Fix DataFrame.cumsum failing when dtype is timedelta64[ns] (pandas-dev#58028)

* Fix DataFrame.cumsum failing when dtype is timedelta64[ns]

* Pre-commit

* Remove comment

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

* Update whatsnew

---------

Co-authored-by: Abdulaziz Aloqeely <52792999+DAzVise@users.noreply.github.com>
Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

Author: 2 people

pandas/core/array_algos/datetimelike_accumulations.py

@@ -49,7 +49,8 @@ def _cum_func(
     if not skipna:
         mask = np.maximum.accumulate(mask)
 
-    result = func(y)
+    # GH 57956
+    result = func(y, axis=0)
     result[mask] = iNaT
 
     if values.dtype.kind in "mM":

pandas/tests/series/test_cumulative.py

@@ -91,6 +91,25 @@ def test_cummin_cummax_datetimelike(self, ts, method, skipna, exp_tdi):
         result = getattr(ser, method)(skipna=skipna)
         tm.assert_series_equal(expected, result)
 
+    def test_cumsum_datetimelike(self):
+        # GH#57956
+        df = pd.DataFrame(
+            [
+                [pd.Timedelta(0), pd.Timedelta(days=1)],
+                [pd.Timedelta(days=2), pd.NaT],
+                [pd.Timedelta(hours=-6), pd.Timedelta(hours=12)],
+            ]
+        )
+        result = df.cumsum()
+        expected = pd.DataFrame(
+            [
+                [pd.Timedelta(0), pd.Timedelta(days=1)],
+                [pd.Timedelta(days=2), pd.NaT],
+                [pd.Timedelta(days=1, hours=18), pd.Timedelta(days=1, hours=12)],
+            ]
+        )
+        tm.assert_frame_equal(result, expected)
+
     @pytest.mark.parametrize(
         "func, exp",
         [