BUG: Timestamp.unit now reflects changes in components after Timestamp.replace

doc/source/whatsnew/v3.0.0.rst

@@ -361,6 +361,18 @@ Performance improvements
 
 Bug fixes
 ~~~~~~~~~
+- Fixed bug in :class:`SparseDtype` for equal comparison with na fill value. (:issue:`54770`)
+- Fixed bug in :meth:`.DataFrameGroupBy.median` where nat values gave an incorrect result. (:issue:`57926`)
+- Fixed bug in :meth:`DataFrame.cumsum` which was raising ``IndexError`` if dtype is ``timedelta64[ns]`` (:issue:`57956`)
+- Fixed bug in :meth:`DataFrame.join` inconsistently setting result index name (:issue:`55815`)
+- Fixed bug in :meth:`DataFrame.to_string` that raised ``StopIteration`` with nested DataFrames. (:issue:`16098`)
+- Fixed bug in :meth:`DataFrame.transform` that was returning the wrong order unless the index was monotonically increasing. (:issue:`57069`)
+- Fixed bug in :meth:`DataFrame.update` bool dtype being converted to object (:issue:`55509`)
+- Fixed bug in :meth:`DataFrameGroupBy.apply` that was returning a completely empty DataFrame when all return values of ``func`` were ``None`` instead of returning an empty DataFrame with the original columns and dtypes. (:issue:`57775`)
+- Fixed bug in :meth:`Series.diff` allowing non-integer values for the ``periods`` argument. (:issue:`56607`)
+- Fixed bug in :meth:`Series.rank` that doesn't preserve missing values for nullable integers when ``na_option='keep'``. (:issue:`56976`)
+- Fixed bug in :meth:`Series.replace` and :meth:`DataFrame.replace` inconsistently replacing matching instances when ``regex=True`` and missing values are present. (:issue:`56599`)
+- Fixed bug in :meth:`Timestamp.replace` where it would not reflect changes into :meth:`Timestamp.unit`. (:issue:`57749`)
 
 Categorical
 ^^^^^^^^^^^

pandas/_libs/tslibs/timestamps.pyx

@@ -2448,10 +2448,12 @@ default 'raise'
             datetime ts_input
             tzinfo_type tzobj
             _TSObject ts
+            NPY_DATETIMEUNIT rep_reso
 
         # set to naive if needed
         tzobj = self.tzinfo
         value = self._value
+        rep_reso = self._creso
 
         # GH 37610. Preserve fold when replacing.
         if fold is None:
@@ -2475,40 +2477,54 @@ default 'raise'
 
         if year is not None:
             dts.year = validate("year", year)
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_Y
         if month is not None:
             dts.month = validate("month", month)
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_M
         if day is not None:
             dts.day = validate("day", day)
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_D
         if hour is not None:
             dts.hour = validate("hour", hour)
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_h
         if minute is not None:
             dts.min = validate("minute", minute)
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_m
         if second is not None:
             dts.sec = validate("second", second)
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_s
         if microsecond is not None:
             dts.us = validate("microsecond", microsecond)
+            if microsecond > 999:
+                rep_reso = NPY_DATETIMEUNIT.NPY_FR_us
+            else:
+                rep_reso = NPY_DATETIMEUNIT.NPY_FR_ms
         if nanosecond is not None:
             dts.ps = validate("nanosecond", nanosecond) * 1000
+            rep_reso = NPY_DATETIMEUNIT.NPY_FR_ns
         if tzinfo is not object:
             tzobj = tzinfo
 
+        if rep_reso < self._creso:
+            rep_reso = self._creso
+
         # reconstruct & check bounds
         if tzobj is None:
             # We can avoid going through pydatetime paths, which is robust
             #  to datetimes outside of pydatetime range.
             ts = _TSObject()
             try:
-                ts.value = npy_datetimestruct_to_datetime(self._creso, &dts)
+                ts.value = npy_datetimestruct_to_datetime(rep_reso, &dts)
             except OverflowError as err:
                 fmt = dts_to_iso_string(&dts)
                 raise OutOfBoundsDatetime(
                     f"Out of bounds timestamp: {fmt} with frequency '{self.unit}'"
                 ) from err
             ts.dts = dts
-            ts.creso = self._creso
+            ts.creso = rep_reso
             ts.fold = fold
             return create_timestamp_from_ts(
-                ts.value, dts, tzobj, fold, reso=self._creso
+                ts.value, dts, tzobj, fold, reso=rep_reso
             )
 
         elif tzobj is not None and treat_tz_as_pytz(tzobj):
@@ -2527,10 +2543,10 @@ default 'raise'
             ts_input = datetime(**kwargs)
 
         ts = convert_datetime_to_tsobject(
-            ts_input, tzobj, nanos=dts.ps // 1000, reso=self._creso
+            ts_input, tzobj, nanos=dts.ps // 1000, reso=rep_reso
         )
         return create_timestamp_from_ts(
-            ts.value, dts, tzobj, fold, reso=self._creso
+            ts.value, dts, tzobj, fold, reso=rep_reso
         )
 
     def to_julian_date(self) -> np.float64:

pandas/tests/scalar/timestamp/methods/test_replace.py

@@ -189,3 +189,17 @@ def test_replace_preserves_fold(self, fold):
         ts_replaced = ts.replace(second=1)
 
         assert ts_replaced.fold == fold
+
+    def test_replace_unit(self):
+        # GH#57749
+        ts = Timestamp("2023-07-15 23:08:12")
+        ts1 = Timestamp("2023-07-15 23:08:12.134567")
+        ts2 = Timestamp("2023-07-15 23:08:12.134567123")
+        ts = ts.replace(microsecond=999)
+        assert ts.unit == "ms"
+        ts = ts.replace(microsecond=ts1.microsecond)
+        assert ts.unit == "us"
+        assert ts == ts1
+        ts = ts.replace(nanosecond=ts2.nanosecond)
+        assert ts.unit == "ns"
+        assert ts == ts2