PySpark- onditionally compute median, fill NAs

Question

I have a PySpark dataframe:

values = [(\'Lacoste\', \'Red\', 6, 30), (\'Gap\', \'Orange\', 8, None), (\'Lacoste\', \'Green\', 5, 200),
         (\'Gap\', \'Red\',