## here is the answer to problem 2 in '2 lines'
csvFile = pd.read_csv('RollingStoneAlbumList.csv')
csvFile["Genre"]= csvFile["Genre"].str.split(",", n = 1, expand = True) #source: https://www.geeksforgeeks.org/python-pandas-split-strings-into-two-list-columns-using-str-split/
csvFile.groupby("Genre").count().sort_values('Number',ascending=False)[['Number']]

## here it is without the method we haven't learned yet in only '1' line
csvFile = pd.read_csv('RollingStoneAlbumList.csv')
csvFile.groupby("Genre").count().sort_values('Number',ascending=False)[['Number']]
#however, this is not the full solution as it does not sort by primary genre