最早见过手写的,类似于下面这种:
import datetime def time_1(): begin = datetime.datetime.now() sum = 0 for i in xrange(10000000): sum = sum + i end = datetime.datetime.now() return end-begin print time_1()
输出如下:
➜ Python python time_1.py
0:00:00.280797
另外一种方法是使用timeit模块,使用方法如下:
In [5]: import timeit In [6]: timeit.timeit(\"sum(range(100))\") Out[6]: 1.2272648811340332
还可以在命令行上使用这种timeit模块,如下:
➜ Python python -m timeit -s\"import time_1 as t\" \"t.time_1()\" 0:00:00.282044 10 loops, best of 3: 279 msec per loop
注意:timeit模块会多次运行程序以获得更精确的时间,所以需要避免重复执行带来的影响。比方说x.sort()这种操作,因为第一次执行之后,后边已经是排好的了,准确性就收到了影响。
还有一种方法是使用cProfile模块,代码如下,名字为time_1.py:
import datetime def time_1(): begin = datetime.datetime.now() sum = 0 for i in xrange(10000000): sum = sum + i end = datetime.datetime.now() return end-begin if __name__ == \'__main__\': print time_1() import cProfile cProfile.run(\'time_1()\')
运行程序结果如下:
➜ Python python time_1.py 0:00:00.282828 2 function calls in 0.000 seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.000 0.000:1( ) 1 0.000 0.000 0.000 0.000 {method \'disable\' of \'_lsprof.Profiler\' objects} Traceback (most recent call last): File \"time_1.py\", line 15, in cProfile.run(\'main()\') File \"/usr/lib/python2.7/cProfile.py\", line 29, in run prof = prof.run(statement) File \"/usr/lib/python2.7/cProfile.py\", line 135, in run return self.runctx(cmd, dict, dict) File \"/usr/lib/python2.7/cProfile.py\", line 140, in runctx exec cmd in globals, locals File \" \", line 1, in NameError: name \'main\' is not defined ➜ Python vi time_1.py ➜ Python python time_1.py 0:00:00.284642 5 function calls in 0.281 seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.281 0.281 :1( ) 1 0.281 0.281 0.281 0.281 time_1.py:3(time_1) 2 0.000 0.000 0.000 0.000 {built-in method now} 1 0.000 0.000 0.000 0.000 {method \'disable\' of \'_lsprof.Profiler\' objects}
一开始代码里最后一行写的是cProfile.run(\’main()\’),提示没有main(),将main()改成函数名字就可以了。
以上就是本文的全部内容,希望对大家学习python程序设计有所帮助。