.py
index 9db19d4eb8448..f74d77299e7ef 100644
--- a/pandas/tests/io/test_orc.py
+++ b/pandas/tests/io/test_orc.py
@@ -1,7 +1,11 @@
 """ test orc compat """
 import datetime
-from decimal import Decimal
-from io import BytesIO
+from decimal import (
+    Decimal,
+)
+from io import (
+    BytesIO,
+)
 import os
 import pathlib
 
@@ -11,9 +15,13 @@
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas import read_orc
+from pandas import (
+    read_orc,
+)
 import pandas._testing as tm
-from pandas.core.arrays import StringArray
+from pandas.core.arrays import (
+    StringArray,
+)
 
 pytest.importorskip("pyarrow.orc")
 
diff --git a/pandas/tests/io/test_parquet.py b/pandas/tests/io/test_parquet.py
index 353dc4f1cbd8a..6afb6e82fd8d2 100644
--- a/pandas/tests/io/test_parquet.py
+++ b/pandas/tests/io/test_parquet.py
@@ -1,16 +1,24 @@
 """ test parquet compat """
 import datetime
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 import os
 import pathlib
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 
 import numpy as np
 import pytest
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 from pandas.compat.pyarrow import (
     pa_version_under7p0,
     pa_version_under8p0,
@@ -19,7 +27,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 from pandas.io.parquet import (
     FastParquetImpl,
@@ -285,7 +295,9 @@ def test_options_get_engine(fp, pa):
 def test_get_engine_auto_error_message():
     # Expect different error messages from get_engine(engine="auto")
     # if engines aren't installed vs. are installed but bad version
-    from pandas.compat._optional import VERSIONS
+    from pandas.compat._optional import (
+        VERSIONS,
+    )
 
     # Do we have engines installed, but a bad version of them?
     pa_min_ver = VERSIONS.get("pyarrow")
diff --git a/pandas/tests/io/test_pickle.py b/pandas/tests/io/test_pickle.py
index 60506aa2fbd0a..f746f8f209f80 100644
--- a/pandas/tests/io/test_pickle.py
+++ b/pandas/tests/io/test_pickle.py
@@ -10,20 +10,28 @@
 
 3. Move the created pickle to "data/legacy_pickle/<version>" directory.
 """
-from array import array
+from array import (
+    array,
+)
 import bz2
 import datetime
 import functools
-from functools import partial
+from functools import (
+    partial,
+)
 import gzip
 import io
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import pickle
 import shutil
 import tarfile
 import uuid
-from warnings import catch_warnings
+from warnings import (
+    catch_warnings,
+)
 import zipfile
 
 import numpy as np
@@ -33,8 +41,12 @@
     get_lzma_file,
     is_platform_little_endian,
 )
-from pandas.compat._optional import import_optional_dependency
-from pandas.compat.compressors import flatten_buffer
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
+from pandas.compat.compressors import (
+    flatten_buffer,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -55,7 +67,9 @@
 @pytest.fixture
 def current_pickle_data():
     # our current version pickle data
-    from pandas.tests.io.generate_legacy_storage_files import create_pickle_data
+    from pandas.tests.io.generate_legacy_storage_files import (
+        create_pickle_data,
+    )
 
     with catch_warnings():
         return create_pickle_data()
diff --git a/pandas/tests/io/test_s3.py b/pandas/tests/io/test_s3.py
index 6702d58c139af..4e363d38c27ff 100644
--- a/pandas/tests/io/test_s3.py
+++ b/pandas/tests/io/test_s3.py
@@ -1,11 +1,15 @@
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 import os
 
 import pytest
 
 import pandas.util._test_decorators as td
 
-from pandas import read_csv
+from pandas import (
+    read_csv,
+)
 import pandas._testing as tm
 
 
@@ -13,7 +17,9 @@ def test_streaming_s3_objects():
     # GH17135
     # botocore gained iteration support in 1.10.47, can now be used in read_*
     pytest.importorskip("botocore", minversion="1.10.47")
-    from botocore.response import StreamingBody
+    from botocore.response import (
+        StreamingBody,
+    )
 
     data = [b"foo,bar,baz\n1,2,3\n4,5,6\n", b"just,the,header\n"]
     for el in data:
diff --git a/pandas/tests/io/test_spss.py b/pandas/tests/io/test_spss.py
index 7b19d2dafb34e..9ded28446f7fa 100644
--- a/pandas/tests/io/test_spss.py
+++ b/pandas/tests/io/test_spss.py
@@ -1,4 +1,6 @@
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 
 import numpy as np
 import pytest
@@ -93,7 +95,9 @@ def test_spss_umlauts_use_nullable_dtypes(datapath, dtype_backend):
     if dtype_backend == "pyarrow":
         pa = pytest.importorskip("pyarrow")
 
-        from pandas.arrays import ArrowExtensionArray
+        from pandas.arrays import (
+            ArrowExtensionArray,
+        )
 
         expected = pd.DataFrame(
             {
diff --git a/pandas/tests/io/test_sql.py b/pandas/tests/io/test_sql.py
index b6f88746d53ea..2cf5fedf393d2 100644
--- a/pandas/tests/io/test_sql.py
+++ b/pandas/tests/io/test_sql.py
@@ -15,18 +15,26 @@
     - Tests for the fallback mode (`TestSQLiteFallback`)
 
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import contextlib
-from contextlib import closing
+from contextlib import (
+    closing,
+)
 import csv
 from datetime import (
     date,
     datetime,
     time,
 )
-from io import StringIO
-from pathlib import Path
+from io import (
+    StringIO,
+)
+from pathlib import (
+    Path,
+)
 import sqlite3
 
 import numpy as np
@@ -58,7 +66,9 @@
     StringArray,
 )
 
-from pandas.io import sql
+from pandas.io import (
+    sql,
+)
 from pandas.io.sql import (
     SQLAlchemyEngine,
     SQLDatabase,
@@ -145,8 +155,12 @@ def create_and_load_iris_sqlite3(conn: sqlite3.Connection, iris_file: Path):
 
 
 def create_and_load_iris(conn, iris_file: Path, dialect: str):
-    from sqlalchemy import insert
-    from sqlalchemy.engine import Engine
+    from sqlalchemy import (
+        insert,
+    )
+    from sqlalchemy.engine import (
+        Engine,
+    )
 
     iris = iris_table_metadata(dialect)
 
@@ -174,8 +188,12 @@ def create_and_load_iris_view(conn):
         cur = conn.cursor()
         cur.execute(stmt)
     else:
-        from sqlalchemy import text
-        from sqlalchemy.engine import Engine
+        from sqlalchemy import (
+            text,
+        )
+        from sqlalchemy.engine import (
+            Engine,
+        )
 
         stmt = text(stmt)
         if isinstance(conn, Engine):
@@ -243,8 +261,12 @@ def create_and_load_types_sqlite3(conn: sqlite3.Connection, types_data: list[dic
 
 
 def create_and_load_types(conn, types_data: list[dict], dialect: str):
-    from sqlalchemy import insert
-    from sqlalchemy.engine import Engine
+    from sqlalchemy import (
+        insert,
+    )
+    from sqlalchemy.engine import (
+        Engine,
+    )
 
     types = types_table_metadata(dialect)
 
@@ -276,8 +298,12 @@ def count_rows(conn, table_name: str):
         cur = conn.cursor()
         return cur.execute(stmt).fetchone()[0]
     else:
-        from sqlalchemy import create_engine
-        from sqlalchemy.engine import Engine
+        from sqlalchemy import (
+            create_engine,
+        )
+        from sqlalchemy.engine import (
+            Engine,
+        )
 
         if isinstance(conn, str):
             try:
@@ -712,8 +738,12 @@ def test_read_procedure(conn, request):
     # GH 7324
     # Although it is more an api test, it is added to the
     # mysql tests as sqlite does not have stored procedures
-    from sqlalchemy import text
-    from sqlalchemy.engine import Engine
+    from sqlalchemy import (
+        text,
+    )
+    from sqlalchemy.engine import (
+        Engine,
+    )
 
     df = DataFrame({"a": [1, 2, 3], "b": [0.1, 0.2, 0.3]})
     df.to_sql("test_frame", conn, index=False)
@@ -856,7 +886,9 @@ def drop_table(self, table_name, conn):
             sql.SQLDatabase(conn).drop_table(table_name)
 
     def _get_all_tables(self, conn):
-        from sqlalchemy import inspect
+        from sqlalchemy import (
+            inspect,
+        )
 
         return inspect(conn).get_table_names()
 
@@ -870,7 +902,9 @@ def drop_view(self, view_name, conn):
             conn.exec_driver_sql(f"DROP VIEW IF EXISTS {quoted_view}")
 
     def _get_all_views(self, conn):
-        from sqlalchemy import inspect
+        from sqlalchemy import (
+            inspect,
+        )
 
         return inspect(conn).get_view_names()
 
@@ -971,7 +1005,9 @@ def _transaction_test(self):
             if isinstance(self.pandasSQL, SQLiteDatabase):
                 trans.execute(stmt)
             else:
-                from sqlalchemy import text
+                from sqlalchemy import (
+                    text,
+                )
 
                 stmt = text(stmt)
                 trans.execute(stmt)
@@ -982,7 +1018,9 @@ class DummyException(Exception):
         # Make sure when transaction is rolled back, no rows get inserted
         ins_sql = "INSERT INTO test_trans (A,B) VALUES (1, 'blah')"
         if isinstance(self.pandasSQL, SQLDatabase):
-            from sqlalchemy import text
+            from sqlalchemy import (
+                text,
+            )
 
             ins_sql = text(ins_sql)
         try:
@@ -1368,7 +1406,9 @@ def test_get_schema_with_schema(self, test_frame1):
 
     def test_get_schema_dtypes(self):
         if self.mode == "sqlalchemy":
-            from sqlalchemy import Integer
+            from sqlalchemy import (
+                Integer,
+            )
 
             dtype = Integer
         else:
@@ -1509,8 +1549,12 @@ def test_read_sql_delegate(self):
         tm.assert_frame_equal(iris_frame1, iris_frame2)
 
     def test_not_reflect_all_tables(self):
-        from sqlalchemy import text
-        from sqlalchemy.engine import Engine
+        from sqlalchemy import (
+            text,
+        )
+        from sqlalchemy.engine import (
+            Engine,
+        )
 
         # create invalid table
         query_list = [
@@ -1547,7 +1591,9 @@ def test_warning_case_insensitive_table_name(self, test_frame1):
             test_frame1.to_sql("CaseSensitive", self.conn)
 
     def _get_index_columns(self, tbl_name):
-        from sqlalchemy.engine import reflection
+        from sqlalchemy.engine import (
+            reflection,
+        )
 
         insp = reflection.Inspector.from_engine(self.conn)
         ixs = insp.get_indexes("test_index_saved")
@@ -1555,7 +1601,9 @@ def _get_index_columns(self, tbl_name):
         return ixs
 
     def test_sqlalchemy_type_mapping(self):
-        from sqlalchemy import TIMESTAMP
+        from sqlalchemy import (
+            TIMESTAMP,
+        )
 
         # Test Timestamp objects (no datetime64 because of timezone) (GH9085)
         df = DataFrame(
@@ -1632,7 +1680,9 @@ def test_pg8000_sqlalchemy_passthrough_error(self):
 
     def test_query_by_text_obj(self):
         # WIP : GH10846
-        from sqlalchemy import text
+        from sqlalchemy import (
+            text,
+        )
 
         name_text = text("select * from iris where name=:name")
         iris_df = sql.read_sql(name_text, self.conn, params={"name": "Iris-versicolor"})
@@ -1795,7 +1845,9 @@ def test_to_sql_empty(self, test_frame1):
         self._to_sql_empty(test_frame1)
 
     def test_create_table(self):
-        from sqlalchemy import inspect
+        from sqlalchemy import (
+            inspect,
+        )
 
         temp_conn = self.connect()
         temp_frame = DataFrame(
@@ -1812,7 +1864,9 @@ def test_create_table(self):
             pandasSQL.drop_table("temp_frame")
 
     def test_drop_table(self):
-        from sqlalchemy import inspect
+        from sqlalchemy import (
+            inspect,
+        )
 
         temp_conn = self.connect()
         temp_frame = DataFrame(
@@ -2166,7 +2220,9 @@ def test_nan_string(self):
         tm.assert_frame_equal(result, df)
 
     def _get_index_columns(self, tbl_name):
-        from sqlalchemy import inspect
+        from sqlalchemy import (
+            inspect,
+        )
 
         insp = inspect(self.conn)
 
@@ -2184,8 +2240,12 @@ def test_get_schema_create_table(self, test_frame3):
         # Use a dataframe without a bool column, since MySQL converts bool to
         # TINYINT (which read_sql_table returns as an int and causes a dtype
         # mismatch)
-        from sqlalchemy import text
-        from sqlalchemy.engine import Engine
+        from sqlalchemy import (
+            text,
+        )
+        from sqlalchemy.engine import (
+            Engine,
+        )
 
         tbl = "test_get_schema_create_table"
         create_sql = sql.get_schema(test_frame3, tbl, con=self.conn)
@@ -2209,7 +2269,9 @@ def test_dtype(self):
             TEXT,
             String,
         )
-        from sqlalchemy.schema import MetaData
+        from sqlalchemy.schema import (
+            MetaData,
+        )
 
         cols = ["A", "B"]
         data = [(0.8, True), (0.9, None)]
@@ -2246,7 +2308,9 @@ def test_notna_dtype(self):
             Float,
             Integer,
         )
-        from sqlalchemy.schema import MetaData
+        from sqlalchemy.schema import (
+            MetaData,
+        )
 
         cols = {
             "Bool": Series([True, None]),
@@ -2274,7 +2338,9 @@ def test_double_precision(self):
             Float,
             Integer,
         )
-        from sqlalchemy.schema import MetaData
+        from sqlalchemy.schema import (
+            MetaData,
+        )
 
         V = 1.23456789101112131415
 
@@ -2316,7 +2382,9 @@ def test_double_precision(self):
     def test_connectable_issue_example(self):
         # This tests the example raised in issue
         # https://github.com/pandas-dev/pandas/issues/10104
-        from sqlalchemy.engine import Engine
+        from sqlalchemy.engine import (
+            Engine,
+        )
 
         def test_select(connection):
             query = "SELECT test_foo_data FROM test_foo_data"
@@ -2546,7 +2614,9 @@ def nullable_expected(self, storage, dtype_backend) -> DataFrame:
         if dtype_backend == "pyarrow":
             pa = pytest.importorskip("pyarrow")
 
-            from pandas.arrays import ArrowExtensionArray
+            from pandas.arrays import (
+                ArrowExtensionArray,
+            )
 
             df = DataFrame(
                 {
@@ -2752,7 +2822,9 @@ def setup_driver(cls):
         cls.driver = "psycopg2"
 
     def test_schema_support(self):
-        from sqlalchemy.engine import Engine
+        from sqlalchemy.engine import (
+            Engine,
+        )
 
         # only test this for postgresql (schema's not supported in
         # mysql/sqlite)
diff --git a/pandas/tests/io/test_stata.py b/pandas/tests/io/test_stata.py
index 75e9f7b744caa..ec02dafb56aea 100644
--- a/pandas/tests/io/test_stata.py
+++ b/pandas/tests/io/test_stata.py
@@ -1,6 +1,8 @@
 import bz2
 import datetime as dt
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import gzip
 import io
 import os
@@ -12,7 +14,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_categorical_dtype
+from pandas.core.dtypes.common import (
+    is_categorical_dtype,
+)
 
 import pandas as pd
 import pandas._testing as tm
@@ -20,9 +24,13 @@
     DataFrame,
     Series,
 )
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
-from pandas.io.parsers import read_csv
+from pandas.io.parsers import (
+    read_csv,
+)
 from pandas.io.stata import (
     CategoricalConversionWarning,
     InvalidColumnName,
diff --git a/pandas/tests/io/test_user_agent.py b/pandas/tests/io/test_user_agent.py
index 3b552805198b5..d8cda9d413642 100644
--- a/pandas/tests/io/test_user_agent.py
+++ b/pandas/tests/io/test_user_agent.py
@@ -3,7 +3,9 @@
 """
 import gzip
 import http.server
-from io import BytesIO
+from io import (
+    BytesIO,
+)
 import multiprocessing
 import socket
 import time
@@ -11,7 +13,9 @@
 
 import pytest
 
-from pandas.compat import is_ci_environment
+from pandas.compat import (
+    is_ci_environment,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/io/xml/test_to_xml.py b/pandas/tests/io/xml/test_to_xml.py
index 5203506683be7..341438c61db20 100644
--- a/pandas/tests/io/xml/test_to_xml.py
+++ b/pandas/tests/io/xml/test_to_xml.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from io import (
     BytesIO,
@@ -17,10 +19,16 @@
     Index,
 )
 import pandas._testing as tm
-from pandas.tests.io.test_compression import _compression_to_extension
+from pandas.tests.io.test_compression import (
+    _compression_to_extension,
+)
 
-from pandas.io.common import get_handle
-from pandas.io.xml import read_xml
+from pandas.io.common import (
+    get_handle,
+)
+from pandas.io.xml import (
+    read_xml,
+)
 
 # CHECKLIST
 
@@ -1018,7 +1026,9 @@ def test_stylesheet_buffered_reader(datapath, mode):
 
 @td.skip_if_no("lxml")
 def test_stylesheet_wrong_path():
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     xsl = os.path.join("data", "xml", "row_field_output.xslt")
 
@@ -1032,7 +1042,9 @@ def test_stylesheet_wrong_path():
 @td.skip_if_no("lxml")
 @pytest.mark.parametrize("val", ["", b""])
 def test_empty_string_stylesheet(val):
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     msg = "|".join(
         [
@@ -1049,7 +1061,9 @@ def test_empty_string_stylesheet(val):
 
 @td.skip_if_no("lxml")
 def test_incorrect_xsl_syntax():
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     xsl = """\
 <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
@@ -1078,7 +1092,9 @@ def test_incorrect_xsl_syntax():
 
 @td.skip_if_no("lxml")
 def test_incorrect_xsl_eval():
-    from lxml.etree import XSLTParseError
+    from lxml.etree import (
+        XSLTParseError,
+    )
 
     xsl = """\
 <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
@@ -1107,7 +1123,9 @@ def test_incorrect_xsl_eval():
 
 @td.skip_if_no("lxml")
 def test_incorrect_xsl_apply():
-    from lxml.etree import XSLTApplyError
+    from lxml.etree import (
+        XSLTApplyError,
+    )
 
     xsl = """\
 <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
diff --git a/pandas/tests/io/xml/test_xml.py b/pandas/tests/io/xml/test_xml.py
index b73116519178e..ae7f35324237b 100644
--- a/pandas/tests/io/xml/test_xml.py
+++ b/pandas/tests/io/xml/test_xml.py
@@ -1,21 +1,37 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from io import (
     BytesIO,
     StringIO,
 )
-from lzma import LZMAError
+from lzma import (
+    LZMAError,
+)
 import os
-from tarfile import ReadError
-from urllib.error import HTTPError
-from xml.etree.ElementTree import ParseError
-from zipfile import BadZipFile
+from tarfile import (
+    ReadError,
+)
+from urllib.error import (
+    HTTPError,
+)
+from xml.etree.ElementTree import (
+    ParseError,
+)
+from zipfile import (
+    BadZipFile,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import is_ci_environment
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat import (
+    is_ci_environment,
+)
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 from pandas.errors import (
     EmptyDataError,
     ParserError,
@@ -34,8 +50,12 @@
     StringArray,
 )
 
-from pandas.io.common import get_handle
-from pandas.io.xml import read_xml
+from pandas.io.common import (
+    get_handle,
+)
+from pandas.io.xml import (
+    read_xml,
+)
 
 # CHECK LIST
 
@@ -477,7 +497,9 @@ def test_file_handle_close(datapath, parser):
 @td.skip_if_no("lxml")
 @pytest.mark.parametrize("val", ["", b""])
 def test_empty_string_lxml(val):
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     msg = "|".join(
         [
@@ -498,7 +520,9 @@ def test_empty_string_etree(val):
 
 @td.skip_if_no("lxml")
 def test_wrong_file_path_lxml():
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     filename = os.path.join("data", "html", "books.xml")
 
@@ -571,7 +595,9 @@ def test_bad_xpath_etree(datapath):
 
 @td.skip_if_no("lxml")
 def test_bad_xpath_lxml(datapath):
-    from lxml.etree import XPathEvalError
+    from lxml.etree import (
+        XPathEvalError,
+    )
 
     filename = datapath("io", "data", "xml", "books.xml")
     with pytest.raises(XPathEvalError, match=("Invalid expression")):
@@ -685,7 +711,9 @@ def test_missing_prefix_definition_etree(datapath):
 
 @td.skip_if_no("lxml")
 def test_missing_prefix_definition_lxml(datapath):
-    from lxml.etree import XPathEvalError
+    from lxml.etree import (
+        XPathEvalError,
+    )
 
     filename = datapath("io", "data", "xml", "cta_rail_lines.kml")
     with pytest.raises(XPathEvalError, match=("Undefined namespace prefix")):
@@ -1237,7 +1265,9 @@ def test_style_charset():
 
 @td.skip_if_no("lxml")
 def test_not_stylesheet(datapath):
-    from lxml.etree import XSLTParseError
+    from lxml.etree import (
+        XSLTParseError,
+    )
 
     kml = datapath("io", "data", "xml", "cta_rail_lines.kml")
     xsl = datapath("io", "data", "xml", "books.xml")
@@ -1248,7 +1278,9 @@ def test_not_stylesheet(datapath):
 
 @td.skip_if_no("lxml")
 def test_incorrect_xsl_syntax(datapath):
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     xsl = """\
 <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
@@ -1280,7 +1312,9 @@ def test_incorrect_xsl_syntax(datapath):
 
 @td.skip_if_no("lxml")
 def test_incorrect_xsl_eval(datapath):
-    from lxml.etree import XSLTParseError
+    from lxml.etree import (
+        XSLTParseError,
+    )
 
     xsl = """\
 <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
@@ -1310,7 +1344,9 @@ def test_incorrect_xsl_eval(datapath):
 
 @td.skip_if_no("lxml")
 def test_incorrect_xsl_apply(datapath):
-    from lxml.etree import XSLTApplyError
+    from lxml.etree import (
+        XSLTApplyError,
+    )
 
     xsl = """\
 <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
@@ -1332,7 +1368,9 @@ def test_incorrect_xsl_apply(datapath):
 
