diff --git a/pandas/_config/config.py b/pandas/_config/config.py
index 2df940817498c..f1959cd70ed3a 100644
--- a/pandas/_config/config.py
+++ b/pandas/_config/config.py
@@ -82,7 +82,8 @@
 
 
 class OptionError(AttributeError, KeyError):
-    """Exception for pandas.options, backwards compatible with KeyError
+    """
+    Exception for pandas.options, backwards compatible with KeyError
     checks
     """
 
@@ -545,7 +546,8 @@ def deprecate_option(
 
 
 def _select_options(pat: str) -> List[str]:
-    """returns a list of keys matching `pat`
+    """
+    returns a list of keys matching `pat`
 
     if pat=="all", returns all registered options
     """
@@ -708,7 +710,8 @@ def pp(name: str, ks: Iterable[str]) -> List[str]:
 
 @contextmanager
 def config_prefix(prefix):
-    """contextmanager for multiple invocations of API with a common prefix
+    """
+    contextmanager for multiple invocations of API with a common prefix
 
     supported API functions: (register / get / set )__option
 
diff --git a/pandas/_testing.py b/pandas/_testing.py
index 01d2bfe0458c8..b6ce06554cd59 100644
--- a/pandas/_testing.py
+++ b/pandas/_testing.py
@@ -743,7 +743,8 @@ def repr_class(x):
 
 
 def assert_attr_equal(attr, left, right, obj="Attributes"):
-    """checks attributes are equal. Both objects must have attribute.
+    """
+    checks attributes are equal. Both objects must have attribute.
 
     Parameters
     ----------
@@ -820,7 +821,8 @@ def assert_is_sorted(seq):
 def assert_categorical_equal(
     left, right, check_dtype=True, check_category_order=True, obj="Categorical"
 ):
-    """Test that Categoricals are equivalent.
+    """
+    Test that Categoricals are equivalent.
 
     Parameters
     ----------
@@ -860,7 +862,8 @@ def assert_categorical_equal(
 
 
 def assert_interval_array_equal(left, right, exact="equiv", obj="IntervalArray"):
-    """Test that two IntervalArrays are equivalent.
+    """
+    Test that two IntervalArrays are equivalent.
 
     Parameters
     ----------
@@ -1009,7 +1012,8 @@ def _raise(left, right, err_msg):
 def assert_extension_array_equal(
     left, right, check_dtype=True, check_less_precise=False, check_exact=False
 ):
-    """Check that left and right ExtensionArrays are equal.
+    """
+    Check that left and right ExtensionArrays are equal.
 
     Parameters
     ----------
@@ -1489,7 +1493,8 @@ def assert_sp_array_equal(
     check_fill_value=True,
     consolidate_block_indices=False,
 ):
-    """Check that the left and right SparseArray are equal.
+    """
+    Check that the left and right SparseArray are equal.
 
     Parameters
     ----------
@@ -1724,7 +1729,8 @@ def _make_timeseries(start="2000-01-01", end="2000-12-31", freq="1D", seed=None)
 
 
 def all_index_generator(k=10):
-    """Generator which can be iterated over to get instances of all the various
+    """
+    Generator which can be iterated over to get instances of all the various
     index classes.
 
     Parameters
@@ -1763,7 +1769,8 @@ def index_subclass_makers_generator():
 
 
 def all_timeseries_index_generator(k=10):
-    """Generator which can be iterated over to get instances of all the classes
+    """
+    Generator which can be iterated over to get instances of all the classes
     which represent time-series.
 
     Parameters
@@ -1854,7 +1861,8 @@ def makePeriodFrame(nper=None):
 def makeCustomIndex(
     nentries, nlevels, prefix="#", names=False, ndupe_l=None, idx_type=None
 ):
-    """Create an index/multindex with given dimensions, levels, names, etc'
+    """
+    Create an index/multindex with given dimensions, levels, names, etc'
 
     nentries - number of entries in index
     nlevels - number of levels (> 1 produces multindex)
@@ -2144,7 +2152,8 @@ def makeMissingDataframe(density=0.9, random_state=None):
 
 
 def optional_args(decorator):
-    """allows a decorator to take optional positional and keyword arguments.
+    """
+    allows a decorator to take optional positional and keyword arguments.
     Assumes that taking a single, callable, positional argument means that
     it is decorating a function, i.e. something like this::
 
@@ -2216,7 +2225,8 @@ def _get_default_network_errors():
 
 
 def can_connect(url, error_classes=None):
-    """Try to connect to the given url. True if succeeds, False if IOError
+    """
+    Try to connect to the given url. True if succeeds, False if IOError
     raised
 
     Parameters
@@ -2584,7 +2594,8 @@ def use_numexpr(use, min_elements=None):
 
 
 def test_parallel(num_threads=2, kwargs_list=None):
-    """Decorator to run the same function multiple times in parallel.
+    """
+    Decorator to run the same function multiple times in parallel.
 
     Parameters
     ----------
diff --git a/pandas/compat/chainmap.py b/pandas/compat/chainmap.py
index 588bd24ddf797..a84dbb4a661e4 100644
--- a/pandas/compat/chainmap.py
+++ b/pandas/compat/chainmap.py
@@ -5,7 +5,8 @@
 
 
 class DeepChainMap(ChainMap[_KT, _VT]):
-    """Variant of ChainMap that allows direct updates to inner scopes.
+    """
+    Variant of ChainMap that allows direct updates to inner scopes.
 
     Only works when all passed mapping are mutable.
     """
diff --git a/pandas/core/aggregation.py b/pandas/core/aggregation.py
index 79b87f146b9a7..448f84d58d7a0 100644
--- a/pandas/core/aggregation.py
+++ b/pandas/core/aggregation.py
@@ -98,7 +98,8 @@ def normalize_keyword_aggregation(kwargs: dict) -> Tuple[dict, List[str], List[i
 def _make_unique_kwarg_list(
     seq: Sequence[Tuple[Any, Any]]
 ) -> Sequence[Tuple[Any, Any]]:
-    """Uniquify aggfunc name of the pairs in the order list
+    """
+    Uniquify aggfunc name of the pairs in the order list
 
     Examples:
     --------
diff --git a/pandas/core/arrays/base.py b/pandas/core/arrays/base.py
index c3c91cea43f6b..b5da6d4c11616 100644
--- a/pandas/core/arrays/base.py
+++ b/pandas/core/arrays/base.py
@@ -1,4 +1,5 @@
-"""An interface for extending pandas with custom arrays.
+"""
+An interface for extending pandas with custom arrays.
 
 .. warning::
 
@@ -213,7 +214,8 @@ def _from_sequence(cls, scalars, dtype=None, copy=False):
 
     @classmethod
     def _from_sequence_of_strings(cls, strings, dtype=None, copy=False):
-        """Construct a new ExtensionArray from a sequence of strings.
+        """
+        Construct a new ExtensionArray from a sequence of strings.
 
         .. versionadded:: 0.24.0
 
@@ -961,7 +963,8 @@ def __repr__(self) -> str:
         return f"{class_name}{data}\nLength: {len(self)}, dtype: {self.dtype}"
 
     def _formatter(self, boxed: bool = False) -> Callable[[Any], Optional[str]]:
-        """Formatting function for scalar values.
+        """
+        Formatting function for scalar values.
 
         This is used in the default '__repr__'. The returned formatting
         function receives instances of your scalar type.
diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index 6c7c35e9b4763..19602010fd882 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -1891,7 +1891,8 @@ def __contains__(self, key) -> bool:
         return contains(self, key, container=self._codes)
 
     def _tidy_repr(self, max_vals=10, footer=True) -> str:
-        """ a short repr displaying only max_vals and an optional (but default
+        """
+        a short repr displaying only max_vals and an optional (but default
         footer)
         """
         num = max_vals // 2
diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index 07aa8d49338c8..e39d1dc03adf5 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -134,7 +134,8 @@ def _simple_new(cls, values, **kwargs):
 
     @property
     def _scalar_type(self) -> Type[DatetimeLikeScalar]:
-        """The scalar associated with this datelike
+        """
+        The scalar associated with this datelike
 
         * PeriodArray : Period
         * DatetimeArray : Timestamp
diff --git a/pandas/core/arrays/integer.py b/pandas/core/arrays/integer.py
index 642ae6d4deacb..f1e0882def13b 100644
--- a/pandas/core/arrays/integer.py
+++ b/pandas/core/arrays/integer.py
@@ -477,7 +477,8 @@ def astype(self, dtype, copy: bool = True) -> ArrayLike:
 
     @property
     def _ndarray_values(self) -> np.ndarray:
-        """Internal pandas method for lossy conversion to a NumPy ndarray.
+        """
+        Internal pandas method for lossy conversion to a NumPy ndarray.
 
         This method is not part of the pandas interface.
 
@@ -492,7 +493,8 @@ def _values_for_factorize(self) -> Tuple[np.ndarray, float]:
         return self.to_numpy(na_value=np.nan), np.nan
 
     def _values_for_argsort(self) -> np.ndarray:
-        """Return values for sorting.
+        """
+        Return values for sorting.
 
         Returns
         -------
diff --git a/pandas/core/arrays/interval.py b/pandas/core/arrays/interval.py
index c8bb0878b564d..ab3ee5bbcdc3a 100644
--- a/pandas/core/arrays/interval.py
+++ b/pandas/core/arrays/interval.py
@@ -460,7 +460,8 @@ def from_tuples(cls, data, closed="right", copy=False, dtype=None):
         return cls.from_arrays(left, right, closed, copy=False, dtype=dtype)
 
     def _validate(self):
-        """Verify that the IntervalArray is valid.
+        """
+        Verify that the IntervalArray is valid.
 
         Checks that
 
diff --git a/pandas/core/arrays/sparse/scipy_sparse.py b/pandas/core/arrays/sparse/scipy_sparse.py
index eff9c03386a38..e77256a5aaadd 100644
--- a/pandas/core/arrays/sparse/scipy_sparse.py
+++ b/pandas/core/arrays/sparse/scipy_sparse.py
@@ -17,7 +17,8 @@ def _check_is_partition(parts, whole):
 
 
 def _to_ijv(ss, row_levels=(0,), column_levels=(1,), sort_labels=False):
-    """ For arbitrary (MultiIndexed) sparse Series return
+    """
+    For arbitrary (MultiIndexed) sparse Series return
     (v, i, j, ilabels, jlabels) where (v, (i, j)) is suitable for
     passing to scipy.sparse.coo constructor.
     """
@@ -44,7 +45,8 @@ def get_indexers(levels):
         # labels_to_i[:] = np.arange(labels_to_i.shape[0])
 
         def _get_label_to_i_dict(labels, sort_labels=False):
-            """ Return dict of unique labels to number.
+            """
+            Return dict of unique labels to number.
             Optionally sort by label.
             """
             labels = Index(map(tuple, labels)).unique().tolist()  # squish
diff --git a/pandas/core/computation/ops.py b/pandas/core/computation/ops.py
index 5563d3ae27118..7ed089b283903 100644
--- a/pandas/core/computation/ops.py
+++ b/pandas/core/computation/ops.py
@@ -1,4 +1,5 @@
-"""Operator classes for eval.
+"""
+Operator classes for eval.
 """
 
 from datetime import datetime
@@ -248,7 +249,8 @@ def is_datetime(self) -> bool:
 
 
 def _in(x, y):
-    """Compute the vectorized membership of ``x in y`` if possible, otherwise
+    """
+    Compute the vectorized membership of ``x in y`` if possible, otherwise
     use Python.
     """
     try:
@@ -263,7 +265,8 @@ def _in(x, y):
 
 
 def _not_in(x, y):
-    """Compute the vectorized membership of ``x not in y`` if possible,
+    """
+    Compute the vectorized membership of ``x not in y`` if possible,
     otherwise use Python.
     """
     try:
@@ -445,7 +448,8 @@ def evaluate(self, env, engine: str, parser, term_type, eval_in_python):
         return term_type(name, env=env)
 
     def convert_values(self):
-        """Convert datetimes to a comparable value in an expression.
+        """
+        Convert datetimes to a comparable value in an expression.
         """
 
         def stringify(value):
diff --git a/pandas/core/computation/parsing.py b/pandas/core/computation/parsing.py
index ce213c8532834..92a2c20cd2a9e 100644
--- a/pandas/core/computation/parsing.py
+++ b/pandas/core/computation/parsing.py
@@ -1,4 +1,5 @@
-""":func:`~pandas.eval` source string parsing functions
+"""
+:func:`~pandas.eval` source string parsing functions
 """
 
 from io import StringIO
diff --git a/pandas/core/computation/pytables.py b/pandas/core/computation/pytables.py
index 097c3c22aa6c3..828ec11c2bd38 100644
--- a/pandas/core/computation/pytables.py
+++ b/pandas/core/computation/pytables.py
@@ -149,7 +149,8 @@ def is_valid(self) -> bool:
 
     @property
     def is_in_table(self) -> bool:
-        """ return True if this is a valid column name for generation (e.g. an
+        """
+        return True if this is a valid column name for generation (e.g. an
         actual column in the table)
         """
         return self.queryables.get(self.lhs) is not None
@@ -175,7 +176,8 @@ def generate(self, v) -> str:
         return f"({self.lhs} {self.op} {val})"
 
     def convert_value(self, v) -> "TermValue":
-        """ convert the expression that is in the term to something that is
+        """
+        convert the expression that is in the term to something that is
         accepted by pytables
         """
 
diff --git a/pandas/core/computation/scope.py b/pandas/core/computation/scope.py
index 70dcf4defdb52..937c81fdeb8d6 100644
--- a/pandas/core/computation/scope.py
+++ b/pandas/core/computation/scope.py
@@ -31,7 +31,8 @@ def ensure_scope(
 
 
 def _replacer(x) -> str:
-    """Replace a number with its hexadecimal representation. Used to tag
+    """
+    Replace a number with its hexadecimal representation. Used to tag
     temporary variables with their calling scope's id.
     """
     # get the hex repr of the binary char and remove 0x and pad by pad_size
diff --git a/pandas/core/dtypes/cast.py b/pandas/core/dtypes/cast.py
index 011c09c9ca1ef..1c969d40c2c7f 100644
--- a/pandas/core/dtypes/cast.py
+++ b/pandas/core/dtypes/cast.py
@@ -105,7 +105,8 @@ def is_nested_object(obj) -> bool:
 
 
 def maybe_downcast_to_dtype(result, dtype):
-    """ try to cast to the specified dtype (e.g. convert back to bool/int
+    """
+    try to cast to the specified dtype (e.g. convert back to bool/int
     or could be an astype of float64->float32
     """
     do_round = False
@@ -750,7 +751,8 @@ def maybe_upcast(values, fill_value=np.nan, dtype=None, copy: bool = False):
 
 
 def invalidate_string_dtypes(dtype_set):
-    """Change string like dtypes to object for
+    """
+    Change string like dtypes to object for
     ``DataFrame.select_dtypes()``.
     """
     non_string_dtypes = dtype_set - {np.dtype("S").type, np.dtype("<U").type}
@@ -1216,7 +1218,8 @@ def try_timedelta(v):
 
 
 def maybe_cast_to_datetime(value, dtype, errors: str = "raise"):
-    """ try to cast the array/value to a datetimelike dtype, converting float
+    """
+    try to cast the array/value to a datetimelike dtype, converting float
     nan to iNaT
     """
     from pandas.core.tools.timedeltas import to_timedelta
diff --git a/pandas/core/dtypes/concat.py b/pandas/core/dtypes/concat.py
index 003c3505885bb..49034616b374a 100644
--- a/pandas/core/dtypes/concat.py
+++ b/pandas/core/dtypes/concat.py
@@ -136,7 +136,8 @@ def is_nonempty(x) -> bool:
 
 
 def concat_categorical(to_concat, axis: int = 0):
-    """Concatenate an object/categorical array of arrays, each of which is a
+    """
+    Concatenate an object/categorical array of arrays, each of which is a
     single dtype
 
     Parameters
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 1a16f8792e9e7..ec72541128708 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -281,21 +281,24 @@ def _validate_dtype(self, dtype):
 
     @property
     def _constructor(self: FrameOrSeries) -> Type[FrameOrSeries]:
-        """Used when a manipulation result has the same dimensions as the
+        """
+        Used when a manipulation result has the same dimensions as the
         original.
         """
         raise AbstractMethodError(self)
 
     @property
     def _constructor_sliced(self):
-        """Used when a manipulation result has one lower dimension(s) as the
+        """
+        Used when a manipulation result has one lower dimension(s) as the
         original, such as DataFrame single columns slicing.
         """
         raise AbstractMethodError(self)
 
     @property
     def _constructor_expanddim(self):
-        """Used when a manipulation result has one higher dimension as the
+        """
+        Used when a manipulation result has one higher dimension as the
         original, such as Series.to_frame()
         """
         raise NotImplementedError
@@ -346,7 +349,8 @@ def _construct_axes_dict(self, axes=None, **kwargs):
     def _construct_axes_from_arguments(
         self, args, kwargs, require_all: bool = False, sentinel=None
     ):
-        """Construct and returns axes if supplied in args/kwargs.
+        """
+        Construct and returns axes if supplied in args/kwargs.
 
         If require_all, raise if all axis arguments are not supplied
         return a tuple of (axes, kwargs).
@@ -1735,7 +1739,8 @@ def keys(self):
         return self._info_axis
 
     def items(self):
-        """Iterate over (label, values) on info axis
+        """
+        Iterate over (label, values) on info axis
 
         This is index for Series and columns for DataFrame.
 
@@ -3115,18 +3120,22 @@ def to_csv(
     # Lookup Caching
 
     def _set_as_cached(self, item, cacher) -> None:
-        """Set the _cacher attribute on the calling object with a weakref to
+        """
+        Set the _cacher attribute on the calling object with a weakref to
         cacher.
         """
         self._cacher = (item, weakref.ref(cacher))
 
     def _reset_cacher(self) -> None:
-        """Reset the cacher."""
+        """
+        Reset the cacher.
+        """
         if hasattr(self, "_cacher"):
             del self._cacher
 
     def _maybe_cache_changed(self, item, value) -> None:
-        """The object has called back to us saying maybe it has changed.
+        """
+        The object has called back to us saying maybe it has changed.
         """
         self._data.set(item, value)
 
@@ -5073,7 +5082,8 @@ def __finalize__(
         return self
 
     def __getattr__(self, name: str):
-        """After regular attribute access, try looking up the name
+        """
+        After regular attribute access, try looking up the name
         This allows simpler access to columns for interactive use.
         """
         # Note: obj.x will always call obj.__getattribute__('x') prior to
@@ -5091,7 +5101,8 @@ def __getattr__(self, name: str):
             return object.__getattribute__(self, name)
 
     def __setattr__(self, name: str, value) -> None:
-        """After regular attribute access, try setting the name
+        """
+        After regular attribute access, try setting the name
         This allows simpler access to columns for interactive use.
         """
         # first try regular attribute access via __getattribute__, so that
@@ -5131,7 +5142,8 @@ def __setattr__(self, name: str, value) -> None:
                 object.__setattr__(self, name, value)
 
     def _dir_additions(self):
-        """ add the string-like attributes from the info_axis.
+        """
+        add the string-like attributes from the info_axis.
         If info_axis is a MultiIndex, it's first level values are used.
         """
         additions = {
@@ -5145,7 +5157,8 @@ def _dir_additions(self):
     # Consolidation of internals
 
     def _protect_consolidate(self, f):
-        """Consolidate _data -- if the blocks have changed, then clear the
+        """
+        Consolidate _data -- if the blocks have changed, then clear the
         cache
         """
         blocks_before = len(self._data.blocks)
diff --git a/pandas/core/indexes/category.py b/pandas/core/indexes/category.py
index bb62d500311df..adb2ed9211bfe 100644
--- a/pandas/core/indexes/category.py
+++ b/pandas/core/indexes/category.py
@@ -519,7 +519,8 @@ def reindex(self, target, method=None, level=None, limit=None, tolerance=None):
         return new_target, indexer
 
     def _reindex_non_unique(self, target):
-        """ reindex from a non-unique; which CategoricalIndex's are almost
+        """
+        reindex from a non-unique; which CategoricalIndex's are almost
         always
         """
         new_target, indexer = self.reindex(target)
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index cb8b9cc04fc24..46017377f2b9c 100755
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -85,7 +85,8 @@ class IndexingError(Exception):
 
 
 class IndexingMixin:
-    """Mixin for adding .loc/.iloc/.at/.iat to Datafames and Series.
+    """
+    Mixin for adding .loc/.iloc/.at/.iat to Datafames and Series.
     """
 
