Lov*_*ell 14 python profiling analysis pstats
我基本上做了以下事情:
import cProfile, pstats, StringIO
pr = cProfile.Profile()
pr.enable()
# ... my code did something ...
pr.disable()
s = StringIO.StringIO()
sortby = 'cumulative'
ps = pstats.Stats(pr, stream=s).sort_stats(sortby)
ps.dump_stats('stats.dmp') # dump the stats to a file named stats.dmp
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所以现在我将名为'stats.dmp'的文件存储在离线状态.
如何使用pstats分析此文件供人类使用?
提前致谢.
Lov*_*ell 18
这是我发现的和我生成的Python程序.我使用在linux上制作的.dmp文件测试了这个并在windows xp上进行了分析.它工作很精细.Python文件名为"analyze_dmp.py".
#!/usr/local/bin/python2.7
# -*- coding: UTF-8 -*-
"""analyze_dmp.py takes the file INFILEPATH [a pstats dump file] Producing OUTFILEPATH [a human readable python profile]
Usage: analyze_dmp.py INFILEPATH OUTFILEPATH
Example: analyze_dmp.py stats.dmp stats.log
"""
# --------------------------------------------------------------------------
# Copyright (c) 2019 Joe Dorocak (joeCodeswell at gmail dot com)
# Distributed under the MIT/X11 software license, see the accompanying
# file license.txt or http://www.opensource.org/licenses/mit-license.php.
# --------------------------------------------------------------------------
# I added the above License by request here are my research links
# https://meta.stackexchange.com/q/18883/311363
# https://meta.stackexchange.com/q/128840/311363
# https://codereview.stackexchange.com/q/10746
import sys, os
import cProfile, pstats, StringIO
def analyze_dmp(myinfilepath='stats.dmp', myoutfilepath='stats.log'):
out_stream = open(myoutfilepath, 'w')
ps = pstats.Stats(myinfilepath, stream=out_stream)
sortby = 'cumulative'
ps.strip_dirs().sort_stats(sortby).print_stats(.3) # plink around with this to get the results you need
NUM_ARGS = 2
def main():
args = sys.argv[1:]
if len(args) != NUM_ARGS or "-h" in args or "--help" in args:
print __doc__
s = raw_input('hit return to quit')
sys.exit(2)
analyze_dmp(myinfilepath=args[0], myoutfilepath=args[1])
if __name__ == '__main__':
main()
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nyb*_*bon 15
你可以试试snakeviz https://jiffyclub.github.io/snakeviz
它是一个基于浏览器的图形查看器,用于 Python 的 cProfile 模块的输出,也是使用标准库 pstats 模块的替代方案。
# to install it with pip
pip install snakeviz
# once installed, you can use snakeviz to view the file
snakeviz /path/to/your/dump/pstat/file
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这是您可以像上面一样转储的可视化 pstat 文件的示例图像。