How to use different combinations of group by while trying to get the top most viewed

Question

Am trying to get the top most rating using groupby of multiple columns and if there is no combination of that particular groupby, its throwing me an error . how to do multiple c

Answer 1

This is one non-pandas solution. Counter.most_common() orders results by most common descending counts.

from collections import Counter

def get_top(maritalstatus=None, gender=None, age_range=None, occ=None):

    cols = ['maritalstatus', 'gender', 'age_range', 'occ']
    values = [maritalstatus, gender, age_range, occ]

    c = Counter(df.query(' & '.join((('({0} ==  "{1}")').format(i, j)) \
                for i, j in zip(cols, values) if j))['rating'])

    return c.most_common()

get_top(maritalstatus='ma', gender='M', age_range='young')  # [('PG', 2)]