 @td.skip_if_no("lxml")
 def test_wrong_stylesheet():
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     kml = os.path.join("data", "xml", "cta_rail_lines.kml")
     xsl = os.path.join("data", "xml", "flatten.xsl")
@@ -1376,7 +1414,9 @@ def test_stylesheet_with_etree():
 @td.skip_if_no("lxml")
 @pytest.mark.parametrize("val", ["", b""])
 def test_empty_stylesheet(val):
-    from lxml.etree import XMLSyntaxError
+    from lxml.etree import (
+        XMLSyntaxError,
+    )
 
     kml = os.path.join("data", "xml", "cta_rail_lines.kml")
 
@@ -1879,7 +1919,9 @@ def test_read_xml_nullable_dtypes(parser, string_storage, dtype_backend):
 
     if dtype_backend == "pyarrow":
         pa = pytest.importorskip("pyarrow")
-        from pandas.arrays import ArrowExtensionArray
+        from pandas.arrays import (
+            ArrowExtensionArray,
+        )
 
         expected = DataFrame(
             {
diff --git a/pandas/tests/io/xml/test_xml_dtypes.py b/pandas/tests/io/xml/test_xml_dtypes.py
index 17d1e7e00653b..fce1878f0de69 100644
--- a/pandas/tests/io/xml/test_xml_dtypes.py
+++ b/pandas/tests/io/xml/test_xml_dtypes.py
@@ -1,8 +1,12 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import pytest
 
-from pandas.errors import ParserWarning
+from pandas.errors import (
+    ParserWarning,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -12,7 +16,9 @@
 )
 import pandas._testing as tm
 
-from pandas.io.xml import read_xml
+from pandas.io.xml import (
+    read_xml,
+)
 
 
 @pytest.fixture(params=[pytest.param("lxml", marks=td.skip_if_no("lxml")), "etree"])
diff --git a/pandas/tests/libs/test_hashtable.py b/pandas/tests/libs/test_hashtable.py
index 4a5d5e0c85a09..24c17b5b5a496 100644
--- a/pandas/tests/libs/test_hashtable.py
+++ b/pandas/tests/libs/test_hashtable.py
@@ -1,17 +1,25 @@
-from contextlib import contextmanager
+from contextlib import (
+    contextmanager,
+)
 import re
 import struct
 import tracemalloc
-from typing import Generator
+from typing import (
+    Generator,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs import hashtable as ht
+from pandas._libs import (
+    hashtable as ht,
+)
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.algorithms import isin
+from pandas.core.algorithms import (
+    isin,
+)
 
 
 @contextmanager
diff --git a/pandas/tests/libs/test_join.py b/pandas/tests/libs/test_join.py
index ba2e6e7130929..1e1bb26eb01e8 100644
--- a/pandas/tests/libs/test_join.py
+++ b/pandas/tests/libs/test_join.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs import join as libjoin
+from pandas._libs import (
+    join as libjoin,
+)
 from pandas._libs.join import (
     inner_join,
     left_outer_join,
diff --git a/pandas/tests/libs/test_lib.py b/pandas/tests/libs/test_lib.py
index 383e1b81e17a7..7f6e3991650ad 100644
--- a/pandas/tests/libs/test_lib.py
+++ b/pandas/tests/libs/test_lib.py
@@ -7,7 +7,9 @@
     writers as libwriters,
 )
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/plotting/common.py b/pandas/tests/plotting/common.py
index 921f2b3ef3368..19648cfee75da 100644
--- a/pandas/tests/plotting/common.py
+++ b/pandas/tests/plotting/common.py
@@ -2,7 +2,9 @@
 Module consolidating common testing functions for checking plotting.
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     TYPE_CHECKING,
@@ -11,17 +13,25 @@
 
 import numpy as np
 
-from pandas.util._decorators import cache_readonly
+from pandas.util._decorators import (
+    cache_readonly,
+)
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.api import is_list_like
+from pandas.core.dtypes.api import (
+    is_list_like,
+)
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 if TYPE_CHECKING:
-    from matplotlib.axes import Axes
+    from matplotlib.axes import (
+        Axes,
+    )
 
 
 @td.skip_if_no_mpl
@@ -46,7 +56,9 @@ def plt(self):
 
     @cache_readonly
     def colorconverter(self):
-        from matplotlib import colors
+        from matplotlib import (
+            colors,
+        )
 
         return colors.colorConverter
 
@@ -126,7 +138,9 @@ def _check_visible(self, collections, visible=True):
         visible : bool
             expected visibility
         """
-        from matplotlib.collections import Collection
+        from matplotlib.collections import (
+            Collection,
+        )
 
         if not isinstance(collections, Collection) and not is_list_like(collections):
             collections = [collections]
@@ -182,7 +196,9 @@ def _check_colors(
             LineCollection,
             PolyCollection,
         )
-        from matplotlib.lines import Line2D
+        from matplotlib.lines import (
+            Line2D,
+        )
 
         conv = self.colorconverter
         if linecolors is not None:
@@ -260,7 +276,9 @@ def _check_ticks_props(
         yrot : number
             expected yticks rotation
         """
-        from matplotlib.ticker import NullFormatter
+        from matplotlib.ticker import (
+            NullFormatter,
+        )
 
         axes = self._flatten_visible(axes)
         for ax in axes:
@@ -322,7 +340,9 @@ def _check_axes_shape(self, axes, axes_num=None, layout=None, figsize=None):
         figsize : tuple
             expected figsize. default is matplotlib default
         """
-        from pandas.plotting._matplotlib.tools import flatten_axes
+        from pandas.plotting._matplotlib.tools import (
+            flatten_axes,
+        )
 
         if figsize is None:
             figsize = (6.4, 4.8)
@@ -362,7 +382,9 @@ def _flatten_visible(self, axes):
         axes : matplotlib Axes object, or its list-like
 
         """
-        from pandas.plotting._matplotlib.tools import flatten_axes
+        from pandas.plotting._matplotlib.tools import (
+            flatten_axes,
+        )
 
         axes = flatten_axes(axes)
         axes = [ax for ax in axes if ax.get_visible()]
@@ -414,7 +436,9 @@ def _check_box_return_type(
             Intended to be checked by calling from ``boxplot``.
             Normal ``plot`` doesn't attach ``ax.title``, it must be disabled.
         """
-        from matplotlib.axes import Axes
+        from matplotlib.axes import (
+            Axes,
+        )
 
         types = {"dict": dict, "axes": Axes, "both": tuple}
         if expected_keys is None:
diff --git a/pandas/tests/plotting/frame/test_frame.py b/pandas/tests/plotting/frame/test_frame.py
index 16be54124bda3..008f0619558a4 100644
--- a/pandas/tests/plotting/frame/test_frame.py
+++ b/pandas/tests/plotting/frame/test_frame.py
@@ -15,7 +15,9 @@
 
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.api import is_list_like
+from pandas.core.dtypes.api import (
+    is_list_like,
+)
 
 import pandas as pd
 from pandas import (
@@ -33,7 +35,9 @@
     _check_plot_works,
 )
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 @td.skip_if_no_mpl
@@ -945,7 +949,9 @@ def test_kde_missing_vals(self):
         _check_plot_works(df.plot, kind="kde")
 
     def test_hist_df(self):
-        from matplotlib.patches import Rectangle
+        from matplotlib.patches import (
+            Rectangle,
+        )
 
         df = DataFrame(np.random.randn(100, 4))
         series = df[0]
@@ -1812,7 +1818,9 @@ def test_memory_leak(self):
 
     def test_df_gridspec_patterns(self):
         # GH 10819
-        from matplotlib import gridspec
+        from matplotlib import (
+            gridspec,
+        )
         import matplotlib.pyplot as plt
 
         ts = Series(np.random.randn(10), index=date_range("1/1/2000", periods=10))
@@ -1949,7 +1957,9 @@ def test_plain_axes(self):
 
         # other examples
         fig, ax = self.plt.subplots()
-        from mpl_toolkits.axes_grid1 import make_axes_locatable
+        from mpl_toolkits.axes_grid1 import (
+            make_axes_locatable,
+        )
 
         divider = make_axes_locatable(ax)
         cax = divider.append_axes("right", size="5%", pad=0.05)
@@ -1957,7 +1967,9 @@ def test_plain_axes(self):
         Series(np.random.rand(10)).plot(ax=cax)
 
         fig, ax = self.plt.subplots()
-        from mpl_toolkits.axes_grid1.inset_locator import inset_axes
+        from mpl_toolkits.axes_grid1.inset_locator import (
+            inset_axes,
+        )
 
         iax = inset_axes(ax, width="30%", height=1.0, loc=3)
         Series(np.random.rand(10)).plot(ax=ax)
diff --git a/pandas/tests/plotting/frame/test_frame_color.py b/pandas/tests/plotting/frame/test_frame_color.py
index a2ab72ecb690e..7dbbead5c6caf 100644
--- a/pandas/tests/plotting/frame/test_frame_color.py
+++ b/pandas/tests/plotting/frame/test_frame_color.py
@@ -7,13 +7,17 @@
 import pandas.util._test_decorators as td
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 from pandas.tests.plotting.common import (
     TestPlotBase,
     _check_plot_works,
 )
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 
 @td.skip_if_no_mpl
@@ -96,7 +100,9 @@ def test_bar_colors(self):
         self._check_colors(ax.patches[::5], facecolors=custom_colors)
         tm.close()
 
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         # Test str -> colormap functionality
         ax = df.plot.bar(colormap="jet")
@@ -235,7 +241,9 @@ def test_scatter_colorbar_different_cmap(self):
         assert ax.collections[1].cmap.name == "magma"
 
     def test_line_colors(self):
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         custom_colors = "rgcby"
         df = DataFrame(np.random.randn(5, 5))
@@ -285,7 +293,9 @@ def test_dont_modify_colors(self):
 
     def test_line_colors_and_styles_subplots(self):
         # GH 9894
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         default_colors = self._unpack_cycler(self.plt.rcParams)
 
@@ -352,8 +362,12 @@ def test_line_colors_and_styles_subplots(self):
         tm.close()
 
     def test_area_colors(self):
-        from matplotlib import cm
-        from matplotlib.collections import PolyCollection
+        from matplotlib import (
+            cm,
+        )
+        from matplotlib.collections import (
+            PolyCollection,
+        )
 
         custom_colors = "rgcby"
         df = DataFrame(np.random.rand(5, 5))
@@ -408,7 +422,9 @@ def test_hist_colors(self):
         self._check_colors(ax.patches[::10], facecolors=custom_colors)
         tm.close()
 
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         # Test str -> colormap functionality
         ax = df.plot.hist(colormap="jet")
@@ -431,7 +447,9 @@ def test_hist_colors(self):
 
     @td.skip_if_no_scipy
     def test_kde_colors(self):
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         custom_colors = "rgcby"
         df = DataFrame(np.random.rand(5, 5))
@@ -451,7 +469,9 @@ def test_kde_colors(self):
 
     @td.skip_if_no_scipy
     def test_kde_colors_and_styles_subplots(self):
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         default_colors = self._unpack_cycler(self.plt.rcParams)
 
@@ -556,7 +576,9 @@ def _check_colors(bp, box_c, whiskers_c, medians_c, caps_c="k", fliers_c=None):
         _check_colors(bp, default_colors[0], "c", "m", default_colors[0])
         tm.close()
 
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
         # Test str -> colormap functionality
         bp = df.plot.box(colormap="jet", return_type="dict")
diff --git a/pandas/tests/plotting/frame/test_frame_groupby.py b/pandas/tests/plotting/frame/test_frame_groupby.py
index 9c148645966ad..728c8c36b4a21 100644
--- a/pandas/tests/plotting/frame/test_frame_groupby.py
+++ b/pandas/tests/plotting/frame/test_frame_groupby.py
@@ -4,8 +4,12 @@
 
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame
-from pandas.tests.plotting.common import TestPlotBase
+from pandas import (
+    DataFrame,
+)
+from pandas.tests.plotting.common import (
+    TestPlotBase,
+)
 
 
 @td.skip_if_no_mpl
diff --git a/pandas/tests/plotting/frame/test_frame_legend.py b/pandas/tests/plotting/frame/test_frame_legend.py
index bad42ebc85cc8..a55fc16662c1d 100644
--- a/pandas/tests/plotting/frame/test_frame_legend.py
+++ b/pandas/tests/plotting/frame/test_frame_legend.py
@@ -7,8 +7,12 @@
     DataFrame,
     date_range,
 )
-from pandas.tests.plotting.common import TestPlotBase
-from pandas.util.version import Version
+from pandas.tests.plotting.common import (
+    TestPlotBase,
+)
+from pandas.util.version import (
+    Version,
+)
 
 
 class TestFrameLegend(TestPlotBase):
@@ -21,8 +25,12 @@ class TestFrameLegend(TestPlotBase):
     def test_mixed_yerr(self):
         # https://github.com/pandas-dev/pandas/issues/39522
         import matplotlib as mpl
-        from matplotlib.collections import LineCollection
-        from matplotlib.lines import Line2D
+        from matplotlib.collections import (
+            LineCollection,
+        )
+        from matplotlib.lines import (
+            Line2D,
+        )
 
         df = DataFrame([{"x": 1, "a": 1, "b": 1}, {"x": 2, "a": 2, "b": 3}])
 
diff --git a/pandas/tests/plotting/frame/test_frame_subplots.py b/pandas/tests/plotting/frame/test_frame_subplots.py
index 4f55f9504f0db..0894f1e8afa21 100644
--- a/pandas/tests/plotting/frame/test_frame_subplots.py
+++ b/pandas/tests/plotting/frame/test_frame_subplots.py
@@ -6,8 +6,12 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_linux
-from pandas.compat.numpy import np_version_gte1p24
+from pandas.compat import (
+    is_platform_linux,
+)
+from pandas.compat.numpy import (
+    np_version_gte1p24,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -17,9 +21,13 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.plotting.common import TestPlotBase
+from pandas.tests.plotting.common import (
+    TestPlotBase,
+)
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 @td.skip_if_no_mpl
diff --git a/pandas/tests/plotting/frame/test_hist_box_by.py b/pandas/tests/plotting/frame/test_hist_box_by.py
index 999118144b58d..ec6af5fff573b 100644
--- a/pandas/tests/plotting/frame/test_hist_box_by.py
+++ b/pandas/tests/plotting/frame/test_hist_box_by.py
@@ -5,7 +5,9 @@
 
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 from pandas.tests.plotting.common import (
     TestPlotBase,
diff --git a/pandas/tests/plotting/test_boxplot_method.py b/pandas/tests/plotting/test_boxplot_method.py
index 29276eba09346..6f08b1ea482aa 100644
--- a/pandas/tests/plotting/test_boxplot_method.py
+++ b/pandas/tests/plotting/test_boxplot_method.py
@@ -22,7 +22,9 @@
     _check_plot_works,
 )
 
-from pandas.io.formats.printing import pprint_thing
+from pandas.io.formats.printing import (
+    pprint_thing,
+)
 
 
 @td.skip_if_no_mpl
diff --git a/pandas/tests/plotting/test_common.py b/pandas/tests/plotting/test_common.py
index d4624cfc74872..8cb5238bc355f 100644
--- a/pandas/tests/plotting/test_common.py
+++ b/pandas/tests/plotting/test_common.py
@@ -2,7 +2,9 @@
 
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 from pandas.tests.plotting.common import (
     TestPlotBase,
     _check_plot_works,
diff --git a/pandas/tests/plotting/test_converter.py b/pandas/tests/plotting/test_converter.py
index 8ab15abeca7fd..b2851e27a549c 100644
--- a/pandas/tests/plotting/test_converter.py
+++ b/pandas/tests/plotting/test_converter.py
@@ -33,7 +33,9 @@
 )
 
 try:
-    from pandas.plotting._matplotlib import converter
+    from pandas.plotting._matplotlib import (
+        converter,
+    )
 except ImportError:
     # try / except, rather than skip, to avoid internal refactoring
     # causing an improper skip
diff --git a/pandas/tests/plotting/test_datetimelike.py b/pandas/tests/plotting/test_datetimelike.py
index 8fc4170a8562c..7452878e7909e 100644
--- a/pandas/tests/plotting/test_datetimelike.py
+++ b/pandas/tests/plotting/test_datetimelike.py
@@ -36,10 +36,16 @@
     PeriodIndex,
     period_range,
 )
-from pandas.core.indexes.timedeltas import timedelta_range
-from pandas.tests.plotting.common import TestPlotBase
+from pandas.core.indexes.timedeltas import (
+    timedelta_range,
+)
+from pandas.tests.plotting.common import (
+    TestPlotBase,
+)
 
-from pandas.tseries.offsets import WeekOfMonth
+from pandas.tseries.offsets import (
+    WeekOfMonth,
+)
 
 
 @td.skip_if_no_mpl
@@ -149,7 +155,9 @@ def test_high_freq(self, freq):
         _check_plot_works(ser.plot, ax=ax)
 
     def test_get_datevalue(self):
-        from pandas.plotting._matplotlib.converter import get_datevalue
+        from pandas.plotting._matplotlib.converter import (
+            get_datevalue,
+        )
 
         assert get_datevalue(None, "D") is None
         assert get_datevalue(1987, "A") == 1987
@@ -1243,7 +1251,9 @@ def test_mpl_nopandas(self):
 
     def test_irregular_ts_shared_ax_xlim(self):
         # GH 2960
-        from pandas.plotting._matplotlib.converter import DatetimeConverter
+        from pandas.plotting._matplotlib.converter import (
+            DatetimeConverter,
+        )
 
         ts = tm.makeTimeSeries()[:20]
         ts_irregular = ts[[1, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 17, 18]]
@@ -1307,7 +1317,9 @@ def test_secondary_y_mixed_freq_ts_xlim(self):
 
     def test_secondary_y_irregular_ts_xlim(self):
         # GH 3490 - irregular-timeseries with secondary y
-        from pandas.plotting._matplotlib.converter import DatetimeConverter
+        from pandas.plotting._matplotlib.converter import (
+            DatetimeConverter,
+        )
 
         ts = tm.makeTimeSeries()[:20]
         ts_irregular = ts[[1, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 17, 18]]
diff --git a/pandas/tests/plotting/test_groupby.py b/pandas/tests/plotting/test_groupby.py
index 8cde3062d09f9..e7fdefb3e656b 100644
--- a/pandas/tests/plotting/test_groupby.py
+++ b/pandas/tests/plotting/test_groupby.py
@@ -12,7 +12,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.tests.plotting.common import TestPlotBase
+from pandas.tests.plotting.common import (
+    TestPlotBase,
+)
 
 
 @td.skip_if_no_mpl
diff --git a/pandas/tests/plotting/test_hist_method.py b/pandas/tests/plotting/test_hist_method.py
index 04228bde1c6b9..2be06c5669a83 100644
--- a/pandas/tests/plotting/test_hist_method.py
+++ b/pandas/tests/plotting/test_hist_method.py
@@ -127,7 +127,9 @@ def test_hist_by_no_extra_plots(self, hist_df):
         assert len(self.plt.get_fignums()) == 1
 
     def test_plot_fails_when_ax_differs_from_figure(self, ts):
-        from pylab import figure
+        from pylab import (
+            figure,
+        )
 
         fig1 = figure()
         fig2 = figure()
@@ -233,7 +235,9 @@ def test_hist_kde_color(self, ts):
 class TestDataFramePlots(TestPlotBase):
     @pytest.mark.slow
     def test_hist_df_legacy(self, hist_df):
-        from matplotlib.patches import Rectangle
+        from matplotlib.patches import (
+            Rectangle,
+        )
 
         with tm.assert_produces_warning(UserWarning, check_stacklevel=False):
             _check_plot_works(hist_df.hist)
@@ -570,7 +574,9 @@ def test_hist_with_nans_and_weights(self):
         no_nan_df = DataFrame([[0.4, 0.2, 0.3], [0.7, 0.8, 0.9]], columns=list("abc"))
         no_nan_weights = np.array([[0.3, 0.25, 0.25], [0.45, 0.45, 0.45]])
 
-        from matplotlib.patches import Rectangle
+        from matplotlib.patches import (
+            Rectangle,
+        )
 
         _, ax0 = self.plt.subplots()
         df.plot.hist(ax=ax0, weights=weights)
@@ -593,9 +599,13 @@ def test_hist_with_nans_and_weights(self):
 @td.skip_if_no_mpl
 class TestDataFrameGroupByPlots(TestPlotBase):
     def test_grouped_hist_legacy(self):
-        from matplotlib.patches import Rectangle
+        from matplotlib.patches import (
+            Rectangle,
+        )
 
-        from pandas.plotting._matplotlib.hist import _grouped_hist
+        from pandas.plotting._matplotlib.hist import (
+            _grouped_hist,
+        )
 
         df = DataFrame(np.random.randn(500, 1), columns=["A"])
         df["B"] = to_datetime(
diff --git a/pandas/tests/plotting/test_misc.py b/pandas/tests/plotting/test_misc.py
index a89956d1c14c8..bb785413c38ee 100644
--- a/pandas/tests/plotting/test_misc.py
+++ b/pandas/tests/plotting/test_misc.py
@@ -66,7 +66,9 @@ def test_get_accessor_args():
 @td.skip_if_no_mpl
 class TestSeriesPlots(TestPlotBase):
     def test_autocorrelation_plot(self):
-        from pandas.plotting import autocorrelation_plot
+        from pandas.plotting import (
+            autocorrelation_plot,
+        )
 
         ser = tm.makeTimeSeries(name="ts")
         # Ensure no UserWarning when making plot
@@ -79,13 +81,17 @@ def test_autocorrelation_plot(self):
 
     @pytest.mark.parametrize("kwargs", [{}, {"lag": 5}])
     def test_lag_plot(self, kwargs):
-        from pandas.plotting import lag_plot
+        from pandas.plotting import (
+            lag_plot,
+        )
 
         ser = tm.makeTimeSeries(name="ts")
         _check_plot_works(lag_plot, series=ser, **kwargs)
 
     def test_bootstrap_plot(self):
-        from pandas.plotting import bootstrap_plot
+        from pandas.plotting import (
+            bootstrap_plot,
+        )
 
         ser = tm.makeTimeSeries(name="ts")
         _check_plot_works(bootstrap_plot, series=ser, size=10)
@@ -136,9 +142,13 @@ def test_scatter_matrix_axis(self, pass_axis):
 
     @pytest.mark.slow
     def test_andrews_curves(self, iris):
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
-        from pandas.plotting import andrews_curves
+        from pandas.plotting import (
+            andrews_curves,
+        )
 
         df = iris
         # Ensure no UserWarning when making plot
@@ -213,9 +223,13 @@ def test_andrews_curves(self, iris):
 
