Compare performance of set and list in identifying unique values
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import random | |
import statistics | |
from timeit import default_timer as timer | |
def time_function(f, data): | |
times = [] | |
for _ in range(0, 20): | |
start = timer() | |
f(data) | |
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.append(n) | |
uniq_elems = set(uniq_elems) | |
def extract_uniq_elems_using_set(nums): | |
uniq_elems = set() | |
for n in nums: | |
uniq_elems.add(n) | |
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