PySpark: I think my GroupBy is applying the function on the entire column instead of unique subgroups

Question

I have a dataframe with columns \'asin\' and \'price\'. Here are the first 20 rows:

+----------+-----+
|asin      |price|
+----------+-----+
|B006I74FRS|27.99