diff --git a/tests/test_sklearn_permutation_importance.py b/tests/test_sklearn_permutation_importance.py
index cd6b1dbe..33825045 100644
--- a/tests/test_sklearn_permutation_importance.py
+++ b/tests/test_sklearn_permutation_importance.py
@@ -8,6 +8,8 @@
 from sklearn.pipeline import make_pipeline
 from sklearn.feature_selection import SelectFromModel
 from sklearn.linear_model import LogisticRegression
+import pandas as pd
+from xgboost import XGBClassifier
 
 import eli5
 from eli5.sklearn import PermutationImportance
@@ -164,3 +166,15 @@ def test_explain_weights(iris_train):
         res = format_as_all(expl, perm.wrapped_estimator_)
         for _expl in res:
             assert "petal width (cm)" in _expl
+
+
+def test_dataframe_input_to_xgbclassifier():
+    # 30 items of data, pairs of a useless feature and a predictive feature
+    X_np = np.array([[0,1]]*15 + [[0,2]]*15)
+    y_np = np.array([0]*15 + [1]*15)
+    X = pd.DataFrame(X_np)
+    y = pd.Series(y_np)
+    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=42)
+    est = XGBClassifier()
+    est.fit(X_train, y_train)
+    perm = PermutationImportance(est).fit(X_test, y_test)
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