DOC: Enforce Numpy Docstring Validation - Timestamp.strftime and Timestamp.isoformat (#58677)

* DOC: add See also section to Timestamp.strftime and Timestamp.isoformat

* ensure NaT.strftime  docstring matches Timestamp.strftime

Author: abonte

ci/code_checks.sh

@@ -283,7 +283,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.hour GL08" \
         -i "pandas.Timestamp.is_leap_year SA01" \
         -i "pandas.Timestamp.isocalendar SA01" \
-        -i "pandas.Timestamp.isoformat SA01" \
         -i "pandas.Timestamp.isoweekday SA01" \
         -i "pandas.Timestamp.max PR02" \
         -i "pandas.Timestamp.microsecond GL08" \
@@ -299,7 +298,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.resolution PR02,PR07,SA01" \
         -i "pandas.Timestamp.round SA01" \
         -i "pandas.Timestamp.second GL08" \
-        -i "pandas.Timestamp.strftime SA01" \
         -i "pandas.Timestamp.strptime PR01,SA01" \
         -i "pandas.Timestamp.time SA01" \
         -i "pandas.Timestamp.timestamp SA01" \

pandas/_libs/tslibs/nattype.pyx

@@ -692,6 +692,12 @@ class NaTType(_NaT):
             See strftime documentation for more information on the format string:
             https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior.
 
+        See Also
+        --------
+        Timestamp.isoformat : Return the time formatted according to ISO 8601.
+        pd.to_datetime : Convert argument to datetime.
+        Period.strftime : Format a single Period.
+
         Examples
         --------
         >>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')

pandas/_libs/tslibs/timestamps.pyx

@@ -1008,6 +1008,12 @@ cdef class _Timestamp(ABCTimestamp):
         -------
         str
 
+        See Also
+        --------
+        Timestamp.strftime : Return a formatted string.
+        Timestamp.isocalendar : Return a tuple containing ISO year, week number and
+            weekday.
+
         Examples
         --------
         >>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')
@@ -1549,6 +1555,12 @@ class Timestamp(_Timestamp):
             See strftime documentation for more information on the format string:
             https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior.
 
+        See Also
+        --------
+        Timestamp.isoformat : Return the time formatted according to ISO 8601.
+        pd.to_datetime : Convert argument to datetime.
+        Period.strftime : Format a single Period.
+
         Examples
         --------
         >>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')