diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index c046d55d80b49..55618590071b5 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -532,7 +532,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.api.extensions.ExtensionArray.ndim \
         pandas.api.extensions.ExtensionArray.shape \
         pandas.api.extensions.ExtensionArray.tolist \
-        pandas.DataFrame.index \
         pandas.DataFrame.columns \
         pandas.DataFrame.__iter__ \
         pandas.DataFrame.keys \
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 31af2a8ff1304..051ebfff47f83 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -11770,7 +11770,50 @@ def isin(self, values: Series | DataFrame | Sequence | Mapping) -> DataFrame:
     _info_axis_name: Literal["columns"] = "columns"
 
     index = properties.AxisProperty(
-        axis=1, doc="The index (row labels) of the DataFrame."
+        axis=1,
+        doc="""
+        The index (row labels) of the DataFrame.
+
+        The index of a DataFrame is a series of labels that identify each row.
+        The labels can be integers, strings, or any other hashable type. The index
+        is used for label-based access and alignment, and can be accessed or
+        modified using this attribute.
+
+        Returns
+        -------
+        pandas.Index
+            The index labels of the DataFrame.
+
+        See Also
+        --------
+        DataFrame.columns : The column labels of the DataFrame.
+        DataFrame.to_numpy : Convert the DataFrame to a NumPy array.
+
+        Examples
+        --------
+        >>> df = pd.DataFrame({'Name': ['Alice', 'Bob', 'Aritra'],
+        ...                    'Age': [25, 30, 35],
+        ...                    'Location': ['Seattle', 'New York', 'Kona']},
+        ...                   index=([10, 20, 30]))
+        >>> df.index
+        Index([10, 20, 30], dtype='int64')
+
+        In this example, we create a DataFrame with 3 rows and 3 columns,
+        including Name, Age, and Location information. We set the index labels to
+        be the integers 10, 20, and 30. We then access the `index` attribute of the
+        DataFrame, which returns an `Index` object containing the index labels.
+
+        >>> df.index = [100, 200, 300]
+        >>> df
+            Name  Age Location
+        100  Alice   25  Seattle
+        200    Bob   30 New York
+        300  Aritra  35    Kona
+
+        In this example, we modify the index labels of the DataFrame by assigning
+        a new list of labels to the `index` attribute. The DataFrame is then
+        updated with the new labels, and the output shows the modified DataFrame.
+        """,
     )
     columns = properties.AxisProperty(axis=0, doc="The column labels of the DataFrame.")