High-precision clock in Python

The standard time.time() function provides sub-second precision, though that precision varies by platform. For Linux and Mac precision is +- 1 microsecond or 0.001 milliseconds. Python on Windows uses +- 16 milliseconds precision due to clock implementation problems due to process interrupts. The timeit module can provide higher resolution if you're measuring execution time.

>>> import time
>>> time.time()        #return seconds from epoch
1261367718.971009      

Python 3.7 introduces new functions to the time module that provide higher resolution:

>>> import time
>>> time.time_ns()
1530228533161016309
>>> time.time_ns() / (10 ** 9) # convert to floating-point seconds
1530228544.0792289

You can also use time.clock() It counts the time used by the process on Unix and time since the first call to it on Windows. It's more precise than time.time().

It's the usually used function to measure performance.

Just call

import time
t_ = time.clock()
#Your code here
print 'Time in function', time.clock() - t_

EDITED: Ups, I miss the question as you want to know exactly the time, not the time spent...

The original question specifically asked for Unix but multiple answers have touched on Windows, and as a result there is misleading information on windows. The default timer resolution on windows is 15.6ms you can verify here.

Using a slightly modified script from cod3monk3y I can show that windows timer resolution is ~15milliseconds by default. I'm using a tool available here to modify the resolution.

Script:

import time

# measure the smallest time delta by spinning until the time changes
def measure():
    t0 = time.time()
    t1 = t0
    while t1 == t0:
        t1 = time.time()
    return t1-t0

samples = [measure() for i in range(30)]

for s in samples:
    print(f'time delta: {s:.4f} seconds') 

These results were gathered on windows 10 pro 64-bit running python 3.7 64-bit.

I observed that the resolution of time.time() is different between Windows 10 Professional and Education versions.

On a Windows 10 Professional machine, the resolution is 1 ms. On a Windows 10 Education machine, the resolution is 16 ms.

Fortunately, there's a tool that increases Python's time resolution in Windows: https://vvvv.org/contribution/windows-system-timer-tool

With this tool, I was able to achieve 1 ms resolution regardless of Windows version. You will need to be keep it running while executing your Python codes.

For those stuck on windows (version >= server 2012 or win 8)and python 2.7,

import ctypes

class FILETIME(ctypes.Structure):
    _fields_ = [("dwLowDateTime", ctypes.c_uint),
                ("dwHighDateTime", ctypes.c_uint)]

def time():
    """Accurate version of time.time() for windows, return UTC time in term of seconds since 01/01/1601
"""
    file_time = FILETIME()
    ctypes.windll.kernel32.GetSystemTimePreciseAsFileTime(ctypes.byref(file_time))
    return (file_time.dwLowDateTime + (file_time.dwHighDateTime << 32)) / 1.0e7

GetSystemTimePreciseAsFileTime function

On the same win10 OS system using "two distinct method approaches" there appears to be an approximate "500 ns" time difference. If you care about nanosecond precision check my code below.

The modifications of the code is based on code from user cod3monk3y and Kevin S.

OS: python 3.7.3 (default, date, time) [MSC v.1915 64 bit (AMD64)]

def measure1(mean):
    for i in range(1, my_range+1):
        x = time.time()
        
        td = x- samples1[i-1][2]
        if i-1 == 0:
            td = 0
        td = f'{td:.6f}'
        samples1.append((i, td, x))
        mean += float(td)
        print (mean)
        sys.stdout.flush()
        time.sleep(0.001)
    
    mean = mean/my_range
    
    return mean

def measure2(nr):
    t0 = time.time()
    t1 = t0
    while t1 == t0:
        t1 = time.time()
    td = t1-t0
    td = f'{td:.6f}'
    return (nr, td, t1, t0)

samples1 = [(0, 0, 0)]
my_range = 10
mean1    = 0.0
mean2    = 0.0

mean1 = measure1(mean1)

for i in samples1: print (i)

print ('...\n\n')

samples2 = [measure2(i) for i in range(11)]

for s in samples2:
    #print(f'time delta: {s:.4f} seconds')
    mean2 += float(s[1])
    print (s)
    
mean2 = mean2/my_range

print ('\nMean1 : ' f'{mean1:.6f}')
print ('Mean2 : ' f'{mean2:.6f}')

The measure1 results:

nr, td, t0
(0, 0, 0)
(1, '0.000000', 1562929696.617988)
(2, '0.002000', 1562929696.6199884)
(3, '0.001001', 1562929696.620989)
(4, '0.001001', 1562929696.62199)
(5, '0.001001', 1562929696.6229906)
(6, '0.001001', 1562929696.6239917)
(7, '0.001001', 1562929696.6249924)
(8, '0.001000', 1562929696.6259928)
(9, '0.001001', 1562929696.6269937)
(10, '0.001001', 1562929696.6279945)
...

The measure2 results:

nr, td , t1, t0
(0, '0.000500', 1562929696.6294951, 1562929696.6289947)
(1, '0.000501', 1562929696.6299958, 1562929696.6294951)
(2, '0.000500', 1562929696.6304958, 1562929696.6299958)
(3, '0.000500', 1562929696.6309962, 1562929696.6304958)
(4, '0.000500', 1562929696.6314962, 1562929696.6309962)
(5, '0.000500', 1562929696.6319966, 1562929696.6314962)
(6, '0.000500', 1562929696.632497, 1562929696.6319966)
(7, '0.000500', 1562929696.6329975, 1562929696.632497)
(8, '0.000500', 1562929696.633498, 1562929696.6329975)
(9, '0.000500', 1562929696.6339984, 1562929696.633498)
(10, '0.000500', 1562929696.6344984, 1562929696.6339984)

End result:

Mean1 : 0.001001 # (measure1 function)

Mean2 : 0.000550 # (measure2 function)

Here is a python 3 solution for Windows building upon the answer posted above by CyberSnoopy (using GetSystemTimePreciseAsFileTime). We borrow some code from jfs

Python datetime.utcnow() returning incorrect datetime

and get a precise timestamp (Unix time) in microseconds

#! python3
import ctypes.wintypes

def utcnow_microseconds():
    system_time = ctypes.wintypes.FILETIME()
    #system call used by time.time()
    #ctypes.windll.kernel32.GetSystemTimeAsFileTime(ctypes.byref(system_time))
    #getting high precision:
    ctypes.windll.kernel32.GetSystemTimePreciseAsFileTime(ctypes.byref(system_time))
    large = (system_time.dwHighDateTime << 32) + system_time.dwLowDateTime
    return large // 10 - 11644473600000000

for ii in range(5):
    print(utcnow_microseconds()*1e-6)

References
https://docs.microsoft.com/en-us/windows/win32/sysinfo/time-functions
https://docs.microsoft.com/en-us/windows/win32/api/sysinfoapi/nf-sysinfoapi-getsystemtimepreciseasfiletime
https://support.microsoft.com/en-us/help/167296/how-to-convert-a-unix-time-t-to-a-win32-filetime-or-systemtime

I created a tiny C-Extension that uses GetSystemTimePreciseAsFileTime to provide an accurate timestamp on Windows: https://pypi.org/project/win-precise-time/

Usage:

>>> import win_precise_time
>>> win_precise_time.time()
1654539449.4548845

1. Python 3.7 or later

If using Python 3.7 or later, use the modern, cross-platform time module functions such as time.monotonic_ns(), here: https://docs.python.org/3/library/time.html#time.monotonic_ns. It provides nanosecond-resolution timestamps.

import time

time_ns = time.monotonic_ns()
# or on Unix or Linux you can also use:
time_ns = time.clock_gettime_ns()
# or on Windows:
time_ns = time.perf_counter_ns()

# etc. etc. There are others. See the link above.

From my other answer from 2016, here: How can I get millisecond and microsecond-resolution timestamps in Python?:

You might also try time.clock_gettime_ns() on Unix or Linux systems. Based on its name, it appears to call the underlying clock_gettime() C function which I use in my nanos() function in C in my answer here and in my C Unix/Linux library here: timinglib.c.

2. Python 3.3 or later

On Windows, in Python 3.3 or later, you can use time.perf_counter(), as shown by @ereOn here. See: https://docs.python.org/3/library/time.html#time.perf_counter. This provides roughly a 0.5us-resolution timestamp, in floating point seconds. Ex:

import time

# For Python 3.3 or later
time_sec = time.perf_counter()  # Windows only, I think
# or on Unix or Linux (I think only those)
time_sec = time.monotonic()

3. Pre-Python 3.3 (ex: Python 3.0, 3.1, 3.2), or later

Summary:

See my other answer from 2016 here for 0.5-us-resolution timestamps, or better, in Windows and Linux, and for versions of Python as old as 3.0, 3.2 or 3.2 even! We do this by calling C or C++ shared object libraries (.dll on Windows, or .so on Unix or Linux) using the ctypes module in Python.

I provide these functions:

millis()
micros()
delay()
delayMicroseconds()

Download GS_timing.py from my eRCaGuy_PyTime repo, then do:

import GS_timing

time_ms = GS_timing.millis()
time_us = GS_timing.micros()
GS_timing.delay(10)                # delay 10 ms
GS_timing.delayMicroseconds(10000) # delay 10000 us

Details:

In 2016, I was working in Python 3.0 or 3.1, on an embedded project on a Raspberry Pi, and which I tested and ran frequently on Windows also. I needed nanosecond resolution for some precise timing I was doing with ultrasonic sensors. The Python language at the time did not provide this resolution, and neither did any answer to this question, so I came up with this separate Q&A here: How can I get millisecond and microsecond-resolution timestamps in Python?. I stated in the question at the time:

I read other answers before asking this question, but they rely on the time module, which prior to Python 3.3 did NOT have any type of guaranteed resolution whatsoever. Its resolution is all over the place. The most upvoted answer here quotes a Windows resolution (using their answer) of 16 ms, which is 32000 times worse than my answer provided here (0.5 us resolution). Again, I needed 1 ms and 1 us (or similar) resolutions, not 16000 us resolution.

Zero, I repeat: zero answers here on 12 July 2016 had any resolution better than 16-ms for Windows in Python 3.1. So, I came up with this answer which has 0.5us or better resolution in pre-Python 3.3 in Windows and Linux. If you need something like that for an older version of Python, or if you just want to learn how to call C or C++ dynamic libraries in Python (.dll "dynamically linked library" files in Windows, or .so "shared object" library files in Unix or Linux) using the ctypes library, see my other answer here.

def start(self):
    sec_arg = 10.0
    cptr = 0
    time_start = time.time()
    time_init = time.time()
    while True:
        cptr += 1
        time_start = time.time()
        time.sleep(((time_init + (sec_arg * cptr)) - time_start ))

        # AND YOUR CODE .......
        t00 = threading.Thread(name='thread_request', target=self.send_request, args=([]))
        t00.start()