Why does %timeit loop different number of times?
%timeit library will limit the number of runs depending on how long the script takes to execute.
The number of runs may be set with -n. Example:
%timeit -n 5000df = pd.DataFrame({'High':[1,4,8,4,0]})5000 loops, best of 3: 592 µs per loop
use -r to limit the number of run's:
import time%timeit -r1 time.sleep(2)# 2 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)%timeit -r4 time.sleep(2)# 2 s ± 800 µs per loop (mean ± std. dev. of 4 runs, 1 loop each)%timeit time.sleep(2)# 2 s ± 46.5 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)