There is a dataframe with the columns district, crime_type, date, month

df = spark.createDataFrame(
            [('D1', 'ROBBERY', '2024-02-01', 2),
             ('D1', 'ROBBERY', '2024-02-01', 2),
             ('D1', 'DRUGS', '2024-03-05', 3),
             ('D1', 'FRAUD', '2024-03-05', 3),
             ('D1', 'AUTO THEFT', '2024-01-09',1),                           
             ('D1', 'AUTO THEFT', '2024-01-03', 1),
             ('D2', 'MURDER', '2024-05-04', 5),
             ('D2', 'MURDER', '2024-06-01', 6), 
             ('D2', 'RAPE', '2024-07-02', 7)],
             ['district', 'crime_type', 'date', 'month'])                           

It is necessary to get the list of top 3 most frequent crime_type for each district (as a comma-separated string) and the median (not average!) value of the crime count by month column for this district.
The result should be a new dataframe with three columns: district, top_3_crime_types, median_crimes_monthly: