diff --git a/doc/tutorials/learning_to_rank.rst b/doc/tutorials/learning_to_rank.rst
index 0e1f5d1a0..74e52e156 100644
--- a/doc/tutorials/learning_to_rank.rst
+++ b/doc/tutorials/learning_to_rank.rst
@@ -71,6 +71,7 @@ Please note that, as of writing, there's no learning-to-rank interface in scikit
 
 .. code-block:: python
 
+  import pandas as pd
   df = pd.DataFrame(X, columns=[str(i) for i in range(X.shape[1])])
   df["qid"] = qid[sorted_idx]
   ranker.fit(df, y)  # No need to pass qid as a separate argument