date = [] rate = [] cpu_total = 0 #us = us+ni, sy = sy + irq + sirq for item in items: float_item = float(item.split(" ")[3]) cpu_total += float_item if item == items[0]: date.append(float(item.split(" ")[3]) + float(items[1].split(" ")[3])) elif item == item[2]: date.append(float(item.split(" ")[3] + items[5].split(" ")[3] + items[6].split(" ")[3])) else: date.append(float_item)
#calculate cpu usage percentage for item in date: rate.append((item/cpu_total)*100)
mean = ["%us","%ni","%sy","%id","%wa","%cpu_irq","%cpu_sIRQ"]
#calculate cpu usage percentage result = map(None,rate,mean) return result
if __name__ == "__main__": hosts = ["192.168.10.1","192.168.10.2"] for host in hosts: print "==========" + host + "==========" result = getDate(host) print "Cpu(s)", #print result for i in range(5): print " %.2f%s" % (result[i][0],result[i][1]), print print《Python核心编程 第二版》.(Wesley J. Chun ).[高清PDF中文版] http://www.linuxidc.com/Linux/2013-06/85425.htm《Python开发技术详解》.( 周伟,宗杰).[高清PDF扫描版+随书视频+代码] http://www.linuxidc.com/Linux/2013-11/92693.htmPython脚本获取Linux系统信息 http://www.linuxidc.com/Linux/2013-08/88531.htm在Ubuntu下用Python搭建桌面算法交易研究环境 http://www.linuxidc.com/Linux/2013-11/92534.htmPython 的详细介绍:请点这里 Python 的下载地址:请点这里本文永久更新链接地址:http://www.linuxidc.com/Linux/2014-09/107000.htm