Add examples to documentation for DataFrame.swaplevel

Author: thordisstella

pandas/core/frame.py

@@ -6278,6 +6278,52 @@ def swaplevel(self, i: Axis = -2, j: Axis = -1, axis: Axis = 0) -> DataFrame:
         Returns
         -------
         DataFrame
+
+        Examples
+        --------
+        >>> df = pd.DataFrame({'Grade':['A','B','A','C']},
+        ...                   index=[['Final exam', 'Final exam', 'Coursework',
+        ...                              'Coursework'],
+        ...                         ['History','Geography','History','Geography'],
+        ...                         ['January','February','March','April']])
+        >>> df
+                                            Grade
+        Final exam  History     January      A
+                    Geography   February     B
+        Coursework  History     March        A
+                    Geography   April        C
+
+        In the following example, we will swap the levels of the indices.
+        Here, we will swap the levels column-wise, but levels can be swapped row-wise
+        in a similar manner. Note that column-wise is the default behaviour.
+        By not supplying any arguments for i and j, we swap the last and second to last indices.
+        >>> df.swaplevel()
+                                            Grade
+        Final exam  January     History         A
+                    February    Geography       B
+        Coursework  March       History         A
+                    April       Geography       C
+
+        By supplying one argument, we can choose which index to swap the last index with.
+        We can for example swap the first index with the last one as follows.
+
+        >>> df.swaplevel(0)
+                                            Grade
+        January     History     Final exam      A
+        February    Geography   Final exam      B
+        March       History     Coursework      A
+        April       Geography   Coursework      C
+
+        We can also define explicitly which indices we want to swap by supplying values
+        for both i and j. Here, we for example swap the first and second indices.
+
+        >>> df.swaplevel(0,1)
+                                            Grade
+        History     Final exam  January         A
+        Geography   Final exam  February        B
+        History     Coursework  March           A
+        Geography   Coursework  April           C
+
         """
         result = self.copy()