DOCS: fix docstring validation errors for pandas.Series #59595

pandas/core/arrays/sparse/array.py

@@ -637,6 +637,9 @@ def fill_value(self):
 
         See Also
         --------
+        Series.sparse : Accessor for handling sparse data.
+        Series.sparse.npoints : The number of non- ``fill_value`` points.
+        Series.sparse.sp_values : An ndarray containing the non- ``fill_value`` values.
         SparseDtype : Dtype for data stored in :class:`SparseArray`.
         Series.value_counts : Return a Series containing counts of unique values.
         Series.fillna : Fill NA/NaN in a Series with a specified value.

pandas/core/strings/accessor.py

@@ -1366,6 +1366,14 @@ def match(self, pat: str, case: bool = True, flags: int = 0, na=None):
         """
         Determine if each string starts with a match of a regular expression.
 
+        This method checks if the start of each string in the Series or
+        Index matches the specified regular expression (Regex) pattern,
+        allowing for complex string matching rules.
+
+        Additionally, case sensitivity can be specified, Regex module flags can
+        be used to modify matching behavior, and a fill value for missing values
+        can be provided.
+
         Parameters
         ----------
         pat : str