added test for groupby

Author: Petroncini

pandas/tests/groupby/test_grouping.py

@@ -1180,3 +1180,19 @@ def test_grouping_by_key_is_in_axis():
     result = gb.sum()
     expected = DataFrame({"a": [1, 2], "b": [1, 2], "c": [7, 5]})
     tm.assert_frame_equal(result, expected)
+
+
+def test_groupby_any_with_timedelta(self):
+        # Create a DataFrame with Timedelta and NaT values
+        df = DataFrame({
+            "A": ["foo", "foo", "bar", "bar"],
+            "B": [pd.Timedelta(1, unit='D'), pd.NaT, pd.Timedelta(2, unit='D'), pd.NaT]
+        })
+
+        # Group by column A and check if any Timedelta exists (i.e., non-NaT)
+        result = df.groupby("A")["B"].any()
+
+        # Expected result: groups with only NaT should return False, others should return True
+        expected = Series([True, False], index=["foo", "bar"], name="B")
+
+        tm.assert_series_equal(result, expected)