     @pytest.mark.slow
     def test_parallel_coordinates(self, iris):
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
-        from pandas.plotting import parallel_coordinates
+        from pandas.plotting import (
+            parallel_coordinates,
+        )
 
         df = iris
 
@@ -262,7 +276,9 @@ def test_parallel_coordinates(self, iris):
     @pytest.mark.filterwarnings("ignore:Attempting to set:UserWarning")
     def test_parallel_coordinates_with_sorted_labels(self):
         """For #15908"""
-        from pandas.plotting import parallel_coordinates
+        from pandas.plotting import (
+            parallel_coordinates,
+        )
 
         df = DataFrame(
             {
@@ -286,9 +302,13 @@ def test_parallel_coordinates_with_sorted_labels(self):
             assert prev[1] < nxt[1] and prev[0] < nxt[0]
 
     def test_radviz(self, iris):
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
-        from pandas.plotting import radviz
+        from pandas.plotting import (
+            radviz,
+        )
 
         df = iris
         # Ensure no UserWarning when making plot
@@ -367,14 +387,18 @@ def test_get_standard_colors_random_seed(self):
         assert rand1 != rand2
 
         # Make sure it produces the same colors every time it's called
-        from pandas.plotting._matplotlib.style import get_standard_colors
+        from pandas.plotting._matplotlib.style import (
+            get_standard_colors,
+        )
 
         color1 = get_standard_colors(1, color_type="random")
         color2 = get_standard_colors(1, color_type="random")
         assert color1 == color2
 
     def test_get_standard_colors_default_num_colors(self):
-        from pandas.plotting._matplotlib.style import get_standard_colors
+        from pandas.plotting._matplotlib.style import (
+            get_standard_colors,
+        )
 
         # Make sure the default color_types returns the specified amount
         color1 = get_standard_colors(1, color_type="default")
@@ -405,9 +429,13 @@ def test_get_standard_colors_no_appending(self):
 
         # Make sure not to add more colors so that matplotlib can cycle
         # correctly.
-        from matplotlib import cm
+        from matplotlib import (
+            cm,
+        )
 
-        from pandas.plotting._matplotlib.style import get_standard_colors
+        from pandas.plotting._matplotlib.style import (
+            get_standard_colors,
+        )
 
         color_before = cm.gnuplot(range(5))
         color_after = get_standard_colors(1, color=color_before)
@@ -442,7 +470,9 @@ def test_dictionary_color(self):
     def test_bar_plot(self):
         # GH38947
         # Test bar plot with string and int index
-        from matplotlib.text import Text
+        from matplotlib.text import (
+            Text,
+        )
 
         expected = [Text(0, 0, "0"), Text(1, 0, "Total")]
 
@@ -461,7 +491,9 @@ def test_bar_plot(self):
     def test_barh_plot_labels_mixed_integer_string(self):
         # GH39126
         # Test barh plot with string and integer at the same column
-        from matplotlib.text import Text
+        from matplotlib.text import (
+            Text,
+        )
 
         df = DataFrame([{"word": 1, "value": 0}, {"word": "knowledg", "value": 2}])
         plot_barh = df.plot.barh(x="word", legend=None)
@@ -598,7 +630,9 @@ def test_plot_bar_axis_units_timestamp_conversion(self):
     def test_bar_plt_xaxis_intervalrange(self):
         # GH 38969
         # Ensure IntervalIndex x-axis produces a bar plot as expected
-        from matplotlib.text import Text
+        from matplotlib.text import (
+            Text,
+        )
 
         expected = [Text(0, 0, "([0, 1],)"), Text(1, 0, "([1, 2],)")]
         s = Series(
diff --git a/pandas/tests/plotting/test_series.py b/pandas/tests/plotting/test_series.py
index d21c42e3eeaf9..b6752e2e7de7a 100644
--- a/pandas/tests/plotting/test_series.py
+++ b/pandas/tests/plotting/test_series.py
@@ -1,12 +1,20 @@
 """ Test cases for Series.plot """
-from datetime import datetime
-from itertools import chain
+from datetime import (
+    datetime,
+)
+from itertools import (
+    chain,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_linux
-from pandas.compat.numpy import np_version_gte1p24
+from pandas.compat import (
+    is_platform_linux,
+)
+from pandas.compat.numpy import (
+    np_version_gte1p24,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -308,7 +316,9 @@ def test_rotation(self):
         self._check_ticks_props(axes, xrot=30)
 
     def test_irregular_datetime(self):
-        from pandas.plotting._matplotlib.converter import DatetimeConverter
+        from pandas.plotting._matplotlib.converter import (
+            DatetimeConverter,
+        )
 
         rng = date_range("1/1/2000", "3/1/2000")
         rng = rng[[0, 1, 2, 3, 5, 9, 10, 11, 12]]
@@ -637,7 +647,9 @@ def test_series_grid_settings(self):
 
     @pytest.mark.parametrize("c", ["r", "red", "green", "#FF0000"])
     def test_standard_colors(self, c):
-        from pandas.plotting._matplotlib.style import get_standard_colors
+        from pandas.plotting._matplotlib.style import (
+            get_standard_colors,
+        )
 
         result = get_standard_colors(1, color=c)
         assert result == [c]
@@ -652,9 +664,13 @@ def test_standard_colors(self, c):
         assert result == [c] * 3
 
     def test_standard_colors_all(self):
-        from matplotlib import colors
+        from matplotlib import (
+            colors,
+        )
 
-        from pandas.plotting._matplotlib.style import get_standard_colors
+        from pandas.plotting._matplotlib.style import (
+            get_standard_colors,
+        )
 
         # multiple colors like mediumaquamarine
         for c in colors.cnames:
@@ -729,7 +745,9 @@ def test_xtick_barPlot(self):
 
     def test_custom_business_day_freq(self):
         # GH7222
-        from pandas.tseries.offsets import CustomBusinessDay
+        from pandas.tseries.offsets import (
+            CustomBusinessDay,
+        )
 
         s = Series(
             range(100, 121),
diff --git a/pandas/tests/plotting/test_style.py b/pandas/tests/plotting/test_style.py
index 665bda15724fd..dc624442c68ce 100644
--- a/pandas/tests/plotting/test_style.py
+++ b/pandas/tests/plotting/test_style.py
@@ -1,9 +1,13 @@
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 
 pytest.importorskip("matplotlib")
-from pandas.plotting._matplotlib.style import get_standard_colors
+from pandas.plotting._matplotlib.style import (
+    get_standard_colors,
+)
 
 
 class TestGetStandardColors:
@@ -19,7 +23,9 @@ class TestGetStandardColors:
     )
     def test_default_colors_named_from_prop_cycle(self, num_colors, expected):
         import matplotlib as mpl
-        from matplotlib.pyplot import cycler
+        from matplotlib.pyplot import (
+            cycler,
+        )
 
         mpl_params = {
             "axes.prop_cycle": cycler(color=["red", "green", "blue"]),
@@ -40,7 +46,9 @@ def test_default_colors_named_from_prop_cycle(self, num_colors, expected):
     )
     def test_default_colors_named_from_prop_cycle_string(self, num_colors, expected):
         import matplotlib as mpl
-        from matplotlib.pyplot import cycler
+        from matplotlib.pyplot import (
+            cycler,
+        )
 
         mpl_params = {
             "axes.prop_cycle": cycler(color="bgry"),
diff --git a/pandas/tests/reductions/test_reductions.py b/pandas/tests/reductions/test_reductions.py
index 5fa341c9eb74a..8f06beef95e26 100644
--- a/pandas/tests/reductions/test_reductions.py
+++ b/pandas/tests/reductions/test_reductions.py
@@ -26,7 +26,9 @@
     to_timedelta,
 )
 import pandas._testing as tm
-from pandas.core import nanops
+from pandas.core import (
+    nanops,
+)
 
 
 def get_objs():
diff --git a/pandas/tests/reductions/test_stat_reductions.py b/pandas/tests/reductions/test_stat_reductions.py
index dd6aef04a2e6a..d7278d62e9e44 100644
--- a/pandas/tests/reductions/test_stat_reductions.py
+++ b/pandas/tests/reductions/test_stat_reductions.py
@@ -226,7 +226,9 @@ def test_sem(self):
 
     @td.skip_if_no_scipy
     def test_skew(self):
-        from scipy.stats import skew
+        from scipy.stats import (
+            skew,
+        )
 
         string_series = tm.makeStringSeries().rename("series")
 
@@ -248,7 +250,9 @@ def test_skew(self):
 
     @td.skip_if_no_scipy
     def test_kurt(self):
-        from scipy.stats import kurtosis
+        from scipy.stats import (
+            kurtosis,
+        )
 
         string_series = tm.makeStringSeries().rename("series")
 
diff --git a/pandas/tests/resample/conftest.py b/pandas/tests/resample/conftest.py
index 38f682c9c4f5a..92e4cb3eee151 100644
--- a/pandas/tests/resample/conftest.py
+++ b/pandas/tests/resample/conftest.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -7,8 +9,12 @@
     DataFrame,
     Series,
 )
-from pandas.core.indexes.datetimes import date_range
-from pandas.core.indexes.period import period_range
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
+from pandas.core.indexes.period import (
+    period_range,
+)
 
 # The various methods we support
 downsample_methods = [
diff --git a/pandas/tests/resample/test_base.py b/pandas/tests/resample/test_base.py
index 19445c35f0bb6..b5a4290b11974 100644
--- a/pandas/tests/resample/test_base.py
+++ b/pandas/tests/resample/test_base.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -10,12 +12,24 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.groupby.groupby import DataError
-from pandas.core.groupby.grouper import Grouper
-from pandas.core.indexes.datetimes import date_range
-from pandas.core.indexes.period import period_range
-from pandas.core.indexes.timedeltas import timedelta_range
-from pandas.core.resample import _asfreq_compat
+from pandas.core.groupby.groupby import (
+    DataError,
+)
+from pandas.core.groupby.grouper import (
+    Grouper,
+)
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
+from pandas.core.indexes.period import (
+    period_range,
+)
+from pandas.core.indexes.timedeltas import (
+    timedelta_range,
+)
+from pandas.core.resample import (
+    _asfreq_compat,
+)
 
 # a fixture value can be overridden by the test parameter value. Note that the
 # value of the fixture can be overridden this way even if the test doesn't use
diff --git a/pandas/tests/resample/test_datetime_index.py b/pandas/tests/resample/test_datetime_index.py
index d7ee7744ebcd4..15620cf9cd251 100644
--- a/pandas/tests/resample/test_datetime_index.py
+++ b/pandas/tests/resample/test_datetime_index.py
@@ -1,14 +1,26 @@
-from datetime import datetime
-from functools import partial
-from io import StringIO
-from typing import List
+from datetime import (
+    datetime,
+)
+from functools import (
+    partial,
+)
+from io import (
+    StringIO,
+)
+from typing import (
+    List,
+)
 
 import numpy as np
 import pytest
 import pytz
 
-from pandas._libs import lib
-from pandas._typing import DatetimeNaTType
+from pandas._libs import (
+    lib,
+)
+from pandas._typing import (
+    DatetimeNaTType,
+)
 
 import pandas as pd
 from pandas import (
@@ -20,8 +32,12 @@
     notna,
 )
 import pandas._testing as tm
-from pandas.core.groupby.grouper import Grouper
-from pandas.core.indexes.datetimes import date_range
+from pandas.core.groupby.grouper import (
+    Grouper,
+)
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 from pandas.core.indexes.period import (
     Period,
     period_range,
@@ -31,8 +47,12 @@
     _get_timestamp_range_edges,
 )
 
-from pandas.tseries import offsets
-from pandas.tseries.offsets import Minute
+from pandas.tseries import (
+    offsets,
+)
+from pandas.tseries.offsets import (
+    Minute,
+)
 
 
 @pytest.fixture()
diff --git a/pandas/tests/resample/test_period_index.py b/pandas/tests/resample/test_period_index.py
index 6d0a56a947065..960696737f4b6 100644
--- a/pandas/tests/resample/test_period_index.py
+++ b/pandas/tests/resample/test_period_index.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import dateutil
 import numpy as np
@@ -9,8 +11,12 @@
     DAYS,
     MONTHS,
 )
-from pandas._libs.tslibs.period import IncompatibleFrequency
-from pandas.errors import InvalidIndexError
+from pandas._libs.tslibs.period import (
+    IncompatibleFrequency,
+)
+from pandas.errors import (
+    InvalidIndexError,
+)
 
 import pandas as pd
 from pandas import (
@@ -19,15 +25,21 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.indexes.datetimes import date_range
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 from pandas.core.indexes.period import (
     Period,
     PeriodIndex,
     period_range,
 )
-from pandas.core.resample import _get_period_range_edges
+from pandas.core.resample import (
+    _get_period_range_edges,
+)
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @pytest.fixture()
diff --git a/pandas/tests/resample/test_resample_api.py b/pandas/tests/resample/test_resample_api.py
index 7ce4f482b6414..036c3e48bdb24 100644
--- a/pandas/tests/resample/test_resample_api.py
+++ b/pandas/tests/resample/test_resample_api.py
@@ -1,10 +1,16 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs import lib
-from pandas.errors import UnsupportedFunctionCall
+from pandas._libs import (
+    lib,
+)
+from pandas.errors import (
+    UnsupportedFunctionCall,
+)
 
 import pandas as pd
 from pandas import (
@@ -13,7 +19,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.indexes.datetimes import date_range
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 
 dti = date_range(start=datetime(2005, 1, 1), end=datetime(2005, 1, 10), freq="Min")
 
diff --git a/pandas/tests/resample/test_resampler_grouper.py b/pandas/tests/resample/test_resampler_grouper.py
index 425eef69c52ae..d4751feeadf00 100644
--- a/pandas/tests/resample/test_resampler_grouper.py
+++ b/pandas/tests/resample/test_resampler_grouper.py
@@ -1,9 +1,13 @@
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import numpy as np
 import pytest
 
-from pandas.util._test_decorators import async_mark
+from pandas.util._test_decorators import (
+    async_mark,
+)
 
 import pandas as pd
 from pandas import (
@@ -14,7 +18,9 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.indexes.datetimes import date_range
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 
 test_frame = DataFrame(
     {"A": [1] * 20 + [2] * 12 + [3] * 8, "B": np.arange(40)},
@@ -24,7 +30,9 @@
 
 @async_mark()
 async def test_tab_complete_ipython6_warning(ip):
-    from IPython.core.completer import provisionalcompleter
+    from IPython.core.completer import (
+        provisionalcompleter,
+    )
 
     code = dedent(
         """\
diff --git a/pandas/tests/resample/test_time_grouper.py b/pandas/tests/resample/test_time_grouper.py
index debfb48c2b39c..16c9b05b0c6e8 100644
--- a/pandas/tests/resample/test_time_grouper.py
+++ b/pandas/tests/resample/test_time_grouper.py
@@ -1,5 +1,9 @@
-from datetime import datetime
-from operator import methodcaller
+from datetime import (
+    datetime,
+)
+from operator import (
+    methodcaller,
+)
 
 import numpy as np
 import pytest
@@ -11,8 +15,12 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.groupby.grouper import Grouper
-from pandas.core.indexes.datetimes import date_range
+from pandas.core.groupby.grouper import (
+    Grouper,
+)
+from pandas.core.indexes.datetimes import (
+    date_range,
+)
 
 test_series = Series(np.random.randn(1000), index=date_range("1/1/2000", periods=1000))
 
diff --git a/pandas/tests/resample/test_timedelta.py b/pandas/tests/resample/test_timedelta.py
index 8b6e757c0a46a..0642b45550d47 100644
--- a/pandas/tests/resample/test_timedelta.py
+++ b/pandas/tests/resample/test_timedelta.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
@@ -9,7 +11,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.indexes.timedeltas import timedelta_range
+from pandas.core.indexes.timedeltas import (
+    timedelta_range,
+)
 
 
 def test_asfreq_bug():
diff --git a/pandas/tests/reshape/concat/test_append.py b/pandas/tests/reshape/concat/test_append.py
index b540cd514c0b5..8f21ee81dcb88 100644
--- a/pandas/tests/reshape/concat/test_append.py
+++ b/pandas/tests/reshape/concat/test_append.py
@@ -1,5 +1,7 @@
 import datetime as dt
-from itertools import combinations
+from itertools import (
+    combinations,
+)
 
 import dateutil
 import numpy as np
diff --git a/pandas/tests/reshape/concat/test_categorical.py b/pandas/tests/reshape/concat/test_categorical.py
index 14c559db4b0b5..1263dc873aafa 100644
--- a/pandas/tests/reshape/concat/test_categorical.py
+++ b/pandas/tests/reshape/concat/test_categorical.py
@@ -1,6 +1,8 @@
 import numpy as np
 
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/reshape/concat/test_concat.py b/pandas/tests/reshape/concat/test_concat.py
index b08d0a33d08c6..e31d5f4475cb3 100644
--- a/pandas/tests/reshape/concat/test_concat.py
+++ b/pandas/tests/reshape/concat/test_concat.py
@@ -2,9 +2,15 @@
     abc,
     deque,
 )
-from datetime import datetime
-from decimal import Decimal
-from typing import Iterator
+from datetime import (
+    datetime,
+)
+from decimal import (
+    Decimal,
+)
+from typing import (
+    Iterator,
+)
 from warnings import (
     catch_warnings,
     simplefilter,
@@ -30,8 +36,12 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import SparseArray
-from pandas.tests.extension.decimal import to_decimal
+from pandas.core.arrays import (
+    SparseArray,
+)
+from pandas.tests.extension.decimal import (
+    to_decimal,
+)
 
 
 class TestConcatenate:
diff --git a/pandas/tests/reshape/concat/test_datetimes.py b/pandas/tests/reshape/concat/test_datetimes.py
index f16358813488e..48d2a36391735 100644
--- a/pandas/tests/reshape/concat/test_datetimes.py
+++ b/pandas/tests/reshape/concat/test_datetimes.py
@@ -1,5 +1,7 @@
 import datetime as dt
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import dateutil
 import numpy as np
diff --git a/pandas/tests/reshape/concat/test_index.py b/pandas/tests/reshape/concat/test_index.py
index e0ea09138ef3c..9d9a9cde609b0 100644
--- a/pandas/tests/reshape/concat/test_index.py
+++ b/pandas/tests/reshape/concat/test_index.py
@@ -1,9 +1,13 @@
-from copy import deepcopy
+from copy import (
+    deepcopy,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/reshape/concat/test_invalid.py b/pandas/tests/reshape/concat/test_invalid.py
index a8c6ef97d1ccc..c382e874d6181 100644
--- a/pandas/tests/reshape/concat/test_invalid.py
+++ b/pandas/tests/reshape/concat/test_invalid.py
@@ -1,4 +1,6 @@
-from io import StringIO
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/reshape/concat/test_sort.py b/pandas/tests/reshape/concat/test_sort.py
index 2724f81958893..5b7bd9ef5d8fa 100644
--- a/pandas/tests/reshape/concat/test_sort.py
+++ b/pandas/tests/reshape/concat/test_sort.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/reshape/merge/test_merge.py b/pandas/tests/reshape/merge/test_merge.py
index ad90d5ae147c8..c0fcb8054829a 100644
--- a/pandas/tests/reshape/merge/test_merge.py
+++ b/pandas/tests/reshape/merge/test_merge.py
@@ -12,7 +12,9 @@
     is_categorical_dtype,
     is_object_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -29,8 +31,12 @@
     TimedeltaIndex,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype as CDT
-from pandas.core.reshape.concat import concat
+from pandas.api.types import (
+    CategoricalDtype as CDT,
+)
+from pandas.core.reshape.concat import (
+    concat,
+)
 from pandas.core.reshape.merge import (
     MergeError,
     merge,
diff --git a/pandas/tests/reshape/merge/test_merge_asof.py b/pandas/tests/reshape/merge/test_merge_asof.py
index 0aa9026cc0808..ee67852fe47b8 100644
--- a/pandas/tests/reshape/merge/test_merge_asof.py
+++ b/pandas/tests/reshape/merge/test_merge_asof.py
@@ -13,7 +13,9 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.core.reshape.merge import MergeError
+from pandas.core.reshape.merge import (
+    MergeError,
+)
 
 
 @pytest.fixture(params=["s", "ms", "us", "ns"])
diff --git a/pandas/tests/reshape/merge/test_merge_cross.py b/pandas/tests/reshape/merge/test_merge_cross.py
index 7e14b515836cf..a7c42b57d6a22 100644
--- a/pandas/tests/reshape/merge/test_merge_cross.py
+++ b/pandas/tests/reshape/merge/test_merge_cross.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 from pandas.core.reshape.merge import (
     MergeError,
diff --git a/pandas/tests/reshape/merge/test_merge_index_as_string.py b/pandas/tests/reshape/merge/test_merge_index_as_string.py
index b4271d4face4f..47b0988d134b7 100644
--- a/pandas/tests/reshape/merge/test_merge_index_as_string.py
+++ b/pandas/tests/reshape/merge/test_merge_index_as_string.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/reshape/merge/test_multi.py b/pandas/tests/reshape/merge/test_multi.py
index 37ed45f0094ec..63faed4d04511 100644
--- a/pandas/tests/reshape/merge/test_multi.py
+++ b/pandas/tests/reshape/merge/test_multi.py
@@ -11,8 +11,12 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.core.reshape.concat import concat
-from pandas.core.reshape.merge import merge
+from pandas.core.reshape.concat import (
+    concat,
+)
+from pandas.core.reshape.merge import (
+    merge,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/reshape/test_crosstab.py b/pandas/tests/reshape/test_crosstab.py
index 573f5d49afb89..ab622c73b001d 100644
--- a/pandas/tests/reshape/test_crosstab.py
+++ b/pandas/tests/reshape/test_crosstab.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_categorical_dtype
+from pandas.core.dtypes.common import (
+    is_categorical_dtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/reshape/test_cut.py b/pandas/tests/reshape/test_cut.py
index e47e36ab55f10..a53df924f6119 100644
--- a/pandas/tests/reshape/test_cut.py
+++ b/pandas/tests/reshape/test_cut.py
@@ -21,7 +21,9 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype as CDT
+from pandas.api.types import (
+    CategoricalDtype as CDT,
+)
 import pandas.core.reshape.tile as tmod
 
 
diff --git a/pandas/tests/reshape/test_get_dummies.py b/pandas/tests/reshape/test_get_dummies.py
index fab9b0a5d1846..339d27d14ce9f 100644
--- a/pandas/tests/reshape/test_get_dummies.py
+++ b/pandas/tests/reshape/test_get_dummies.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_integer_dtype
+from pandas.core.dtypes.common import (
+    is_integer_dtype,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/reshape/test_pivot.py b/pandas/tests/reshape/test_pivot.py
index 93217fc4ce3b0..c3a5f32bc4491 100644
--- a/pandas/tests/reshape/test_pivot.py
+++ b/pandas/tests/reshape/test_pivot.py
@@ -3,12 +3,16 @@
     datetime,
     timedelta,
 )
-from itertools import product
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
@@ -22,9 +26,15 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype as CDT
-from pandas.core.reshape import reshape as reshape_lib
-from pandas.core.reshape.pivot import pivot_table
+from pandas.api.types import (
+    CategoricalDtype as CDT,
+)
+from pandas.core.reshape import (
+    reshape as reshape_lib,
+)
+from pandas.core.reshape.pivot import (
+    pivot_table,
+)
 
