So in Java, we can do How to measure time taken by a function to execute
But how is it done in python? To measure the time start and end time between lines of codes? Something that does this:
import some_time_library
starttime = some_time_library.some_module()
code_tobe_measured()
endtime = some_time_library.some_module()
time_taken = endtime - starttime
To measure time elapsed during program's execution, either use time. clock() or time. time() functions. The python docs state that this function should be used for benchmarking purposes.
1) Create a loop around whatneeds to be measured, that executes 10, 100, or 1000 times or more. Measure execution time to the nearest 10 msec. Then divide that time bythe number of times the loop executed. If the loop executed 1000 timesusing a 10 msec clock, you obtain a resolution of 10 µsec for theloop.
If you want to measure CPU time, can use time.process_time()
for Python 3.3 and above:
import time
start = time.process_time()
# your code here
print(time.process_time() - start)
First call turns the timer on, and second call tells you how many seconds have elapsed.
There is also a function time.clock()
, but it is deprecated since Python 3.3 and will be removed in Python 3.8.
There are better profiling tools like timeit
and profile
, however time.process_time() will measure the CPU time and this is what you're are asking about.
If you want to measure wall clock time instead, use time.time()
.
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