from datetime import datetime
import time
for i in range(1000):
curr_time = datetime.now()
print(curr_time)
time.sleep(0.0001)
我正在测试
datetime.now()
的分辨率。由于它应该以微秒为单位输出,我期望每次打印输出都会不同。然而,我总是得到类似这样的输出结果。...
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.212073
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
2015-07-10 22:38:47.213074
...
为什么会发生这种情况?有没有办法获得准确的微秒级时间戳?实际上我不需要微秒,但能获取0.1毫秒的分辨率会很好。
=== 更新 ====
我将其与使用time.perf_counter()和添加到起始datetime的方式进行了比较from datetime import datetime, timedeltaimport time
datetime0 = datetime.now()
t0 = time.perf_counter()
for i in range(1000):
print('datetime.now(): ', datetime.now())
print('time.perf_counter(): ', datetime0 + timedelta(0, time.perf_counter()-t0))
print('\n')
time.sleep(0.000001)
我不确定它真正有多“准确”,但分辨率至少更高。然而,这似乎并不重要,因为我的电脑甚至无法以如此高的速度打印。对于我的目的来说,我只是需要不同的时间戳来区分不同的条目,所以这对我来说已经足够好了。
...
datetime.now(): 2015-07-10 23:24:18.010377
time.perf_counter(): 2015-07-10 23:24:18.010352
datetime.now(): 2015-07-10 23:24:18.010377
time.perf_counter(): 2015-07-10 23:24:18.010545
datetime.now(): 2015-07-10 23:24:18.010377
time.perf_counter(): 2015-07-10 23:24:18.010745
datetime.now(): 2015-07-10 23:24:18.011377
time.perf_counter(): 2015-07-10 23:24:18.010961
datetime.now(): 2015-07-10 23:24:18.011377
time.perf_counter(): 2015-07-10 23:24:18.011155
datetime.now(): 2015-07-10 23:24:18.011377
time.perf_counter(): 2015-07-10 23:24:18.011369
datetime.now(): 2015-07-10 23:24:18.011377
time.perf_counter(): 2015-07-10 23:24:18.011596
datetime.now(): 2015-07-10 23:24:18.012379
time.perf_counter(): 2015-07-10 23:24:18.011829
datetime.now(): 2015-07-10 23:24:18.012379
time.perf_counter(): 2015-07-10 23:24:18.012026
datetime.now(): 2015-07-10 23:24:18.012379
time.perf_counter(): 2015-07-10 23:24:18.012232
datetime.now(): 2015-07-10 23:24:18.012379
time.perf_counter(): 2015-07-10 23:24:18.012424
datetime.now(): 2015-07-10 23:24:18.012379
time.perf_counter(): 2015-07-10 23:24:18.012619
datetime.now(): 2015-07-10 23:24:18.013380
time.perf_counter(): 2015-07-10 23:24:18.012844
datetime.now(): 2015-07-10 23:24:18.013380
time.perf_counter(): 2015-07-10 23:24:18.013044
datetime.now(): 2015-07-10 23:24:18.013380
time.perf_counter(): 2015-07-10 23:24:18.013242
datetime.now(): 2015-07-10 23:24:18.013380
time.perf_counter(): 2015-07-10 23:24:18.013437
datetime.now(): 2015-07-10 23:24:18.013380
time.perf_counter(): 2015-07-10 23:24:18.013638
datetime.now(): 2015-07-10 23:24:18.014379
time.perf_counter(): 2015-07-10 23:24:18.013903
datetime.now(): 2015-07-10 23:24:18.014379
time.perf_counter(): 2015-07-10 23:24:18.014125
datetime.now(): 2015-07-10 23:24:18.014379
time.perf_counter(): 2015-07-10 23:24:18.014328
datetime.now(): 2015-07-10 23:24:18.014379
time.perf_counter(): 2015-07-10 23:24:18.014526
datetime.now(): 2015-07-10 23:24:18.014379
time.perf_counter(): 2015-07-10 23:24:18.014721
datetime.now(): 2015-07-10 23:24:18.015381
time.perf_counter(): 2015-07-10 23:24:18.014919
...
GetSystemTimeAsFileTime()
的datetime.utcnow()
或utcnow_microseconds()
(删除time.sleep()
)会发生什么? - jfs