 
 @pytest.fixture(params=[True, False])
diff --git a/pandas/tests/reshape/test_pivot_multilevel.py b/pandas/tests/reshape/test_pivot_multilevel.py
index c6931a1961702..ebaed531984ac 100644
--- a/pandas/tests/reshape/test_pivot_multilevel.py
+++ b/pandas/tests/reshape/test_pivot_multilevel.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/reshape/test_qcut.py b/pandas/tests/reshape/test_qcut.py
index f7c7204d02a49..02a2cd7c2b3fa 100644
--- a/pandas/tests/reshape/test_qcut.py
+++ b/pandas/tests/reshape/test_qcut.py
@@ -20,7 +20,9 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype as CDT
+from pandas.api.types import (
+    CategoricalDtype as CDT,
+)
 
 from pandas.tseries.offsets import (
     Day,
diff --git a/pandas/tests/reshape/test_union_categoricals.py b/pandas/tests/reshape/test_union_categoricals.py
index 7505d69aee134..c4839429a48fc 100644
--- a/pandas/tests/reshape/test_union_categoricals.py
+++ b/pandas/tests/reshape/test_union_categoricals.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.concat import union_categoricals
+from pandas.core.dtypes.concat import (
+    union_categoricals,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/reshape/test_util.py b/pandas/tests/reshape/test_util.py
index 4d0be7464cb3d..4606c66dde9bf 100644
--- a/pandas/tests/reshape/test_util.py
+++ b/pandas/tests/reshape/test_util.py
@@ -6,7 +6,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.reshape.util import cartesian_product
+from pandas.core.reshape.util import (
+    cartesian_product,
+)
 
 
 class TestCartesianProduct:
diff --git a/pandas/tests/scalar/interval/test_arithmetic.py b/pandas/tests/scalar/interval/test_arithmetic.py
index 863446c64de42..e486bd95bd3e8 100644
--- a/pandas/tests/scalar/interval/test_arithmetic.py
+++ b/pandas/tests/scalar/interval/test_arithmetic.py
@@ -1,4 +1,6 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/scalar/period/test_asfreq.py b/pandas/tests/scalar/period/test_asfreq.py
index e652c63d46f18..73c9605cbe1bd 100644
--- a/pandas/tests/scalar/period/test_asfreq.py
+++ b/pandas/tests/scalar/period/test_asfreq.py
@@ -1,8 +1,14 @@
 import pytest
 
-from pandas._libs.tslibs.dtypes import _period_code_map
-from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
-from pandas.errors import OutOfBoundsDatetime
+from pandas._libs.tslibs.dtypes import (
+    _period_code_map,
+)
+from pandas._libs.tslibs.period import (
+    INVALID_FREQ_ERR_MSG,
+)
+from pandas.errors import (
+    OutOfBoundsDatetime,
+)
 
 from pandas import (
     Period,
diff --git a/pandas/tests/scalar/period/test_period.py b/pandas/tests/scalar/period/test_period.py
index b8a0a8068ba31..929ff732dd7bb 100644
--- a/pandas/tests/scalar/period/test_period.py
+++ b/pandas/tests/scalar/period/test_period.py
@@ -15,8 +15,12 @@
     DAYS,
     MONTHS,
 )
-from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
-from pandas._libs.tslibs.parsing import DateParseError
+from pandas._libs.tslibs.np_datetime import (
+    OutOfBoundsDatetime,
+)
+from pandas._libs.tslibs.parsing import (
+    DateParseError,
+)
 from pandas._libs.tslibs.period import (
     INVALID_FREQ_ERR_MSG,
     IncompatibleFrequency,
diff --git a/pandas/tests/scalar/test_na_scalar.py b/pandas/tests/scalar/test_na_scalar.py
index 213fa1791838d..3d7c57f566304 100644
--- a/pandas/tests/scalar/test_na_scalar.py
+++ b/pandas/tests/scalar/test_na_scalar.py
@@ -8,9 +8,13 @@
 import numpy as np
 import pytest
 
-from pandas._libs.missing import NA
+from pandas._libs.missing import (
+    NA,
+)
 
-from pandas.core.dtypes.common import is_scalar
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
 
 import pandas as pd
 import pandas._testing as tm
diff --git a/pandas/tests/scalar/test_nat.py b/pandas/tests/scalar/test_nat.py
index 9aae76aab66c8..1e3a7b5823493 100644
--- a/pandas/tests/scalar/test_nat.py
+++ b/pandas/tests/scalar/test_nat.py
@@ -8,10 +8,16 @@
 import pytest
 import pytz
 
-from pandas._libs.tslibs import iNaT
-from pandas.compat import is_numpy_dev
+from pandas._libs.tslibs import (
+    iNaT,
+)
+from pandas.compat import (
+    is_numpy_dev,
+)
 
-from pandas.core.dtypes.common import is_datetime64_any_dtype
+from pandas.core.dtypes.common import (
+    is_datetime64_any_dtype,
+)
 
 from pandas import (
     DatetimeIndex,
@@ -32,7 +38,9 @@
     PeriodArray,
     TimedeltaArray,
 )
-from pandas.core.ops import roperator
+from pandas.core.ops import (
+    roperator,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/scalar/timedelta/test_arithmetic.py b/pandas/tests/scalar/timedelta/test_arithmetic.py
index d67d451e4fc6d..e6ea940be40c1 100644
--- a/pandas/tests/scalar/timedelta/test_arithmetic.py
+++ b/pandas/tests/scalar/timedelta/test_arithmetic.py
@@ -10,7 +10,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import OutOfBoundsTimedelta
+from pandas.errors import (
+    OutOfBoundsTimedelta,
+)
 
 import pandas as pd
 from pandas import (
@@ -20,7 +22,9 @@
     offsets,
 )
 import pandas._testing as tm
-from pandas.core import ops
+from pandas.core import (
+    ops,
+)
 
 
 class TestTimedeltaAdditionSubtraction:
diff --git a/pandas/tests/scalar/timedelta/test_constructors.py b/pandas/tests/scalar/timedelta/test_constructors.py
index ad9dd408fbeaf..8834360f66aed 100644
--- a/pandas/tests/scalar/timedelta/test_constructors.py
+++ b/pandas/tests/scalar/timedelta/test_constructors.py
@@ -1,11 +1,19 @@
-from datetime import timedelta
-from itertools import product
+from datetime import (
+    timedelta,
+)
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import OutOfBoundsTimedelta
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs import (
+    OutOfBoundsTimedelta,
+)
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
 
 from pandas import (
     NaT,
diff --git a/pandas/tests/scalar/timedelta/test_formats.py b/pandas/tests/scalar/timedelta/test_formats.py
index 753186ee4b738..5fa1bf4bc9f7e 100644
--- a/pandas/tests/scalar/timedelta/test_formats.py
+++ b/pandas/tests/scalar/timedelta/test_formats.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Timedelta
+from pandas import (
+    Timedelta,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/scalar/timedelta/test_timedelta.py b/pandas/tests/scalar/timedelta/test_timedelta.py
index 7046055b5c0d5..91858d02bf460 100644
--- a/pandas/tests/scalar/timedelta/test_timedelta.py
+++ b/pandas/tests/scalar/timedelta/test_timedelta.py
@@ -1,5 +1,7 @@
 """ test the scalar Timedelta """
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 from hypothesis import (
     given,
@@ -8,13 +10,19 @@
 import numpy as np
 import pytest
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.tslibs import (
     NaT,
     iNaT,
 )
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
-from pandas.errors import OutOfBoundsTimedelta
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
+from pandas.errors import (
+    OutOfBoundsTimedelta,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/scalar/timestamp/test_comparisons.py b/pandas/tests/scalar/timestamp/test_comparisons.py
index e7e5541cf499f..a2d16d57e934c 100644
--- a/pandas/tests/scalar/timestamp/test_comparisons.py
+++ b/pandas/tests/scalar/timestamp/test_comparisons.py
@@ -7,7 +7,9 @@
 import numpy as np
 import pytest
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/scalar/timestamp/test_constructors.py b/pandas/tests/scalar/timestamp/test_constructors.py
index ca0796e55f28d..c0cbb265f57f3 100644
--- a/pandas/tests/scalar/timestamp/test_constructors.py
+++ b/pandas/tests/scalar/timestamp/test_constructors.py
@@ -7,17 +7,23 @@
 )
 
 import dateutil.tz
-from dateutil.tz import tzutc
+from dateutil.tz import (
+    tzutc,
+)
 import numpy as np
 import pytest
 import pytz
 
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
 from pandas.compat import (
     PY39,
     PY310,
 )
-from pandas.errors import OutOfBoundsDatetime
+from pandas.errors import (
+    OutOfBoundsDatetime,
+)
 
 from pandas import (
     Period,
diff --git a/pandas/tests/scalar/timestamp/test_formats.py b/pandas/tests/scalar/timestamp/test_formats.py
index 71dbf3539bdb2..6f517e7cae92b 100644
--- a/pandas/tests/scalar/timestamp/test_formats.py
+++ b/pandas/tests/scalar/timestamp/test_formats.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
 ts_no_ns = Timestamp(
     year=2019,
diff --git a/pandas/tests/scalar/timestamp/test_rendering.py b/pandas/tests/scalar/timestamp/test_rendering.py
index 216a055120a46..b103cc808b89a 100644
--- a/pandas/tests/scalar/timestamp/test_rendering.py
+++ b/pandas/tests/scalar/timestamp/test_rendering.py
@@ -3,7 +3,9 @@
 import pytest
 import pytz  # noqa  # a test below uses pytz but only inside a `eval` call
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
 
 class TestTimestampRendering:
diff --git a/pandas/tests/scalar/timestamp/test_timestamp.py b/pandas/tests/scalar/timestamp/test_timestamp.py
index afb4dd7422114..cc9c01bfa2711 100644
--- a/pandas/tests/scalar/timestamp/test_timestamp.py
+++ b/pandas/tests/scalar/timestamp/test_timestamp.py
@@ -17,17 +17,25 @@
 import numpy as np
 import pytest
 import pytz
-from pytz import utc
+from pytz import (
+    utc,
+)
 
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
 from pandas._libs.tslibs.timezones import (
     dateutil_gettz as gettz,
     get_timezone,
     maybe_get_tz,
     tz_compare,
 )
-from pandas.compat import IS64
-from pandas.errors import OutOfBoundsDatetime
+from pandas.compat import (
+    IS64,
+)
+from pandas.errors import (
+    OutOfBoundsDatetime,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -37,8 +45,12 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
-from pandas.tseries.frequencies import to_offset
+from pandas.tseries import (
+    offsets,
+)
+from pandas.tseries.frequencies import (
+    to_offset,
+)
 
 
 class TestTimestampProperties:
diff --git a/pandas/tests/scalar/timestamp/test_timezones.py b/pandas/tests/scalar/timestamp/test_timezones.py
index 820b2e17a9d3f..5a325be0cee50 100644
--- a/pandas/tests/scalar/timestamp/test_timezones.py
+++ b/pandas/tests/scalar/timestamp/test_timezones.py
@@ -21,9 +21,15 @@
     NonExistentTimeError,
 )
 
-from pandas._libs.tslibs import timezones
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
-from pandas.errors import OutOfBoundsDatetime
+from pandas._libs.tslibs import (
+    timezones,
+)
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
+from pandas.errors import (
+    OutOfBoundsDatetime,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -32,7 +38,9 @@
 )
 
 try:
-    from zoneinfo import ZoneInfo
+    from zoneinfo import (
+        ZoneInfo,
+    )
 except ImportError:
     ZoneInfo = None
 
diff --git a/pandas/tests/scalar/timestamp/test_unary_ops.py b/pandas/tests/scalar/timestamp/test_unary_ops.py
index 5a082fb91a03e..31b8e41d7d0fa 100644
--- a/pandas/tests/scalar/timestamp/test_unary_ops.py
+++ b/pandas/tests/scalar/timestamp/test_unary_ops.py
@@ -1,6 +1,10 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from dateutil.tz import gettz
+from dateutil.tz import (
+    gettz,
+)
 from hypothesis import (
     given,
     strategies as st,
@@ -8,9 +12,13 @@
 import numpy as np
 import pytest
 import pytz
-from pytz import utc
+from pytz import (
+    utc,
+)
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 from pandas._libs.tslibs import (
     NaT,
     OutOfBoundsDatetime,
@@ -20,8 +28,12 @@
     iNaT,
     to_offset,
 )
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
-from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
+from pandas._libs.tslibs.period import (
+    INVALID_FREQ_ERR_MSG,
+)
 import pandas.util._test_decorators as td
 
 import pandas._testing as tm
diff --git a/pandas/tests/series/accessors/test_cat_accessor.py b/pandas/tests/series/accessors/test_cat_accessor.py
index a2ed590640465..caf8ac4e2b091 100644
--- a/pandas/tests/series/accessors/test_cat_accessor.py
+++ b/pandas/tests/series/accessors/test_cat_accessor.py
@@ -14,8 +14,12 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays.categorical import CategoricalAccessor
-from pandas.core.indexes.accessors import Properties
+from pandas.core.arrays.categorical import (
+    CategoricalAccessor,
+)
+from pandas.core.indexes.accessors import (
+    Properties,
+)
 
 
 class TestCatAccessor:
diff --git a/pandas/tests/series/accessors/test_dt_accessor.py b/pandas/tests/series/accessors/test_dt_accessor.py
index fa8e184285616..8e7db6c83ea5f 100644
--- a/pandas/tests/series/accessors/test_dt_accessor.py
+++ b/pandas/tests/series/accessors/test_dt_accessor.py
@@ -11,8 +11,12 @@
 import pytest
 import pytz
 
-from pandas._libs.tslibs.timezones import maybe_get_tz
-from pandas.errors import SettingWithCopyError
+from pandas._libs.tslibs.timezones import (
+    maybe_get_tz,
+)
+from pandas.errors import (
+    SettingWithCopyError,
+)
 
 from pandas.core.dtypes.common import (
     is_integer_dtype,
diff --git a/pandas/tests/series/accessors/test_sparse_accessor.py b/pandas/tests/series/accessors/test_sparse_accessor.py
index 118095b5dcdbc..c87eec6d5c6d1 100644
--- a/pandas/tests/series/accessors/test_sparse_accessor.py
+++ b/pandas/tests/series/accessors/test_sparse_accessor.py
@@ -1,4 +1,6 @@
-from pandas import Series
+from pandas import (
+    Series,
+)
 
 
 class TestSparseAccessor:
diff --git a/pandas/tests/series/accessors/test_str_accessor.py b/pandas/tests/series/accessors/test_str_accessor.py
index 09d965ef1f322..d5bfc103ed6a9 100644
--- a/pandas/tests/series/accessors/test_str_accessor.py
+++ b/pandas/tests/series/accessors/test_str_accessor.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/indexing/test_datetime.py b/pandas/tests/series/indexing/test_datetime.py
index 64da669343147..47e109cc972bc 100644
--- a/pandas/tests/series/indexing/test_datetime.py
+++ b/pandas/tests/series/indexing/test_datetime.py
@@ -15,7 +15,9 @@
 import pytest
 import pytz
 
-from pandas._libs import index as libindex
+from pandas._libs import (
+    index as libindex,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/series/indexing/test_getitem.py b/pandas/tests/series/indexing/test_getitem.py
index 91d6be01eef16..efecf0d2d99d6 100644
--- a/pandas/tests/series/indexing/test_getitem.py
+++ b/pandas/tests/series/indexing/test_getitem.py
@@ -15,7 +15,9 @@
     timezones,
 )
 
-from pandas.core.dtypes.common import is_scalar
+from pandas.core.dtypes.common import (
+    is_scalar,
+)
 
 import pandas as pd
 from pandas import (
@@ -30,9 +32,13 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.indexing import IndexingError
+from pandas.core.indexing import (
+    IndexingError,
+)
 
-from pandas.tseries.offsets import BDay
+from pandas.tseries.offsets import (
+    BDay,
+)
 
 
 class TestSeriesGetitemScalars:
diff --git a/pandas/tests/series/indexing/test_indexing.py b/pandas/tests/series/indexing/test_indexing.py
index f12d752a1a764..693484280ae18 100644
--- a/pandas/tests/series/indexing/test_indexing.py
+++ b/pandas/tests/series/indexing/test_indexing.py
@@ -1,11 +1,15 @@
 """ test get/set & misc """
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas.errors import IndexingError
+from pandas.errors import (
+    IndexingError,
+)
 
 from pandas import (
     NA,
diff --git a/pandas/tests/series/indexing/test_mask.py b/pandas/tests/series/indexing/test_mask.py
index 28235a8918e3f..9d66abfc3e601 100644
--- a/pandas/tests/series/indexing/test_mask.py
+++ b/pandas/tests/series/indexing/test_mask.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/indexing/test_set_value.py b/pandas/tests/series/indexing/test_set_value.py
index cbe1a8bf296c8..8cef484e7f2e0 100644
--- a/pandas/tests/series/indexing/test_set_value.py
+++ b/pandas/tests/series/indexing/test_set_value.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
diff --git a/pandas/tests/series/indexing/test_setitem.py b/pandas/tests/series/indexing/test_setitem.py
index c36831ba60b89..ab0621fe90c5a 100644
--- a/pandas/tests/series/indexing/test_setitem.py
+++ b/pandas/tests/series/indexing/test_setitem.py
@@ -6,9 +6,13 @@
 import numpy as np
 import pytest
 
-from pandas.errors import IndexingError
+from pandas.errors import (
+    IndexingError,
+)
 
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+    is_list_like,
+)
 
 from pandas import (
     NA,
@@ -33,7 +37,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries.offsets import BDay
+from pandas.tseries.offsets import (
+    BDay,
+)
 
 
 class TestSetitemDT64Values:
diff --git a/pandas/tests/series/indexing/test_take.py b/pandas/tests/series/indexing/test_take.py
index 91b44e9f65320..fa04bf3f0eb92 100644
--- a/pandas/tests/series/indexing/test_take.py
+++ b/pandas/tests/series/indexing/test_take.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/indexing/test_where.py b/pandas/tests/series/indexing/test_where.py
index eabaf23bd36f8..cf85f487d6c1d 100644
--- a/pandas/tests/series/indexing/test_where.py
+++ b/pandas/tests/series/indexing/test_where.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_integer
+from pandas.core.dtypes.common import (
+    is_integer,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/series/methods/test_add_prefix_suffix.py b/pandas/tests/series/methods/test_add_prefix_suffix.py
index 289a56b98b7e1..75242e26d86a5 100644
--- a/pandas/tests/series/methods/test_add_prefix_suffix.py
+++ b/pandas/tests/series/methods/test_add_prefix_suffix.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Index
+from pandas import (
+    Index,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/methods/test_align.py b/pandas/tests/series/methods/test_align.py
index b2e03684bc902..77ba0674c4e91 100644
--- a/pandas/tests/series/methods/test_align.py
+++ b/pandas/tests/series/methods/test_align.py
@@ -1,4 +1,6 @@
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/series/methods/test_asof.py b/pandas/tests/series/methods/test_asof.py
index 9d8a8320eb978..fd7f9cfc28cc7 100644
--- a/pandas/tests/series/methods/test_asof.py
+++ b/pandas/tests/series/methods/test_asof.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    IncompatibleFrequency,
+)
 
 from pandas import (
     DatetimeIndex,
diff --git a/pandas/tests/series/methods/test_astype.py b/pandas/tests/series/methods/test_astype.py
index aae51ebc5a017..3b462be40724d 100644
--- a/pandas/tests/series/methods/test_astype.py
+++ b/pandas/tests/series/methods/test_astype.py
@@ -2,14 +2,18 @@
     datetime,
     timedelta,
 )
-from importlib import reload
+from importlib import (
+    reload,
+)
 import string
 import sys
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import iNaT
+from pandas._libs.tslibs import (
+    iNaT,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/series/methods/test_clip.py b/pandas/tests/series/methods/test_clip.py
index c88a42697dbdf..198e6b76ddf32 100644
--- a/pandas/tests/series/methods/test_clip.py
+++ b/pandas/tests/series/methods/test_clip.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/series/methods/test_combine.py b/pandas/tests/series/methods/test_combine.py
index 75d47e3daa103..69d54b85d6732 100644
--- a/pandas/tests/series/methods/test_combine.py
+++ b/pandas/tests/series/methods/test_combine.py
@@ -1,4 +1,6 @@
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/methods/test_combine_first.py b/pandas/tests/series/methods/test_combine_first.py
index aac3d4986e8ee..ce4378002684a 100644
--- a/pandas/tests/series/methods/test_combine_first.py
+++ b/pandas/tests/series/methods/test_combine_first.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
diff --git a/pandas/tests/series/methods/test_convert_dtypes.py b/pandas/tests/series/methods/test_convert_dtypes.py
index d91cd6a43daea..eee7ee5757dbd 100644
--- a/pandas/tests/series/methods/test_convert_dtypes.py
+++ b/pandas/tests/series/methods/test_convert_dtypes.py
@@ -1,4 +1,6 @@
-from itertools import product
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/series/methods/test_cov_corr.py b/pandas/tests/series/methods/test_cov_corr.py
index 6ab255cfa3d25..c8286578dd076 100644
--- a/pandas/tests/series/methods/test_cov_corr.py
+++ b/pandas/tests/series/methods/test_cov_corr.py
@@ -60,7 +60,9 @@ class TestSeriesCorr:
     @td.skip_if_no_scipy
     @pytest.mark.parametrize("dtype", ["float64", "Float64"])
     def test_corr(self, datetime_series, dtype):
-        from scipy import stats
+        from scipy import (
+            stats,
+        )
 
         datetime_series = datetime_series.astype(dtype)
 
@@ -92,7 +94,9 @@ def test_corr(self, datetime_series, dtype):
 
     @td.skip_if_no_scipy
     def test_corr_rank(self):
-        from scipy import stats
+        from scipy import (
+            stats,
+        )
 
