diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 5870a9ad8d60b..9453edb0c88d8 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -108,14 +108,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.read_clipboard \
         pandas.ExcelFile \
         pandas.ExcelFile.parse \
-        pandas.DataFrame.to_html \
         pandas.io.formats.style.Styler.to_html \
-        pandas.HDFStore.put \
-        pandas.HDFStore.append \
-        pandas.HDFStore.get \
-        pandas.HDFStore.select \
-        pandas.HDFStore.info \
-        pandas.HDFStore.keys \
         pandas.HDFStore.groups \
         pandas.HDFStore.walk \
         pandas.read_feather \
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index c7e8f74ff7849..68fa0024472f6 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -3127,6 +3127,11 @@ def to_html(
         See Also
         --------
         to_string : Convert DataFrame to a string.
+
+        Examples
+        --------
+        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> df.to_html()  # doctest: +SKIP
         """
         if justify is not None and justify not in fmt._VALID_JUSTIFY_PARAMETERS:
             raise ValueError("Invalid value for justify parameter")
diff --git a/pandas/io/pytables.py b/pandas/io/pytables.py
index c9dab71805b62..c37f2ba5114c4 100644
--- a/pandas/io/pytables.py
+++ b/pandas/io/pytables.py
@@ -662,6 +662,16 @@ def keys(self, include: str = "pandas") -> list[str]:
         Raises
         ------
         raises ValueError if kind has an illegal value
+
+        Examples
+        --------
+        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> store = pd.HDFStore("store.h5", 'w')  # doctest: +SKIP
+        >>> store.put('data', df)  # doctest: +SKIP
+        >>> store.get('data')  # doctest: +SKIP
+        >>> print(store.keys())  # doctest: +SKIP
+        ['/data1', '/data2']
+        >>> store.close()  # doctest: +SKIP
         """
         if include == "pandas":
             return [n._v_pathname for n in self.groups()]
@@ -781,6 +791,14 @@ def get(self, key: str):
         -------
         object
             Same type as object stored in file.
+
+        Examples
+        --------
+        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> store = pd.HDFStore("store.h5", 'w')  # doctest: +SKIP
+        >>> store.put('data', df)  # doctest: +SKIP
+        >>> store.get('data')  # doctest: +SKIP
+        >>> store.close()  # doctest: +SKIP
         """
         with patch_pickle():
             # GH#31167 Without this patch, pickle doesn't know how to unpickle
@@ -835,6 +853,24 @@ def select(
         -------
         object
             Retrieved object from file.
+
+        Examples
+        --------
+        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> store = pd.HDFStore("store.h5", 'w')  # doctest: +SKIP
+        >>> store.put('data', df)  # doctest: +SKIP
+        >>> store.get('data')  # doctest: +SKIP
+        >>> print(store.keys())  # doctest: +SKIP
+        ['/data1', '/data2']
+        >>> store.select('/data1')  # doctest: +SKIP
+           A  B
+        0  1  2
+        1  3  4
+        >>> store.select('/data1', where='columns == A')  # doctest: +SKIP
+           A
+        0  1
+        1  3
+        >>> store.close()  # doctest: +SKIP
         """
         group = self.get_node(key)
         if group is None:
@@ -1107,6 +1143,12 @@ def put(
             independent on creation time.
         dropna : bool, default False, optional
             Remove missing values.
+
+        Examples
+        --------
+        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> store = pd.HDFStore("store.h5", 'w')  # doctest: +SKIP
+        >>> store.put('data', df)  # doctest: +SKIP
         """
         if format is None:
             format = get_option("io.hdf.default_format") or "fixed"
@@ -1243,6 +1285,20 @@ def append(
         -----
         Does *not* check if data being appended overlaps with existing
         data in the table, so be careful
+
+        Examples
+        --------
+        >>> df1 = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> store = pd.HDFStore("store.h5", 'w')  # doctest: +SKIP
+        >>> store.put('data', df1, format='table')  # doctest: +SKIP
+        >>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=['A', 'B'])
+        >>> store.append('data', df2)  # doctest: +SKIP
+        >>> store.close()  # doctest: +SKIP
+           A  B
+        0  1  2
+        1  3  4
+        0  5  6
+        1  7  8
         """
         if columns is not None:
             raise TypeError(
@@ -1578,6 +1634,17 @@ def info(self) -> str:
         Returns
         -------
         str
+
+        Examples
+        --------
+        >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'])
+        >>> store = pd.HDFStore("store.h5", 'w')  # doctest: +SKIP
+        >>> store.put('data', df)  # 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])
         """
         path = pprint_thing(self._path)
         output = f"{type(self)}\nFile path: {path}\n"