How to measure time taken between lines of code in python?
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
Solution 1:
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()
.
Solution 2:
You can also use time
library:
import time
start = time.time()
# your code
# end
print(f'Time: {time.time() - start}')
Solution 3:
With a help of a small convenience class, you can measure time spent in indented lines like this:
with CodeTimer():
line_to_measure()
another_line()
# etc...
Which will show the following after the indented line(s) finishes executing:
Code block took: x.xxx ms
UPDATE: You can now get the class with pip install linetimer
and then from linetimer import CodeTimer
. See this GitHub project.
The code for above class:
import timeit
class CodeTimer:
def __init__(self, name=None):
self.name = " '" + name + "'" if name else ''
def __enter__(self):
self.start = timeit.default_timer()
def __exit__(self, exc_type, exc_value, traceback):
self.took = (timeit.default_timer() - self.start) * 1000.0
print('Code block' + self.name + ' took: ' + str(self.took) + ' ms')
You could then name the code blocks you want to measure:
with CodeTimer('loop 1'):
for i in range(100000):
pass
with CodeTimer('loop 2'):
for i in range(100000):
pass
Code block 'loop 1' took: 4.991 ms
Code block 'loop 2' took: 3.666 ms
And nest them:
with CodeTimer('Outer'):
for i in range(100000):
pass
with CodeTimer('Inner'):
for i in range(100000):
pass
for i in range(100000):
pass
Code block 'Inner' took: 2.382 ms
Code block 'Outer' took: 10.466 ms
Regarding timeit.default_timer()
, it uses the best timer based on OS and Python version, see this answer.