Python获取CPU使用率、内存使用率、网络使用状态

参考文章：http://blog.csdn.net/bubu8633/article/details/8258342

转自：http://blog.csdn.net/wst521/article/details/46831497

由于psutil已更新到3.0.1版本，最新的代码如下：

#!/usr/bin/env pythonimport osimport timeimport sysimport atexitimport psutil#print "Welcome,current system is",os.name," 3 seconds late start to get data"time.sleep(3)line_num = 1#function of Get cpu statedef getCPUstate(interval=1):    return (" CPU:"+str(psutil.cpu_percent(interval))+"%")def getMemorystate():    phymem = psutil.virtual_memory()    line = "Memory: %5s%% %6s/%s"%(            phymem.percent,            str(int(phymem.used/1024/1024))+"M",            str(int(phymem.total/1024/1024))+"M"            )    return linedef bytes2human(n):    """    >>>bytes2human(10000)    '9.8k'    >>>bytes2human(100001221)    '95.4M'    """    symbols = ('K','M','G','T','P','E','Z','Y')    prefix = {}    for i ,s in enumerate(symbols):        prefix[s] = 1 << (i+1)*10    for s in reversed(symbols):        if n >=prefix[s]:            value = float(n) / prefix[s]            return '%.2f %s'%(value,s)    return '%.2fB'%(n)def poll(interval):    """Retrieve raw stats within an interval window."""    tot_before = psutil.net_io_counters()    pnic_before = psutil.net_io_counters(pernic=True)    #sleep some time    time.sleep(interval)    tot_after = psutil.net_io_counters()    pnic_after = psutil.net_io_counters(pernic=True)    #get cpu stats    cpu_state = getCPUstate(interval)    #get memory    memory_state = getMemorystate()    return (tot_before,tot_after,pnic_before,pnic_after,cpu_state,memory_state)def refresh_window(tot_before,tot_after,pnic_before,pnic_after,cpu_state,memory_state):    """print stats on screen"""    #print current time,cpu state,memory    print (time.asctime() +" | "+cpu_state+" | "+            memory_state)    #total    print(" NetStates:")    print(" total bytes:  sent: %-10s received: %s"%(\        bytes2human(tot_after.bytes_sent), \        bytes2human(tot_after.bytes_recv)))    print( " total packets:  sent: %-10s received: %s"%(\        tot_after.packets_sent,\        tot_after.packets_recv))    # per-network interface details: let's sort network interfaces so        # that the ones which generated more traffic are shown first    print( " ")    nic_names = pnic_after.keys()    #nic_names.sort(key=lambda x: sum(pnic_after[x]), reverse=True)    for name in nic_names:        stats_before = pnic_before[name]        stats_after = pnic_after[name]        templ = "%-15s %15s %15s"            print(templ % (name, "TOTAL", "PER-SEC"))          print(templ % (            "bytes-sent",                bytes2human(stats_after.bytes_sent),              bytes2human(stats_after.bytes_sent - stats_before.bytes_sent) +            '/s',             ))        print(templ % (                "bytes-recv",                bytes2human(stats_after.bytes_recv),                bytes2human(stats_after.bytes_recv- stats_before.bytes_recv)            + '/s',                ))        print(templ % (             "pkts-sent",            stats_after.packets_sent,            stats_after.packets_sent - stats_before.packets_sent,            ))        print((templ %(            "pkts-recv",             stats_after.packets_recv,            stats_after.packets_recv - stats_before.packets_recv,            )))        print( " ")try:    interval = 0    while 1:        args = poll(interval)        refresh_window(*args)        interval = 1except (KeyboardInterrupt,SystemExit):    pass