         # kendall and spearman
         A = tm.makeTimeSeries()
diff --git a/pandas/tests/series/methods/test_describe.py b/pandas/tests/series/methods/test_describe.py
index ab4b8881d677d..1636c4e4cc865 100644
--- a/pandas/tests/series/methods/test_describe.py
+++ b/pandas/tests/series/methods/test_describe.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
+from pandas.compat import (
+    is_numpy_dev,
+)
 
 from pandas.core.dtypes.common import (
     is_complex_dtype,
diff --git a/pandas/tests/series/methods/test_drop.py b/pandas/tests/series/methods/test_drop.py
index 5d9a469915cfb..38a7cbe37c39c 100644
--- a/pandas/tests/series/methods/test_drop.py
+++ b/pandas/tests/series/methods/test_drop.py
@@ -5,7 +5,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.api.types import is_bool_dtype
+from pandas.api.types import (
+    is_bool_dtype,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/series/methods/test_equals.py b/pandas/tests/series/methods/test_equals.py
index 9278d1b51e1aa..9ca69280a75e7 100644
--- a/pandas/tests/series/methods/test_equals.py
+++ b/pandas/tests/series/methods/test_equals.py
@@ -1,13 +1,21 @@
-from contextlib import nullcontext
+from contextlib import (
+    nullcontext,
+)
 import copy
 
 import numpy as np
 import pytest
 
-from pandas._libs.missing import is_matching_na
-from pandas.compat import is_numpy_dev
+from pandas._libs.missing import (
+    is_matching_na,
+)
+from pandas.compat import (
+    is_numpy_dev,
+)
 
-from pandas.core.dtypes.common import is_float
+from pandas.core.dtypes.common import (
+    is_float,
+)
 
 from pandas import (
     Index,
diff --git a/pandas/tests/series/methods/test_fillna.py b/pandas/tests/series/methods/test_fillna.py
index 36967c5cad925..26e4206b91c8a 100644
--- a/pandas/tests/series/methods/test_fillna.py
+++ b/pandas/tests/series/methods/test_fillna.py
@@ -21,7 +21,9 @@
     isna,
 )
 import pandas._testing as tm
-from pandas.core.arrays import period_array
+from pandas.core.arrays import (
+    period_array,
+)
 
 
 class TestSeriesFillNA:
diff --git a/pandas/tests/series/methods/test_is_unique.py b/pandas/tests/series/methods/test_is_unique.py
index db77f77467b42..76762a2018a17 100644
--- a/pandas/tests/series/methods/test_is_unique.py
+++ b/pandas/tests/series/methods/test_is_unique.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/series/methods/test_isin.py b/pandas/tests/series/methods/test_isin.py
index 3e4857b7abf38..d11d618d99b74 100644
--- a/pandas/tests/series/methods/test_isin.py
+++ b/pandas/tests/series/methods/test_isin.py
@@ -7,7 +7,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.arrays import PeriodArray
+from pandas.core.arrays import (
+    PeriodArray,
+)
 
 
 class TestSeriesIsIn:
diff --git a/pandas/tests/series/methods/test_nlargest.py b/pandas/tests/series/methods/test_nlargest.py
index 146ba2c42e0be..8a7542297e724 100644
--- a/pandas/tests/series/methods/test_nlargest.py
+++ b/pandas/tests/series/methods/test_nlargest.py
@@ -2,13 +2,17 @@
 Note: for naming purposes, most tests are title with as e.g. "test_nlargest_foo"
 but are implicitly also testing nsmallest_foo.
 """
-from itertools import product
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 main_dtypes = [
diff --git a/pandas/tests/series/methods/test_pop.py b/pandas/tests/series/methods/test_pop.py
index 7453f98ab3735..f65a2e58f247c 100644
--- a/pandas/tests/series/methods/test_pop.py
+++ b/pandas/tests/series/methods/test_pop.py
@@ -1,4 +1,6 @@
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/methods/test_quantile.py b/pandas/tests/series/methods/test_quantile.py
index 190cdf5f57ea3..f2d1047a8589e 100644
--- a/pandas/tests/series/methods/test_quantile.py
+++ b/pandas/tests/series/methods/test_quantile.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.common import is_integer
+from pandas.core.dtypes.common import (
+    is_integer,
+)
 
 import pandas as pd
 from pandas import (
@@ -9,7 +11,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.indexes.datetimes import Timestamp
+from pandas.core.indexes.datetimes import (
+    Timestamp,
+)
 
 
 class TestSeriesQuantile:
diff --git a/pandas/tests/series/methods/test_rank.py b/pandas/tests/series/methods/test_rank.py
index 7c38d18d994ec..b104d4dd6e049 100644
--- a/pandas/tests/series/methods/test_rank.py
+++ b/pandas/tests/series/methods/test_rank.py
@@ -1,4 +1,6 @@
-from itertools import chain
+from itertools import (
+    chain,
+)
 import operator
 
 import numpy as np
@@ -18,7 +20,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.api.types import CategoricalDtype
+from pandas.api.types import (
+    CategoricalDtype,
+)
 
 
 @pytest.fixture
@@ -57,7 +61,9 @@ def dtype(request):
 class TestSeriesRank:
     @td.skip_if_no_scipy
     def test_rank(self, datetime_series):
-        from scipy.stats import rankdata
+        from scipy.stats import (
+            rankdata,
+        )
 
         datetime_series[::2] = np.nan
         datetime_series[:10:3] = 4.0
@@ -320,7 +326,9 @@ def test_rank_desc_mix_nans_infs(self):
         ],
     )
     def test_rank_methods_series(self, method, op, value):
-        from scipy.stats import rankdata
+        from scipy.stats import (
+            rankdata,
+        )
 
         xs = np.random.randn(9)
         xs = np.concatenate([xs[i:] for i in range(0, 9, 2)])  # add duplicates
diff --git a/pandas/tests/series/methods/test_reindex_like.py b/pandas/tests/series/methods/test_reindex_like.py
index 7f24c778feb1b..67c2248eed5df 100644
--- a/pandas/tests/series/methods/test_reindex_like.py
+++ b/pandas/tests/series/methods/test_reindex_like.py
@@ -1,8 +1,12 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/methods/test_rename.py b/pandas/tests/series/methods/test_rename.py
index 93c4fbb7f3c46..a588fe25e83ad 100644
--- a/pandas/tests/series/methods/test_rename.py
+++ b/pandas/tests/series/methods/test_rename.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/series/methods/test_replace.py b/pandas/tests/series/methods/test_replace.py
index 44c224c120ea6..c8671769e0eb2 100644
--- a/pandas/tests/series/methods/test_replace.py
+++ b/pandas/tests/series/methods/test_replace.py
@@ -5,7 +5,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.arrays import IntervalArray
+from pandas.core.arrays import (
+    IntervalArray,
+)
 
 
 class TestSeriesReplace:
diff --git a/pandas/tests/series/methods/test_reset_index.py b/pandas/tests/series/methods/test_reset_index.py
index 9362b0b52a698..5a9ed0bae0ccc 100644
--- a/pandas/tests/series/methods/test_reset_index.py
+++ b/pandas/tests/series/methods/test_reset_index.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
diff --git a/pandas/tests/series/methods/test_round.py b/pandas/tests/series/methods/test_round.py
index 6c40e36419551..7750f74f53ebc 100644
--- a/pandas/tests/series/methods/test_round.py
+++ b/pandas/tests/series/methods/test_round.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/methods/test_searchsorted.py b/pandas/tests/series/methods/test_searchsorted.py
index 239496052b99b..ff2a7b63e397b 100644
--- a/pandas/tests/series/methods/test_searchsorted.py
+++ b/pandas/tests/series/methods/test_searchsorted.py
@@ -8,7 +8,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.api.types import is_scalar
+from pandas.api.types import (
+    is_scalar,
+)
 
 
 class TestSeriesSearchSorted:
diff --git a/pandas/tests/series/methods/test_set_name.py b/pandas/tests/series/methods/test_set_name.py
index cbc8ebde7a8ab..2a840f51e4359 100644
--- a/pandas/tests/series/methods/test_set_name.py
+++ b/pandas/tests/series/methods/test_set_name.py
@@ -1,6 +1,10 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 
 
 class TestSetName:
diff --git a/pandas/tests/series/methods/test_to_csv.py b/pandas/tests/series/methods/test_to_csv.py
index 990c3698a5036..997b09b828ab3 100644
--- a/pandas/tests/series/methods/test_to_csv.py
+++ b/pandas/tests/series/methods/test_to_csv.py
@@ -1,14 +1,22 @@
-from datetime import datetime
-from io import StringIO
+from datetime import (
+    datetime,
+)
+from io import (
+    StringIO,
+)
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
-from pandas.io.common import get_handle
+from pandas.io.common import (
+    get_handle,
+)
 
 
 class TestSeriesToCSV:
diff --git a/pandas/tests/series/methods/test_to_dict.py b/pandas/tests/series/methods/test_to_dict.py
index 4c3d9592eebe3..43524a625ac83 100644
--- a/pandas/tests/series/methods/test_to_dict.py
+++ b/pandas/tests/series/methods/test_to_dict.py
@@ -3,7 +3,9 @@
 import numpy as np
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/methods/test_truncate.py b/pandas/tests/series/methods/test_truncate.py
index 33eb5c10ae163..abd8b6beab266 100644
--- a/pandas/tests/series/methods/test_truncate.py
+++ b/pandas/tests/series/methods/test_truncate.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/series/methods/test_tz_localize.py b/pandas/tests/series/methods/test_tz_localize.py
index c2b1569d3f391..2b8a0133a4753 100644
--- a/pandas/tests/series/methods/test_tz_localize.py
+++ b/pandas/tests/series/methods/test_tz_localize.py
@@ -1,9 +1,13 @@
-from datetime import timezone
+from datetime import (
+    timezone,
+)
 
 import pytest
 import pytz
 
-from pandas._libs.tslibs import timezones
+from pandas._libs.tslibs import (
+    timezones,
+)
 
 from pandas import (
     DatetimeIndex,
diff --git a/pandas/tests/series/test_api.py b/pandas/tests/series/test_api.py
index dcb28001777d2..1d357850d3a69 100644
--- a/pandas/tests/series/test_api.py
+++ b/pandas/tests/series/test_api.py
@@ -4,7 +4,9 @@
 import numpy as np
 import pytest
 
-from pandas.util._test_decorators import skip_if_no
+from pandas.util._test_decorators import (
+    skip_if_no,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/series/test_arithmetic.py b/pandas/tests/series/test_arithmetic.py
index fa72bf4368b69..0f3dbd4818689 100644
--- a/pandas/tests/series/test_arithmetic.py
+++ b/pandas/tests/series/test_arithmetic.py
@@ -3,13 +3,17 @@
     timedelta,
     timezone,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import operator
 
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import IncompatibleFrequency
+from pandas._libs.tslibs import (
+    IncompatibleFrequency,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64_dtype,
@@ -31,8 +35,12 @@
     nanops,
     ops,
 )
-from pandas.core.computation import expressions as expr
-from pandas.core.computation.check import NUMEXPR_INSTALLED
+from pandas.core.computation import (
+    expressions as expr,
+)
+from pandas.core.computation.check import (
+    NUMEXPR_INSTALLED,
+)
 
 
 @pytest.fixture(autouse=True, params=[0, 1000000], ids=["numexpr", "python"])
diff --git a/pandas/tests/series/test_constructors.py b/pandas/tests/series/test_constructors.py
index bb1926ca9bfb7..5247f62a47f74 100644
--- a/pandas/tests/series/test_constructors.py
+++ b/pandas/tests/series/test_constructors.py
@@ -1,27 +1,39 @@
-from collections import OrderedDict
+from collections import (
+    OrderedDict,
+)
 from datetime import (
     datetime,
     timedelta,
 )
-from typing import Iterator
+from typing import (
+    Iterator,
+)
 
-from dateutil.tz import tzoffset
+from dateutil.tz import (
+    tzoffset,
+)
 import numpy as np
-from numpy import ma
+from numpy import (
+    ma,
+)
 import pytest
 
 from pandas._libs import (
     iNaT,
     lib,
 )
-from pandas.errors import IntCastingNaNError
+from pandas.errors import (
+    IntCastingNaNError,
+)
 import pandas.util._test_decorators as td
 
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
     is_datetime64tz_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -48,7 +60,9 @@
     IntervalArray,
     period_array,
 )
-from pandas.core.internals.blocks import NumericBlock
+from pandas.core.internals.blocks import (
+    NumericBlock,
+)
 
 
 class TestSeriesConstructors:
diff --git a/pandas/tests/series/test_logical_ops.py b/pandas/tests/series/test_logical_ops.py
index 0d661f19087e6..a48e1b37eb3b5 100644
--- a/pandas/tests/series/test_logical_ops.py
+++ b/pandas/tests/series/test_logical_ops.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import operator
 
 import numpy as np
@@ -11,7 +13,9 @@
     bdate_range,
 )
 import pandas._testing as tm
-from pandas.core import ops
+from pandas.core import (
+    ops,
+)
 
 
 class TestSeriesLogicalOps:
diff --git a/pandas/tests/series/test_missing.py b/pandas/tests/series/test_missing.py
index 017721b8a4ee0..80e562bd8e7ef 100644
--- a/pandas/tests/series/test_missing.py
+++ b/pandas/tests/series/test_missing.py
@@ -1,9 +1,13 @@
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import numpy as np
 import pytest
 
-from pandas._libs import iNaT
+from pandas._libs import (
+    iNaT,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/series/test_npfuncs.py b/pandas/tests/series/test_npfuncs.py
index a0b672fffa84a..35f55912deb88 100644
--- a/pandas/tests/series/test_npfuncs.py
+++ b/pandas/tests/series/test_npfuncs.py
@@ -4,7 +4,9 @@
 
 import numpy as np
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 
 
 class TestPtp:
diff --git a/pandas/tests/series/test_reductions.py b/pandas/tests/series/test_reductions.py
index eb11b62a651cc..bc3948fc2a3f9 100644
--- a/pandas/tests/series/test_reductions.py
+++ b/pandas/tests/series/test_reductions.py
@@ -2,7 +2,9 @@
 import pytest
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/series/test_ufunc.py b/pandas/tests/series/test_ufunc.py
index f143155bc07da..5cb66058ff934 100644
--- a/pandas/tests/series/test_ufunc.py
+++ b/pandas/tests/series/test_ufunc.py
@@ -1,4 +1,6 @@
-from collections import deque
+from collections import (
+    deque,
+)
 import re
 import string
 
@@ -7,7 +9,9 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.arrays import SparseArray
+from pandas.arrays import (
+    SparseArray,
+)
 
 BINARY_UFUNCS = [np.add, np.logaddexp]  # dunder op
 SPARSE = [True, False]
diff --git a/pandas/tests/series/test_unary.py b/pandas/tests/series/test_unary.py
index ad0e344fa4420..505696d2ad168 100644
--- a/pandas/tests/series/test_unary.py
+++ b/pandas/tests/series/test_unary.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/strings/conftest.py b/pandas/tests/strings/conftest.py
index 3e1ee89e9a841..0b9f223f2a43a 100644
--- a/pandas/tests/strings/conftest.py
+++ b/pandas/tests/strings/conftest.py
@@ -1,8 +1,12 @@
 import numpy as np
 import pytest
 
-from pandas import Series
-from pandas.core.strings.accessor import StringMethods
+from pandas import (
+    Series,
+)
+from pandas.core.strings.accessor import (
+    StringMethods,
+)
 
 _any_string_method = [
     ("cat", (), {"sep": ","}),
diff --git a/pandas/tests/strings/test_api.py b/pandas/tests/strings/test_api.py
index c439a5f006922..01e52548ae11f 100644
--- a/pandas/tests/strings/test_api.py
+++ b/pandas/tests/strings/test_api.py
@@ -7,7 +7,9 @@
     Series,
     _testing as tm,
 )
-from pandas.core.strings.accessor import StringMethods
+from pandas.core.strings.accessor import (
+    StringMethods,
+)
 
 
 def test_api(any_string_dtype):
diff --git a/pandas/tests/strings/test_case_justify.py b/pandas/tests/strings/test_case_justify.py
index e88dddb05eb51..902ccacdf6b8d 100644
--- a/pandas/tests/strings/test_case_justify.py
+++ b/pandas/tests/strings/test_case_justify.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import operator
 
 import numpy as np
diff --git a/pandas/tests/strings/test_extract.py b/pandas/tests/strings/test_extract.py
index 22a5fd28efd8d..d504f0c038b0f 100644
--- a/pandas/tests/strings/test_extract.py
+++ b/pandas/tests/strings/test_extract.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/strings/test_find_replace.py b/pandas/tests/strings/test_find_replace.py
index 6f6acb7a996b2..5413ef2121328 100644
--- a/pandas/tests/strings/test_find_replace.py
+++ b/pandas/tests/strings/test_find_replace.py
@@ -1,10 +1,14 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 import pandas as pd
 from pandas import (
diff --git a/pandas/tests/strings/test_split_partition.py b/pandas/tests/strings/test_split_partition.py
index 74458c13e8df7..28a0d0a33dc70 100644
--- a/pandas/tests/strings/test_split_partition.py
+++ b/pandas/tests/strings/test_split_partition.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
diff --git a/pandas/tests/strings/test_string_array.py b/pandas/tests/strings/test_string_array.py
index 8628aafefa4b1..09ceefe4a0739 100644
--- a/pandas/tests/strings/test_string_array.py
+++ b/pandas/tests/strings/test_string_array.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs import lib
+from pandas._libs import (
+    lib,
+)
 
 from pandas import (
     DataFrame,
diff --git a/pandas/tests/strings/test_strings.py b/pandas/tests/strings/test_strings.py
index b863425a24183..674782b60cdb6 100644
--- a/pandas/tests/strings/test_strings.py
+++ b/pandas/tests/strings/test_strings.py
@@ -13,7 +13,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.strings.accessor import StringMethods
+from pandas.core.strings.accessor import (
+    StringMethods,
+)
 
 
 @pytest.mark.parametrize("pattern", [0, True, Series(["foo", "bar"])])
diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py
index 8dc5f301793b4..e9c7a0e4eed14 100644
--- a/pandas/tests/test_algos.py
+++ b/pandas/tests/test_algos.py
@@ -1,5 +1,9 @@
-from datetime import datetime
-from itertools import permutations
+from datetime import (
+    datetime,
+)
+from itertools import (
+    permutations,
+)
 import struct
 
 import numpy as np
@@ -18,7 +22,9 @@
     is_integer_dtype,
     is_object_dtype,
 )
-from pandas.core.dtypes.dtypes import CategoricalDtype as CDT
+from pandas.core.dtypes.dtypes import (
+    CategoricalDtype as CDT,
+)
 
 import pandas as pd
 from pandas import (
@@ -1153,7 +1159,9 @@ def test_isin_unsigned_dtype(self):
 class TestValueCounts:
     def test_value_counts(self):
         np.random.seed(1234)
-        from pandas.core.reshape.tile import cut
+        from pandas.core.reshape.tile import (
+            cut,
+        )
 
         arr = np.random.randn(4)
         factor = cut(arr, 4)
@@ -1700,7 +1708,9 @@ class TestRank:
         ],
     )
     def test_scipy_compat(self, arr):
-        from scipy.stats import rankdata
+        from scipy.stats import (
+            rankdata,
+        )
 
         arr = np.array(arr)
 
diff --git a/pandas/tests/test_common.py b/pandas/tests/test_common.py
index d31f617b9be15..a1807dc698c6d 100644
--- a/pandas/tests/test_common.py
+++ b/pandas/tests/test_common.py
@@ -1,16 +1,24 @@
 import collections
-from functools import partial
+from functools import (
+    partial,
+)
 import string
 
 import numpy as np
 import pytest
 
 import pandas as pd
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
-from pandas.core import ops
+from pandas.core import (
+    ops,
+)
 import pandas.core.common as com
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 
 def test_get_callable_name():
diff --git a/pandas/tests/test_downstream.py b/pandas/tests/test_downstream.py
index b17dce234043c..248670dbebc97 100644
--- a/pandas/tests/test_downstream.py
+++ b/pandas/tests/test_downstream.py
@@ -8,7 +8,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import IntCastingNaNError
+from pandas.errors import (
+    IntCastingNaNError,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
diff --git a/pandas/tests/test_errors.py b/pandas/tests/test_errors.py
index aeddc08e4b888..6c27ed5446318 100644
--- a/pandas/tests/test_errors.py
+++ b/pandas/tests/test_errors.py
@@ -46,7 +46,9 @@
     ],
 )
 def test_exception_importable(exc):
-    from pandas import errors
+    from pandas import (
+        errors,
+    )
 
     err = getattr(errors, exc)
     assert err is not None
@@ -60,7 +62,9 @@ def test_exception_importable(exc):
 
 
 def test_catch_oob():
-    from pandas import errors
+    from pandas import (
+        errors,
+    )
 
     msg = "Cannot cast 1500-01-01 00:00:00 to unit='ns' without overflow"
     with pytest.raises(errors.OutOfBoundsDatetime, match=msg):
diff --git a/pandas/tests/test_expressions.py b/pandas/tests/test_expressions.py
index ec4f8893885f3..e89fbb76b28c2 100644
--- a/pandas/tests/test_expressions.py
+++ b/pandas/tests/test_expressions.py
@@ -5,14 +5,18 @@
 import numpy as np
 import pytest
 
-from pandas import option_context
+from pandas import (
+    option_context,
+)
 import pandas._testing as tm
 from pandas.core.api import (
     DataFrame,
     Index,
     Series,
 )
-from pandas.core.computation import expressions as expr
+from pandas.core.computation import (
+    expressions as expr,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/test_nanops.py b/pandas/tests/test_nanops.py
index ba21ea4e7db95..362f5363a72f3 100644
--- a/pandas/tests/test_nanops.py
+++ b/pandas/tests/test_nanops.py
@@ -1,4 +1,6 @@
-from functools import partial
+from functools import (
+    partial,
+)
 import operator
 import warnings
 
@@ -7,7 +9,9 @@
 
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_integer_dtype
+from pandas.core.dtypes.common import (
+    is_integer_dtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -15,8 +19,12 @@
     isna,
 )
 import pandas._testing as tm
-from pandas.core import nanops
-from pandas.core.arrays import DatetimeArray
+from pandas.core import (
+    nanops,
+)
+from pandas.core.arrays import (
+    DatetimeArray,
+)
 
 use_bn = nanops._USE_BOTTLENECK
 
@@ -497,7 +505,9 @@ def test_nanstd(self, ddof, skipna):
     @td.skip_if_no_scipy
     @pytest.mark.parametrize("ddof", range(3))
     def test_nansem(self, ddof, skipna):
-        from scipy.stats import sem
+        from scipy.stats import (
+            sem,
+        )
 
         with np.errstate(invalid="ignore"):
             self.check_funs(
@@ -560,7 +570,9 @@ def _skew_kurt_wrap(self, values, axis=None, func=None):
 
