import timeit code_to_measure = """ # 在这里放置你要测量的代码 """ timer = timeit.Timer(stmt=code_to_measure) execution_time = timer.timeit(number=1000) # 执行代码1000次 print(f"代码执行平均时间：{execution_time / 1000} 秒")3.
importtime# 计算程序执行时间的装饰器defmeasure_time(func):defwrapper(*args,**kwargs):start_time=time.time()result=func(*args,**kwargs)end_time=time.time()execution_time=end_time-start_timeprint(f"执行时间:{execution_time}秒")returnresultreturnwrapper# 测试函数@measure_timedeftest_function()...
importtimeitcode_to_measure=""" # 在这里放置你要测量的代码 """timer=timeit.Timer(stmt=code_to_measure)execution_time=timer.timeit(number=1000)# 执行代码1000次print(f"代码执行平均时间:{execution_time / 1000} 秒") 1. 2. 3. 4. 5. 6. 7. 8. 9. 3. 使用 cProfile 模块进行性能分析 ...
原文链接：https://towardsdatascience.com/did-you-know-you-can-measure-the-execution-time-of-python-codes-14c3b422d438
原文链接:https://towardsdatascience.com/did-you-know-you-can-measure-the-execution-time-of-python-codes-14c3b422d438 欢迎关注磐创AI博客站: http://panchuang.net/ sklearn机器学习中文官方文档: http://sklearn123.com/ 欢迎关注磐创博客资源汇总站: ...
importtimeitdefmeasure_performance(function,num):time=timeit.timeit(lambda:function(num),number=100000)print(f"Execution time for{function.__name__}({num}):{time:.6f}s")num=1234567890measure_performance(get_integer_length1,num)measure_performance(get_integer_length2,num) ...
Write a Python function that executes a list of asynchronous tasks concurrently with asyncio.gather, then returns a list of results along with the total elapsed time. Write a Python program to implement a set of concurrent tasks with asyncio.gather(), measure the time taken for execution, and...
line_profiler在notebook的使用也超级方便,非常推荐。 %load_extline_profilerclassA:defto_profile_func():pass%lprun-fA.to_profile_funcA.to_profile_func() 参考链接 Difference between CPU time and wall time stackoverflow:How to measure elapsed time in Python? The Python Profilers...
The following example shows how to create a stateful context manager to measure the execution time of a given code block or function: Python # timing.py from time import perf_counter class Timer: def __enter__(self): self.start = perf_counter() self.end = 0.0 return lambda: self.end...
每个操作系统都有自己的方法来算程序运行的时间,比如在Windows PowerShell中,可以用 Measure-Command 来看一个Python文件的运行时间: 复制 Measure-Command {python tutorial.py} 1. 在Ubuntu中,使用time命令: 复制 time python tutorial.py 1. 如果我们除了看整个 Python 脚本的运行时间外还想看看局部运行时间咋整?