BUG: Follow-up with Timestamp(nanoseconds) keyword only

doc/source/whatsnew/v2.0.0.rst

@@ -462,7 +462,7 @@ to each element individually, e.g. ::
 
 Other API changes
 ^^^^^^^^^^^^^^^^^
-- The ``freq``, ``tz``, ``nanosecond``, and ``unit`` keywords in the :class:`Timestamp` constructor are now keyword-only (:issue:`45307`)
+- The ``freq``, ``tz``, ``nanosecond``, and ``unit`` keywords in the :class:`Timestamp` constructor are now keyword-only (:issue:`45307`, :issue:`32526`)
 - Passing ``nanoseconds`` greater than 999 or less than 0 in :class:`Timestamp` now raises a ``ValueError`` (:issue:`48538`, :issue:`48255`)
 - :func:`read_csv`: specifying an incorrect number of columns with ``index_col`` of now raises ``ParserError`` instead of ``IndexError`` when using the c parser.
 - Default value of ``dtype`` in :func:`get_dummies` is changed to ``bool`` from ``uint8`` (:issue:`45848`)
@@ -819,7 +819,7 @@ Datetimelike
 - Bug in :func:`to_datetime` was throwing ``ValueError`` when parsing dates with ISO8601 format where some values were not zero-padded (:issue:`21422`)
 - Bug in :func:`to_datetime` was giving incorrect results when using ``format='%Y%m%d'`` and ``errors='ignore'`` (:issue:`26493`)
 - Bug in :func:`to_datetime` was failing to parse date strings ``'today'`` and ``'now'`` if ``format`` was not ISO8601 (:issue:`50359`)
--
+- Bug in :func:`Timestamp.utctimetuple` raising a ``TypeError`` (:issue:`32174`)
 
 Timedelta
 ^^^^^^^^^

pandas/_libs/tslibs/timestamps.pyx

@@ -1525,16 +1525,11 @@ class Timestamp(_Timestamp):
         elif is_integer_object(year):
             # User passed positional arguments:
             # Timestamp(year, month, day[, hour[, minute[, second[,
-            # microsecond[, nanosecond[, tzinfo]]]]]])
+            # microsecond[, tzinfo]]]]])
             ts_input = datetime(ts_input, year, month, day or 0,
                                 hour or 0, minute or 0, second or 0, fold=fold or 0)
             unit = None
 
-            if nanosecond is None:
-                # nanosecond was not passed as a keyword, but may have been
-                #  passed positionally see test_constructor_nanosecond
-                nanosecond = microsecond
-
         if getattr(ts_input, "tzinfo", None) is not None and tz is not None:
             raise ValueError("Cannot pass a datetime or Timestamp with tzinfo with "
                              "the tz parameter. Use tz_convert instead.")

pandas/tests/scalar/timestamp/test_constructors.py

@@ -415,12 +415,13 @@ def test_constructor_fromordinal(self):
                 nanosecond=1,
                 tz="UTC",
             ),
-            Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, None),
-            Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, pytz.UTC),
+            Timestamp(2000, 1, 2, 3, 4, 5, 6, None, nanosecond=1),
+            Timestamp(2000, 1, 2, 3, 4, 5, 6, tz=pytz.UTC, nanosecond=1),
         ],
     )
     def test_constructor_nanosecond(self, result):
         # GH 18898
+        # As of 2.0 (GH 49416), nanosecond should not be accepted positionally
         expected = Timestamp(datetime(2000, 1, 2, 3, 4, 5, 6), tz=result.tz)
         expected = expected + Timedelta(nanoseconds=1)
         assert result == expected

pandas/tests/scalar/timestamp/test_timestamp.py

@@ -7,6 +7,7 @@
     timezone,
 )
 import locale
+import time
 import unicodedata
 
 from dateutil.tz import tzutc
@@ -1095,3 +1096,11 @@ def test_delimited_date():
         result = Timestamp("13-01-2000")
     expected = Timestamp(2000, 1, 13)
     assert result == expected
+
+
+def test_utctimetuple():
+    # GH 32174
+    ts = Timestamp("2000-01-01", tz="UTC")
+    result = ts.utctimetuple()
+    expected = time.struct_time((2000, 1, 1, 0, 0, 0, 5, 1, 0))
+    assert result == expected