Python计算函数运行时间的几种方法

import time
<p>def my_function():</p><h1>模拟一些操作</h1><pre class="brush:python;toolbar:false;">sum(i for i in range(100000))

start = time.time() my_function() end = time.time()

print(f"函数运行时间: {end - start:.4f} 秒")

import timeit
<p>def my_function():
sum(i for i in range(100000))</p><h1>单次运行时间</h1><p>time_taken = timeit.timeit(my_function, number=1000)
print(f"运行 1000 次平均耗时: {time_taken:.6f} 秒")</p>

import time
from functools import wraps
<p>def timer(func):
@wraps(func)
def wrapper(*args, *<em>kwargs):
start = time.time()
result = func(</em>args, **kwargs)
end = time.time()
print(f"{func.<strong>name</strong>} 执行耗时: {end - start:.4f} 秒")
return result
return wrapper</p><p>@timer
def my_function():
sum(i for i in range(100000))</p><p>my_function()  # 输出函数执行时间</p>