fixed linting and a doctest

Author: smartvinnetou

pandas/core/generic.py

@@ -1,11 +1,13 @@
 import collections
-from datetime import timedelta
 import functools
 import gc
 import json
 import operator
 import pickle
 import re
+import warnings
+import weakref
+from datetime import timedelta
 from textwrap import dedent
 from typing import (
     TYPE_CHECKING,
@@ -23,13 +25,14 @@
     Type,
     Union,
 )
-import warnings
-import weakref
 
 import numpy as np
 
+import pandas as pd
+import pandas.core.algorithms as algos
+import pandas.core.common as com
+import pandas.core.indexing as indexing
 from pandas._config import config
-
 from pandas._libs import lib
 from pandas._libs.tslibs import Timestamp, to_offset
 from pandas._typing import (
@@ -47,17 +50,9 @@
 from pandas.compat import set_function_name
 from pandas.compat._optional import import_optional_dependency
 from pandas.compat.numpy import function as nv
-from pandas.errors import AbstractMethodError, InvalidIndexError
-from pandas.util._decorators import (
-    doc,
-    rewrite_axis_style_signature, Appender,
-)
-from pandas.util._validators import (
-    validate_bool_kwarg,
-    validate_fillna_kwargs,
-    validate_percentile,
-)
-
+from pandas.core import missing, nanops
+from pandas.core.base import PandasObject, SelectionMixin
+from pandas.core.construction import create_series_with_explicit_dtype
 from pandas.core.dtypes.common import (
     ensure_int64,
     ensure_object,
@@ -81,25 +76,27 @@
 from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
 from pandas.core.dtypes.inference import is_hashable
 from pandas.core.dtypes.missing import isna, notna
-
-import pandas as pd
-from pandas.core import missing, nanops
-import pandas.core.algorithms as algos
-from pandas.core.base import PandasObject, SelectionMixin
-import pandas.core.common as com
-from pandas.core.construction import create_series_with_explicit_dtype
 from pandas.core.indexes.api import Index, MultiIndex, RangeIndex, ensure_index
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.period import Period, PeriodIndex
-import pandas.core.indexing as indexing
 from pandas.core.internals import BlockManager
 from pandas.core.missing import find_valid_index
 from pandas.core.ops import _align_method_FRAME
-
+from pandas.errors import AbstractMethodError, InvalidIndexError
 from pandas.io.formats import format as fmt
 from pandas.io.formats.format import DataFrameFormatter, format_percentiles
 from pandas.io.formats.printing import pprint_thing
 from pandas.tseries.offsets import Tick
+from pandas.util._decorators import (
+    doc,
+    rewrite_axis_style_signature,
+    Appender,
+)
+from pandas.util._validators import (
+    validate_bool_kwarg,
+    validate_fillna_kwargs,
+    validate_percentile,
+)
 
 if TYPE_CHECKING:
     from pandas.core.resample import Resampler
@@ -10490,7 +10487,7 @@ def transform(self, func, *args, **kwargs):
 
         Examples
         --------
-        >>> df = pd.DataFrame({{'A': range(3), 'B': range(1, 4)}})
+        >>> df = pd.DataFrame(dict(A=range(3), B=range(1, 4)))
         >>> df
            A  B
         0  0  1