Profiling Your Python Code
Ngalim Siregar
Posted on January 5, 2022
Sometimes you want to profile just a single function in your Python program. To profile single function on Python program, we can use cProfile to profile single function
def create_array():
arr=[]
for i in range(0,400000):
arr.append(i)
def print_statement():
print('Array created successfully')
def main():
create_array()
print_statement()
if __name__ == '__main__':
import cProfile, pstats
profiler = cProfile.Profile()
profiler.enable()
main()
profiler.disable()
stats = pstats.Stats(profiler).sort_stats('ncalls')
stats.print_stats()
That will profile method create_array and print_statement. By using pprofiler library we can simplify those step to single decorator call
from pprofiler import pprof
...
@pprof()
def main():
create_array()
print_statement()
if __name__ == '__main__':
main()
By default pprofiler will sort by ncalls, we can use other sorting key by define it.
from pprofiler import pprof
...
@pprof(sort_by='time')
def main():
create_array()
print_statement()
if __name__ == '__main__':
main()
💖 💪 🙅 🚩
Ngalim Siregar
Posted on January 5, 2022
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