     @property
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 7d6ef11719b3a..34fa4c0e6544e 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -256,7 +256,8 @@ def mgr_locs(self, new_mgr_locs):
 
     @property
     def array_dtype(self):
-        """ the dtype to return if I want to construct this block as an
+        """
+        the dtype to return if I want to construct this block as an
         array
         """
         return self.dtype
@@ -374,7 +375,8 @@ def delete(self, loc):
         self.mgr_locs = self.mgr_locs.delete(loc)
 
     def apply(self, func, **kwargs) -> List["Block"]:
-        """ apply the function to my values; return a block if we are not
+        """
+        apply the function to my values; return a block if we are not
         one
         """
         with np.errstate(all="ignore"):
@@ -400,7 +402,8 @@ def _split_op_result(self, result) -> List["Block"]:
         return [result]
 
     def fillna(self, value, limit=None, inplace=False, downcast=None):
-        """ fillna on the block with the value. If we fail, then convert to
+        """
+        fillna on the block with the value. If we fail, then convert to
         ObjectBlock and try again
         """
         inplace = validate_bool_kwarg(inplace, "inplace")
@@ -648,7 +651,8 @@ def convert(
         timedelta: bool = True,
         coerce: bool = False,
     ):
-        """ attempt to coerce any object types to better types return a copy
+        """
+        attempt to coerce any object types to better types return a copy
         of the block (if copy = True) by definition we are not an ObjectBlock
         here!
         """
@@ -693,7 +697,8 @@ def copy(self, deep=True):
     def replace(
         self, to_replace, value, inplace=False, filter=None, regex=False, convert=True
     ):
-        """replace the to_replace value with value, possible to create new
+        """
+        replace the to_replace value with value, possible to create new
         blocks here this is just a call to putmask. regex is not used here.
         It is used in ObjectBlocks.  It is here for API compatibility.
         """
@@ -913,7 +918,8 @@ def setitem(self, indexer, value):
         return block
 
     def putmask(self, mask, new, align=True, inplace=False, axis=0, transpose=False):
-        """ putmask the data to the block; it is possible that we may create a
+        """
+        putmask the data to the block; it is possible that we may create a
         new dtype of block
 
         return the resulting block(s)
@@ -1446,7 +1452,8 @@ def equals(self, other) -> bool:
         return array_equivalent(self.values, other.values)
 
     def _unstack(self, unstacker_func, new_columns, n_rows, fill_value):
-        """Return a list of unstacked blocks of self
+        """
+        Return a list of unstacked blocks of self
 
         Parameters
         ----------
@@ -1584,7 +1591,8 @@ class NonConsolidatableMixIn:
     _validate_ndim = False
 
     def __init__(self, values, placement, ndim=None):
-        """Initialize a non-consolidatable block.
+        """
+        Initialize a non-consolidatable block.
 
         'ndim' may be inferred from 'placement'.
 
@@ -1699,7 +1707,8 @@ def _get_unstack_items(self, unstacker, new_columns):
 
 
 class ExtensionBlock(NonConsolidatableMixIn, Block):
-    """Block for holding extension types.
+    """
+    Block for holding extension types.
 
     Notes
     -----
@@ -1757,7 +1766,8 @@ def is_numeric(self):
         return self.values.dtype._is_numeric
 
     def setitem(self, indexer, value):
-        """Set the value inplace, returning a same-typed block.
+        """
+        Set the value inplace, returning a same-typed block.
 
         This differs from Block.setitem by not allowing setitem to change
         the dtype of the Block.
@@ -2291,7 +2301,8 @@ def _holder(self):
         return DatetimeArray
 
     def _maybe_coerce_values(self, values):
-        """Input validation for values passed to __init__. Ensure that
+        """
+        Input validation for values passed to __init__. Ensure that
         we have datetime64TZ, coercing if necessary.
 
         Parameters
@@ -2580,7 +2591,8 @@ def __init__(self, values, placement=None, ndim=2):
 
     @property
     def is_bool(self):
-        """ we can be a bool if we have only bool values but are of type
+        """
+        we can be a bool if we have only bool values but are of type
         object
         """
         return lib.is_bool_array(self.values.ravel())
@@ -2593,7 +2605,8 @@ def convert(
         timedelta: bool = True,
         coerce: bool = False,
     ):
-        """ attempt to coerce any object types to better types return a copy of
+        """
+        attempt to coerce any object types to better types return a copy of
         the block (if copy = True) by definition we ARE an ObjectBlock!!!!!
 
         can return multiple blocks!
@@ -2886,7 +2899,8 @@ def _holder(self):
 
     @property
     def array_dtype(self):
-        """ the dtype to return if I want to construct this block as an
+        """
+        the dtype to return if I want to construct this block as an
         array
         """
         return np.object_
diff --git a/pandas/core/internals/construction.py b/pandas/core/internals/construction.py
index 9dd4312a39525..57ed2555761be 100644
--- a/pandas/core/internals/construction.py
+++ b/pandas/core/internals/construction.py
@@ -534,7 +534,8 @@ def _list_of_series_to_arrays(data, columns, coerce_float=False, dtype=None):
 
 
 def _list_of_dict_to_arrays(data, columns, coerce_float=False, dtype=None):
-    """Convert list of dicts to numpy arrays
+    """
+    Convert list of dicts to numpy arrays
 
     if `columns` is not passed, column names are inferred from the records
     - for OrderedDict and dicts, the column names match
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index fb20b5e89ccf3..69ceb95985140 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -1756,7 +1756,8 @@ def form_blocks(arrays, names, axes):
 
 
 def _simple_blockify(tuples, dtype):
-    """ return a single array of a block that has a single dtype; if dtype is
+    """
+    return a single array of a block that has a single dtype; if dtype is
     not None, coerce to this dtype
     """
     values, placement = _stack_arrays(tuples, dtype)
@@ -1815,7 +1816,8 @@ def _shape_compat(x):
 def _interleaved_dtype(
     blocks: List[Block],
 ) -> Optional[Union[np.dtype, ExtensionDtype]]:
-    """Find the common dtype for `blocks`.
+    """
+    Find the common dtype for `blocks`.
 
     Parameters
     ----------
diff --git a/pandas/core/nanops.py b/pandas/core/nanops.py
index 6115c4af41b25..a5c609473760d 100644
--- a/pandas/core/nanops.py
+++ b/pandas/core/nanops.py
@@ -652,7 +652,8 @@ def _get_counts_nanvar(
     ddof: int,
     dtype: Dtype = float,
 ) -> Tuple[Union[int, np.ndarray], Union[int, np.ndarray]]:
-    """ Get the count of non-null values along an axis, accounting
+    """
+    Get the count of non-null values along an axis, accounting
     for degrees of freedom.
 
     Parameters
@@ -956,7 +957,8 @@ def nanskew(
     skipna: bool = True,
     mask: Optional[np.ndarray] = None,
 ) -> float:
-    """ Compute the sample skewness.
+    """
+    Compute the sample skewness.
 
     The statistic computed here is the adjusted Fisher-Pearson standardized
     moment coefficient G1. The algorithm computes this coefficient directly
@@ -1194,7 +1196,8 @@ def _get_counts(
     axis: Optional[int],
     dtype: Dtype = float,
 ) -> Union[int, np.ndarray]:
-    """ Get the count of non-null values along an axis
+    """
+    Get the count of non-null values along an axis
 
     Parameters
     ----------
diff --git a/pandas/core/reshape/tile.py b/pandas/core/reshape/tile.py
index e499158a13b0c..86417faf6cd11 100644
--- a/pandas/core/reshape/tile.py
+++ b/pandas/core/reshape/tile.py
@@ -587,7 +587,8 @@ def _round_frac(x, precision: int):
 
 
 def _infer_precision(base_precision: int, bins) -> int:
-    """Infer an appropriate precision for _round_frac
+    """
+    Infer an appropriate precision for _round_frac
     """
     for precision in range(base_precision, 20):
         levels = [_round_frac(b, precision) for b in bins]
diff --git a/pandas/io/common.py b/pandas/io/common.py
index beb6c9d97aff3..c52583eed27ec 100644
--- a/pandas/io/common.py
+++ b/pandas/io/common.py
@@ -74,8 +74,9 @@ def is_url(url) -> bool:
 def _expand_user(
     filepath_or_buffer: FilePathOrBuffer[AnyStr],
 ) -> FilePathOrBuffer[AnyStr]:
-    """Return the argument with an initial component of ~ or ~user
-       replaced by that user's home directory.
+    """
+    Return the argument with an initial component of ~ or ~user
+    replaced by that user's home directory.
 
     Parameters
     ----------
@@ -103,7 +104,8 @@ def validate_header_arg(header) -> None:
 def stringify_path(
     filepath_or_buffer: FilePathOrBuffer[AnyStr],
 ) -> FilePathOrBuffer[AnyStr]:
-    """Attempt to convert a path-like object to a string.
+    """
+    Attempt to convert a path-like object to a string.
 
     Parameters
     ----------
diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
index 70c09151258ff..97959bd125113 100644
--- a/pandas/io/excel/_base.py
+++ b/pandas/io/excel/_base.py
@@ -721,7 +721,8 @@ def _get_sheet_name(self, sheet_name):
         return sheet_name
 
     def _value_with_fmt(self, val):
-        """Convert numpy types to Python types for the Excel writers.
+        """
+        Convert numpy types to Python types for the Excel writers.
 
         Parameters
         ----------
@@ -755,7 +756,8 @@ def _value_with_fmt(self, val):
 
     @classmethod
     def check_extension(cls, ext):
-        """checks that path's extension against the Writer's supported
+        """
+        checks that path's extension against the Writer's supported
         extensions.  If it isn't supported, raises UnsupportedFiletypeError.
         """
         if ext.startswith("."):
diff --git a/pandas/io/excel/_odfreader.py b/pandas/io/excel/_odfreader.py
index ec5f6fcb17ff8..7af776dc1a10f 100644
--- a/pandas/io/excel/_odfreader.py
+++ b/pandas/io/excel/_odfreader.py
@@ -64,7 +64,8 @@ def get_sheet_by_name(self, name: str):
         raise ValueError(f"sheet {name} not found")
 
     def get_sheet_data(self, sheet, convert_float: bool) -> List[List[Scalar]]:
-        """Parse an ODF Table into a list of lists
+        """
+        Parse an ODF Table into a list of lists
         """
         from odf.table import CoveredTableCell, TableCell, TableRow
 
@@ -120,7 +121,8 @@ def get_sheet_data(self, sheet, convert_float: bool) -> List[List[Scalar]]:
         return table
 
     def _get_row_repeat(self, row) -> int:
-        """Return number of times this row was repeated
+        """
+        Return number of times this row was repeated
         Repeating an empty row appeared to be a common way
         of representing sparse rows in the table.
         """
@@ -134,7 +136,8 @@ def _get_column_repeat(self, cell) -> int:
         return int(cell.attributes.get((TABLENS, "number-columns-repeated"), 1))
 
     def _is_empty_row(self, row) -> bool:
-        """Helper function to find empty rows
+        """
+        Helper function to find empty rows
         """
         for column in row.childNodes:
             if len(column.childNodes) > 0:
diff --git a/pandas/io/excel/_openpyxl.py b/pandas/io/excel/_openpyxl.py
index d35d466e6c5c9..a96c0f814e2d8 100644
--- a/pandas/io/excel/_openpyxl.py
+++ b/pandas/io/excel/_openpyxl.py
@@ -468,7 +468,8 @@ def write_cells(
 
 class _OpenpyxlReader(_BaseExcelReader):
     def __init__(self, filepath_or_buffer: FilePathOrBuffer) -> None:
-        """Reader using openpyxl engine.
+        """
+        Reader using openpyxl engine.
 
         Parameters
         ----------
diff --git a/pandas/io/excel/_util.py b/pandas/io/excel/_util.py
index a33406b6e80d7..c8d40d7141fc8 100644
--- a/pandas/io/excel/_util.py
+++ b/pandas/io/excel/_util.py
@@ -171,7 +171,8 @@ def _trim_excel_header(row):
 
 
 def _fill_mi_header(row, control_row):
-    """Forward fill blank entries in row but only inside the same parent index.
+    """
+    Forward fill blank entries in row but only inside the same parent index.
 
     Used for creating headers in Multiindex.
 
diff --git a/pandas/io/excel/_xlrd.py b/pandas/io/excel/_xlrd.py
index 16f800a6de2c9..8f7d3b1368fc7 100644
--- a/pandas/io/excel/_xlrd.py
+++ b/pandas/io/excel/_xlrd.py
@@ -9,7 +9,8 @@
 
 class _XlrdReader(_BaseExcelReader):
     def __init__(self, filepath_or_buffer):
-        """Reader using xlrd engine.
+        """
+        Reader using xlrd engine.
 
