python性能分析工具line_profiler的简单使用

一、前言

　　在我们在使用python进行编码的时候，写出高质量性能好的代码是一个比较好的习惯，line_profiler可很好的帮助我们

二、安装

　　1、下载

　　下载地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/#line_profiler

　　下载想要安装的版本,比如，我这里的python版本是3.7x的，下载的whl就是对应的cp37的

 　　2、使用pip安装

　　　　格式：pip install XXX.whl

　　3、执行结果

(CloudStorage) D:\learn\IOT\CloudStorage>pip install C:\Users\durant.zeng\Desktop\2.8.0\line_profiler-3.1.0-cp37-cp37m-win_amd64.whl
Processing c:\users\durant.zeng\desktop\2.8.0\line_profiler-3.1.0-cp37-cp37m-win_amd64.whl
Collecting IPython (from line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/c9/b1/82cbe2b856386f44f37fdae54d9b425813bd86fe33385c9d658d64826098/ipython-7.22.0-py3-none-any.whl (78
5kB)
    100% |████████████████████████████████| 788kB 389kB/s
Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/eb/e6/4b4ca4fa94462d4560ba2f4e62e62108ab07be2e16a92e594e43b12d3300/prompt_toolkit-3.0.18-py3-none-any.
whl (367kB)
    100% |████████████████████████████████| 368kB 367kB/s
Collecting decorator (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/ed/1b/72a1821152d07cf1d8b6fce298aeb06a7eb90f4d6d41acec9861e7cc6df0/decorator-4.4.2-py2.py3-none-any.wh
l
Collecting pygments (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/3a/80/a52c0a7c5939737c6dca75a831e89658ecb6f590fb7752ac777d221937b9/Pygments-2.8.1-py3-none-any.whl (98
3kB)
    100% |████████████████████████████████| 993kB 420kB/s
Requirement already satisfied: colorama; sys_platform == "win32" in d:\python3.7.2\lib\site-packages (from IPython->line-profiler==3.1.0) (0.4.4)
Requirement already satisfied: setuptools>=18.5 in d:\python3.7.2\lib\site-packages (from IPython->line-profiler==3.1.0) (40.6.2)
Collecting backcall (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/4c/1c/ff6546b6c12603d8dd1070aa3c3d273ad4c07f5771689a7b69a550e8c951/backcall-0.2.0-py2.py3-none-any.whl

Collecting jedi>=0.16 (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/f9/36/7aa67ae2663025b49e8426ead0bad983fee1b73f472536e9790655da0277/jedi-0.18.0-py2.py3-none-any.whl (1
.4MB)
    100% |████████████████████████████████| 1.4MB 445kB/s
Collecting pickleshare (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/9a/41/220f49aaea88bc6fa6cba8d05ecf24676326156c23b991e80b3f2fc24c77/pickleshare-0.7.5-py2.py3-none-any.
whl
Collecting traitlets>=4.2 (from IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/f6/7d/3ecb0ebd0ce8dcdfa7bd47ab85c1d4a521e6770ef283d0824f5804994dfe/traitlets-5.0.5-py3-none-any.whl (1
00kB)
    100% |████████████████████████████████| 102kB 373kB/s
Collecting wcwidth (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/59/7c/e39aca596badaf1b78e8f547c807b04dae603a433d3e7a7e04d67f2ef3e5/wcwidth-0.2.5-py2.py3-none-any.whl
Collecting parso<0.9.0,>=0.8.0 (from jedi>=0.16->IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/ad/f0/ef6bdb1eba2dbfda60c985cd8d7b47b6ed8c6a1f5d212f39ff50b64f172c/parso-0.8.1-py2.py3-none-any.whl (9
3kB)
    100% |████████████████████████████████| 102kB 397kB/s
Collecting ipython-genutils (from traitlets>=4.2->IPython->line-profiler==3.1.0)
  Downloading https://files.pythonhosted.org/packages/fa/bc/9bd3b5c2b4774d5f33b2d544f1460be9df7df2fe42f352135381c347c69a/ipython_genutils-0.2.0-py2.py3-none
-any.whl
Installing collected packages: wcwidth, prompt-toolkit, decorator, pygments, backcall, parso, jedi, pickleshare, ipython-genutils, traitlets, IPython, line-
profiler
Successfully installed IPython-7.22.0 backcall-0.2.0 decorator-4.4.2 ipython-genutils-0.2.0 jedi-0.18.0 line-profiler-3.1.0 parso-0.8.1 pickleshare-0.7.5 pr
ompt-toolkit-3.0.18 pygments-2.8.1 traitlets-5.0.5 wcwidth-0.2.5

