timeit模塊:
1) timeit.timeit(stmt='pass', setup='pass', timer=<defaulttimer>, number=1000000)
返回:返回執行stmt這段代碼number遍所用的時間,單位為秒,float型
參數:stmt:要執行的那段代碼
setup:執行代碼的准備工作,初始化代碼或構建環境導入語句,不計入時間,一般是import之類的
timer:這個在win32下是time.clock(),linux下是time.time(),默認的,不用管
number:要執行stmt多少遍
import timeit print timeit.timeit("sum(x)","x=(i for i in range(100))") 0.114394682716 def test(): L = [i for i in range(100)] #在setup中導入自定義函數 if __name__ == '__main__': import timeit print(timeit.timeit("test()", setup="from __main__ import test",number=10000)) 0.0800761957937
2) repeat(stmt='pass', setup='pass', timer=<defaulttimer>, repeat=3, number=1000000)
這個函數比timeit函數多了一個repeat參數而已,表示重復執行timeit這個過程多少遍,返回一個列表,表示執行每遍的時間
當然,為了方便,python還用了一個Timer類,Timer類里面的函數跟上面介紹的兩個函數是一樣一樣的
import timeit t = timeit.Timer('char in text', setup='text = "I love FishC.com!"; char = "o"') t.timeit() 0.054789127320191255 t.repeat() [0.05562128719998327, 0.046032358580077926, 0.044957160393096274]
3) timeit.default_timer()
默認的計時器
import timeit s1=timeit.default_timer() n=0 for i in range(101): n+=i d1=timeit.default_timer() d1-s1 0.00017283636378806477
4)
Timer類,Timer類里面的函數跟上面介紹的兩個函數是一樣一樣的
class timeit.Timer(stmt='pass', setup='pass',timer=<timer function>)
Timer.timeit(number=1000000)
Timer.repeat(repeat=3,number=1000000)
def test(): L = [i for i in range(100)] timeObj=timeit.Timer(stmt="test()",setup="from __main__ import test") print timeObj.timeit(number=2) 3.16114014822e-05 print timeObj.repeat(repeat=5) [5.158685950990275, 4.8465939741281545, 4.779073662776227, 4.764550071228314, 4.747949980088833]
import timeit import math import pprint def myfun(): for i in range(100): for j in range(2, 10): math.pow(i, 1/j) n = 100 t1 = timeit.timeit(stmt=myfun, number=n) pprint.pprint(t1) t2 = timeit.repeat(stmt=myfun, number=n, repeat=5) pprint.pprint(t2) print() timeitObj = timeit.Timer(stmt=myfun) t3 = timeitObj.timeit(number=n) pprint.pprint(t3) t4 = timeitObj.repeat(number=n, repeat=5) pprint.pprint(t4) 0.029213861394509877 [0.03452991382800974, 0.03289597385673915, 0.031878661483006, 0.03200839139026357, 0.03210733097148477] () 0.021823362057602935 [0.024504583653197187, 0.02141200330106585, 0.02137833921096899, 0.021332358990548528, 0.022017956918261916]
5)命令行調用
python -m timeit [-n N] [-r N] [-s S] [-t] [-c] [-h] [statement...]
-n N 執行指定語句的次數
-r N 重復測量的次數(默認3次)
-s S 指定初始化代碼活構建環境的導入語句(默認pass)
python 3.3新增
-t 使用time.time() (不推薦)
-c 使用time.clock() (不推薦)
-v 打印原始計時結果
-h 幫助
$ python -m timeit '"-".join(str(n) for n in range(100))' 10000 loops, best of 3: 40.3 usec per loop $ python -m timeit '"-".join([str(n) for n in range(100)])' 10000 loops, best of 3: 33.4 usec per loop $ python -m timeit '"-".join(map(str, range(100)))' 10000 loops, best of 3: 25.2 usec per loop