         Parameters
         ----------
diff --git a/pandas/io/excel/_xlwt.py b/pandas/io/excel/_xlwt.py
index d102a885cef0a..78efe77e9fe2d 100644
--- a/pandas/io/excel/_xlwt.py
+++ b/pandas/io/excel/_xlwt.py
@@ -80,7 +80,8 @@ def write_cells(
     def _style_to_xlwt(
         cls, item, firstlevel: bool = True, field_sep=",", line_sep=";"
     ) -> str:
-        """helper which recursively generate an xlwt easy style string
+        """
+        helper which recursively generate an xlwt easy style string
         for example:
 
             hstyle = {"font": {"bold": True},
diff --git a/pandas/io/formats/excel.py b/pandas/io/formats/excel.py
index 28a069bc9fc1b..aac1df5dcd396 100644
--- a/pandas/io/formats/excel.py
+++ b/pandas/io/formats/excel.py
@@ -41,7 +41,8 @@ def __init__(
 
 
 class CSSToExcelConverter:
-    """A callable for converting CSS declarations to ExcelWriter styles
+    """
+    A callable for converting CSS declarations to ExcelWriter styles
 
     Supports parts of CSS 2.2, with minimal CSS 3.0 support (e.g. text-shadow),
     focusing on font styling, backgrounds, borders and alignment.
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index 55d534f975b68..0693c083c9ddc 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -1832,7 +1832,8 @@ def __init__(self, accuracy: Optional[int] = None, use_eng_prefix: bool = False)
         self.use_eng_prefix = use_eng_prefix
 
     def __call__(self, num: Union[int, float]) -> str:
-        """ Formats a number in engineering notation, appending a letter
+        """
+        Formats a number in engineering notation, appending a letter
         representing the power of 1000 of the original number. Some examples:
 
         >>> format_eng(0)       # for self.accuracy = 0
@@ -1930,7 +1931,8 @@ def _binify(cols: List[int], line_width: int) -> List[int]:
 def get_level_lengths(
     levels: Any, sentinel: Union[bool, object, str] = ""
 ) -> List[Dict[int, int]]:
-    """For each index in each level the function returns lengths of indexes.
+    """
+    For each index in each level the function returns lengths of indexes.
 
     Parameters
     ----------
diff --git a/pandas/io/html.py b/pandas/io/html.py
index ee8e96b4b3344..561570f466b68 100644
--- a/pandas/io/html.py
+++ b/pandas/io/html.py
@@ -600,7 +600,8 @@ def _build_doc(self):
 
 
 def _build_xpath_expr(attrs) -> str:
-    """Build an xpath expression to simulate bs4's ability to pass in kwargs to
+    """
+    Build an xpath expression to simulate bs4's ability to pass in kwargs to
     search for attributes when using the lxml parser.
 
     Parameters
diff --git a/pandas/io/pytables.py b/pandas/io/pytables.py
index 1390d2d514a5e..048aa8b1915d1 100644
--- a/pandas/io/pytables.py
+++ b/pandas/io/pytables.py
@@ -3224,7 +3224,8 @@ def is_multi_index(self) -> bool:
         return isinstance(self.levels, list)
 
     def validate_multiindex(self, obj):
-        """validate that we can store the multi-index; reset and return the
+        """
+        validate that we can store the multi-index; reset and return the
         new object
         """
         levels = [
@@ -3375,7 +3376,8 @@ def validate_version(self, where=None):
                 warnings.warn(ws, IncompatibilityWarning)
 
     def validate_min_itemsize(self, min_itemsize):
-        """validate the min_itemsize doesn't contain items that are not in the
+        """
+        validate the min_itemsize doesn't contain items that are not in the
         axes this needs data_columns to be defined
         """
         if min_itemsize is None:
@@ -3587,7 +3589,8 @@ def get_object(cls, obj, transposed: bool):
         return obj
 
     def validate_data_columns(self, data_columns, min_itemsize, non_index_axes):
-        """take the input data_columns and min_itemize and create a data
+        """
+        take the input data_columns and min_itemize and create a data
         columns spec
         """
         if not len(non_index_axes):
@@ -3999,7 +4002,8 @@ def create_description(
     def read_coordinates(
         self, where=None, start: Optional[int] = None, stop: Optional[int] = None,
     ):
-        """select coordinates (row numbers) from a table; return the
+        """
+        select coordinates (row numbers) from a table; return the
         coordinates object
         """
         # validate the version
@@ -4028,7 +4032,8 @@ def read_column(
         start: Optional[int] = None,
         stop: Optional[int] = None,
     ):
-        """return a single column from the table, generally only indexables
+        """
+        return a single column from the table, generally only indexables
         are interesting
         """
         # validate the version
diff --git a/pandas/io/sql.py b/pandas/io/sql.py
index 69e5a973ff706..e7120b1f6da08 100644
--- a/pandas/io/sql.py
+++ b/pandas/io/sql.py
@@ -653,7 +653,8 @@ def create(self):
             self._execute_create()
 
     def _execute_insert(self, conn, keys, data_iter):
-        """Execute SQL statement inserting data
+        """
+        Execute SQL statement inserting data
 
         Parameters
         ----------
@@ -667,7 +668,8 @@ def _execute_insert(self, conn, keys, data_iter):
         conn.execute(self.table.insert(), data)
 
     def _execute_insert_multi(self, conn, keys, data_iter):
-        """Alternative to _execute_insert for DBs support multivalue INSERT.
+        """
+        Alternative to _execute_insert for DBs support multivalue INSERT.
 
         Note: multi-value insert is usually faster for analytics DBs
         and tables containing a few columns
@@ -1092,7 +1094,8 @@ def read_table(
         schema=None,
         chunksize=None,
     ):
-        """Read SQL database table into a DataFrame.
+        """
+        Read SQL database table into a DataFrame.
 
         Parameters
         ----------
@@ -1168,7 +1171,8 @@ def read_query(
         params=None,
         chunksize=None,
     ):
-        """Read SQL query into a DataFrame.
+        """
+        Read SQL query into a DataFrame.
 
         Parameters
         ----------
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index cf3251faae979..593228e99477b 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -482,7 +482,8 @@ class InvalidColumnName(Warning):
 
 
 def _cast_to_stata_types(data: DataFrame) -> DataFrame:
-    """Checks the dtypes of the columns of a pandas DataFrame for
+    """
+    Checks the dtypes of the columns of a pandas DataFrame for
     compatibility with the data types and ranges supported by Stata, and
     converts if necessary.
 
@@ -2128,7 +2129,8 @@ def _write_bytes(self, value: bytes) -> None:
         self._file.write(value)
 
     def _prepare_categoricals(self, data: DataFrame) -> DataFrame:
-        """Check for categorical columns, retain categorical information for
+        """
+        Check for categorical columns, retain categorical information for
         Stata file and convert categorical data to int
         """
         is_cat = [is_categorical_dtype(data[col]) for col in data]
@@ -2170,7 +2172,8 @@ def _prepare_categoricals(self, data: DataFrame) -> DataFrame:
 
     def _replace_nans(self, data: DataFrame) -> DataFrame:
         # return data
-        """Checks floating point data columns for nans, and replaces these with
+        """
+        Checks floating point data columns for nans, and replaces these with
         the generic Stata for missing value (.)
         """
         for c in data:
@@ -3035,7 +3038,8 @@ def _write_header(
         self._write_bytes(self._tag(bio.read(), "header"))
 
     def _write_map(self) -> None:
-        """Called twice during file write. The first populates the values in
+        """
+        Called twice during file write. The first populates the values in
         the map with 0s.  The second call writes the final map locations when
         all blocks have been written.
         """
@@ -3185,7 +3189,8 @@ def _write_file_close_tag(self) -> None:
         self._update_map("end-of-file")
 
     def _update_strl_names(self) -> None:
-        """Update column names for conversion to strl if they might have been
+        """
+        Update column names for conversion to strl if they might have been
         changed to comply with Stata naming rules
         """
         # Update convert_strl if names changed
@@ -3195,7 +3200,8 @@ def _update_strl_names(self) -> None:
                 self._convert_strl[idx] = new
 
     def _convert_strls(self, data: DataFrame) -> DataFrame:
-        """Convert columns to StrLs if either very large or in the
+        """
+        Convert columns to StrLs if either very large or in the
         convert_strl variable
         """
         convert_cols = [
diff --git a/pandas/plotting/_matplotlib/tools.py b/pandas/plotting/_matplotlib/tools.py
index dafdd6eecabc0..5743288982da4 100644
--- a/pandas/plotting/_matplotlib/tools.py
+++ b/pandas/plotting/_matplotlib/tools.py
@@ -100,7 +100,8 @@ def _subplots(
     layout_type="box",
     **fig_kw,
 ):
-    """Create a figure with a set of subplots already made.
+    """
+    Create a figure with a set of subplots already made.
 
     This utility wrapper makes it convenient to create common layouts of
     subplots, including the enclosing figure object, in a single call.
diff --git a/pandas/tests/extension/arrow/arrays.py b/pandas/tests/extension/arrow/arrays.py
index b67ca4cfab83d..cd4b43c83340f 100644
--- a/pandas/tests/extension/arrow/arrays.py
+++ b/pandas/tests/extension/arrow/arrays.py
@@ -1,4 +1,5 @@
-"""Rudimentary Apache Arrow-backed ExtensionArray.
+"""
+Rudimentary Apache Arrow-backed ExtensionArray.
 
 At the moment, just a boolean array / type is implemented.
 Eventually, we'll want to parametrize the type and support
diff --git a/pandas/tests/extension/base/__init__.py b/pandas/tests/extension/base/__init__.py
index e2b6ea0304f6a..323cb843b2d74 100644
--- a/pandas/tests/extension/base/__init__.py
+++ b/pandas/tests/extension/base/__init__.py
@@ -1,4 +1,5 @@
-"""Base test suite for extension arrays.
+"""
+Base test suite for extension arrays.
 
 These tests are intended for third-party libraries to subclass to validate
 that their extension arrays and dtypes satisfy the interface. Moving or
diff --git a/pandas/tests/extension/base/ops.py b/pandas/tests/extension/base/ops.py
index 0609f19c8e0c3..4009041218ac2 100644
--- a/pandas/tests/extension/base/ops.py
+++ b/pandas/tests/extension/base/ops.py
@@ -51,7 +51,8 @@ def _check_divmod_op(self, s, op, other, exc=Exception):
 
 
 class BaseArithmeticOpsTests(BaseOpsUtil):
-    """Various Series and DataFrame arithmetic ops methods.
+    """
+    Various Series and DataFrame arithmetic ops methods.
 
     Subclasses supporting various ops should set the class variables
     to indicate that they support ops of that kind
diff --git a/pandas/tests/extension/conftest.py b/pandas/tests/extension/conftest.py
index d37638d37e4d6..1942d737780da 100644
--- a/pandas/tests/extension/conftest.py
+++ b/pandas/tests/extension/conftest.py
@@ -13,7 +13,8 @@ def dtype():
 
 @pytest.fixture
 def data():
-    """Length-100 array for this type.
+    """
+    Length-100 array for this type.
 
     * data[0] and data[1] should both be non missing
     * data[0] and data[1] should not be equal
@@ -67,7 +68,8 @@ def gen(count):
 
 @pytest.fixture
 def data_for_sorting():
-    """Length-3 array with a known sort order.
+    """
+    Length-3 array with a known sort order.
 
     This should be three items [B, C, A] with
     A < B < C
@@ -77,7 +79,8 @@ def data_for_sorting():
 
 @pytest.fixture
 def data_missing_for_sorting():
-    """Length-3 array with a known sort order.
+    """
+    Length-3 array with a known sort order.
 
     This should be three items [B, NA, A] with
     A < B and NA missing.
@@ -87,7 +90,8 @@ def data_missing_for_sorting():
 
 @pytest.fixture
 def na_cmp():
-    """Binary operator for comparing NA values.
+    """
+    Binary operator for comparing NA values.
 
     Should return a function of two arguments that returns
     True if both arguments are (scalar) NA for your type.
@@ -105,7 +109,8 @@ def na_value():
 
 @pytest.fixture
 def data_for_grouping():
-    """Data for factorization, grouping, and unique tests.
+    """
+    Data for factorization, grouping, and unique tests.
 
     Expected to be like [B, B, NA, NA, A, A, B, C]
 
diff --git a/pandas/tests/extension/json/array.py b/pandas/tests/extension/json/array.py
index e6b147e7a4ce7..a229a824d0f9b 100644
--- a/pandas/tests/extension/json/array.py
+++ b/pandas/tests/extension/json/array.py
@@ -1,4 +1,5 @@
-"""Test extension array for storing nested data in a pandas container.
+"""
+Test extension array for storing nested data in a pandas container.
 
