1500字范文 > Python在Linux下获取CPU温度使用率内存使用率硬盘使用率

Python在Linux下获取CPU温度使用率内存使用率硬盘使用率

时间：2021-08-14 10:44:55

方法一：

psutil是一个跨平台库（/p/psutil/），能够轻松实现获取系统运行的进程和系统利用率（包括CPU、内存、磁盘、网络等）信息。它主要应用于系统监控，分析和限制系统资源及进程的管理。它实现了同等命令行工具提供的功能，如ps、top、lsof、netstat、ifconfig、who、df、kill、free、nice、ionice、iostat、iotop、uptime、pidof、tty、taskset、pmap等。目前支持32位和64位的Linux、Windows、OS X、FreeBSD和Sun Solaris等操作系统（参考/liu-yao/p/5678157.html）

root@h36:~# pythonPython 2.7.9 (default, Jun 29 , 13:08:31) [GCC 4.9.2] on linux2Type "help", "copyright", "credits" or "license" for more information.>>> import psutil>>> psutil.virtual_memory().percent#内存的占用率54.9>>> psutil.disk_partitions(all=False)#磁盘分区信息[sdiskpart(device='/dev/sda1', mountpoint='/', fstype='ext4', opts='rw,relatime,errors=remount-ro,data=ordered'), sdiskpart(device='/dev/sda7', mountpoint='/tmp', fstype='ext4', opts='rw,relatime,data=ordered'), sdiskpart(device='/dev/sda8', mountpoint='/home', fstype='ext4', opts='rw,relatime,data=ordered'), sdiskpart(device='/dev/sda5', mountpoint='/var', fstype='ext4', opts='rw,relatime,data=ordered')]>>> psutil.disk_usage("/").percent#磁盘sda1在"/"目录下的使用率30.7>>> psutil.cpu_percent(0)#本机cpu的总占用率0.6>>> psutil.cpu_percent(percpu=True) #每个CPU每核的使用率，我这里的虚拟机是双CPU双核[0.1, 0.2, 0.0, 0.0]>>> psutil.sensors_temperatures(){'coretemp': [shwtemp(label='Physical id 0', current=100.0, high=100.0, critical=100.0), shwtemp(label='Core 0', current=100.0, high=100.0, critical=100.0), shwtemp(label='Core 1', current=100.0, high=100.0, critical=100.0), shwtemp(label='Physical id 1', current=100.0, high=100.0, critical=100.0), shwtemp(label='Core 0', current=100.0, high=100.0, critical=100.0), shwtemp(label='Core 1', current=100.0, high=100.0, critical=100.0)]}

疑惑：在命令行中执行以上命令CPU使用率都正常，可是写入py脚本（print(psutil.cpu_percent(0))）文件后执行却不是0.0就是100.0，奇了怪了

解决：虽然在命令行中psutil.cpu_percent(0)能出正常结果，但是上面那个疑惑在脚本里还必须不能使用0，比如写成psutil.cpu_percent(1)才能解决上面的问题，这个参数是时间间隔多少秒获取CPU使用率。

注：在使用psutil模块时要注意版本大小，一开始我在Debian8.6下用apt-get install pustil直接装后咋也获取不了CPU温度，虽然按官方网站/pypi/psutil#downloads在命令行下执行psutil.sensors_temperatures()却报错，后来我才意识到了有可能是版本过低的问题，于是去下载了较新的psutil 5.4.2才解决了问题（也可以不去官网下载psutil 5.4.2tar包，应该用pip安装，它就会去自动下载最新了psutil版本了，挺省事的倒是。先执行apt-get install python-pip安装pip，用pip install psutil之前可能还需要重要的一步apt-get install python-dev，否则会报错：

psutil/_psutil_common.c:9:20: fatal error: Python.h: No such file or directory#include <Python.h>^

）

补充（代码来自/dgd/1868851）：Python获取网卡信息（名称、MAC、IP、网关等）

Python pypi库中一个模块名字叫“netifaces”，使用C语言写的一个第三方模块。可以：

1.获取本机的所有网关

2.获取本机所有的接口Interface（网卡NIC）

3.获取本机指定接口的详细信息，包括IP地址、子网掩码、广播地址、MAC地址等

#!/usr/bin/python# encoding: utf-8# -*- coding: utf8 -*-"""Created by PyCharm.File:LinuxBashShellScriptForOps:getNetworkStatus.pyUser:GuodongCreate Date: /11/2Create Time: 16:20show Windows or Linux network Nic status, such as MAC address, Gateway, IP address, etc"""import osimport systry:import netifacesexcept ImportError:try:command_to_execute = "pip install netifaces || easy_install netifaces"os.system(command_to_execute)except OSError:print "Can NOT install netifaces, Aborted!"sys.exit(1)import netifacesroutingGateway = netifaces.gateways()['default'][netifaces.AF_INET][0]routingNicName = netifaces.gateways()['default'][netifaces.AF_INET][1]for interface in netifaces.interfaces():if interface == routingNicName:# print netifaces.ifaddresses(interface)routingNicMacAddr = netifaces.ifaddresses(interface)[netifaces.AF_LINK][0]['addr']try:routingIPAddr = netifaces.ifaddresses(interface)[netifaces.AF_INET][0]['addr']# TODO(Guodong Ding) Note: On Windows, netmask maybe give a wrong result in 'netifaces' module.routingIPNetmask = netifaces.ifaddresses(interface)[netifaces.AF_INET][0]['netmask']except KeyError:passdisplay_format = '%-30s %-20s'print display_format % ("Routing Gateway:", routingGateway)print display_format % ("Routing NIC Name:", routingNicName)print display_format % ("Routing NIC MAC Address:", routingNicMacAddr)print display_format % ("Routing IP Address:", routingIPAddr)print display_format % ("Routing IP Netmask:", routingIPNetmask)

运行结果：

# python getNetworkStatus.py

Routing Gateway: 10.6.28.254

Routing NIC Name: eth0

Routing NIC MAC Address: 06:7f:12:00:00:15

Routing IP Address:10.6.28.28

Routing IP Netmask:255.255.255.0

获取ip还有种写法：

import socketimport fcntlimport structdef get_ip_address(ifname): s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) print socket.inet_ntoa(fcntl.ioctl(s.fileno(), 0x8915, struct.pack('256s', ifname[:15]))[20:24]) get_ip_address('lo')get_ip_address('eth0')

运行结果：

127.0.0.1

10.6.28.28

>>> import netifaces>>> netifaces.interfaces()[u'lo', u'eth0', u'eth1', u'eth2']>>> _io_counters(pernic=True){'lo': snetio(bytes_sent=141053, bytes_recv=141053, packets_sent=1411, packets_recv=1411, errin=0, errout=0, dropin=0, dropout=0), 'eth2': snetio(bytes_sent=74862, bytes_recv=16424, packets_sent=920, packets_recv=81, errin=0, errout=0, dropin=0, dropout=0), 'eth1': snetio(bytes_sent=126292, bytes_recv=34980, packets_sent=1515, packets_recv=174, errin=0, errout=0, dropin=0, dropout=0), 'eth0': snetio(bytes_sent=21560891, bytes_recv=1316735948, packets_sent=164194, packets_recv=1119225, errin=0, errout=0, dropin=0, dropout=0)}>>> print(netifaces.interfaces()[2])eth1>>> print(_io_counters(pernic=True)["lo"][0])141053

小综合：

#!/usr/bin/env python# -*- coding: utf-8 -*-import json, os, time, psutil, netifacesdef GetCPUorDiskTemper(type='Core'):dict_cpu_temp = {}if hasattr(psutil, "sensors_temperatures"):temps = psutil.sensors_temperatures()else:temps = {}cpu_each = []names = list(temps.keys())for name in names:if name in temps:for entry in temps[name]:if type in entry.label:dict_cpu_temp[entry.label] = entry.currentcpu_each.append(dict_cpu_temp[entry.label])cpu_top = sorted(dict_cpu_temp.items(),key=lambda d:d[0])[0][1]return {"cpu_top":cpu_top,"cpu_each":cpu_each}def GetCPUInfo():cpu_t = GetCPUorDiskTemper()["cpu_each"]cpu_num = int(os.popen("cat /proc/cpuinfo| grep 'physical id'| sort| uniq| wc -l").readline().strip())numb = os.popen("cat /proc/cpuinfo| grep 'cpu cores'| uniq").readline()cpucore_num = int(numb[12:-1])cpu_u = psutil.cpu_percent(percpu=True,interval=1)cpu = []cpu1 = {}list = {}y = 1z = 0data = []for i in range(0,len(cpu_u)):list = {"corename":"Core "+str(z),"cpu_u":cpu_u[i],"cpu_t":cpu_t[i]}z = z + 1data.append(list)if i+1 == cpucore_num*y:cpu1["data"] = datacpu1["cpuname"] = "cpu "+str(y-1)y = y + 1cpu.append(cpu1)cpu1 = {}data = []z = 0return cpudef GetNetwork():net = []for i in range(1,len(netifaces.interfaces())):netname = str(netifaces.interfaces()[i])bytes_sent = int(_io_counters(pernic=True)[netname][0])bytes_recv = int(_io_counters(pernic=True)[netname][1])eth_status = os.popen('sudo ethtool '+netname).readlines()[-1][16:-1]x = {"name":netname,"eth_status":eth_status,"bytes_sent":bytes_sent,"bytes_recv":bytes_recv}net.append(x)return nettotal = 0used = 0disk_partitions = psutil.disk_partitions(all=False)for i in range(0,len(disk_partitions)):partition = disk_partitions[i][1]total_each = psutil.disk_usage(partition)[0]total = total + total_eachused_each = psutil.disk_usage(partition)[1]used = used + used_eachdisk_u = used/float(total)*100cpu_u = psutil.cpu_percent(1)cpu_t = GetCPUorDiskTemper()["cpu_top"]memory_u = psutil.virtual_memory().percentboot_time = psutil.boot_time()runtime = os.popen('cat /proc/uptime').readlines()[0].split(" ")[0]data = {"a":{"disku":disk_u,"memu":memory_u,"cpuu":cpu_u,"cput":cpu_t,"boot_time":boot_time,\"runtime":runtime},"b":GetNetwork(),"c":GetCPUInfo()}print(data)

运行结果：

{'a': {'cput': 100.0, 'cpuu': 0.2, 'disku': 29.98913391327393, 'memu': 40.5, 'boot_time': 1514893852.0, 'runtime': '89424.57'}, 'c': [{'cpuname': 'cpu 0', 'data': [{'corename': 'Core 0', 'cpu_t': 100.0, 'cpu_u': 1.0}, {'corename': 'Core 1', 'cpu_t': 100.0, 'cpu_u': 0.0}]}, {'cpuname': 'cpu 1', 'data': [{'corename': 'Core 0', 'cpu_t': 100.0, 'cpu_u': 0.0}, {'corename': 'Core 1', 'cpu_t': 100.0, 'cpu_u': 0.0}]}], 'b': [{'eth_status': 'yes', 'bytes_sent': 404589707, 'name': 'eth0', 'bytes_recv': 25324}, {'eth_status': 'yes', 'bytes_sent': 71170, 'name': 'eth1', 'bytes_recv': 50232}, {'eth_status': 'yes', 'bytes_sent': 80868, 'name': 'eth2', 'bytes_recv': 48402}]}

方法二：（不建议使用，方法一完全就够用而且还好。而且算的结果还和方法一不一样，我感觉方法一更准确一些吧）

直接上代码：hui.py

#!/usr/bin/env python# -*- coding:utf-8 -*-import os, time, re, sensorslast_worktime=0last_idletime=0sensors.init()def get_mem_usage_percent():try:f = open('/proc/meminfo', 'r')for line in f:if line.startswith('MemTotal:'):mem_total = int(line.split()[1])elif line.startswith('MemFree:'):mem_free = int(line.split()[1])elif line.startswith('Buffers:'):mem_buffer = int(line.split()[1])elif line.startswith('Cached:'):mem_cache = int(line.split()[1])elif line.startswith('SwapTotal:'):vmem_total = int(line.split()[1])elif line.startswith('SwapFree:'):vmem_free = int(line.split()[1])else:continuef.close()except:return Nonephysical_percent = usage_percent(mem_total - (mem_free + mem_buffer + mem_cache), mem_total)virtual_percent = 0if vmem_total > 0:virtual_percent = usage_percent((vmem_total - vmem_free), vmem_total)return physical_percent, virtual_percentdef usage_percent(use, total):try:ret = (float(use) / total) * 100except ZeroDivisionError:raise Exception("ERROR - zero division error")return retdef disk_use():statvfs = os.statvfs('/')total_disk_space = statvfs.f_frsize * statvfs.f_blocksfree_disk_space = statvfs.f_frsize * statvfs.f_bfreedisk_usage = (total_disk_space - free_disk_space) * 100.0 / total_disk_space# disk_tip = "硬盘空间使用率："+str(disk_usage)+"%"# print(disk_tip)return disk_usagedef mem_use():mem_usage = get_mem_usage_percent()mem_usage = mem_usage[0]# mem_tip = "物理内存使用率："+str(mem_usage)+"%"# print(mem_tip)return mem_usagedef cpu_use():global last_worktime, last_idletimef=open("/proc/stat","r")line=""while not "cpu " in line: line=f.readline()f.close()spl=line.split(" ")worktime=int(spl[2])+int(spl[3])+int(spl[4])idletime=int(spl[5])dworktime=(worktime-last_worktime)didletime=(idletime-last_idletime)rate=float(dworktime)/(didletime+dworktime)cpu_t = rate*100last_worktime=worktimelast_idletime=idletimeif(last_worktime==0): return 0# cpu_tip = "CPU使用率："+str(cpu_t)+"%"# print(cpu_tip)return cpu_tdef cpu_temperature():for chip in sensors.ChipIterator("coretemp-*"):i = 0sum = 0for feature in sensors.FeatureIterator(chip):sfi = sensors.SubFeatureIterator(chip, feature)vals = [sensors.get_value(chip, sf.number) for sf in sfi]sum = sum + vals[0]i = i + 1# cpu_tmp = "CPU温度："+sum/i+"℃"# print(cpu_tmp)return sum/idisk = disk_use()print(disk)print(type(disk))mem = mem_use()print(mem)print(type(mem))cpua = cpu_use()print(cpua)print(type(cpua))cpub = cpu_temperature()print(cpub)print(type(cpub))sensors.cleanup()

注意：CPU使用率、内存使用率、硬盘使用率都还好说，但是CPU温度就比较麻烦一些了，得使用sensors来整，lm_sensors的软件可以帮助我们来监控主板、CPU的工作电压、风扇转速、温度等数据。这些数据我们通常在主板的BIOS也可以看到。当我们可以在机器运行的时候通过lm_sensors随时来监测着CPU的温度变化，可以预防呵保护因为CPU过热而会烧掉。如果你没有这个模块，使用apt-get install lm-sensors命令来安装即可（我这里使用的是Debian8.6 64位）。

还得和上面的同一目录下再来这么一个文件（/paroj/sensors.py/blob/master/sensors.py）

运行代码：python hui.py

32.1816127961

37.7943290638

0.251490181586

100.0

疑惑：网上还有一种计算CPU使用率的方法，那就是用top命令来获取

def cpu_use():

cpu_usage = str(os.popen("top -n1 | awk '/Cpu$s$:/ {print $2}'").readline().strip())

cpu_tip = "CPU使用率："+cpu_usage+"%"

print(cpu_tip)

但是和我上面的代码结果却不一样，用/proc/stat文件（/sCollege-188250.htm）来计算得到0.252413215089，而用top命令得到的却是0.1