Python performance analysis tool -cProfile cProfile - Python performance analysis tool

cProfile - Python performance analysis tool

Excerpt: https://www.cnblogs.com/kaituorensheng/p/4453953.html

 

Python module comes with several performance analysis: profile, cProfile and hotshot, use basically the same, nothing more than pure module is written in C or Python. This article describes cProfile.

 example

import time
def func1():
    sum = 0
    for i in range(1000000):
        sum += i
def func2():
    time.sleep(10)

func1()
func2()

run

python -m cProfile del.py

operation result

The results of analysis
    performed six functions, spent a total of 10.138s, run by pressing the function name to sort the output results.

Run the script

python -m cProfile -o del.out del.py

In this module directly stored profile result, the output may be further analyzed, running

python -c "import pstats; p=pstats.Stats('del.out'); p.print_stats()"

The results (random)

You can set sort, such as how much to spend time sorting

python -c "import pstats; p=pstats.Stats('del.out'); p.sort_stats('time').print_stats()"

sort_stats supports the following parameters:

1	calls, cumulative, file, line, module, name, nfl, pcalls, stdname, time

 

pstats module also supports interactive

Python module comes with several performance analysis: profile, cProfile and hotshot, use basically the same, nothing more than pure module is written in C or Python. This article describes cProfile.

 example

import time
def func1():
    sum = 0
    for i in range(1000000):
        sum += i
def func2():
    time.sleep(10)

func1()
func2()

run

python -m cProfile del.py

operation result

The results of analysis
    performed six functions, spent a total of 10.138s, run by pressing the function name to sort the output results.

Run the script

python -m cProfile -o del.out del.py

In this module directly stored profile result, the output may be further analyzed, running

python -c "import pstats; p=pstats.Stats('del.out'); p.print_stats()"

The results (random)

You can set sort, such as how much to spend time sorting

python -c "import pstats; p=pstats.Stats('del.out'); p.sort_stats('time').print_stats()"

sort_stats supports the following parameters:

1	calls, cumulative, file, line, module, name, nfl, pcalls, stdname, time

 

pstats module also supports interactive