Possible Duplicate:
Python: Time a code segment for testing performance (with timeit)
In C++, you can time blocks of code fairly easily, see code below. Is there any way to do this python? (easily) Thanks!
time_t startTime = clock();
// Do stuff
time_t endTime = clock();
cout << "Difference in time(milliseconds) : " << endTime - startTime << endl;
Word-for-word translation of your code
import datetime
start = datetime.datetime.now()
// do stuff
finish = datetime.datetime.now()
print(finish-start)
Try using the profilers available in the standard library.
Below is an example how to profile a script using cProfile from a command line. cProfile is one of the profilers available in all Python distributions.
$ python -m cProfile euler048.py
1007 function calls in 0.061 CPU seconds
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.061 0.061 <string>:1(<module>)
1000 0.051 0.000 0.051 0.000 euler048.py:2(<lambda>)
1 0.005 0.005 0.061 0.061 euler048.py:2(<module>)
1 0.000 0.000 0.061 0.061 {execfile}
1 0.002 0.002 0.053 0.053 {map}
1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler objects}
1 0.000 0.000 0.000 0.000 {range}
1 0.003 0.003 0.003 0.003 {sum}
You may wish to checkout the timeit module, it is extremely handy for timing small snippets of code.
Typical example:
from timeit import Timer
def foo():
# some code here
t1 = Timer("""foo()""", """from __main__ import foo""")
print t1.timeit(1000) # runs foo() 1000 times and returns the time taken
I'd break the section you want to time into a function and put a timing decorator around it that times the code.
This saves on code duplication and has he added benefit that you can store/log the function name and args with the timing stats.