     @td.skip_if_no_scipy
     def test_nanskew(self, skipna):
-        from scipy.stats import skew
+        from scipy.stats import (
+            skew,
+        )
 
         func = partial(self._skew_kurt_wrap, func=skew)
         with np.errstate(invalid="ignore"):
@@ -575,7 +587,9 @@ def test_nanskew(self, skipna):
 
     @td.skip_if_no_scipy
     def test_nankurt(self, skipna):
-        from scipy.stats import kurtosis
+        from scipy.stats import (
+            kurtosis,
+        )
 
         func1 = partial(kurtosis, fisher=True)
         func = partial(self._skew_kurt_wrap, func=func1)
@@ -707,7 +721,9 @@ def test_nancorr_pearson(self):
 
     @td.skip_if_no_scipy
     def test_nancorr_kendall(self):
-        from scipy.stats import kendalltau
+        from scipy.stats import (
+            kendalltau,
+        )
 
         targ0 = kendalltau(self.arr_float_2d, self.arr_float1_2d)[0]
         targ1 = kendalltau(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0]
@@ -718,7 +734,9 @@ def test_nancorr_kendall(self):
 
     @td.skip_if_no_scipy
     def test_nancorr_spearman(self):
-        from scipy.stats import spearmanr
+        from scipy.stats import (
+            spearmanr,
+        )
 
         targ0 = spearmanr(self.arr_float_2d, self.arr_float1_2d)[0]
         targ1 = spearmanr(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0]
diff --git a/pandas/tests/test_register_accessor.py b/pandas/tests/test_register_accessor.py
index a1a74dda4bd6f..6493e91a33b3d 100644
--- a/pandas/tests/test_register_accessor.py
+++ b/pandas/tests/test_register_accessor.py
@@ -1,11 +1,15 @@
 import contextlib
-from typing import Generator
+from typing import (
+    Generator,
+)
 
 import pytest
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core import accessor
+from pandas.core import (
+    accessor,
+)
 
 
 def test_dirname_mixin():
diff --git a/pandas/tests/test_sorting.py b/pandas/tests/test_sorting.py
index 44895cc576fd0..ddf1a1a683024 100644
--- a/pandas/tests/test_sorting.py
+++ b/pandas/tests/test_sorting.py
@@ -1,6 +1,12 @@
-from collections import defaultdict
-from datetime import datetime
-from itertools import product
+from collections import (
+    defaultdict,
+)
+from datetime import (
+    datetime,
+)
+from itertools import (
+    product,
+)
 
 import numpy as np
 import pytest
@@ -20,7 +26,9 @@
     merge,
 )
 import pandas._testing as tm
-from pandas.core.algorithms import safe_sort
+from pandas.core.algorithms import (
+    safe_sort,
+)
 import pandas.core.common as com
 from pandas.core.sorting import (
     _decons_group_index,
diff --git a/pandas/tests/test_take.py b/pandas/tests/test_take.py
index 114e28ea4e2a1..33dd98e7657db 100644
--- a/pandas/tests/test_take.py
+++ b/pandas/tests/test_take.py
@@ -1,10 +1,14 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
 import numpy as np
 import pytest
 
-from pandas._libs import iNaT
+from pandas._libs import (
+    iNaT,
+)
 
 import pandas._testing as tm
 import pandas.core.algorithms as algos
diff --git a/pandas/tests/tools/test_to_datetime.py b/pandas/tests/tools/test_to_datetime.py
index dc8b7ce0996a9..291961a7c57a7 100644
--- a/pandas/tests/tools/test_to_datetime.py
+++ b/pandas/tests/tools/test_to_datetime.py
@@ -1,23 +1,33 @@
 """ test to_datetime """
 
 import calendar
-from collections import deque
+from collections import (
+    deque,
+)
 from datetime import (
     date,
     datetime,
     timedelta,
     timezone,
 )
-from decimal import Decimal
+from decimal import (
+    Decimal,
+)
 import locale
 
-from dateutil.parser import parse
-from dateutil.tz.tz import tzoffset
+from dateutil.parser import (
+    parse,
+)
+from dateutil.tz.tz import (
+    tzoffset,
+)
 import numpy as np
 import pytest
 import pytz
 
-from pandas._libs import tslib
+from pandas._libs import (
+    tslib,
+)
 from pandas._libs.tslibs import (
     iNaT,
     parsing,
@@ -28,7 +38,9 @@
 )
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.common import is_datetime64_ns_dtype
+from pandas.core.dtypes.common import (
+    is_datetime64_ns_dtype,
+)
 
 import pandas as pd
 from pandas import (
@@ -43,10 +55,18 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.core.arrays import DatetimeArray
-from pandas.core.tools import datetimes as tools
-from pandas.core.tools.datetimes import start_caching_at
-from pandas.util.version import Version
+from pandas.core.arrays import (
+    DatetimeArray,
+)
+from pandas.core.tools import (
+    datetimes as tools,
+)
+from pandas.core.tools.datetimes import (
+    start_caching_at,
+)
+from pandas.util.version import (
+    Version,
+)
 
 PARSING_ERR_MSG = (
     r"You might want to try:\n"
@@ -1715,7 +1735,9 @@ def test_to_datetime_utc(self):
         assert result.tz is timezone.utc
 
     def test_to_datetime_fixed_offset(self):
-        from pandas.tests.indexes.datetimes.test_timezones import fixed_off
+        from pandas.tests.indexes.datetimes.test_timezones import (
+            fixed_off,
+        )
 
         dates = [
             datetime(2000, 1, 1, tzinfo=fixed_off),
diff --git a/pandas/tests/tools/test_to_numeric.py b/pandas/tests/tools/test_to_numeric.py
index 18b8dd8394133..a33edf80fe13c 100644
--- a/pandas/tests/tools/test_to_numeric.py
+++ b/pandas/tests/tools/test_to_numeric.py
@@ -1,7 +1,9 @@
 import decimal
 
 import numpy as np
-from numpy import iinfo
+from numpy import (
+    iinfo,
+)
 import pytest
 
 import pandas as pd
diff --git a/pandas/tests/tools/test_to_time.py b/pandas/tests/tools/test_to_time.py
index 5046fd9d0edc1..36fd45f87da65 100644
--- a/pandas/tests/tools/test_to_time.py
+++ b/pandas/tests/tools/test_to_time.py
@@ -1,14 +1,22 @@
-from datetime import time
+from datetime import (
+    time,
+)
 import locale
 
 import numpy as np
 import pytest
 
-from pandas.compat import PY311
+from pandas.compat import (
+    PY311,
+)
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
-from pandas.core.tools.times import to_time
+from pandas.core.tools.times import (
+    to_time,
+)
 
 # The tests marked with this are locale-dependent.
 # They pass, except when the machine locale is zh_CN or it_IT.
diff --git a/pandas/tests/tools/test_to_timedelta.py b/pandas/tests/tools/test_to_timedelta.py
index b27a0db4dfe98..8089f5b2dbcfa 100644
--- a/pandas/tests/tools/test_to_timedelta.py
+++ b/pandas/tests/tools/test_to_timedelta.py
@@ -6,7 +6,9 @@
 import numpy as np
 import pytest
 
-from pandas.errors import OutOfBoundsTimedelta
+from pandas.errors import (
+    OutOfBoundsTimedelta,
+)
 
 import pandas as pd
 from pandas import (
@@ -16,7 +18,9 @@
     to_timedelta,
 )
 import pandas._testing as tm
-from pandas.core.arrays import TimedeltaArray
+from pandas.core.arrays import (
+    TimedeltaArray,
+)
 
 
 class TestTimedeltas:
diff --git a/pandas/tests/tseries/frequencies/test_freq_code.py b/pandas/tests/tseries/frequencies/test_freq_code.py
index e961fdc295c96..18aa138e7ca1c 100644
--- a/pandas/tests/tseries/frequencies/test_freq_code.py
+++ b/pandas/tests/tseries/frequencies/test_freq_code.py
@@ -6,7 +6,9 @@
     Resolution,
     to_offset,
 )
-from pandas._libs.tslibs.dtypes import _attrname_to_abbrevs
+from pandas._libs.tslibs.dtypes import (
+    _attrname_to_abbrevs,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/tseries/frequencies/test_frequencies.py b/pandas/tests/tseries/frequencies/test_frequencies.py
index f0af290b2fb69..3e77c8bddda0e 100644
--- a/pandas/tests/tseries/frequencies/test_frequencies.py
+++ b/pandas/tests/tseries/frequencies/test_frequencies.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas._libs.tslibs import offsets
+from pandas._libs.tslibs import (
+    offsets,
+)
 
 from pandas.tseries.frequencies import (
     is_subperiod,
diff --git a/pandas/tests/tseries/frequencies/test_inference.py b/pandas/tests/tseries/frequencies/test_inference.py
index 3badebb224aee..704282c7b022a 100644
--- a/pandas/tests/tseries/frequencies/test_inference.py
+++ b/pandas/tests/tseries/frequencies/test_inference.py
@@ -10,9 +10,15 @@
     DAYS,
     MONTHS,
 )
-from pandas._libs.tslibs.offsets import _get_offset
-from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
-from pandas.compat import is_platform_windows
+from pandas._libs.tslibs.offsets import (
+    _get_offset,
+)
+from pandas._libs.tslibs.period import (
+    INVALID_FREQ_ERR_MSG,
+)
+from pandas.compat import (
+    is_platform_windows,
+)
 
 from pandas import (
     DatetimeIndex,
@@ -27,7 +33,9 @@
     DatetimeArray,
     TimedeltaArray,
 )
-from pandas.core.tools.datetimes import to_datetime
+from pandas.core.tools.datetimes import (
+    to_datetime,
+)
 
 from pandas.tseries import (
     frequencies,
diff --git a/pandas/tests/tseries/holiday/test_calendar.py b/pandas/tests/tseries/holiday/test_calendar.py
index 57acf15443ca8..7c04842ca5f35 100644
--- a/pandas/tests/tseries/holiday/test_calendar.py
+++ b/pandas/tests/tseries/holiday/test_calendar.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/tseries/holiday/test_federal.py b/pandas/tests/tseries/holiday/test_federal.py
index 2565877f8a2a4..e9708a9ee00ab 100644
--- a/pandas/tests/tseries/holiday/test_federal.py
+++ b/pandas/tests/tseries/holiday/test_federal.py
@@ -1,6 +1,10 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from pandas import DatetimeIndex
+from pandas import (
+    DatetimeIndex,
+)
 import pandas._testing as tm
 
 from pandas.tseries.holiday import (
diff --git a/pandas/tests/tseries/holiday/test_holiday.py b/pandas/tests/tseries/holiday/test_holiday.py
index ee83ca144d38a..ac28207ad357d 100644
--- a/pandas/tests/tseries/holiday/test_holiday.py
+++ b/pandas/tests/tseries/holiday/test_holiday.py
@@ -1,9 +1,15 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
-from pytz import utc
+from pytz import (
+    utc,
+)
 
-from pandas import DatetimeIndex
+from pandas import (
+    DatetimeIndex,
+)
 import pandas._testing as tm
 
 from pandas.tseries.holiday import (
diff --git a/pandas/tests/tseries/holiday/test_observance.py b/pandas/tests/tseries/holiday/test_observance.py
index 83038ad254b77..133beed33aeda 100644
--- a/pandas/tests/tseries/holiday/test_observance.py
+++ b/pandas/tests/tseries/holiday/test_observance.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/tseries/offsets/common.py b/pandas/tests/tseries/offsets/common.py
index efb010addad22..cd06246c6b799 100644
--- a/pandas/tests/tseries/offsets/common.py
+++ b/pandas/tests/tseries/offsets/common.py
@@ -1,7 +1,9 @@
 """
 Assertion helpers and base class for offsets tests
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 
 def assert_offset_equal(offset, base, expected):
diff --git a/pandas/tests/tseries/offsets/conftest.py b/pandas/tests/tseries/offsets/conftest.py
index c9c4d6c456c53..0209d588b00a8 100644
--- a/pandas/tests/tseries/offsets/conftest.py
+++ b/pandas/tests/tseries/offsets/conftest.py
@@ -2,10 +2,16 @@
 
 import pytest
 
-from pandas._libs.tslibs import Timestamp
-from pandas._libs.tslibs.offsets import MonthOffset
+from pandas._libs.tslibs import (
+    Timestamp,
+)
+from pandas._libs.tslibs.offsets import (
+    MonthOffset,
+)
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @pytest.fixture(
diff --git a/pandas/tests/tseries/offsets/test_business_day.py b/pandas/tests/tseries/offsets/test_business_day.py
index 7db1921369023..478f85cf08854 100644
--- a/pandas/tests/tseries/offsets/test_business_day.py
+++ b/pandas/tests/tseries/offsets/test_business_day.py
@@ -1,7 +1,9 @@
 """
 Tests for offsets.BDay
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     date,
@@ -28,7 +30,9 @@
     assert_offset_equal,
 )
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/tseries/offsets/test_business_hour.py b/pandas/tests/tseries/offsets/test_business_hour.py
index 319cc053d5d7d..e447b19586952 100644
--- a/pandas/tests/tseries/offsets/test_business_hour.py
+++ b/pandas/tests/tseries/offsets/test_business_hour.py
@@ -1,7 +1,9 @@
 """
 Tests for offsets.BusinessHour
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -25,7 +27,9 @@
     _testing as tm,
     date_range,
 )
-from pandas.tests.tseries.offsets.common import assert_offset_equal
+from pandas.tests.tseries.offsets.common import (
+    assert_offset_equal,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/tseries/offsets/test_business_month.py b/pandas/tests/tseries/offsets/test_business_month.py
index 9f7fb990d238a..25b7755feb767 100644
--- a/pandas/tests/tseries/offsets/test_business_month.py
+++ b/pandas/tests/tseries/offsets/test_business_month.py
@@ -3,9 +3,13 @@
 - BMonthBegin
 - BMonthEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/tseries/offsets/test_business_quarter.py b/pandas/tests/tseries/offsets/test_business_quarter.py
index 44a7f16ab039d..b7510876c1de0 100644
--- a/pandas/tests/tseries/offsets/test_business_quarter.py
+++ b/pandas/tests/tseries/offsets/test_business_quarter.py
@@ -3,9 +3,13 @@
 - BQuarterBegin
 - BQuarterEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/tseries/offsets/test_business_year.py b/pandas/tests/tseries/offsets/test_business_year.py
index 3b7a1025cc19c..17c5309f50d28 100644
--- a/pandas/tests/tseries/offsets/test_business_year.py
+++ b/pandas/tests/tseries/offsets/test_business_year.py
@@ -3,9 +3,13 @@
 - BYearBegin
 - BYearEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/tseries/offsets/test_common.py b/pandas/tests/tseries/offsets/test_common.py
index 1b90b94d8a9da..4261f466b611f 100644
--- a/pandas/tests/tseries/offsets/test_common.py
+++ b/pandas/tests/tseries/offsets/test_common.py
@@ -1,6 +1,10 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from dateutil.tz.tz import tzlocal
+from dateutil.tz.tz import (
+    tzlocal,
+)
 import pytest
 
 from pandas._libs.tslibs import (
diff --git a/pandas/tests/tseries/offsets/test_custom_business_day.py b/pandas/tests/tseries/offsets/test_custom_business_day.py
index 519fb712d0415..12085254bd906 100644
--- a/pandas/tests/tseries/offsets/test_custom_business_day.py
+++ b/pandas/tests/tseries/offsets/test_custom_business_day.py
@@ -9,15 +9,21 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.offsets import CDay
+from pandas._libs.tslibs.offsets import (
+    CDay,
+)
 
 from pandas import (
     _testing as tm,
     read_pickle,
 )
-from pandas.tests.tseries.offsets.common import assert_offset_equal
+from pandas.tests.tseries.offsets.common import (
+    assert_offset_equal,
+)
 
-from pandas.tseries.holiday import USFederalHolidayCalendar
+from pandas.tseries.holiday import (
+    USFederalHolidayCalendar,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/tseries/offsets/test_custom_business_hour.py b/pandas/tests/tseries/offsets/test_custom_business_hour.py
index 38b5d74fe170f..673e152830e99 100644
--- a/pandas/tests/tseries/offsets/test_custom_business_hour.py
+++ b/pandas/tests/tseries/offsets/test_custom_business_hour.py
@@ -1,7 +1,9 @@
 """
 Tests for offsets.CustomBusinessHour
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -11,16 +13,22 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 from pandas._libs.tslibs.offsets import (
     BusinessHour,
     CustomBusinessHour,
     Nano,
 )
 
-from pandas.tests.tseries.offsets.common import assert_offset_equal
+from pandas.tests.tseries.offsets.common import (
+    assert_offset_equal,
+)
 
-from pandas.tseries.holiday import USFederalHolidayCalendar
+from pandas.tseries.holiday import (
+    USFederalHolidayCalendar,
+)
 
 holidays = ["2014-06-27", datetime(2014, 6, 30), np.datetime64("2014-07-02")]
 
diff --git a/pandas/tests/tseries/offsets/test_custom_business_month.py b/pandas/tests/tseries/offsets/test_custom_business_month.py
index 3e2500b8009a2..5c8ccd9f83759 100644
--- a/pandas/tests/tseries/offsets/test_custom_business_month.py
+++ b/pandas/tests/tseries/offsets/test_custom_business_month.py
@@ -4,7 +4,9 @@
 - CustomBusinessMonthBegin
 - CustomBusinessMonthEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     date,
@@ -29,10 +31,16 @@
     assert_is_on_offset,
     assert_offset_equal,
 )
-from pandas.tests.tseries.offsets.test_offsets import _ApplyCases
+from pandas.tests.tseries.offsets.test_offsets import (
+    _ApplyCases,
+)
 
-from pandas.tseries import offsets
-from pandas.tseries.holiday import USFederalHolidayCalendar
+from pandas.tseries import (
+    offsets,
+)
+from pandas.tseries.holiday import (
+    USFederalHolidayCalendar,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/tseries/offsets/test_dst.py b/pandas/tests/tseries/offsets/test_dst.py
index e00b7d0b78059..03dabb626704e 100644
--- a/pandas/tests/tseries/offsets/test_dst.py
+++ b/pandas/tests/tseries/offsets/test_dst.py
@@ -1,12 +1,16 @@
 """
 Tests for DateOffset additions over Daylight Savings Time
 """
-from datetime import timedelta
+from datetime import (
+    timedelta,
+)
 
 import pytest
 import pytz
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 from pandas._libs.tslibs.offsets import (
     BMonthBegin,
     BMonthEnd,
@@ -30,7 +34,9 @@
     YearEnd,
 )
 
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 # error: Module has no attribute "__version__"
 pytz_version = Version(pytz.__version__)  # type: ignore[attr-defined]
diff --git a/pandas/tests/tseries/offsets/test_easter.py b/pandas/tests/tseries/offsets/test_easter.py
index d11a72cc1b9d5..a0522f6a6fa5c 100644
--- a/pandas/tests/tseries/offsets/test_easter.py
+++ b/pandas/tests/tseries/offsets/test_easter.py
@@ -2,15 +2,23 @@
 Tests for the following offsets:
 - Easter
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
-from pandas.tests.tseries.offsets.common import assert_offset_equal
+from pandas.tests.tseries.offsets.common import (
+    assert_offset_equal,
+)
 
-from pandas.tseries.offsets import Easter
+from pandas.tseries.offsets import (
+    Easter,
+)
 
 
 class TestEaster:
diff --git a/pandas/tests/tseries/offsets/test_fiscal.py b/pandas/tests/tseries/offsets/test_fiscal.py
index 7f8c34bc6832e..6a1d65e0f63d2 100644
--- a/pandas/tests/tseries/offsets/test_fiscal.py
+++ b/pandas/tests/tseries/offsets/test_fiscal.py
@@ -1,12 +1,18 @@
 """
 Tests for Fiscal Year and Fiscal Quarter offset classes
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
-from dateutil.relativedelta import relativedelta
+from dateutil.relativedelta import (
+    relativedelta,
+)
 import pytest
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 from pandas.tests.tseries.offsets.common import (
     WeekDay,
     assert_is_on_offset,
diff --git a/pandas/tests/tseries/offsets/test_month.py b/pandas/tests/tseries/offsets/test_month.py
index fc12510369245..4d90782283f63 100644
--- a/pandas/tests/tseries/offsets/test_month.py
+++ b/pandas/tests/tseries/offsets/test_month.py
@@ -5,13 +5,19 @@
 - MonthBegin
 - MonthEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 from pandas._libs.tslibs.offsets import (
     MonthBegin,
     MonthEnd,
diff --git a/pandas/tests/tseries/offsets/test_offsets.py b/pandas/tests/tseries/offsets/test_offsets.py
index 289045a3c4efd..0d8b5a5e898db 100644
--- a/pandas/tests/tseries/offsets/test_offsets.py
+++ b/pandas/tests/tseries/offsets/test_offsets.py
@@ -1,7 +1,9 @@
 """
 Tests of pandas.tseries.offsets
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -28,8 +30,12 @@
     _get_offset,
     _offset_map,
 )
-from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
-from pandas.errors import PerformanceWarning
+from pandas._libs.tslibs.period import (
+    INVALID_FREQ_ERR_MSG,
+)
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 from pandas import (
     DatetimeIndex,
@@ -37,9 +43,13 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.tseries.offsets.common import WeekDay
+from pandas.tests.tseries.offsets.common import (
+    WeekDay,
+)
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 from pandas.tseries.offsets import (
     FY5253,
     BaseOffset,
diff --git a/pandas/tests/tseries/offsets/test_quarter.py b/pandas/tests/tseries/offsets/test_quarter.py
index d183645da507d..2bebfc1f0d191 100644
--- a/pandas/tests/tseries/offsets/test_quarter.py
+++ b/pandas/tests/tseries/offsets/test_quarter.py
@@ -3,9 +3,13 @@
 - QuarterBegin
 - QuarterEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
diff --git a/pandas/tests/tseries/offsets/test_ticks.py b/pandas/tests/tseries/offsets/test_ticks.py
index 69953955ebbce..827e946d3e3b4 100644
--- a/pandas/tests/tseries/offsets/test_ticks.py
+++ b/pandas/tests/tseries/offsets/test_ticks.py
@@ -14,17 +14,25 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.offsets import delta_to_tick
+from pandas._libs.tslibs.offsets import (
+    delta_to_tick,
+)
 
 from pandas import (
     Timedelta,
     Timestamp,
 )
 import pandas._testing as tm
-from pandas._testing._hypothesis import INT_NEG_999_TO_POS_999
-from pandas.tests.tseries.offsets.common import assert_offset_equal
+from pandas._testing._hypothesis import (
+    INT_NEG_999_TO_POS_999,
+)
+from pandas.tests.tseries.offsets.common import (
+    assert_offset_equal,
+)
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 from pandas.tseries.offsets import (
     Hour,
     Micro,
diff --git a/pandas/tests/tseries/offsets/test_week.py b/pandas/tests/tseries/offsets/test_week.py
index f42ff091af277..89caa20054948 100644
--- a/pandas/tests/tseries/offsets/test_week.py
+++ b/pandas/tests/tseries/offsets/test_week.py
@@ -4,7 +4,9 @@
 - WeekOfMonth
 - LastWeekOfMonth
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -13,7 +15,9 @@
 
 import pytest
 
-from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs import (
+    Timestamp,
+)
 from pandas._libs.tslibs.offsets import (
     Day,
     LastWeekOfMonth,
diff --git a/pandas/tests/tseries/offsets/test_year.py b/pandas/tests/tseries/offsets/test_year.py
index 480c875c36e04..7022cc3769ce1 100644
--- a/pandas/tests/tseries/offsets/test_year.py
+++ b/pandas/tests/tseries/offsets/test_year.py
@@ -3,16 +3,24 @@
 - YearBegin
 - YearEnd
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
+from pandas.compat import (
+    is_numpy_dev,
+)
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 from pandas.tests.tseries.offsets.common import (
     assert_is_on_offset,
     assert_offset_equal,
diff --git a/pandas/tests/tslibs/test_api.py b/pandas/tests/tslibs/test_api.py
index a596d4a85074e..6995a276811f3 100644
--- a/pandas/tests/tslibs/test_api.py
+++ b/pandas/tests/tslibs/test_api.py
@@ -1,6 +1,8 @@
 """Tests that the tslibs API is locked down"""
 
