diff --git a/python/cuml/_thirdparty/sklearn/preprocessing/_column_transformer.py b/python/cuml/_thirdparty/sklearn/preprocessing/_column_transformer.py
index e248656a83..f3d9177d5f 100644
--- a/python/cuml/_thirdparty/sklearn/preprocessing/_column_transformer.py
+++ b/python/cuml/_thirdparty/sklearn/preprocessing/_column_transformer.py
@@ -30,6 +30,9 @@
 import cupy as np
 import numba
 
+import pandas as pd
+import cudf
+
 import cuml
 from cuml.internals.global_settings import _global_settings_data
 from cuml.common.array_sparse import SparseCumlArray
@@ -220,6 +223,9 @@ def _safe_indexing(X, indices, *, axis=0):
             " column). Got {} instead.".format(axis)
         )
 
+    if isinstance(indices, (pd.Index, cudf.Index)):
+        indices = list(indices)
+
     indices_dtype = _determine_key_type(indices)
 
     if axis == 0 and indices_dtype == 'str':
diff --git a/python/cuml/test/test_compose.py b/python/cuml/test/test_compose.py
index f80c390662..34375c2ecf 100644
--- a/python/cuml/test/test_compose.py
+++ b/python/cuml/test/test_compose.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021, NVIDIA CORPORATION.
+# Copyright (c) 2021-2022, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -268,3 +268,17 @@ def test_make_column_selector():
 
     assert_allclose(t_X, sk_t_X)
     assert type(t_X) == type(X)
+
+
+def test_column_transformer_index(clf_dataset):  # noqa: F811
+    X_np, X = clf_dataset
+
+    if not isinstance(X, (pdDataFrame, cuDataFrame)):
+        pytest.skip()
+
+    cu_transformers = [
+        ("scaler", cuStandardScaler(), X.columns)
+    ]
+
+    transformer = cuColumnTransformer(cu_transformers)
+    transformer.fit_transform(X)