与时间模块在python是可能测量经过的时间?如果是,我该怎么做?

我需要这样做,以便如果光标在小部件中停留了一段时间,就会发生一个事件。


当前回答

Time.time()就可以了。

import time

start = time.time()
# run your code
end = time.time()

elapsed = end - start

你可能想看看这个问题,但我认为没有必要。

其他回答

对于想要更好格式的用户,

import time
start_time = time.time()
# your script
elapsed_time = time.time() - start_time
time.strftime("%H:%M:%S", time.gmtime(elapsed_time))

将打印出来,持续2秒:

'00:00:02'

在7分1秒内:

'00:07:01'

注意,gmtime的最小时间单位是秒。如果您需要微秒,请考虑以下内容:

import datetime
start = datetime.datetime.now()
# some code
end = datetime.datetime.now()
elapsed = end - start
print(elapsed)
# or
print(elapsed.seconds,":",elapsed.microseconds) 

strftime文档

您需要导入时间,然后使用time.time()方法来了解当前时间。

import time

start_time=time.time() #taking current time as starting time

#here your code

elapsed_time=time.time()-start_time #again taking current time - starting time 

瓦迪姆·申德的反应很棒。你也可以使用一个简单的装饰器,如下所示:

import datetime
def calc_timing(original_function):                            
    def new_function(*args,**kwargs):                        
        start = datetime.datetime.now()                     
        x = original_function(*args,**kwargs)                
        elapsed = datetime.datetime.now()                      
        print("Elapsed Time = {0}".format(elapsed-start))     
        return x                                             
    return new_function()  

@calc_timing
def a_func(*variables):
    print("do something big!")

Time.time()就可以了。

import time

start = time.time()
# run your code
end = time.time()

elapsed = end - start

你可能想看看这个问题,但我认为没有必要。

在编程中,主要有两种测量时间的方法,结果不同:

>>> print(time.process_time()); time.sleep(10); print(time.process_time())
0.11751394000000001
0.11764988400000001  # took  0 seconds and a bit
>>> print(time.perf_counter()); time.sleep(10); print(time.perf_counter())
3972.465770326
3982.468109075       # took 10 seconds and a bit

Processor Time: This is how long this specific process spends actively being executed on the CPU. Sleep, waiting for a web request, or time when only other processes are executed will not contribute to this. Use time.process_time() Wall-Clock Time: This refers to how much time has passed "on a clock hanging on the wall", i.e. outside real time. Use time.perf_counter() time.time() also measures wall-clock time but can be reset, so you could go back in time time.monotonic() cannot be reset (monotonic = only goes forward) but has lower precision than time.perf_counter()