python - Efficiently count list entries that are smaller than a given value -


i have 2 lists, 1 contains employee salaries , 1 contains queries. each query want print how many employee salaries less that.

below can find code use, exceeds time limit large inputs. therefore, i'm looking more efficient solutions.

sal = [int(raw_input()) x in range(num_employees)] q = [int(raw_input()) x in range(num_queries)] in q:     count = 0     ep in sal:         if ep < i:             count +=1     print count

i don't know whether faster (or slower) solution. can use timeit module determine large inputs.

sal = [int(raw_input()) x in range(num_employees)] q = [int(raw_input()) x in range(num_queries)] in q:    print sum(1 s in sal if s < i)

depending on data sizes, sort salaries , queries beforehand , need make 1 pass on lists:

idx = 0 sal = sorted(sal) count = 0 q in sorted(queries):     while sal[idx] < q:         count += 1         idx += 1     print count

this second method faster long inputs, perhaps slower shorter inputs - you'd have profile representative data. if data sorted method fast.


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