为什么time.clock和time.time的计时时间不同

咕咕鸡鸽鸽

以数字求和为例，发现time会返回一个较少的值，而clock会较大，为什么会这样

1. 
   
2. import time
   
3. '''
   
4. def foo(x,y):
   
5.     tt = time.clock()
   
6.     s = 0
   
7.     for i in range(x,y):
   
8.         s += i
   
9.     print("Time used:{} sec".format(time.clock()))
   
10.     return s
    
11. 
    
12. print(foo(1,1000000))
    
13. 
    
14. '''
    
15. '''
    
16. def foo(x,y):
    
17.     tt = time.time()
    
18.     s = 0
    
19.     for i in range(x,y):
    
20.         s += i
    
21.     print('Time used: {} sec'.format(time.time()-tt))
    
22.     return s
    
23. 
    
24. print(foo(1,1000000))
    
25. '''

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TCY

两次运行结果：

1. >>>
   
2. ============== RESTART: C:\Users\Administrator\Desktop\test.pyw ==============
   
3. 
   
4. Warning (from warnings module):
   
5.   File "C:\Users\Administrator\Desktop\test.pyw", line 4
   
6.     tt = time.clock()
   
7. DeprecationWarning: time.clock has been deprecated in Python 3.3 and will be removed from Python 3.8: use time.perf_counter or time.process_time instead
   
8. 
   
9. Warning (from warnings module):
   
10.   File "C:\Users\Administrator\Desktop\test.pyw", line 8
    
11.     print("Time used:{} sec".format(time.clock()))
    
12. DeprecationWarning: time.clock has been deprecated in Python 3.3 and will be removed from Python 3.8: use time.perf_counter or time.process_time instead
    
13. Time used:1.108299428 sec
    
14. 499999500000

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1. >>>
   
2. ============== RESTART: C:\Users\Administrator\Desktop\test.pyw ==============
   
3. Time used: 0.23301315307617188 sec
   
4. 499999500000

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咕咕鸡鸽鸽

TCY 发表于 2019-4-27 17:29
两次运行结果：

所以为什么会这样呀。。。

冬雪雪冬

我测试差不多；

1. ========================== RESTART: D:\py\test2.py ==========================
   
2. Time used: 0.16892194747924805 sec
   
3. time 499999500000
   
4. >>>
   
5. ========================== RESTART: D:\py\test2.py ==========================
   
6. Time used:0.1626465 sec
   
7. clock 499999500000

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TCY

time.clock()

用以浮点数计算的秒数返回当前的 CPU 时间。用来衡量不同程序的耗时，比 time.time() 更有用。

Python 3.3 以后不被推荐，由于该方法依赖操作系统，建议使用 perf_counter() 或 process_time() 代替（一个返回系统运行时间，一个返回进程运行时间，请按照实际需求选择）

time.time()

返回当前时间的时间戳（1970 纪元年后经过的浮点秒数）