接下来,我们可以编写一个简单的Python脚本来查看程序的内存使用率: importpsutil# 获取当前进程的内存使用情况process=psutil.Process()memory_info=process.memory_info()memory_percent=process.memory_percent()print("Memory usage: ",memory_info)print("Memory percent: ",memory_percent) 1. 2. 3. 4. 5. ...
print(f"Virtual Memory Size (VMS) memory usage: {vms_memory_gb:.2f} GB")在这个示例中，我使...
return { 'rss': memory_info.rss, # 实际使用物理内存 'vms': memory_info.vms, # 分配的虚拟内存 } return None # 使用示例 process_name = "python3" memory_info = get_process_memory_psutil(process_name) if memory_info: print(f"{process_name} memory usage: RSS={memory_info['rss']} by...
"""Functions for getting memory usage of Windows processes."""__all__= ['get_current_process','get_memory_info','get_memory_usage']importctypesfromctypesimportwintypes GetCurrentProcess=ctypes.windll.kernel32.GetCurrentProcess GetCurrentProcess.argtypes=[] GetCurrentProcess.restype=wintypes.HANDLE...
importresourceimporttimedefmonitor_current_process_memory():whileTrue: mem_info = resource.getrusage(resource.RUSAGE_SELF)print(f"Memory usage:{mem_info.ru_maxrss /1024:.2f}MB") time.sleep(1)if__name__ =="__main__": monitor_current_process_memory() ...
第一种：CPU Usage: 0.0%importpsutil# 获取所有进程的列表forprocinpsutil.process_iter(['pid','...
在下面的示例中,我使用了:java.exepsutilfirefox.exeimport psutilfrom ctypes import *from ctypes.wintypes import *class PROCESSENTRY32W(Structure): _fields_ = [("dwSize", DWORD), ("cntUsage", DWORD),  ...
def memory_usage_psutil(): # return the memory usage in MB import psutil,os process = psutil.Process(os.getpid()) mem = process.memory_info()[0] / float(2 ** 20) return mem 发现进程的内存占用一直再上涨,而这从逻辑上来说是不正常的,所以想到程序可能发生了Memory Leak。 python程序的Mem ...
### Check object 'ob' size >>> sys.getsizeof(ob) / (1024 * 1024) 3072.0001373291016 ### Check current memory usage of whole process (include ob and installed packages, ...) >>> psutil.Process().memory_info().rss / (1024 * 1024) 323...
defmonitor_memory_usage():process=psutil.Process()memory_usage=process.memory_info().rss/1024/1024# 获取内存使用情况(MB)returnmemory_usageprint("Memory Usage:",monitor_memory_usage(),"MB") 并发和异步编程中的内存管理 线程安全的内存管理:在多线程环境中,需要注意内存管理的线程安全性,避免出现竞态条...