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This article is about how Python uses the timeit module. Xiaobian thinks it is quite practical, so share it with everyone for reference. Let's follow Xiaobian and have a look.

timeit module

The timeit module provides a way to measure the execution time of small Python code pieces, either directly from the command-line interface or via an import module.

Number of times the statement is executed

#import timeit.timeitfrom timeit import timeit#see the execution time of x=1 (number can be omitted, default is 100000)t1 = timeit ('x= 1', number=1)print(t1)#Execution time of a list generator, executed 10000 times: t2 = timeit ('[i for i in range(100) if i%2==0 $>', number=10000)print(t2) Output: 4.00000001150227e-070.04841430000002

Compute the execution time of a function

from timeit import timeitdef func(a): sum = 0 for i in range(a): sum += i return sum# timeit(function name_string, runtime environment_string, number= number of runs)t = timeit ('func (1000000)', 'from __main__ import func', number=1)print(t) Output: 0.4887406 Repeatedly calling timeit()

Repeat() is equivalent to calling timeit() several times over and returning the result as a list. The repeat parameter specifies the number of repetitions, and the number parameter is passed to the number parameter of the timeit() method.

import timeitdef func(a): sum = 0 for i in range(a): sum += i return sum# timeit(function name_string, running environment_string, number= run times,repeat= repeat times, repeat=5)t = timeit.repeat ('func (100000)', 'from __main__ import func', number=100, repeat=5)print(t) Thank you for reading! About "python how to use timeit module" This article is shared here, I hope the above content can have some help for everyone, so that everyone can learn more knowledge, if you think the article is good, you can share it to let more people see it!

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