Accurate timing of functions in python

Use the timeit module from the Python standard library.

Basic usage:

from timeit import Timer# first argument is the code to be run, the second "setup" argument is only run once,# and it not included in the execution time.t = Timer("""x.index(123)""", setup="""x = range(1000)""")print t.timeit() # prints float, for example 5.8254# ..or..print t.timeit(1000) # repeat 1000 times instead of the default 1million

Instead of writing your own profiling code, I suggest you check out the built-in Python profilers (profile or cProfile, depending on your needs): http://docs.python.org/library/profile.html

You can create a "timeme" decorator like so

import time                                                def timeme(method):    def wrapper(*args, **kw):        startTime = int(round(time.time() * 1000))        result = method(*args, **kw)        endTime = int(round(time.time() * 1000))        print(endTime - startTime,'ms')        return result    return wrapper@timemedef func1(a,b,c = 'c',sleep = 1):    time.sleep(sleep)    print(a,b,c)func1('a','b','c',0)func1('a','b','c',0.5)func1('a','b','c',0.6)func1('a','b','c',1)