本文实例讲述了PHP统计目录中文件以及目录中目录大小的方法。分享给大家供大家参考,具体如下:
<?php //循环遍历目录中所有的文件,并统计目录和文件的大小 $dirName="phpMyAdmin"; $dir=opendir($dirName); //返回一个资源类型 while($fileName=readdir($dir)){ $file=$dirName."/".$fileName; if($fileName!="." && $fileName!=".."){ if(is_dir($file)){ echo "<font color='red'>".$fileName."===".date("Y-m-d H:i:s",filectime($file))."==".filetype($file)."==".toSize(dirSize($file))."</font><br/>"; } else{ echo "<font color='green'>".$fileName."=====".date("Y-m-d H:i:s",filectime($file))."====".filetype($file)."====".toSize(filesize($file))."</font><br/>"; } } } closedir($dir); //把文件或目录的大小转化为容易读的方式 function toSize($size){ $dw; //指定文件或目录统计的单位方式 if($size>pow(2,30)){ $dw="GB"; $size=round($size/pow(2,30),2); } else if($size>pow(2,20)){ $dw="MB"; $size=round($size/pow(2,20),2); } else if($size>pow(2,10)){ $dw="KB"; $size=round($size/pow(2,10),2); } else { $dw="bytes"; } return $size.$dw; } //利用递归的方式统计目录的大小 function dirSize($dirName){ $dirsize=0; $dir=opendir($dirName); while($fileName=readdir($dir)){ $file=$dirName."/".$fileName; if($fileName!="." && $fileName!=".."){ //一定要进行判断,否则会出现错误的 if(is_dir($file)){ $dirsize+=dirSize($file); } else{ $dirsize+=filesize($file); } } } closedir($dir); return $dirsize; } ?>
更多关于PHP文件与目录操作相关内容感兴趣的读者可查看本站专题:《php文件操作总结》与《PHP目录操作技巧汇总》
希望本文所述对大家PHP程序设计有所帮助。

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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