diff --git a/pandas/core/arrays/sparse/accessor.py b/pandas/core/arrays/sparse/accessor.py
index 57fd6d284af31..595af6dc08733 100644
--- a/pandas/core/arrays/sparse/accessor.py
+++ b/pandas/core/arrays/sparse/accessor.py
@@ -308,8 +308,7 @@ def to_coo(self):
     @property
     def density(self) -> float:
         """
-        Ratio of non-sparse points to total (dense) data points
-        represented in the DataFrame.
+        Ratio of non-sparse points to total (dense) data points.
         """
         return np.mean([column.array.density for _, column in self._parent.items()])
 
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 23611055d6f01..d7043a8cda7b2 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -814,8 +814,10 @@ def to_string(
     @property
     def style(self):
         """
-        Property returning a Styler object containing methods for
-        building a styled HTML representation fo the DataFrame.
+        Returns a Styler object.
+
+        Contains methods for building a styled HTML representation of the DataFrame.
+        a styled HTML representation fo the DataFrame.
 
         See Also
         --------
@@ -8207,6 +8209,8 @@ def to_timestamp(self, freq=None, how="start", axis=0, copy=True):
 
     def to_period(self, freq=None, axis=0, copy=True):
         """
+        Convert DataFrame from DatetimeIndex to PeriodIndex.
+
         Convert DataFrame from DatetimeIndex to PeriodIndex with desired
         frequency (inferred from index if not passed).
 
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index fe0923f096493..81742b5337e47 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -5766,8 +5766,7 @@ def ftypes(self):
 
     def as_blocks(self, copy=True):
         """
-        Convert the frame to a dict of dtype -> Constructor Types that each has
-        a homogeneous dtype.
+        Convert the frame to a dict of dtype -> Constructor Types.
 
         .. deprecated:: 0.21.0
 
@@ -9428,9 +9427,10 @@ def shift(self, periods=1, freq=None, axis=0, fill_value=None):
 
     def slice_shift(self, periods=1, axis=0):
         """
-        Equivalent to `shift` without copying data. The shifted data will
-        not include the dropped periods and the shifted axis will be smaller
-        than the original.
+        Equivalent to `shift` without copying data.
+
+        The shifted data will not include the dropped periods and the
+        shifted axis will be smaller than the original.
 
         Parameters
         ----------
@@ -10739,10 +10739,11 @@ def nanptp(values, axis=0, skipna=True):
             name,
             name2,
             axis_descr,
-            """Return the difference between the maximum value and the
+            """Return the difference between the min and max value.
+            \n.. deprecated:: 0.24.0 Use numpy.ptp instead
+            \nReturn the difference between the maximum value and the
             minimum value in the object. This is the equivalent of the
-            ``numpy.ndarray`` method ``ptp``.\n\n.. deprecated:: 0.24.0
-                Use numpy.ptp instead""",
+            ``numpy.ndarray`` method ``ptp``.""",
             nanptp,
         )
 
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index 45cb037600fd7..44c786f003369 100755
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -1291,8 +1291,7 @@ def _get_slice_axis(self, slice_obj: slice, axis: int):
 
 class _IXIndexer(_NDFrameIndexer):
     """
-    A primarily label-location based indexer, with integer position
-    fallback.
+    A primarily label-location based indexer, with integer position fallback.
 
     Warning: Starting in 0.20.0, the .ix indexer is deprecated, in
     favor of the more strict .iloc and .loc indexers.
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index 127fdffafcf36..c11d94c381d6d 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -496,7 +496,9 @@ def boxplot_frame_groupby(
 
 class PlotAccessor(PandasObject):
     """
-    Make plots of Series or DataFrame using the backend specified by the
+    Make plots of Series or DataFrame.
+
+    Uses the backend specified by the
     option ``plotting.backend``. By default, matplotlib is used.
 
     Parameters