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DOC: Clarify loc and iloc functionality in user_guide/indexing.html #60501

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7 changes: 4 additions & 3 deletions doc/source/user_guide/indexing.rst
Original file line number Diff line number Diff line change
Expand Up @@ -858,9 +858,10 @@ and :ref:`Advanced Indexing <advanced>` you may select along more than one axis

.. warning::

``iloc`` supports two kinds of boolean indexing. If the indexer is a boolean ``Series``,
an error will be raised. For instance, in the following example, ``df.iloc[s.values, 1]`` is ok.
The boolean indexer is an array. But ``df.iloc[s, 1]`` would raise ``ValueError``.
While ``loc`` supports two kinds of boolean indexing, ``iloc`` only supports indexing with a
boolean array. If the indexer is a boolean ``Series``, an error will be raised. For instance,
in the following example, ``df.iloc[s.values, 1]`` is ok. The boolean indexer is an array.
But ``df.iloc[s, 1]`` would raise ``ValueError``.

.. ipython:: python

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