DOC: add SA01 for pandas.tseries.api.guess_datetime_format (#58756)

* DOC: add SA01 for pandas.tseries.api.guess_datetime_format

* DOC: remove SA01 for pandas.tseries.api.guess_datetime_format

* DOC: incorporate review suggestions

Co-authored-by: mroeschke <mroeschke@users.noreply.github.com>

---------

Co-authored-by: mroeschke <mroeschke@users.noreply.github.com>

ci/code_checks.sh

@@ -522,7 +522,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.testing.assert_index_equal PR07,SA01" \
         -i "pandas.testing.assert_series_equal PR07,SA01" \
         -i "pandas.timedelta_range SA01" \
-        -i "pandas.tseries.api.guess_datetime_format SA01" \
         -i "pandas.tseries.offsets.BDay PR02,SA01" \
         -i "pandas.tseries.offsets.BMonthBegin PR02" \
         -i "pandas.tseries.offsets.BQuarterBegin PR02" \

pandas/_libs/tslibs/parsing.pyx

@@ -859,6 +859,10 @@ def guess_datetime_format(dt_str: str, bint dayfirst=False) -> str | None:
     """
     Guess the datetime format of a given datetime string.
 
+    This function attempts to deduce the format of a given datetime string. It is
+    useful for situations where the datetime format is unknown and needs to be
+    determined for proper parsing. The function is not guaranteed to return a format.
+
     Parameters
     ----------
     dt_str : str
@@ -876,6 +880,12 @@ def guess_datetime_format(dt_str: str, bint dayfirst=False) -> str | None:
         datetime format string (for `strftime` or `strptime`),
         or None if it can't be guessed.
 
+    See Also
+    --------
+    to_datetime : Convert argument to datetime.
+    Timestamp : Pandas replacement for python datetime.datetime object.
+    DatetimeIndex : Immutable ndarray-like of datetime64 data.
+
     Examples
     --------
     >>> from pandas.tseries.api import guess_datetime_format