-from pandas._libs import tslibs
+from pandas._libs import (
+    tslibs,
+)
 
 
 def test_namespace():
diff --git a/pandas/tests/tslibs/test_array_to_datetime.py b/pandas/tests/tslibs/test_array_to_datetime.py
index ba188c3182f57..3d8f0a65f9129 100644
--- a/pandas/tests/tslibs/test_array_to_datetime.py
+++ b/pandas/tests/tslibs/test_array_to_datetime.py
@@ -5,7 +5,9 @@
     timezone,
 )
 
-from dateutil.tz.tz import tzoffset
+from dateutil.tz.tz import (
+    tzoffset,
+)
 import numpy as np
 import pytest
 
@@ -14,7 +16,9 @@
     tslib,
 )
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/tslibs/test_ccalendar.py b/pandas/tests/tslibs/test_ccalendar.py
index 6a0d0a8d92955..b7eb306cb8d22 100644
--- a/pandas/tests/tslibs/test_ccalendar.py
+++ b/pandas/tests/tslibs/test_ccalendar.py
@@ -3,13 +3,19 @@
     datetime,
 )
 
-from hypothesis import given
+from hypothesis import (
+    given,
+)
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import ccalendar
+from pandas._libs.tslibs import (
+    ccalendar,
+)
 
-from pandas._testing._hypothesis import DATETIME_IN_PD_TIMESTAMP_RANGE_NO_TZ
+from pandas._testing._hypothesis import (
+    DATETIME_IN_PD_TIMESTAMP_RANGE_NO_TZ,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/tslibs/test_conversion.py b/pandas/tests/tslibs/test_conversion.py
index bf9a45c6d9d7a..0767fb0590469 100644
--- a/pandas/tests/tslibs/test_conversion.py
+++ b/pandas/tests/tslibs/test_conversion.py
@@ -1,8 +1,12 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
-from pytz import UTC
+from pytz import (
+    UTC,
+)
 
 from pandas._libs.tslibs import (
     OutOfBoundsTimedelta,
diff --git a/pandas/tests/tslibs/test_fields.py b/pandas/tests/tslibs/test_fields.py
index 9e6464f7727bd..d778e8ced7ae7 100644
--- a/pandas/tests/tslibs/test_fields.py
+++ b/pandas/tests/tslibs/test_fields.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs import fields
+from pandas._libs.tslibs import (
+    fields,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/tslibs/test_libfrequencies.py b/pandas/tests/tslibs/test_libfrequencies.py
index 83f28f6b5dc01..44b93c20ef226 100644
--- a/pandas/tests/tslibs/test_libfrequencies.py
+++ b/pandas/tests/tslibs/test_libfrequencies.py
@@ -1,8 +1,12 @@
 import pytest
 
-from pandas._libs.tslibs.parsing import get_rule_month
+from pandas._libs.tslibs.parsing import (
+    get_rule_month,
+)
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/tslibs/test_liboffsets.py b/pandas/tests/tslibs/test_liboffsets.py
index c189a431146a7..4ca5dfa7e7b5a 100644
--- a/pandas/tests/tslibs/test_liboffsets.py
+++ b/pandas/tests/tslibs/test_liboffsets.py
@@ -1,7 +1,9 @@
 """
 Tests for helper functions in the cython tslibs.offsets
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
@@ -10,9 +12,13 @@
     get_lastbday,
 )
 import pandas._libs.tslibs.offsets as liboffsets
-from pandas._libs.tslibs.offsets import roll_qtrday
+from pandas._libs.tslibs.offsets import (
+    roll_qtrday,
+)
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
 
 @pytest.fixture(params=["start", "end", "business_start", "business_end"])
diff --git a/pandas/tests/tslibs/test_np_datetime.py b/pandas/tests/tslibs/test_np_datetime.py
index 02edf1a093877..06eeebebdf210 100644
--- a/pandas/tests/tslibs/test_np_datetime.py
+++ b/pandas/tests/tslibs/test_np_datetime.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
 from pandas._libs.tslibs.np_datetime import (
     OutOfBoundsDatetime,
     OutOfBoundsTimedelta,
diff --git a/pandas/tests/tslibs/test_parse_iso8601.py b/pandas/tests/tslibs/test_parse_iso8601.py
index 72b136e17445e..3784f2cc66638 100644
--- a/pandas/tests/tslibs/test_parse_iso8601.py
+++ b/pandas/tests/tslibs/test_parse_iso8601.py
@@ -1,10 +1,16 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import pytest
 
-from pandas._libs import tslib
+from pandas._libs import (
+    tslib,
+)
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/tslibs/test_parsing.py b/pandas/tests/tslibs/test_parsing.py
index 6500afdf87beb..56424864359bc 100644
--- a/pandas/tests/tslibs/test_parsing.py
+++ b/pandas/tests/tslibs/test_parsing.py
@@ -1,11 +1,17 @@
 """
 Tests for Timestamp parsing, aimed at pandas/_libs/tslibs/parsing.pyx
 """
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 import re
 
-from dateutil.parser import parse as du_parse
-from dateutil.tz import tzlocal
+from dateutil.parser import (
+    parse as du_parse,
+)
+from dateutil.tz import (
+    tzlocal,
+)
 import numpy as np
 import pytest
 
@@ -13,7 +19,9 @@
     parsing,
     strptime,
 )
-from pandas._libs.tslibs.parsing import parse_datetime_string_with_reso
+from pandas._libs.tslibs.parsing import (
+    parse_datetime_string_with_reso,
+)
 import pandas.util._test_decorators as td
 
 import pandas._testing as tm
diff --git a/pandas/tests/tslibs/test_resolution.py b/pandas/tests/tslibs/test_resolution.py
index 7b2268f16a85f..3973b7e756047 100644
--- a/pandas/tests/tslibs/test_resolution.py
+++ b/pandas/tests/tslibs/test_resolution.py
@@ -5,7 +5,9 @@
     Resolution,
     get_resolution,
 )
-from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs.dtypes import (
+    NpyDatetimeUnit,
+)
 
 
 def test_get_resolution_nano():
diff --git a/pandas/tests/tslibs/test_timezones.py b/pandas/tests/tslibs/test_timezones.py
index 28e4889983fb9..27c6d4d8682fa 100644
--- a/pandas/tests/tslibs/test_timezones.py
+++ b/pandas/tests/tslibs/test_timezones.py
@@ -12,9 +12,13 @@
     conversion,
     timezones,
 )
-from pandas.compat import is_platform_windows
+from pandas.compat import (
+    is_platform_windows,
+)
 
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 
 
 def test_is_utc(utc_fixture):
diff --git a/pandas/tests/tslibs/test_tzconversion.py b/pandas/tests/tslibs/test_tzconversion.py
index c1a56ffb71b02..3b64026a44618 100644
--- a/pandas/tests/tslibs/test_tzconversion.py
+++ b/pandas/tests/tslibs/test_tzconversion.py
@@ -2,7 +2,9 @@
 import pytest
 import pytz
 
-from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
+from pandas._libs.tslibs.tzconversion import (
+    tz_localize_to_utc,
+)
 
 
 class TestTZLocalizeToUTC:
diff --git a/pandas/tests/util/test_assert_attr_equal.py b/pandas/tests/util/test_assert_attr_equal.py
index bbbb0bf2172b1..2ba6d02d60a8d 100644
--- a/pandas/tests/util/test_assert_attr_equal.py
+++ b/pandas/tests/util/test_assert_attr_equal.py
@@ -1,8 +1,12 @@
-from types import SimpleNamespace
+from types import (
+    SimpleNamespace,
+)
 
 import pytest
 
-from pandas.core.dtypes.common import is_float
+from pandas.core.dtypes.common import (
+    is_float,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/util/test_assert_categorical_equal.py b/pandas/tests/util/test_assert_categorical_equal.py
index d07bbcbc460a1..fc0e162d54cd7 100644
--- a/pandas/tests/util/test_assert_categorical_equal.py
+++ b/pandas/tests/util/test_assert_categorical_equal.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import Categorical
+from pandas import (
+    Categorical,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/util/test_assert_extension_array_equal.py b/pandas/tests/util/test_assert_extension_array_equal.py
index dec10e5b76894..0a05e8cfd37c3 100644
--- a/pandas/tests/util/test_assert_extension_array_equal.py
+++ b/pandas/tests/util/test_assert_extension_array_equal.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas import array
+from pandas import (
+    array,
+)
 import pandas._testing as tm
-from pandas.core.arrays.sparse import SparseArray
+from pandas.core.arrays.sparse import (
+    SparseArray,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/util/test_assert_frame_equal.py b/pandas/tests/util/test_assert_frame_equal.py
index a6e29e243b0c8..ab76c4f34348f 100644
--- a/pandas/tests/util/test_assert_frame_equal.py
+++ b/pandas/tests/util/test_assert_frame_equal.py
@@ -1,7 +1,9 @@
 import pytest
 
 import pandas as pd
-from pandas import DataFrame
+from pandas import (
+    DataFrame,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/util/test_assert_interval_array_equal.py b/pandas/tests/util/test_assert_interval_array_equal.py
index 8cc4ade3d7e95..989068a6b6b0e 100644
--- a/pandas/tests/util/test_assert_interval_array_equal.py
+++ b/pandas/tests/util/test_assert_interval_array_equal.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas import interval_range
+from pandas import (
+    interval_range,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/util/test_assert_numpy_array_equal.py b/pandas/tests/util/test_assert_numpy_array_equal.py
index 660402ee857e3..27525435bf7ca 100644
--- a/pandas/tests/util/test_assert_numpy_array_equal.py
+++ b/pandas/tests/util/test_assert_numpy_array_equal.py
@@ -4,7 +4,9 @@
 import pytest
 
 import pandas as pd
-from pandas import Timestamp
+from pandas import (
+    Timestamp,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/util/test_deprecate.py b/pandas/tests/util/test_deprecate.py
index 92f422b8269f5..1a7df12f665a0 100644
--- a/pandas/tests/util/test_deprecate.py
+++ b/pandas/tests/util/test_deprecate.py
@@ -1,8 +1,12 @@
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
 import pytest
 
-from pandas.util._decorators import deprecate
+from pandas.util._decorators import (
+    deprecate,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/util/test_deprecate_kwarg.py b/pandas/tests/util/test_deprecate_kwarg.py
index b165e9fba0e4f..91fa66d286e5c 100644
--- a/pandas/tests/util/test_deprecate_kwarg.py
+++ b/pandas/tests/util/test_deprecate_kwarg.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.util._decorators import deprecate_kwarg
+from pandas.util._decorators import (
+    deprecate_kwarg,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/util/test_deprecate_nonkeyword_arguments.py b/pandas/tests/util/test_deprecate_nonkeyword_arguments.py
index 2ea3dae19a3e4..b9c6b606aa86e 100644
--- a/pandas/tests/util/test_deprecate_nonkeyword_arguments.py
+++ b/pandas/tests/util/test_deprecate_nonkeyword_arguments.py
@@ -5,7 +5,9 @@
 import inspect
 import warnings
 
-from pandas.util._decorators import deprecate_nonkeyword_arguments
+from pandas.util._decorators import (
+    deprecate_nonkeyword_arguments,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/util/test_doc.py b/pandas/tests/util/test_doc.py
index 50859564e654f..873db5a295652 100644
--- a/pandas/tests/util/test_doc.py
+++ b/pandas/tests/util/test_doc.py
@@ -1,6 +1,10 @@
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+)
 
 
 @doc(method="cumsum", operation="sum")
diff --git a/pandas/tests/util/test_hashing.py b/pandas/tests/util/test_hashing.py
index c2977b81a9b4a..2d1b3ccaab2cb 100644
--- a/pandas/tests/util/test_hashing.py
+++ b/pandas/tests/util/test_hashing.py
@@ -9,7 +9,9 @@
     Series,
 )
 import pandas._testing as tm
-from pandas.core.util.hashing import hash_tuples
+from pandas.core.util.hashing import (
+    hash_tuples,
+)
 from pandas.util import (
     hash_array,
     hash_pandas_object,
diff --git a/pandas/tests/util/test_numba.py b/pandas/tests/util/test_numba.py
index 27b68ff0f6044..4bad9575bdfef 100644
--- a/pandas/tests/util/test_numba.py
+++ b/pandas/tests/util/test_numba.py
@@ -2,7 +2,9 @@
 
 import pandas.util._test_decorators as td
 
-from pandas import option_context
+from pandas import (
+    option_context,
+)
 
 
 @td.skip_if_installed("numba")
diff --git a/pandas/tests/util/test_rewrite_warning.py b/pandas/tests/util/test_rewrite_warning.py
index f847a06d8ea8d..3867b55d0eb03 100644
--- a/pandas/tests/util/test_rewrite_warning.py
+++ b/pandas/tests/util/test_rewrite_warning.py
@@ -2,7 +2,9 @@
 
 import pytest
 
-from pandas.util._exceptions import rewrite_warning
+from pandas.util._exceptions import (
+    rewrite_warning,
+)
 
 import pandas._testing as tm
 
diff --git a/pandas/tests/util/test_util.py b/pandas/tests/util/test_util.py
index 802be634192a3..168f4d02470b9 100644
--- a/pandas/tests/util/test_util.py
+++ b/pandas/tests/util/test_util.py
@@ -2,7 +2,9 @@
 
 import pytest
 
-from pandas import compat
+from pandas import (
+    compat,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/util/test_validate_args.py b/pandas/tests/util/test_validate_args.py
index 77e6b01ba1180..93ccb37f2bf4e 100644
--- a/pandas/tests/util/test_validate_args.py
+++ b/pandas/tests/util/test_validate_args.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.util._validators import validate_args
+from pandas.util._validators import (
+    validate_args,
+)
 
 _fname = "func"
 
diff --git a/pandas/tests/util/test_validate_args_and_kwargs.py b/pandas/tests/util/test_validate_args_and_kwargs.py
index 54d94d2194909..0d9ae8f7eeec8 100644
--- a/pandas/tests/util/test_validate_args_and_kwargs.py
+++ b/pandas/tests/util/test_validate_args_and_kwargs.py
@@ -1,6 +1,8 @@
 import pytest
 
-from pandas.util._validators import validate_args_and_kwargs
+from pandas.util._validators import (
+    validate_args_and_kwargs,
+)
 
 _fname = "func"
 
diff --git a/pandas/tests/util/test_validate_inclusive.py b/pandas/tests/util/test_validate_inclusive.py
index c1254c614ab30..227f8f6eaae88 100644
--- a/pandas/tests/util/test_validate_inclusive.py
+++ b/pandas/tests/util/test_validate_inclusive.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas.util._validators import validate_inclusive
+from pandas.util._validators import (
+    validate_inclusive,
+)
 
 import pandas as pd
 
diff --git a/pandas/tests/window/moments/test_moments_consistency_expanding.py b/pandas/tests/window/moments/test_moments_consistency_expanding.py
index dafc60a057c0f..69e976e9a77f6 100644
--- a/pandas/tests/window/moments/test_moments_consistency_expanding.py
+++ b/pandas/tests/window/moments/test_moments_consistency_expanding.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/window/moments/test_moments_consistency_rolling.py b/pandas/tests/window/moments/test_moments_consistency_rolling.py
index 62bfc66b124f3..d7126cc2d15a9 100644
--- a/pandas/tests/window/moments/test_moments_consistency_rolling.py
+++ b/pandas/tests/window/moments/test_moments_consistency_rolling.py
@@ -1,7 +1,9 @@
 import numpy as np
 import pytest
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/window/test_apply.py b/pandas/tests/window/test_apply.py
index 56c2432ab1429..d1866712ad9be 100644
--- a/pandas/tests/window/test_apply.py
+++ b/pandas/tests/window/test_apply.py
@@ -16,7 +16,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 def f(x):
diff --git a/pandas/tests/window/test_base_indexer.py b/pandas/tests/window/test_base_indexer.py
index fc4a20e4bb568..896398ca1f80f 100644
--- a/pandas/tests/window/test_base_indexer.py
+++ b/pandas/tests/window/test_base_indexer.py
@@ -19,7 +19,9 @@
     VariableOffsetWindowIndexer,
 )
 
-from pandas.tseries.offsets import BusinessDay
+from pandas.tseries.offsets import (
+    BusinessDay,
+)
 
 
 def test_bad_get_window_bounds_signature():
diff --git a/pandas/tests/window/test_cython_aggregations.py b/pandas/tests/window/test_cython_aggregations.py
index c60cb6ea74ec0..85a197fff152b 100644
--- a/pandas/tests/window/test_cython_aggregations.py
+++ b/pandas/tests/window/test_cython_aggregations.py
@@ -1,4 +1,6 @@
-from functools import partial
+from functools import (
+    partial,
+)
 import sys
 
 import numpy as np
@@ -6,7 +8,9 @@
 
 import pandas._libs.window.aggregations as window_aggregations
 
-from pandas import Series
+from pandas import (
+    Series,
+)
 import pandas._testing as tm
 
 
diff --git a/pandas/tests/window/test_dtypes.py b/pandas/tests/window/test_dtypes.py
index 4007320b5de33..e54942cd63f47 100644
--- a/pandas/tests/window/test_dtypes.py
+++ b/pandas/tests/window/test_dtypes.py
@@ -1,9 +1,13 @@
 import numpy as np
 import pytest
 
-from pandas.errors import DataError
+from pandas.errors import (
+    DataError,
+)
 
-from pandas.core.dtypes.common import pandas_dtype
+from pandas.core.dtypes.common import (
+    pandas_dtype,
+)
 
 from pandas import (
     NA,
diff --git a/pandas/tests/window/test_groupby.py b/pandas/tests/window/test_groupby.py
index eb4fc06aa523e..8d965f1d30bb1 100644
--- a/pandas/tests/window/test_groupby.py
+++ b/pandas/tests/window/test_groupby.py
@@ -11,8 +11,12 @@
     to_datetime,
 )
 import pandas._testing as tm
-from pandas.api.indexers import BaseIndexer
-from pandas.core.groupby.groupby import get_groupby
+from pandas.api.indexers import (
+    BaseIndexer,
+)
+from pandas.core.groupby.groupby import (
+    get_groupby,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/window/test_numba.py b/pandas/tests/window/test_numba.py
index dbafcf12513e0..6090a36a1c16b 100644
--- a/pandas/tests/window/test_numba.py
+++ b/pandas/tests/window/test_numba.py
@@ -6,7 +6,9 @@
     is_platform_mac,
     is_platform_windows,
 )
-from pandas.errors import NumbaUtilError
+from pandas.errors import (
+    NumbaUtilError,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
diff --git a/pandas/tests/window/test_pairwise.py b/pandas/tests/window/test_pairwise.py
index 695627668b80b..f3b01bb57acdc 100644
--- a/pandas/tests/window/test_pairwise.py
+++ b/pandas/tests/window/test_pairwise.py
@@ -11,7 +11,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.core.algorithms import safe_sort
+from pandas.core.algorithms import (
+    safe_sort,
+)
 
 
 @pytest.fixture(
diff --git a/pandas/tests/window/test_rolling.py b/pandas/tests/window/test_rolling.py
index e8533b3ca2619..4791d199df603 100644
--- a/pandas/tests/window/test_rolling.py
+++ b/pandas/tests/window/test_rolling.py
@@ -25,10 +25,16 @@
     to_timedelta,
 )
 import pandas._testing as tm
-from pandas.api.indexers import BaseIndexer
-from pandas.core.indexers.objects import VariableOffsetWindowIndexer
+from pandas.api.indexers import (
+    BaseIndexer,
+)
+from pandas.core.indexers.objects import (
+    VariableOffsetWindowIndexer,
+)
 
-from pandas.tseries.offsets import BusinessDay
+from pandas.tseries.offsets import (
+    BusinessDay,
+)
 
 
 def test_doc_string():
diff --git a/pandas/tests/window/test_rolling_functions.py b/pandas/tests/window/test_rolling_functions.py
index c4519701da7ab..72f1caf6bcaad 100644
--- a/pandas/tests/window/test_rolling_functions.py
+++ b/pandas/tests/window/test_rolling_functions.py
@@ -1,4 +1,6 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+)
 
 import numpy as np
 import pytest
@@ -15,7 +17,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/pandas/tests/window/test_rolling_quantile.py b/pandas/tests/window/test_rolling_quantile.py
index e78e997f220b5..8b192c9bb5a5d 100644
--- a/pandas/tests/window/test_rolling_quantile.py
+++ b/pandas/tests/window/test_rolling_quantile.py
@@ -1,4 +1,6 @@
-from functools import partial
+from functools import (
+    partial,
+)
 
 import numpy as np
 import pytest
@@ -12,7 +14,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 def scoreatpercentile(a, per):
diff --git a/pandas/tests/window/test_rolling_skew_kurt.py b/pandas/tests/window/test_rolling_skew_kurt.py
index 43db772251219..e5419d5860063 100644
--- a/pandas/tests/window/test_rolling_skew_kurt.py
+++ b/pandas/tests/window/test_rolling_skew_kurt.py
@@ -1,4 +1,6 @@
-from functools import partial
+from functools import (
+    partial,
+)
 
 import numpy as np
 import pytest
@@ -14,7 +16,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @td.skip_if_no_scipy
diff --git a/pandas/tests/window/test_timeseries_window.py b/pandas/tests/window/test_timeseries_window.py
index 0de4b863183df..1933720f89e28 100644
--- a/pandas/tests/window/test_timeseries_window.py
+++ b/pandas/tests/window/test_timeseries_window.py
@@ -12,7 +12,9 @@
 )
 import pandas._testing as tm
 
-from pandas.tseries import offsets
+from pandas.tseries import (
+    offsets,
+)
 
 
 @pytest.fixture
diff --git a/pandas/tests/window/test_win_type.py b/pandas/tests/window/test_win_type.py
index 8438e0727c174..075481c6bfdd5 100644
--- a/pandas/tests/window/test_win_type.py
+++ b/pandas/tests/window/test_win_type.py
@@ -11,7 +11,9 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.api.indexers import BaseIndexer
+from pandas.api.indexers import (
+    BaseIndexer,
+)
 
 
 @pytest.fixture(
diff --git a/pandas/tseries/__init__.py b/pandas/tseries/__init__.py
index dd4ce02b19453..02a3345314377 100644
--- a/pandas/tseries/__init__.py
+++ b/pandas/tseries/__init__.py
@@ -1,4 +1,6 @@
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+)
 
 if TYPE_CHECKING:
     # import modules that have public classes/functions:
diff --git a/pandas/tseries/api.py b/pandas/tseries/api.py
index 9fdf95d09fe52..3cf2043cb3bcb 100644
--- a/pandas/tseries/api.py
+++ b/pandas/tseries/api.py
@@ -2,7 +2,11 @@
 Timeseries API
 """
 
-from pandas.tseries import offsets
-from pandas.tseries.frequencies import infer_freq
+from pandas.tseries import (
+    offsets,
+)
+from pandas.tseries.frequencies import (
+    infer_freq,
+)
 
 __all__ = ["infer_freq", "offsets"]
diff --git a/pandas/tseries/frequencies.py b/pandas/tseries/frequencies.py
index e1af8c0b48c2f..969de269e6ce6 100644
--- a/pandas/tseries/frequencies.py
+++ b/pandas/tseries/frequencies.py
@@ -1,8 +1,12 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import numpy as np
 
-from pandas._libs.algos import unique_deltas
+from pandas._libs.algos import (
+    unique_deltas,
+)
 from pandas._libs.tslibs import (
     Timestamp,
     get_unit_from_dtype,
@@ -25,9 +29,15 @@
     Day,
     to_offset,
 )
-from pandas._libs.tslibs.parsing import get_rule_month
-from pandas._typing import npt
-from pandas.util._decorators import cache_readonly
+from pandas._libs.tslibs.parsing import (
+    get_rule_month,
+)
+from pandas._typing import (
+    npt,
+)
+from pandas.util._decorators import (
+    cache_readonly,
+)
 
 from pandas.core.dtypes.common import (
     is_datetime64_dtype,
@@ -40,7 +50,9 @@
     ABCSeries,
 )
 
-from pandas.core.algorithms import unique
+from pandas.core.algorithms import (
+    unique,
+)
 
 # ---------------------------------------------------------------------
 # Offset names ("time rules") and related functions
diff --git a/pandas/tseries/holiday.py b/pandas/tseries/holiday.py
index 9f1e166cd6afb..b0c00e240023d 100644
--- a/pandas/tseries/holiday.py
+++ b/pandas/tseries/holiday.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from datetime import (
     datetime,
@@ -17,7 +19,9 @@
 )
 import numpy as np
 
-from pandas.errors import PerformanceWarning
+from pandas.errors import (
+    PerformanceWarning,
+)
 
 from pandas import (
     DateOffset,
diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py
index 169c9cc18a7fd..bda3b1b8a6e8a 100644
--- a/pandas/tseries/offsets.py
+++ b/pandas/tseries/offsets.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from pandas._libs.tslibs.offsets import (
     FY5253,
diff --git a/pandas/util/_decorators.py b/pandas/util/_decorators.py
index 968da7cf60105..6afcd1b07b5fe 100644
--- a/pandas/util/_decorators.py
+++ b/pandas/util/_decorators.py
@@ -1,8 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from functools import wraps
+from functools import (
+    wraps,
+)
 import inspect
-from textwrap import dedent
+from textwrap import (
+    dedent,
+)
 from typing import (
     Any,
     Callable,
@@ -11,12 +17,16 @@
 )
 import warnings
 
-from pandas._libs.properties import cache_readonly
+from pandas._libs.properties import (
+    cache_readonly,
+)
 from pandas._typing import (
     F,
     T,
 )
-from pandas.util._exceptions import find_stack_level
+from pandas.util._exceptions import (
+    find_stack_level,
+)
 
 
 def deprecate(
diff --git a/pandas/util/_doctools.py b/pandas/util/_doctools.py
index 9e3ab80d1d40a..e28b07772d5e5 100644
--- a/pandas/util/_doctools.py
+++ b/pandas/util/_doctools.py
@@ -1,6 +1,10 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
-from typing import Iterable
+from typing import (
+    Iterable,
+)
 
 import numpy as np
 
@@ -55,7 +59,9 @@ def plot(self, left, right, labels: Iterable[str] = (), vertical: bool = True):
         vertical : bool, default True
             If True, use vertical layout. If False, use horizontal layout.
         """
-        from matplotlib import gridspec
+        from matplotlib import (
+            gridspec,
+        )
         import matplotlib.pyplot as plt
 
         if not isinstance(left, list):
@@ -141,7 +147,9 @@ def _make_table(self, ax, df, title: str, height: float | None = None) -> None:
             ax.set_visible(False)
             return
 
-        from pandas import plotting
+        from pandas import (
+            plotting,
+        )
 
         idx_nlevels = df.index.nlevels
         col_nlevels = df.columns.nlevels
diff --git a/pandas/util/_exceptions.py b/pandas/util/_exceptions.py
index 1eefd06a133fb..7235b33d4c1c5 100644
--- a/pandas/util/_exceptions.py
+++ b/pandas/util/_exceptions.py
@@ -1,10 +1,14 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import contextlib
 import inspect
 import os
 import re
-from typing import Generator
+from typing import (
+    Generator,
+)
 import warnings
 
 
diff --git a/pandas/util/_print_versions.py b/pandas/util/_print_versions.py
index 2526fafe5851f..7f60d5f9ee361 100644
--- a/pandas/util/_print_versions.py
+++ b/pandas/util/_print_versions.py
@@ -1,4 +1,6 @@
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import codecs
 import json
@@ -8,7 +10,9 @@
 import struct
 import sys
 
-from pandas._typing import JSONSerializable
+from pandas._typing import (
+    JSONSerializable,
+)
 from pandas.compat._optional import (
     VERSIONS,
     get_version,
@@ -21,7 +25,9 @@ def _get_commit_hash() -> str | None:
     Use vendored versioneer code to get git hash, which handles
     git worktree correctly.
     """
-    from pandas._version import get_versions
+    from pandas._version import (
+        get_versions,
+    )
 
     versions = get_versions()
     return versions["full-revisionid"]
diff --git a/pandas/util/_str_methods.py b/pandas/util/_str_methods.py
index 8f7aef80bc108..d26c56aa4f8d6 100644
--- a/pandas/util/_str_methods.py
+++ b/pandas/util/_str_methods.py
@@ -6,7 +6,9 @@
 NOTE: when pyupgrade --py39-plus removes nearly everything in this file,
 this file and the associated tests should be removed.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import sys
 
diff --git a/pandas/util/_test_decorators.py b/pandas/util/_test_decorators.py
index dfe48d994cb0e..2f2b7537cd077 100644
--- a/pandas/util/_test_decorators.py
+++ b/pandas/util/_test_decorators.py
@@ -23,28 +23,40 @@ def test_foo():
 
 For more information, refer to the ``pytest`` documentation on ``skipif``.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import locale
-from typing import Callable
+from typing import (
+    Callable,
+)
 
 import numpy as np
 import pytest
 
-from pandas._config import get_option
+from pandas._config import (
+    get_option,
+)
 
-from pandas._typing import F
+from pandas._typing import (
+    F,
+)
 from pandas.compat import (
     IS64,
     is_platform_windows,
 )
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 from pandas.core.computation.expressions import (
     NUMEXPR_INSTALLED,
     USE_NUMEXPR,
 )
-from pandas.util.version import Version
+from pandas.util.version import (
+    Version,
+)
 
 
 def safe_import(mod_name: str, min_version: str | None = None):
diff --git a/pandas/util/_tester.py b/pandas/util/_tester.py
index 1732b75a2a2b9..4c276ba99961e 100644
--- a/pandas/util/_tester.py
+++ b/pandas/util/_tester.py
@@ -1,12 +1,16 @@
 """
 Entrypoint for testing from the top-level namespace.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import os
 import sys
 
-from pandas.compat._optional import import_optional_dependency
+from pandas.compat._optional import (
+    import_optional_dependency,
+)
 
 PKG = os.path.dirname(os.path.dirname(__file__))
 
diff --git a/pandas/util/_validators.py b/pandas/util/_validators.py
index b60169f8364da..c7b796d3a5819 100644
--- a/pandas/util/_validators.py
+++ b/pandas/util/_validators.py
@@ -2,7 +2,9 @@
 Module that contains many useful utilities
 for validating data or function arguments
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 from typing import (
     Iterable,
@@ -280,7 +282,9 @@ def validate_fillna_kwargs(value, method, validate_scalar_dict_value: bool = Tru
     -------
     value, method : object
     """
-    from pandas.core.missing import clean_fill_method
+    from pandas.core.missing import (
+        clean_fill_method,
+    )
 
     if value is None and method is None:
         raise ValueError("Must specify a fill 'value' or 'method'.")
diff --git a/pandas/util/version/__init__.py b/pandas/util/version/__init__.py
index 0b5e1d149daaa..ab289da4189f2 100644
--- a/pandas/util/version/__init__.py
+++ b/pandas/util/version/__init__.py
@@ -6,7 +6,9 @@
 # This file is dual licensed under the terms of the Apache License, Version
 # 2.0, and the BSD License. See the LICENSE file in the root of this repository
 # for complete details.
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import collections
 import itertools
diff --git a/pyproject.toml b/pyproject.toml
index baffbd18329ff..2a4890d8998b1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -516,7 +516,7 @@ known_post_core = ["pandas.tseries", "pandas.io", "pandas.plotting"]
 sections = ["FUTURE", "STDLIB", "THIRDPARTY" ,"PRE_LIBS" , "PRE_CORE", "DTYPES", "FIRSTPARTY", "POST_CORE", "LOCALFOLDER"]
 profile = "black"
 combine_as_imports = true
-force_grid_wrap = 2
+force_grid_wrap = 1
 force_sort_within_sections = true
 skip_glob = "env"
 skip = "pandas/__init__.py"
diff --git a/scripts/check_test_naming.py b/scripts/check_test_naming.py
index 33890feb8692d..822cbd4d72c5c 100644
--- a/scripts/check_test_naming.py
+++ b/scripts/check_test_naming.py
@@ -8,12 +8,16 @@
 NOTE: if this finds a false positive, you can add the comment `# not a test` to the
 class or function definition. Though hopefully that shouldn't be necessary.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import ast
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import sys
 from typing import (
     Iterator,
diff --git a/scripts/generate_pxi.py b/scripts/generate_pxi.py
index 3462b97aefcbf..8ded98d41e1ac 100644
--- a/scripts/generate_pxi.py
+++ b/scripts/generate_pxi.py
@@ -1,7 +1,9 @@
 import argparse
 import os
 
-from Cython import Tempita
+from Cython import (
+    Tempita,
+)
 
 
 def process_tempita(pxifile, outfile):
diff --git a/scripts/no_bool_in_generic.py b/scripts/no_bool_in_generic.py
index 92e2c0983b25b..82f64d6977bde 100644
--- a/scripts/no_bool_in_generic.py
+++ b/scripts/no_bool_in_generic.py
@@ -10,12 +10,16 @@
 The function `visit` is adapted from a function by the same name in pyupgrade:
 https://github.com/asottile/pyupgrade/blob/5495a248f2165941c5d3b82ac3226ba7ad1fa59d/pyupgrade/_data.py#L70-L113
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import ast
 import collections
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 
 def visit(tree: ast.Module) -> dict[int, list[int]]:
diff --git a/scripts/pandas_errors_documented.py b/scripts/pandas_errors_documented.py
index 52c1e2008b8a0..bc33c7e343cfe 100644
--- a/scripts/pandas_errors_documented.py
+++ b/scripts/pandas_errors_documented.py
@@ -6,13 +6,17 @@
 
     pre-commit run pandas-errors-documented --all-files
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import ast
 import pathlib
 import sys
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 API_PATH = pathlib.Path("doc/source/reference/testing.rst").resolve()
 
diff --git a/scripts/run_autotyping.py b/scripts/run_autotyping.py
index 0a1156399734d..13be2e78ed19e 100644
--- a/scripts/run_autotyping.py
+++ b/scripts/run_autotyping.py
@@ -4,12 +4,16 @@
 ``autotyping`` wants the files to come after, see
 https://github.com/pandas-dev/pandas/issues/48808#issuecomment-1259711679.
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import subprocess
 import sys
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 
 def main(argv: Sequence[str] | None = None) -> None:
diff --git a/scripts/run_stubtest.py b/scripts/run_stubtest.py
index db7a327f231b5..8a3ed3fb86e48 100644
--- a/scripts/run_stubtest.py
+++ b/scripts/run_stubtest.py
@@ -1,10 +1,14 @@
 import os
-from pathlib import Path
+from pathlib import (
+    Path,
+)
 import sys
 import tempfile
 import warnings
 
-from mypy import stubtest
+from mypy import (
+    stubtest,
+)
 
 import pandas as pd
 
diff --git a/scripts/run_vulture.py b/scripts/run_vulture.py
index edf0a1588305c..06dea3ba7b072 100644
--- a/scripts/run_vulture.py
+++ b/scripts/run_vulture.py
@@ -3,7 +3,9 @@
 import argparse
 import sys
 
-from vulture import Vulture
+from vulture import (
+    Vulture,
+)
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
diff --git a/scripts/tests/test_check_test_naming.py b/scripts/tests/test_check_test_naming.py
index 9ddaf2fe2a97d..b5c48a7b5bad9 100644
--- a/scripts/tests/test_check_test_naming.py
+++ b/scripts/tests/test_check_test_naming.py
@@ -1,6 +1,8 @@
 import pytest
 
-from scripts.check_test_naming import main
+from scripts.check_test_naming import (
+    main,
+)
 
 
 @pytest.mark.parametrize(
diff --git a/scripts/tests/test_no_bool_in_generic.py b/scripts/tests/test_no_bool_in_generic.py
index 0bc91c5d1cf1e..43625396009ac 100644
--- a/scripts/tests/test_no_bool_in_generic.py
+++ b/scripts/tests/test_no_bool_in_generic.py
@@ -1,4 +1,6 @@
-from scripts.no_bool_in_generic import check_for_bool_in_generic
+from scripts.no_bool_in_generic import (
+    check_for_bool_in_generic,
+)
 
 BAD_FILE = "def foo(a: bool) -> bool:\n    return bool(0)"
 GOOD_FILE = "def foo(a: bool_t) -> bool_t:\n    return bool(0)"
diff --git a/scripts/tests/test_use_io_common_urlopen.py b/scripts/tests/test_use_io_common_urlopen.py
index 4bba550a4cc0e..0586b303d6049 100644
--- a/scripts/tests/test_use_io_common_urlopen.py
+++ b/scripts/tests/test_use_io_common_urlopen.py
@@ -1,6 +1,8 @@
 import pytest
 
-from scripts.use_io_common_urlopen import use_io_common_urlopen
+from scripts.use_io_common_urlopen import (
+    use_io_common_urlopen,
+)
 
 PATH = "t.py"
 
diff --git a/scripts/tests/test_use_pd_array_in_core.py b/scripts/tests/test_use_pd_array_in_core.py
index 8f13a6e735899..94e560a287ea3 100644
--- a/scripts/tests/test_use_pd_array_in_core.py
+++ b/scripts/tests/test_use_pd_array_in_core.py
@@ -1,6 +1,8 @@
 import pytest
 
-from scripts.use_pd_array_in_core import use_pd_array
+from scripts.use_pd_array_in_core import (
+    use_pd_array,
+)
 
 BAD_FILE_0 = "import pandas as pd\npd.array"
 BAD_FILE_1 = "\nfrom pandas import array"
diff --git a/scripts/tests/test_validate_docstrings.py b/scripts/tests/test_validate_docstrings.py
index c413d98957007..e411dd1e43ffc 100644
--- a/scripts/tests/test_validate_docstrings.py
+++ b/scripts/tests/test_validate_docstrings.py
@@ -3,7 +3,9 @@
 
 import pytest
 
-from scripts import validate_docstrings
+from scripts import (
+    validate_docstrings,
+)
 
 
 class BadDocstrings:
diff --git a/scripts/tests/test_validate_unwanted_patterns.py b/scripts/tests/test_validate_unwanted_patterns.py
index 90eca13b21628..26ca72123f068 100644
--- a/scripts/tests/test_validate_unwanted_patterns.py
+++ b/scripts/tests/test_validate_unwanted_patterns.py
@@ -2,7 +2,9 @@
 
 import pytest
 
-from scripts import validate_unwanted_patterns
+from scripts import (
+    validate_unwanted_patterns,
+)
 
 
 class TestBarePytestRaises:
diff --git a/scripts/use_io_common_urlopen.py b/scripts/use_io_common_urlopen.py
index 11d8378fce574..543c7f9a30765 100644
--- a/scripts/use_io_common_urlopen.py
+++ b/scripts/use_io_common_urlopen.py
@@ -9,12 +9,16 @@
 
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import ast
 import sys
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 ERROR_MESSAGE = (
     "{path}:{lineno}:{col_offset}: "
diff --git a/scripts/use_pd_array_in_core.py b/scripts/use_pd_array_in_core.py
index 61ba070e52f1b..f3164ba8bfaa5 100644
--- a/scripts/use_pd_array_in_core.py
+++ b/scripts/use_pd_array_in_core.py
@@ -9,12 +9,16 @@
 
 """
 
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import ast
 import sys
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 ERROR_MESSAGE = (
     "{path}:{lineno}:{col_offset}: "
diff --git a/scripts/validate_docstrings.py b/scripts/validate_docstrings.py
index a0eb02d069c58..d5b2dc4b525b6 100755
--- a/scripts/validate_docstrings.py
+++ b/scripts/validate_docstrings.py
@@ -13,7 +13,9 @@
     $ ./validate_docstrings.py
     $ ./validate_docstrings.py pandas.DataFrame.head
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import doctest
@@ -29,7 +31,9 @@
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy
-from numpydoc.docscrape import get_doc_object
+from numpydoc.docscrape import (
+    get_doc_object,
+)
 from numpydoc.validate import (
     Validator,
     validate,
diff --git a/scripts/validate_exception_location.py b/scripts/validate_exception_location.py
index 7af5e749b4b96..14cea22f030b7 100644
--- a/scripts/validate_exception_location.py
+++ b/scripts/validate_exception_location.py
@@ -18,13 +18,17 @@
 As a pre-commit hook:
     pre-commit run validate-errors-locations --all-files
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import ast
 import pathlib
 import sys
-from typing import Sequence
+from typing import (
+    Sequence,
+)
 
 API_PATH = pathlib.Path("doc/source/reference/testing.rst").resolve()
 ERROR_MESSAGE = (
diff --git a/scripts/validate_min_versions_in_sync.py b/scripts/validate_min_versions_in_sync.py
index 3c12f17fe72cf..d3494ce9d9391 100755
--- a/scripts/validate_min_versions_in_sync.py
+++ b/scripts/validate_min_versions_in_sync.py
@@ -12,7 +12,9 @@
 
     pre-commit run validate-min-versions-in-sync --all-files
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import pathlib
 import sys
@@ -24,9 +26,13 @@
 else:
     import tomli as tomllib
 
-from typing import Any
+from typing import (
+    Any,
+)
 
-from scripts.generate_pip_deps_from_conda import RENAME
+from scripts.generate_pip_deps_from_conda import (
+    RENAME,
+)
 
 DOC_PATH = pathlib.Path("doc/source/getting_started/install.rst").resolve()
 CI_PATH = next(
diff --git a/scripts/validate_rst_title_capitalization.py b/scripts/validate_rst_title_capitalization.py
index 44d59aecde718..ba8b2319544b0 100755
--- a/scripts/validate_rst_title_capitalization.py
+++ b/scripts/validate_rst_title_capitalization.py
@@ -11,12 +11,16 @@
 From the command-line:
     python scripts/validate_rst_title_capitalization.py <rst file>
 """
-from __future__ import annotations
+from __future__ import (
+    annotations,
+)
 
 import argparse
 import re
 import sys
-from typing import Iterable
+from typing import (
+    Iterable,
+)
 
 CAPITALIZATION_EXCEPTIONS = {
     "pandas",
diff --git a/setup.py b/setup.py
index b6dfcc5fbdb0d..9f6c9afca1122 100755
--- a/setup.py
+++ b/setup.py
@@ -9,20 +9,28 @@
 import argparse
 import multiprocessing
 import os
-from os.path import join as pjoin
+from os.path import (
+    join as pjoin,
+)
 import platform
 import shutil
 import sys
-from sysconfig import get_config_vars
+from sysconfig import (
+    get_config_vars,
+)
 
 import numpy
-from pkg_resources import parse_version
+from pkg_resources import (
+    parse_version,
+)
 from setuptools import (
     Command,
     Extension,
     setup,
 )
-from setuptools.command.build_ext import build_ext as _build_ext
+from setuptools.command.build_ext import (
+    build_ext as _build_ext,
+)
 import versioneer
 
 cmdclass = versioneer.get_cmdclass()
@@ -44,7 +52,9 @@ def is_platform_mac():
         Tempita,
         __version__ as _CYTHON_VERSION,
     )
-    from Cython.Build import cythonize
+    from Cython.Build import (
+        cythonize,
+    )
 
     _CYTHON_INSTALLED = parse_version(_CYTHON_VERSION) >= parse_version(min_cython_ver)
 except ImportError:
diff --git a/typings/numba.pyi b/typings/numba.pyi
index 36cccb894049b..8315892661f5e 100644
--- a/typings/numba.pyi
+++ b/typings/numba.pyi
@@ -8,7 +8,9 @@ from typing import (
 
 import numba
 
-from pandas._typing import F
+from pandas._typing import (
+    F,
+)
 
 def __getattr__(name: str) -> Any: ...  # incomplete
 @overload