ENH: Support timespec argument in Timestamp.isoformat()

doc/source/whatsnew/v1.4.0.rst

@@ -184,6 +184,7 @@ Other enhancements
 - :meth:`DataFrame.dropna` now accepts a single label as ``subset`` along with array-like (:issue:`41021`)
 - :meth:`read_excel` now accepts a ``decimal`` argument that allow the user to specify the decimal point when parsing string columns to numeric (:issue:`14403`)
 - :meth:`.GroupBy.mean` now supports `Numba <http://numba.pydata.org/>`_ execution with the ``engine`` keyword (:issue:`43731`)
+- :meth:`Timestamp.isoformat`, now handles the ``timespec`` argument from the base :class:``datetime`` class (:issue:`26131`)
 
 .. ---------------------------------------------------------------------------
 

pandas/_libs/tslibs/nattype.pyx

@@ -295,7 +295,7 @@ cdef class _NaT(datetime):
     def __str__(self) -> str:
         return "NaT"
 
-    def isoformat(self, sep="T") -> str:
+    def isoformat(self, sep: str = "T", timespec: str = "auto") -> str:
         # This allows Timestamp(ts.isoformat()) to always correctly roundtrip.
         return "NaT"
 

pandas/_libs/tslibs/timestamps.pyx

@@ -737,20 +737,54 @@ cdef class _Timestamp(ABCTimestamp):
     # -----------------------------------------------------------------
     # Rendering Methods
 
-    def isoformat(self, sep: str = "T") -> str:
-        base = super(_Timestamp, self).isoformat(sep=sep)
-        if self.nanosecond == 0:
+    def isoformat(self, sep: str = "T", timespec: str = "auto") -> str:
+        """
+        Return the time formatted according to ISO.
+
+        The full format looks like 'YYYY-MM-DD HH:MM:SS.mmmmmmnnn'.
+        By default, the fractional part is omitted if self.microsecond == 0
+        and self.nanosecond == 0.
+
+        If self.tzinfo is not None, the UTC offset is also attached, giving
+        giving a full format of 'YYYY-MM-DD HH:MM:SS.mmmmmmnnn+HH:MM'.
+
+        Parameters
+        ----------
+        sep : str, default 'T'
+            String used as the separator between the date and time.
+
+        timespec : str, default 'auto'
+            Specifies the number of additional terms of the time to include.
+            The valid values are 'auto', 'hours', 'minutes', 'seconds',
+            'milliseconds', 'microseconds', and 'nanoseconds'.
+
+        Returns
+        -------
+        str
+
+        Examples
+        --------
+        >>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')
+        >>> ts.isoformat()
+        '2020-03-14T15:32:52.192548651'
+        >>> ts.isoformat(timespec='microseconds')
+        '2020-03-14T15:32:52.192548'
+        """
+        base_ts = "microseconds" if timespec == "nanoseconds" else timespec
+        base = super(_Timestamp, self).isoformat(sep=sep, timespec=base_ts)
+        if self.nanosecond == 0 and timespec != "nanoseconds":
             return base
 
         if self.tzinfo is not None:
             base1, base2 = base[:-6], base[-6:]
         else:
             base1, base2 = base, ""
 
-        if self.microsecond != 0:
-            base1 += f"{self.nanosecond:03d}"
-        else:
-            base1 += f".{self.nanosecond:09d}"
+        if timespec == "nanoseconds" or (timespec == "auto" and self.nanosecond):
+            if self.microsecond:
+                base1 += f"{self.nanosecond:03d}"
+            else:
+                base1 += f".{self.nanosecond:09d}"
 
         return base1 + base2
 

pandas/tests/scalar/test_nat.py

@@ -182,6 +182,7 @@ def test_nat_methods_nat(method):
 def test_nat_iso_format(get_nat):
     # see gh-12300
     assert get_nat("NaT").isoformat() == "NaT"
+    assert get_nat("NaT").isoformat(timespec="nanoseconds") == "NaT"
 
 
 @pytest.mark.parametrize(
@@ -325,6 +326,10 @@ def test_nat_doc_strings(compare):
     klass, method = compare
     klass_doc = getattr(klass, method).__doc__
 
+    # Ignore differences with Timestamp.isoformat() as they're intentional
+    if klass == Timestamp and method == "isoformat":
+        return
+
     nat_doc = getattr(NaT, method).__doc__
     assert klass_doc == nat_doc
 

pandas/tests/scalar/timestamp/test_formats.py

@@ -0,0 +1,71 @@
+import pytest
+
+from pandas import Timestamp
+
+ts_no_ns = Timestamp(
+    year=2019,
+    month=5,
+    day=18,
+    hour=15,
+    minute=17,
+    second=8,
+    microsecond=132263,
+)
+ts_ns = Timestamp(
+    year=2019,
+    month=5,
+    day=18,
+    hour=15,
+    minute=17,
+    second=8,
+    microsecond=132263,
+    nanosecond=123,
+)
+ts_ns_tz = Timestamp(
+    year=2019,
+    month=5,
+    day=18,
+    hour=15,
+    minute=17,
+    second=8,
+    microsecond=132263,
+    nanosecond=123,
+    tz="UTC",
+)
+ts_no_us = Timestamp(
+    year=2019,
+    month=5,
+    day=18,
+    hour=15,
+    minute=17,
+    second=8,
+    microsecond=0,
+    nanosecond=123,
+)
+
+
+@pytest.mark.parametrize(
+    "ts, timespec, expected_iso",
+    [
+        (ts_no_ns, "auto", "2019-05-18T15:17:08.132263"),
+        (ts_no_ns, "seconds", "2019-05-18T15:17:08"),
+        (ts_no_ns, "nanoseconds", "2019-05-18T15:17:08.132263000"),
+        (ts_ns, "auto", "2019-05-18T15:17:08.132263123"),
+        (ts_ns, "hours", "2019-05-18T15"),
+        (ts_ns, "minutes", "2019-05-18T15:17"),
+        (ts_ns, "seconds", "2019-05-18T15:17:08"),
+        (ts_ns, "milliseconds", "2019-05-18T15:17:08.132"),
+        (ts_ns, "microseconds", "2019-05-18T15:17:08.132263"),
+        (ts_ns, "nanoseconds", "2019-05-18T15:17:08.132263123"),
+        (ts_ns_tz, "auto", "2019-05-18T15:17:08.132263123+00:00"),
+        (ts_ns_tz, "hours", "2019-05-18T15+00:00"),
+        (ts_ns_tz, "minutes", "2019-05-18T15:17+00:00"),
+        (ts_ns_tz, "seconds", "2019-05-18T15:17:08+00:00"),
+        (ts_ns_tz, "milliseconds", "2019-05-18T15:17:08.132+00:00"),
+        (ts_ns_tz, "microseconds", "2019-05-18T15:17:08.132263+00:00"),
+        (ts_ns_tz, "nanoseconds", "2019-05-18T15:17:08.132263123+00:00"),
+        (ts_no_us, "auto", "2019-05-18T15:17:08.000000123"),
+    ],
+)
+def test_isoformat(ts, timespec, expected_iso):
+    assert ts.isoformat(timespec=timespec) == expected_iso