diff --git a/python/pyspark/pandas/sql_formatter.py b/python/pyspark/pandas/sql_formatter.py
index b6d48077675bd..fe500c0bf2079 100644
--- a/python/pyspark/pandas/sql_formatter.py
+++ b/python/pyspark/pandas/sql_formatter.py
@@ -109,14 +109,13 @@ def sql(
     args : dict or list
         A dictionary of parameter names to Python objects or a list of Python objects
         that can be converted to SQL literal expressions. See
-        `Supported Data Types`_ for supported value types in Python.
+        `Supported Data Types <https://spark.apache.org/docs/latest/sql-ref-datatypes.html>`_
+        for supported value types in Python.
         For example, dictionary keys: "rank", "name", "birthdate";
         dictionary values: 1, "Steven", datetime.date(2023, 4, 2).
         A value can be also a `Column` of a literal or collection constructor functions such
         as `map()`, `array()`, `struct()`, in that case it is taken as is.
 
-        .. _Supported Data Types: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
-
         .. versionadded:: 3.4.0
 
         .. versionchanged:: 3.5.0