memory_usage(proc=-1, interval=.1, timeout=None)returns the memory usage over a time interval. The first argument,procrepresents what should be monitored. This can either be the PID of a process (not necessarily a Python program), a string containing some python code to be evaluated or a...
importsysdefmonitor_memory_usage():# 创建一个列表对象,并输出其占用内存大小my_list=[1,2,3,4,5]print(f"my_list 占用内存大小:{sys.getsizeof(my_list)}字节")# 创建一个字符串对象,并输出其占用内存大小my_string="Hello, World!"print(f"my_string 占用内存大小:{sys.getsizeof(my_string)}字...
def monitor_memory(interval=5):while True:memory_info = psutil.virtual_memory() print(f"Memory Usage: {memory_info.percent}%") time.sleep(interval) # 每5秒打印一次内存使用情况 monitor_memory(5) ``` 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 5. 使用matplotlib绘制内存使用情况 为了更直观...
class MemoryMonitor: def __init__(self): self.keep_measuring = True def measure_usage(self): max_usage = 0 while self.keep_measuring: max_usage = max( max_usage, resource.getrusage(resource.RUSAGE_SELF).ru_maxrss ) sleep(0.1) return max_usage 在这个类的实例上调用measure_usage()时,它...
from memory_profiler import profile # Define a function to monitor its memory usage @profile def allocate_memory(n, count): strings = [] for i in range(count): # Create a large string large_string = "a" * (n * n) strings.append(large_string) print(f"String {i+1} of length {n...
def monitor_login(): while True: # 检测用户是否登录 # 这里用随机数模拟用户登录行为 login_status = bool(random.getrandbits(1)) if login_status: # 如果用户登录,则获取系统信息 cpu_usage = psutil.cpu_percent() memory_usage = psutil.virtual_memory().percent ...
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...
Monitor Memory usage of Python code. Contribute to lishiyong110/memory_profiler development by creating an account on GitHub.
def monitor_network(): while True: # 获取系统资源利用情况 disk_usage = psutil.disk_usage('/') cpu_usage = psutil.cpu_percent(interval=1) memory_usage = psutil.virtual_memory().percent # 测量网络速度 st = speedtest.Speedtest() download_speed = st.download() / 1024 / 1024 # 转换为 Mb...
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() AI代码助手复制代码 代码解释 resource.getrusage(resource.RUSAGE_SELF):获取当前进程的资源使用情况。