Resolução Python de datetime.now ()
from datetime import datetime
import time
for i in range(1000):
curr_time = datetime.now()
print(curr_time)
time.sleep(0.0001)
Eu estava testando a resolução dedatetime.now()
. Como ele supõe a saída em microssegundos, eu esperava que cada impressão fosse diferente.
No entanto, eu sempre recebo algo assim.
...
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
...
Por que isso acontece? Existe alguma maneira de obter um carimbo de data e hora preciso até o microssegundo? Na verdade, não preciso de microssegundos, mas seria bom obter uma resolução de 0,1ms.
=== ATUALIZAÇÃO ====
Comparei-o com time.perf_counter () e adicionei ao arquivo inicialdatetime
de data e hora de importação data e hora, timedelta time de importação
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)
Não sei ao certo o quão "precisa" é realmente, mas a resolução é pelo menos mais alta ... não parece importar, pois meu computador não consegue nem imprimir a uma velocidade tão alta. Para meu propósito, que eu simplesmente preciso de carimbos de data / hora diferentes para distinguir entradas diferentes, isso é bom o suficiente para mim.
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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
...