inplace update

Author: MarcoGorelli

doc/source/whatsnew/v2.2.0.rst

@@ -520,7 +520,7 @@ Indexing
 
 Missing
 ^^^^^^^
--
+- Bug in :meth:`DataFrame.update` wasn't updating in-place for datetime64 dtypes (:issue:`56227`)
 -
 
 MultiIndex

pandas/core/frame.py

@@ -8862,8 +8862,6 @@ def update(
                     stacklevel=2,
                 )
 
-        from pandas.core.computation import expressions
-
         # TODO: Support other joins
         if join != "left":  # pragma: no cover
             raise NotImplementedError("Only left join is supported")
@@ -8876,8 +8874,8 @@ def update(
         other = other.reindex(self.index)
 
         for col in self.columns.intersection(other.columns):
-            this = self[col]._values
-            that = other[col]._values
+            this = self[col]
+            that = other[col]
 
             if filter_func is not None:
                 mask = ~filter_func(this) | isna(that)
@@ -8897,7 +8895,7 @@ def update(
             if mask.all():
                 continue
 
-            self.loc[:, col] = expressions.where(mask, this, that)
+            self.loc[:, col] = this.where(mask, that)
 
     # ----------------------------------------------------------------------
     # Data reshaping

pandas/tests/frame/methods/test_update.py

@@ -140,6 +140,19 @@ def test_update_datetime_tz(self):
         expected = DataFrame([pd.Timestamp("2019", tz="UTC")])
         tm.assert_frame_equal(result, expected)
 
+    def test_update_datetime_tz_in_place(self, using_copy_on_write):
+        # https://github.com/pandas-dev/pandas/issues/56227
+        result = DataFrame([pd.Timestamp("2019", tz="UTC")])
+        orig = result.copy()
+        view = result[:]
+        result.update(result + pd.Timedelta(days=1))
+        expected = DataFrame([pd.Timestamp("2019-01-02", tz="UTC")])
+        tm.assert_frame_equal(result, expected)
+        if not using_copy_on_write:
+            tm.assert_frame_equal(view, expected)
+        else:
+            tm.assert_frame_equal(view, orig)
+
     def test_update_with_different_dtype(self, using_copy_on_write):
         # GH#3217
         df = DataFrame({"a": [1, 3], "b": [np.nan, 2]})