diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index cabc25b5e0ba5..89f6992df2cbc 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -131,7 +131,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.DatetimeTZDtype.tz SA01" \
         -i "pandas.DatetimeTZDtype.unit SA01" \
         -i "pandas.Grouper PR02" \
-        -i "pandas.HDFStore.info RT03,SA01" \
         -i "pandas.HDFStore.keys SA01" \
         -i "pandas.HDFStore.put PR01,SA01" \
         -i "pandas.HDFStore.select SA01" \
diff --git a/pandas/io/pytables.py b/pandas/io/pytables.py
index d7fc71d037f2d..89c6ac9a58382 100644
--- a/pandas/io/pytables.py
+++ b/pandas/io/pytables.py
@@ -1688,17 +1688,26 @@ def info(self) -> str:
         Returns
         -------
         str
+            A String containing the python pandas class name, filepath to the HDF5
+            file and all the object keys along with their respective dataframe shapes.
+
+        See Also
+        --------
+        HDFStore.get_storer : Returns the storer object for a key.
 
         Examples
         --------
-        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=["A", "B"])
+        >>> df1 = pd.DataFrame([[1, 2], [3, 4]], columns=["A", "B"])
+        >>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=["C", "D"])
         >>> store = pd.HDFStore("store.h5", "w")  # doctest: +SKIP
-        >>> store.put("data", df)  # doctest: +SKIP
+        >>> store.put("data1", df1)  # doctest: +SKIP
+        >>> store.put("data2", df2)  # doctest: +SKIP
         >>> print(store.info())  # doctest: +SKIP
         >>> store.close()  # doctest: +SKIP
         <class 'pandas.io.pytables.HDFStore'>
         File path: store.h5
-        /data    frame    (shape->[2,2])
+        /data1            frame        (shape->[2,2])
+        /data2            frame        (shape->[2,2])
         """
         path = pprint_thing(self._path)
         output = f"{type(self)}\nFile path: {path}\n"