If a have a list like:
l = [1,2,3,4,5]
and I want to have at the end
min = 1
max = 5
WITHOUT
The fastest approach I can think of would be to sort the original list and then pick the first and last elements. This avoids looping multiple times, but it does destroy the original structure of your list. This can be solved by simply copying the list and sorting only the copied list. I was curious if this was slower than just using max() and min() with this quick example script:
import time
l = [1,2,4,5,3]
print "Run 1"
t1 = time.time()
print "Min =", min(l)
print "Max =", max(l)
print "time =", time.time() - t1
print ""
print "l =", l
print ""
l = [1,2,4,5,3]
l1 = list(l)
print "Run 2"
t1 = time.time()
l1.sort()
print "Min =", l1[0]
print "Max =", l1[-1]
print "time =", time.time() - t1
print ""
print "l =", l
print "l1 =", l1
print ""
l = [1,2,4,5,3]
print "Run 3"
minimum = float('inf')
maximum = float('-inf')
for item in l:
if item < minimum:
minimum = item
if item > maximum:
maximum = item
print "Min =", minimum
print "Max =", maximum
print "time =", time.time() - t1
print ""
print "l =", l
Surprisingly, the second approach is faster by about 10ms on my computer. Not sure how effective this would be with very large list, but this approach is faster for at least the example list you provided.
I added @Martijn Pieters's simple loop algorithm to my timing script. (As timing would be the only important parameter worth exploring in this question.) My results are:
Run 1: 0.0199999809265s
Run 2: 0.00999999046326s
Run 3: 0.0299999713898s
Edit: Inclusion of timeit module for timing.
import timeit
from random import shuffle
l = range(10000)
shuffle(l)
def Run_1():
#print "Min =", min(l)
#print "Max =", max(l)
return min(l), max(l)
def Run_2():
l1 = list(l)
l1.sort()
#print "Min =", l1[0]
#print "Max =", l1[-1]
return l1[0], l1[-1]
def Run_3():
minimum = float('inf')
maximum = float('-inf')
for item in l:
if item < minimum:
minimum = item
if item > maximum:
maximum = item
#print "Min =", minimum
#print "Max =", maximum
return minimum, maximum
if __name__ == '__main__':
num_runs = 10000
print "Run 1"
run1 = timeit.Timer(Run_1)
time_run1 = run1.repeat(3, num_runs)
print ""
print "Run 2"
run2 = timeit.Timer(Run_2)
time_run2 = run2.repeat(3,num_runs)
print ""
print "Run 3"
run3 = timeit.Timer(Run_3)
time_run3 = run3.repeat(3,num_runs)
print ""
print "Run 1"
for each_time in time_run1:
print "time =", each_time
print ""
print "Run 2"
for each_time in time_run2:
print "time =", each_time
print ""
print "Run 3"
for each_time in time_run3:
print "time =", each_time
print ""
My results are:
Run 1
time = 3.42100585452
time = 3.39309908229
time = 3.47903182233
Run 2
time = 26.5261287922
time = 26.2023346397
time = 26.7324208568
Run 3
time = 3.29800945144
time = 3.25067545773
time = 3.29783778232
sort algorithm is very slow for large arrays.