importpsutilimportplatformdefget_cpu_info():cpu_info={}# 获取CPU的逻辑核心数cpu_info['逻辑核心数']=psutil.cpu_count(logical=True)# 获取CPU的物理核心数cpu_info['物理核心数']=psutil.cpu_count(logical=False)# 获取CPU频率cpu_freq=psutil.cpu_freq()cpu_info['CPU频率 (MHz)']=f"{cpu_freq....
# 导入 psutil 库importpsutildefget_cpu_info():# 获取 CPU 的逻辑处理器数量logical_cpus=psutil.cpu_count()print(f"逻辑处理器数量:{logical_cpus}")# 获取 CPU 的物理核心数量physical_cpus=psutil.cpu_count(logical=False)print(f"物理核心数量:{physical_cpus}")# 获取 CPU 的当前使用率cpu_usage=ps...
cpu_info = self.get_cpuinfo() # 获取cpu print('cpu_info:', cpu_info) cpu_info['id'] = id cpu_info['hour'] = datetime.datetime.now().hour cpu_info['minute'] = datetime.datetime.now().minute cpu_info['second'] = datetime.datetime.now().second cpu_data.append(cpu_info) # sle...
"user":round((cpu_info_list[0]/cpu_all_time)*100,2), "nice":round((cpu_info_list[1]/cpu_all_time)*100,2), "system":round((cpu_info_list[2]/cpu_all_time)*100,2), "idle":round((cpu_info_list[3]/cpu_all_time)*100,2), "iowait":round((cpu_info_list[4]/cpu_all_tim...
cpu_info = cpuinfo.get_cpu_info()returncpu_infoprint(get_detailed_cpu_info()) 使用netifaces库获取网络接口信息: 首先安装 netifaces 库: pip install netifaces 然后使用以下代码获取网络接口信息: importnetifacesasnidefget_network_interfaces(): ...
import os import psutil import time import multiprocessing def get_pid_memory(pid): """ 根据进程号来获取进程的内存大小 :param pid: 进程id :return: pid内存大小/MB """ process = psutil.Process(pid) mem_info = process.memory_info() return mem_info.rss / 1024 / 1024 def get_process_memo...
Python中的psutil模块可以获取系统的基础信息。下面我们看一下如何用这个模块获取cpu和内存的相关信息 工具/原料 电脑 Python开发工具 psutil模块 方法/步骤 1 用import 命令获取导入模块，代码为:import psutil 2 用def命令建立获取cpu信息的函数，具体代码为：def get_cpu_info():3 在函数功能中，直接调用psutil模块...
Size)/1024/1024/1024) + "G" def get_cpu_info(os): """ 获取CPU信息。 """ print print "cpu_info:" if os == "Windows": tmpdict = {} tmpdict["CpuCores"] = 0 c = wmi.WMI () for cpu in c.Win32_Processor(): tmpdict["CpuType"] = cpu.Name try: tmpdict["CpuCores"] =...
D:\Program Files\PyInstaller-3.2\get_cpu_info\dist>get_cpu_info.exelogical_cores:2physical_cores:2hyper threading:disable 可以看到,不需要使用Python也可以直接运行。将该可执行文件拷贝到其他Windows7 64位机器也可以直接运行,即使没有安装Python也没问题。
if__name__=='__main__':fromcpuinfoimportget_cpu_infoforkey,valueinget_cpu_info().items():print("{0}: {1}".format(key,value)) API '''Returns the CPU info by using the best sources of information for your OS.Returns the result in a dict'''get_cpu_info()'''Returns the CPU ...