search
HomeBackend DevelopmentPython Tutorial在Python中处理时间之clock()方法的使用

 clock()方法返回当前的处理器时间,以秒表示Unix上一个浮点数。精度取决于具有相同名称的C函数,但在任何情况下,这是使用于基准Python或定时的算法函数。

在Windows中该函数返回,因为这个函数的第一个调用过去挂钟秒钟,作为浮点数,基于Win32函数QueryPerformanceCounter。
语法

以下是clock()方法的语法:

time.clock()

参数

  •     NA

返回值

此方法返回当前处理器时间作为浮点数在UNIX秒钟,并在Windows中表示返回这个函数的第一个调用过去挂钟秒钟,作为浮点数。
例子

下面的例子显示了clock()方法的使用。

#!/usr/bin/python
import time

def procedure():
  time.sleep(2.5)

# measure process time
t0 = time.clock()
procedure()
print time.clock() - t0, "seconds process time"

# measure wall time
t0 = time.time()
procedure()
print time.time() - t0, "seconds wall time"

当我们运行上面的程序,它会产生以下结果:

0.0 seconds process time
2.50023603439 seconds wall time

注:并非所有的系统可以测量真实的处理时间。在这样的系统(包括Windows),因为该程序开始的时间。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
How are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

How does the homogenous nature of arrays affect performance?How does the homogenous nature of arrays affect performance?Apr 25, 2025 am 12:13 AM

The impact of homogeneity of arrays on performance is dual: 1) Homogeneity allows the compiler to optimize memory access and improve performance; 2) but limits type diversity, which may lead to inefficiency. In short, choosing the right data structure is crucial.

What are some best practices for writing executable Python scripts?What are some best practices for writing executable Python scripts?Apr 25, 2025 am 12:11 AM

TocraftexecutablePythonscripts,followthesebestpractices:1)Addashebangline(#!/usr/bin/envpython3)tomakethescriptexecutable.2)Setpermissionswithchmod xyour_script.py.3)Organizewithacleardocstringanduseifname=="__main__":formainfunctionality.4

How do NumPy arrays differ from the arrays created using the array module?How do NumPy arrays differ from the arrays created using the array module?Apr 24, 2025 pm 03:53 PM

NumPyarraysarebetterfornumericaloperationsandmulti-dimensionaldata,whilethearraymoduleissuitableforbasic,memory-efficientarrays.1)NumPyexcelsinperformanceandfunctionalityforlargedatasetsandcomplexoperations.2)Thearraymoduleismorememory-efficientandfa

How does the use of NumPy arrays compare to using the array module arrays in Python?How does the use of NumPy arrays compare to using the array module arrays in Python?Apr 24, 2025 pm 03:49 PM

NumPyarraysarebetterforheavynumericalcomputing,whilethearraymoduleismoresuitableformemory-constrainedprojectswithsimpledatatypes.1)NumPyarraysofferversatilityandperformanceforlargedatasetsandcomplexoperations.2)Thearraymoduleislightweightandmemory-ef

How does the ctypes module relate to arrays in Python?How does the ctypes module relate to arrays in Python?Apr 24, 2025 pm 03:45 PM

ctypesallowscreatingandmanipulatingC-stylearraysinPython.1)UsectypestointerfacewithClibrariesforperformance.2)CreateC-stylearraysfornumericalcomputations.3)PassarraystoCfunctionsforefficientoperations.However,becautiousofmemorymanagement,performanceo

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)