本文實例講述了python統計cpu利用率的方法。分享給大家供大家參考。具體實現方法如下：
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 #-*-coding=utf-8-*- import win32pdh import time # Counter paths PROCESSOR_PERCENT = r'Processor(_Total)% Processor Time' MEMORY_PERCENT = r'Memory% Committed Bytes In Use' MEMORY_COMMITTED = r'MemoryCommitted Bytes' PROCESS_BYTES = lambda x: r'Process(%s)Private Bytes' % x class Query: def __init__(self): self.counters = {} self.query = None self.query = win32pdh.OpenQuery(None, 0) def add_counter(self, path): if win32pdh.ValidatePath(path) != 0: raise Exception('Invalid path: %s' % path) counter = win32pdh.AddCounter(self.query, path, 0) self.counters[path] = counter def remove_counter(self, path): win32pdh.RemoveCounter(self.counters[path]) del self.counters[path] def get_values(self): values = {} win32pdh.CollectQueryData(self.query) for path in self.counters: status, value = win32pdh.GetFormattedCounterValue( self.counters[path], win32pdh.PDH_FMT_LONG) values[path] = value return values sysinfo_query = Query() sysinfo_query.add_counter(PROCESSOR_PERCENT) sysinfo_query.add_counter(MEMORY_PERCENT) sysinfo_query.get_values() def get_sysinfo(): """Return a tuple (mem_usage, cpu_usage).""" info = sysinfo_query.get_values() return info[MEMORY_PERCENT], info[PROCESSOR_PERCENT] listcpu=[] while True: time.sleep(2) x,y=get_sysinfo() listcpu.append(y) if len(listcpu)==10: icount=0 for c in listcpu: if c>4: icount+=1 if icount>5: print "在統計的1分鐘內，cpu已經有5次大於4%" listcpu=[] print y希望本文所述對大家的Python程序設計有所幫助。
