diff --git a/py-polars/polars/dataframe/frame.py b/py-polars/polars/dataframe/frame.py
index 2d85a141e93f..ccf16204e79b 100644
--- a/py-polars/polars/dataframe/frame.py
+++ b/py-polars/polars/dataframe/frame.py
@@ -7828,16 +7828,18 @@ def pivot(
         Parameters
         ----------
         on
-            Name of the column(s) whose values will be used as the header of the output
+            The column(s) whose values will be used as the new columns of the output
             DataFrame.
         index
-            One or multiple keys to group by. If None, all remaining columns not specified
-            on `on` and `values` will be used. At least one of `index` and `values` must
-            be specified.
+            The column(s) that remain from the input to the output. The output DataFrame will have one row
+            for each unique combination of the `index`'s values.
+            If None, all remaining columns not specified on `on` and `values` will be used. At least one
+            of `index` and `values` must be specified.
         values
-            One or multiple keys to group by. If None, all remaining columns not specified
-            on `on` and `index` will be used. At least one of `index` and `values` must
-            be specified.
+            The existing column(s) of values which will be moved under the new columns from index. If an
+            aggregation is specified, these are the values on which the aggregation will be computed.
+            If None, all remaining columns not specified on `on` and `index` will be used.
+            At least one of `index` and `values` must be specified.
         aggregate_function
             Choose from: