Profiler utility for python, graphical and textual, whole program or segments
Project description
Profiler utility for python
install
pip install pyprofiler
profile code in source
profiler = start_profile()
meth1()
meth2()
meth3()
meth4()
end_profile(profiler)
# sample
python run_graph_main.py
$ total time
42 function calls (39 primitive calls) in 2.018 seconds
Ordered by: internal time
List reduced from 22 to 20 due to restriction <20>
ncalls tottime percall cumtime percall filename:lineno(function)
8 2.016 0.252 2.016 0.252 {time.sleep}
1 0.001 0.001 0.002 0.002 pyprofiler.py:16(end_profile)
1 0.000 0.000 0.000 0.000 functools.py:2(<module>)
1 0.000 0.000 0.001 0.001 pstats.py:1(<module>)
2 0.000 0.000 0.504 0.252 main_profile.py:32(meth2)
2 0.000 0.000 0.205 0.103 main_profile.py:22(meth1)
2 0.000 0.000 0.908 0.454 main_profile.py:42(meth3)
8/5 0.000 0.000 0.604 0.121 main_profile.py:10(call_next)
2 0.000 0.000 1.406 0.703 main_profile.py:52(meth4)
1 0.000 0.000 1.006 1.006 main_profile.py:62(aggregate)
graphical representation, needs and graphviz
# requirements
pip install gprof2dot
brew install graphviz
# sample program
python main_graph.py
from pyprofiler import graph_profile_program
graph_profile_program("main_graph.py")
callgraph, needs wxpython and runsnakerun
# requirements
brew install wxPython
pip install runsnakerun
# sample
python run_graph_main.py
#implementation, call method aggregate
runsnake_profile_method("aggregate", globals(), locals())
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