DOC add example of DataFrame.index

pandas/core/frame.py

@@ -11768,7 +11768,50 @@ 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.values : Return a Numpy representation of the DataFrame.
+
+        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 `Int64Index` 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
+        reindexed with the new labels, and the output shows the modified DataFrame.
+        """
     )
     columns = properties.AxisProperty(axis=0, doc="The column labels of the DataFrame.")