DOCS: fix docstring validation errors for pandas.Series (#59596)

Fixes:
-i "pandas.Series.str.match RT03" \
-i "pandas.Series.str.normalize RT03,SA01" \
-i "pandas.Series.str.repeat SA01" \
-i "pandas.Series.str.replace SA01" \

Author: ivonastojanovic

ci/code_checks.sh

@@ -142,10 +142,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.sparse.sp_values SA01" \
         -i "pandas.Series.sparse.to_coo PR07,RT03,SA01" \
         -i "pandas.Series.std PR01,RT03,SA01" \
-        -i "pandas.Series.str.match RT03" \
-        -i "pandas.Series.str.normalize RT03,SA01" \
-        -i "pandas.Series.str.repeat SA01" \
-        -i "pandas.Series.str.replace SA01" \
         -i "pandas.Series.str.wrap RT03,SA01" \
         -i "pandas.Series.str.zfill RT03" \
         -i "pandas.Series.struct.dtypes SA01" \

pandas/core/strings/accessor.py

@@ -1379,6 +1379,9 @@ def match(self, pat: str, case: bool = True, flags: int = 0, na=None):
         Returns
         -------
         Series/Index/array of boolean values
+            A Series, Index, or array of boolean values indicating whether the start
+            of each string matches the pattern. The result will be of the same type
+            as the input.
 
         See Also
         --------
@@ -1503,6 +1506,14 @@ def replace(
             * if `pat` is a compiled regex and `case` or `flags` is set
             * if `pat` is a dictionary and `repl` is not None.
 
+        See Also
+        --------
+        Series.str.replace : Method to replace occurrences of a substring with another
+            substring.
+        Series.str.extract : Extract substrings using a regular expression.
+        Series.str.findall : Find all occurrences of a pattern or regex in each string.
+        Series.str.split : Split each string by a specified delimiter or pattern.
+
         Notes
         -----
         When `pat` is a compiled regex, all flags should be included in the
@@ -1634,6 +1645,20 @@ def repeat(self, repeats):
             Series or Index of repeated string objects specified by
             input parameter repeats.
 
+        See Also
+        --------
+        Series.str.lower : Convert all characters in each string to lowercase.
+        Series.str.upper : Convert all characters in each string to uppercase.
+        Series.str.title : Convert each string to title case (capitalizing the first
+            letter of each word).
+        Series.str.strip : Remove leading and trailing whitespace from each string.
+        Series.str.replace : Replace occurrences of a substring with another substring
+            in each string.
+        Series.str.ljust : Left-justify each string in the Series/Index by padding with
+            a specified character.
+        Series.str.rjust : Right-justify each string in the Series/Index by padding with
+            a specified character.
+
         Examples
         --------
         >>> s = pd.Series(["a", "b", "c"])
@@ -3091,6 +3116,19 @@ def normalize(self, form):
         Returns
         -------
         Series/Index of objects
+            A Series or Index of strings in the same Unicode form specified by `form`.
+            The returned object retains the same type as the input (Series or Index),
+            and contains the normalized strings.
+
+        See Also
+        --------
+        Series.str.upper : Convert all characters in each string to uppercase.
+        Series.str.lower : Convert all characters in each string to lowercase.
+        Series.str.title : Convert each string to title case (capitalizing the
+            first letter of each word).
+        Series.str.strip : Remove leading and trailing whitespace from each string.
+        Series.str.replace : Replace occurrences of a substring with another substring
+            in each string.
 
         Examples
         --------