search
HomeBackend DevelopmentPython TutorialLinux下使用python调用top命令获得CPU利用率

本文定位:想通过python调用top命令获取cpu使用率但暂时没有思路的情况。
如果单纯为了获得cpu的利用率,通过top命令重定向可以轻松实现,命令如下:

复制代码 代码如下:

top -bi > cpuHistory.log


复制代码 代码如下:

top -bi | tee  cpuHistory.log

这个就不解释了,不懂的朋友查询下top的帮助文档。这里要实现的是通过python调用top命令,并获得cpu的利用率信息。
用过popen的朋友很快就能想到类似如下的代码(这个是我第一次写的代码,*_*):

复制代码 代码如下:

#! /usr/bin/python

import os,time

time2sleep = 1.5
while True:
        print os.popen('top -bi -n 1').read().split('\n')[2]
        time.sleep(time2sleep)

原理看起来没错,可是跑起来就出问题了:cpu的idle值一直不变!!!
原因在于执行的命令“top -bi -n 1”:单独执行这个命令,你会发现输出结果中cpu的idle值就是一直不变的。
所以不能这样写……
在终端执行“top -bi -n 2”命令,你会发现第二个值每次都在变化,这个就是我们想要结果。
考虑到时间问题,命令这样写会更好:“top -bi -n 2 -d 0.02”
代码如下:

复制代码 代码如下:

#! /usr/bin/python
'''
   File      : cpuRate.py
   Author    : Mike
   E-Mail    : Mike_Zhang@live.com
 '''
import os,time

time2sleep = 2.5
while True:
        print int(time.time()),
        print os.popen('top -bi -n 2 -d 0.02').read().split('\n\n\n')[1].split('\n')[2]
        time.sleep(time2sleep)

执行效果如下:

复制代码 代码如下:

$ ./cpuRate.py
1328109437 Cpu(s): 10.0%us, 20.0%sy,  0.0%ni, 70.0%id,  0.0%wa,  0.0%hi,  0.0%si,  0.0%st
1328109441 Cpu(s):  0.0%us, 16.7%sy,  0.0%ni, 83.3%id,  0.0%wa,  0.0%hi,  0.0%si,  0.0%st
1328109444 Cpu(s):  0.0%us, 16.7%sy,  0.0%ni, 83.3%id,  0.0%wa,  0.0%hi,  0.0%si,  0.0%st
1328109447 Cpu(s): 12.5%us, 12.5%sy,  0.0%ni, 75.0%id,  0.0%wa,  0.0%hi,  0.0%si,  0.0%st

好,就这些了,希望对你有帮助。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are some common operations that can be performed on Python arrays?What are some common operations that can be performed on Python arrays?Apr 26, 2025 am 12:22 AM

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

In what types of applications are NumPy arrays commonly used?In what types of applications are NumPy arrays commonly used?Apr 26, 2025 am 12:13 AM

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

When would you choose to use an array over a list in Python?When would you choose to use an array over a list in Python?Apr 26, 2025 am 12:12 AM

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

Are all list operations supported by arrays, and vice versa? Why or why not?Are all list operations supported by arrays, and vice versa? Why or why not?Apr 26, 2025 am 12:05 AM

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

How do you access elements in a Python list?How do you access elements in a Python list?Apr 26, 2025 am 12:03 AM

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

How are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools