DOC: Fix SA01 ES01 for pandas.Timestamp.round (#58700)

* DOC: add SA01,ES01 for pandas.Timestamp.round

* DOC: remove SA01,ES01 for pandas.Timestamp.round

* DOC: change docstring in sync with pandas.Timestamp.round

ci/code_checks.sh

@@ -290,7 +290,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.quarter SA01" \
         -i "pandas.Timestamp.replace PR07,SA01" \
         -i "pandas.Timestamp.resolution PR02,PR07,SA01" \
-        -i "pandas.Timestamp.round SA01" \
         -i "pandas.Timestamp.second GL08" \
         -i "pandas.Timestamp.strptime PR01,SA01" \
         -i "pandas.Timestamp.time SA01" \

pandas/_libs/tslibs/nattype.pyx

@@ -970,6 +970,12 @@ class NaTType(_NaT):
         """
         Round the Timestamp to the specified resolution.
 
+        This method rounds the given Timestamp down to a specified frequency
+        level. It is particularly useful in data analysis to normalize timestamps
+        to regular frequency intervals. For instance, rounding to the nearest
+        minute, hour, or day can help in time series comparisons or resampling
+        operations.
+
         Parameters
         ----------
         freq : str
@@ -1004,6 +1010,14 @@ timedelta}, default 'raise'
         ------
         ValueError if the freq cannot be converted
 
+        See Also
+        --------
+        datetime.round : Similar behavior in native Python datetime module.
+        Timestamp.floor : Round the Timestamp downward to the nearest multiple
+            of the specified frequency.
+        Timestamp.ceil : Round the Timestamp upward to the nearest multiple of
+            the specified frequency.
+
         Notes
         -----
         If the Timestamp has a timezone, rounding will take place relative to the

pandas/_libs/tslibs/timestamps.pyx

@@ -2038,6 +2038,12 @@ class Timestamp(_Timestamp):
         """
         Round the Timestamp to the specified resolution.
 
+        This method rounds the given Timestamp down to a specified frequency
+        level. It is particularly useful in data analysis to normalize timestamps
+        to regular frequency intervals. For instance, rounding to the nearest
+        minute, hour, or day can help in time series comparisons or resampling
+        operations.
+
         Parameters
         ----------
         freq : str
@@ -2072,6 +2078,14 @@ timedelta}, default 'raise'
         ------
         ValueError if the freq cannot be converted
 
+        See Also
+        --------
+        datetime.round : Similar behavior in native Python datetime module.
+        Timestamp.floor : Round the Timestamp downward to the nearest multiple
+            of the specified frequency.
+        Timestamp.ceil : Round the Timestamp upward to the nearest multiple of
+            the specified frequency.
+
         Notes
         -----
         If the Timestamp has a timezone, rounding will take place relative to the