diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index b9b3ca24b4162..b4ae6976c6916 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -788,7 +788,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.tseries.offsets.YearEnd.normalize GL08" \
         -i "pandas.tseries.offsets.YearEnd.rule_code GL08" \
         -i "pandas.unique PR07" \
-        -i "pandas.util.hash_array PR07,SA01" \
         -i "pandas.util.hash_pandas_object PR07,SA01" # There should be no backslash in the final line, please keep this comment in the last ignored function
 
     RET=$(($RET + $?)) ; echo $MSG "DONE"
diff --git a/pandas/core/util/hashing.py b/pandas/core/util/hashing.py
index 3b9dd40a92ce8..e120e69dc27cf 100644
--- a/pandas/core/util/hashing.py
+++ b/pandas/core/util/hashing.py
@@ -244,6 +244,7 @@ def hash_array(
     Parameters
     ----------
     vals : ndarray or ExtensionArray
+        The input array to hash.
     encoding : str, default 'utf8'
         Encoding for data & key when strings.
     hash_key : str, default _default_hash_key
@@ -257,6 +258,11 @@ def hash_array(
     ndarray[np.uint64, ndim=1]
         Hashed values, same length as the vals.
 
+    See Also
+    --------
+    util.hash_pandas_object : Return a data hash of the Index/Series/DataFrame.
+    util.hash_tuples : Hash an MultiIndex / listlike-of-tuples efficiently.
+
     Examples
     --------
     >>> pd.util.hash_array(np.array([1, 2, 3]))