Linux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:
top -bi > cpuHistory.log
或
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,*_*):
#! /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:
#! /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:
$ ./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。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Although Notepad cannot run Java code directly, it can be achieved by using other tools: using the command line compiler (javac) to generate a bytecode file (filename.class). Use the Java interpreter (java) to interpret bytecode, execute the code, and output the result.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

The five basic components of the Linux system are: 1. Kernel, 2. System library, 3. System utilities, 4. Graphical user interface, 5. Applications. The kernel manages hardware resources, the system library provides precompiled functions, system utilities are used for system management, the GUI provides visual interaction, and applications use these components to implement functions.

To view the Git repository address, perform the following steps: 1. Open the command line and navigate to the repository directory; 2. Run the "git remote -v" command; 3. View the repository name in the output and its corresponding address.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.
