Skip to content

Instantly share code, notes, and snippets.

What would you like to do?
Compare performance of set and list in identifying unique values
import random
import statistics
from timeit import default_timer as timer
def time_function(f, data):
times = []
for _ in range(0, 20):
start = timer()
times.append(timer() - start)
print(f'{f.__name__} Mean Time: {statistics.mean(times)} Median Time:{statistics.median(times)}')
def extract_uniq_elems_using_list(nums):
uniq_elems = []
for n in nums:
uniq_elems = set(uniq_elems)
def extract_uniq_elems_using_set(nums):
uniq_elems = set()
for n in nums:
not_so_randoms = [random.randint(0, 10000) for i in range(0, 10000)]
randoms = [random.randint(0, 10000) for i in range(0, 10000)]
for i in range(1, 14):
print(f'Nums: {len(randoms)}')
time_function(extract_uniq_elems_using_set, not_so_randoms)
time_function(extract_uniq_elems_using_list, not_so_randoms)
time_function(extract_uniq_elems_using_set, randoms)
time_function(extract_uniq_elems_using_list, randoms)
not_so_randoms *= 2
randoms.extend(random.randint(0, len(randoms)) for i in range(0, len(randoms)))
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment