I am using Jupyter notebook, and I have a code which I will measure its performance using %%timeit -o after that I need to extract the measured values (time and error) and store each one of them in a separate variable, I tried to use res = _ which will return the full string
<TimeitResult : 248 ms ± 27.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)> after that I tried to parse it using regualr expression, with the following code:
timeitResult = res
errorPattern = '±(.*)ms'
measurePattern = ':(.*)s'
error_search = re.search(errorPattern, timeitResult , re.IGNORECASE)
if error_search:
error= error_search.group(1)
measure_search = re.search(measurePattern , timeitResult , re.IGNORECASE)
if measure_search :
measure = measure_search .group(1)
print(float(error), float(measure))
but the final result will be:
(27.7, 27.7)
which is only the error, and I am not even able to fetch the value of measure alone.
Any help would be really appreciated.
You don't have to parse the string to get the TimeitResult object
Just use the -o flag:
In [2]: %%timeit -o
...: x = 10
...:
...:
12.3 ns ± 2.05 ns per loop (mean ± std. dev. of 7 runs, 100000000 loops each)
Out[2]: <TimeitResult : 12.3 ns ± 2.05 ns per loop (mean ± std. dev. of 7 runs, 100000000 loops each)>
In [3]: _
Out[3]: <TimeitResult : 12.3 ns ± 2.05 ns per loop (mean ± std. dev. of 7 runs, 100000000 loops each)>
In [4]: result = _
In [5]: result.best
Out[5]: 1.0763427159999991e-08
In [7]: vars(result)
Out[7]:
{'loops': 100000000,
'repeat': 7,
'best': 1.0466937350001899e-08,
'worst': 1.0813086899997871e-08,
'all_runs': [1.0537269180003932,
1.081308689999787,
1.053099127999758,
1.0665047210000012,
1.04669373500019,
1.0689385099999527,
1.0753222759999517],
'compile_time': 0.00016100000000007775,
'_precision': 3,
'timings': [1.0537269180003931e-08,
1.0813086899997871e-08,
1.0530991279997579e-08,
1.0665047210000011e-08,
1.0466937350001899e-08,
1.0689385099999526e-08,
1.0753222759999516e-08]}
In [9]: result.average
Out[9]: 1.0636562825714333e-08
In [10]: result.stdev
Out[10]: 1.1841164471696355e-10