 The JSONArray stores lists of dictionaries. The storage mechanism is a list,
 not an ndarray.
diff --git a/pandas/tests/groupby/conftest.py b/pandas/tests/groupby/conftest.py
index ebac36c5f8c78..1214734358c80 100644
--- a/pandas/tests/groupby/conftest.py
+++ b/pandas/tests/groupby/conftest.py
@@ -107,7 +107,8 @@ def three_group():
 
 @pytest.fixture(params=sorted(reduction_kernels))
 def reduction_func(request):
-    """yields the string names of all groupby reduction functions, one at a time.
+    """
+    yields the string names of all groupby reduction functions, one at a time.
     """
     return request.param
 
diff --git a/pandas/tests/indexing/common.py b/pandas/tests/indexing/common.py
index 9d55609d5db00..9cc031001f81c 100644
--- a/pandas/tests/indexing/common.py
+++ b/pandas/tests/indexing/common.py
@@ -101,7 +101,8 @@ def setup_method(self, method):
             setattr(self, kind, d)
 
     def generate_indices(self, f, values=False):
-        """ generate the indices
+        """
+        generate the indices
         if values is True , use the axis values
         is False, use the range
         """
diff --git a/pandas/tests/indexing/multiindex/conftest.py b/pandas/tests/indexing/multiindex/conftest.py
index 48e090b242208..0256f5e35e1db 100644
--- a/pandas/tests/indexing/multiindex/conftest.py
+++ b/pandas/tests/indexing/multiindex/conftest.py
@@ -20,7 +20,8 @@ def multiindex_dataframe_random_data():
 
 @pytest.fixture
 def multiindex_year_month_day_dataframe_random_data():
-    """DataFrame with 3 level MultiIndex (year, month, day) covering
+    """
+    DataFrame with 3 level MultiIndex (year, month, day) covering
     first 100 business days from 2000-01-01 with random data
     """
     tdf = tm.makeTimeDataFrame(100)
diff --git a/pandas/tests/io/conftest.py b/pandas/tests/io/conftest.py
index 7810778602e12..fe71ca77a7dda 100644
--- a/pandas/tests/io/conftest.py
+++ b/pandas/tests/io/conftest.py
@@ -27,7 +27,8 @@ def salaries_table(datapath):
 
 @pytest.fixture
 def s3_resource(tips_file, jsonl_file):
-    """Fixture for mocking S3 interaction.
+    """
+    Fixture for mocking S3 interaction.
 
     The primary bucket name is "pandas-test". The following datasets
     are loaded.
diff --git a/pandas/tests/io/pytables/common.py b/pandas/tests/io/pytables/common.py
index 7f0b3ab7957e6..aad18890de3ad 100644
--- a/pandas/tests/io/pytables/common.py
+++ b/pandas/tests/io/pytables/common.py
@@ -74,7 +74,8 @@ def ensure_clean_path(path):
 
 
 def _maybe_remove(store, key):
-    """For tests using tables, try removing the table to be sure there is
+    """
+    For tests using tables, try removing the table to be sure there is
     no content from previous tests using the same table name.
     """
     try:
diff --git a/pandas/tests/resample/conftest.py b/pandas/tests/resample/conftest.py
index a4ac15d9f3b07..d5b71a6e4cee1 100644
--- a/pandas/tests/resample/conftest.py
+++ b/pandas/tests/resample/conftest.py
@@ -98,7 +98,8 @@ def _index_name():
 
 @pytest.fixture
 def index(_index_factory, _index_start, _index_end, _index_freq, _index_name):
-    """Fixture for parametrization of date_range, period_range and
+    """
+    Fixture for parametrization of date_range, period_range and
     timedelta_range indexes
     """
     return _index_factory(_index_start, _index_end, freq=_index_freq, name=_index_name)
@@ -106,7 +107,8 @@ def index(_index_factory, _index_start, _index_end, _index_freq, _index_name):
 
 @pytest.fixture
 def _static_values(index):
-    """Fixture for parametrization of values used in parametrization of
+    """
+    Fixture for parametrization of values used in parametrization of
     Series and DataFrames with date_range, period_range and
     timedelta_range indexes
     """
@@ -115,7 +117,8 @@ def _static_values(index):
 
 @pytest.fixture
 def _series_name():
-    """Fixture for parametrization of Series name for Series used with
+    """
+    Fixture for parametrization of Series name for Series used with
     date_range, period_range and timedelta_range indexes
     """
     return None
@@ -123,7 +126,8 @@ def _series_name():
 
 @pytest.fixture
 def series(index, _series_name, _static_values):
-    """Fixture for parametrization of Series with date_range, period_range and
+    """
+    Fixture for parametrization of Series with date_range, period_range and
     timedelta_range indexes
     """
     return Series(_static_values, index=index, name=_series_name)
@@ -131,7 +135,8 @@ def series(index, _series_name, _static_values):
 
 @pytest.fixture
 def empty_series(series):
-    """Fixture for parametrization of empty Series with date_range,
+    """
+    Fixture for parametrization of empty Series with date_range,
     period_range and timedelta_range indexes
     """
     return series[:0]
@@ -139,7 +144,8 @@ def empty_series(series):
 
 @pytest.fixture
 def frame(index, _series_name, _static_values):
-    """Fixture for parametrization of DataFrame with date_range, period_range
+    """
+    Fixture for parametrization of DataFrame with date_range, period_range
     and timedelta_range indexes
     """
     # _series_name is intentionally unused
@@ -148,7 +154,8 @@ def frame(index, _series_name, _static_values):
 
 @pytest.fixture
 def empty_frame(series):
-    """Fixture for parametrization of empty DataFrame with date_range,
+    """
+    Fixture for parametrization of empty DataFrame with date_range,
     period_range and timedelta_range indexes
     """
     index = series.index[:0]
@@ -157,7 +164,8 @@ def empty_frame(series):
 
 @pytest.fixture(params=[Series, DataFrame])
 def series_and_frame(request, series, frame):
-    """Fixture for parametrization of Series and DataFrame with date_range,
+    """
+    Fixture for parametrization of Series and DataFrame with date_range,
     period_range and timedelta_range indexes
     """
     if request.param == Series:
diff --git a/pandas/util/_validators.py b/pandas/util/_validators.py
index bfcfd1c5a7101..682575cc9ed48 100644
--- a/pandas/util/_validators.py
+++ b/pandas/util/_validators.py
@@ -216,7 +216,8 @@ def validate_bool_kwarg(value, arg_name):
 
 
 def validate_axis_style_args(data, args, kwargs, arg_name, method_name):
-    """Argument handler for mixed index, columns / axis functions
+    """
+    Argument handler for mixed index, columns / axis functions
 
     In an attempt to handle both `.method(index, columns)`, and
     `.method(arg, axis=.)`, we have to do some bad things to argument
@@ -310,7 +311,8 @@ def validate_axis_style_args(data, args, kwargs, arg_name, method_name):
 
 
 def validate_fillna_kwargs(value, method, validate_scalar_dict_value=True):
-    """Validate the keyword arguments to 'fillna'.
+    """
+    Validate the keyword arguments to 'fillna'.
 
     This checks that exactly one of 'value' and 'method' is specified.
     If 'method' is specified, this validates that it's a valid method.