diff --git a/feature_engine/datetime/_datetime_constants.py b/feature_engine/datetime/_datetime_constants.py
index f7ef69a20..49f401b59 100644
--- a/feature_engine/datetime/_datetime_constants.py
+++ b/feature_engine/datetime/_datetime_constants.py
@@ -61,7 +61,7 @@
     "quarter": lambda x: x.dt.quarter,
     "semester": lambda x: np.where(x.dt.month <= 6, 1, 2).astype(np.int64),
     "year": lambda x: x.dt.year,
-    "week": lambda x: x.dt.isocalendar().week.astype(np.int64),
+    "week": lambda x: x.dt.isocalendar().week.astype("float64"),
     "day_of_week": lambda x: x.dt.dayofweek,
     "day_of_month": lambda x: x.dt.day,
     "day_of_year": lambda x: x.dt.dayofyear,
@@ -73,7 +73,7 @@
     "year_start": lambda x: x.dt.is_year_start.astype(np.int64),
     "year_end": lambda x: x.dt.is_year_end.astype(np.int64),
     "leap_year": lambda x: x.dt.is_leap_year.astype(np.int64),
-    "days_in_month": lambda x: x.dt.days_in_month.astype(np.int64),
+    "days_in_month": lambda x: x.dt.days_in_month.astype("float64"),
     "hour": lambda x: x.dt.hour,
     "minute": lambda x: x.dt.minute,
     "second": lambda x: x.dt.second,
diff --git a/tests/test_datetime/test_datetime_features.py b/tests/test_datetime/test_datetime_features.py
index acd9d06e8..c22239492 100644
--- a/tests/test_datetime/test_datetime_features.py
+++ b/tests/test_datetime/test_datetime_features.py
@@ -472,6 +472,23 @@ def test_extract_features_from_variables_containing_nans():
     )
 
 
+def test_ignore_nan_for_week_and_days_in_month():
+    # week and days_in_month must propagate NaN like the other features when
+    # missing_values="ignore", instead of raising on the int cast of a NaT.
+    X = DatetimeFeatures(
+        features_to_extract=["week", "days_in_month"], missing_values="ignore"
+    ).fit_transform(dates_nan)
+    pd.testing.assert_frame_equal(
+        X,
+        pd.DataFrame(
+            {
+                "dates_na_week": [5.0, np.nan, 22.0, np.nan],
+                "dates_na_days_in_month": [28.0, np.nan, 30.0, np.nan],
+            }
+        ),
+    )
+
+
 def test_extract_features_with_different_datetime_parsing_options(df_datetime):
     X = DatetimeFeatures(
         features_to_extract=["day_of_month"], dayfirst=True