　　4、验证是否安装ok

　　　import line_profiler,无报错

(CloudStorage) D:\learn\IOT\CloudStorage>python
Python 3.7.2 (tags/v3.7.2:9a3ffc0492, Dec 23 2018, 23:09:28) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>>
>>>
>>> import line_profiler
>>>

 三、简单使用

　　测试案例

#!/usr/bin/python3
# -*- coding: UTF-8 -*-
"""
@author:durant.zeng
@Description:描述
@file:yy.py
@time:2021/03/30
"""
import sys
import time
import line_profiler

@line_profiler
def test():
    li = []
    li_3 = []
    li_x = []
    for i in range(1000):
        if i % 2 == 0:
            li.append(i)
        elif i % 3 == 0:
            li_3.append(i)
            time.sleep(0.1)

        elif i % 5 == 0:
            x = i * [i for i in range(1000000)][1000]
            li_x.append(x)
            print(li_x)

        elif (i % 3 in [i for i in range(300000)]) or (i in [i for i in range(100000)]):
            print(i)
            print('--end--')

profile = line_profiler.LineProfiler(test)  # 把函数传递到性能分析器
profile.enable()  # 开始分析
test()
profile.disable()  # 停止分析
profile.print_stats(sys.stdout)  # 打印出性能分析结果

　　执行结果：

Total time: 44.4552 s
File: D:/learn/IOT/CloudStorage/test/yy.py
Function: test at line 14

Line #      Hits         Time  Per Hit   % Time  Line Contents
==============================================================
    14                                           def test():
    15         1          5.0      5.0      0.0      li = []
    16         1          2.0      2.0      0.0      li_3 = []
    17         1          2.0      2.0      0.0      li_x = []
    18      1001      13184.0     13.2      0.0      for i in range(1000):
    19      1000       9276.0      9.3      0.0          if i % 2 == 0:
    20       500       7372.0     14.7      0.0              li.append(i)
    21       500       4638.0      9.3      0.0          elif i % 3 == 0:
    22       167        566.0      3.4      0.0              li_3.append(i)
    23       167   52138310.0 312205.4     37.6              time.sleep(0.1)
    24                                           
    25       333       2463.0      7.4      0.0          elif i % 5 == 0:
    26        67   35984802.0 537086.6     26.0              x = i * [i for i in range(1000000)][1000]
    27        67       1090.0     16.3      0.0              li_x.append(x)
    28        67      11033.0    164.7      0.0              print(li_x)
    29                                           
    30       266   50385155.0 189417.9     36.4          elif (i % 3 in [i for i in range(300000)]) or (i in [i for i in range(100000)]):
    31       266      37276.0    140.1      0.0              print(i)
    32       266       6726.0     25.3      0.0              print('--end--')

• Total Time：测试代码的总运行时间
• Line:代码行号
• Hits：表示每行代码运行的次数
• Time：每行代码运行的总时间
• Per Hits：每行代码运行一次的时间
• % Time：每行代码运行时间的百分比
• 从分析结果可以看出：第23行代码运行时间最长

 

参考博客：https://blog.csdn.net/craftsman2020/article/details/109523731