diff --git a/src/data/data.cc b/src/data/data.cc
index 60afc0511..0e90584e0 100644
--- a/src/data/data.cc
+++ b/src/data/data.cc
@@ -301,6 +301,7 @@ MetaInfo MetaInfo::Slice(common::Span<int32_t const> ridxs) const {
   out.feature_weigths.Copy(this->feature_weigths);
 
   out.feature_names = this->feature_names;
+  out.feature_types.Resize(this->feature_types.Size());
   out.feature_types.Copy(this->feature_types);
   out.feature_type_names = this->feature_type_names;
 
diff --git a/tests/python/test_with_pandas.py b/tests/python/test_with_pandas.py
index df79b09fc..c9400bfa6 100644
--- a/tests/python/test_with_pandas.py
+++ b/tests/python/test_with_pandas.py
@@ -18,9 +18,7 @@ rng = np.random.RandomState(1994)
 
 
 class TestPandas:
-
     def test_pandas(self):
-
         df = pd.DataFrame([[1, 2., True], [2, 3., False]],
                           columns=['a', 'b', 'c'])
         dm = xgb.DMatrix(df, label=pd.Series([1, 2]))
@@ -110,6 +108,18 @@ class TestPandas:
         assert dm.num_row() == 2
         assert dm.num_col() == 6
 
+    def test_slice(self):
+        rng = np.random.RandomState(1994)
+        rows = 100
+        X = rng.randint(3, 7, size=rows)
+        X = pd.DataFrame({'f0': X})
+        y = rng.randn(rows)
+        ridxs = [1, 2, 3, 4, 5, 6]
+        m = xgb.DMatrix(X, y)
+        sliced = m.slice(ridxs)
+
+        assert m.feature_types == sliced.feature_types
+
     def test_pandas_categorical(self):
         rng = np.random.RandomState(1994)
         rows = 100