os.path.exists(sys.argv[1])): walktree(sys.argv[1], printfile) Python os模块的walk()函数,顾名思义,就是用来遍历目录树的,此函数可以很方便的遍历以输入的路径为root的所有子目录和其中的文件。 walk函数是一个Python生成器(generator),调用方式是在一个for...in...循环中,walk生成器每次返回的是一...
os.path.splitext 函数可以将文件的文件名与扩展名进行分离,并返回一个包含文件名与扩展名的二元元组。 得到了文件的扩展名,我们可以用 ‘in’ 来 判断该扩展名是否在需要删除的扩展名列表中: extension = os.path.splitext(r'aaa\bbb\ccc.ddd') extension_to_del = ['.aaa', '.bbb', '.ccc', '.ddd...
walk(directory_path): for file_name in files: # 示例:假设文件扩展名代表类别 extension = os.path.splitext(file_name)[1].lower() if extension == '.jpg' or extension == '.png': file_counts['images'] += 1 elif extension == '.mp4' or extension == '.avi': file_counts['videos']...
os.path.split('D:\\pythontest\\ostest\\Hello.py')#('D:\\pythontest\\ostest', 'Hello.py')os.path.split('.')#('', '.')os.path.split('D:\\pythontest\\ostest\\')#('D:\\pythontest\\ostest', '')os.path.split('D:\\pythontest\\ostest')#('D:\\pythontest', 'ostest'...
最后,我们使用os.remove()函数删除文件: defdelete_files(file_list):forfile_pathinfile_list:os.remove(file_path) 1. 2. 3. 4. 完整代码 下面是完整的代码: importosdeffind_files(dir_path,file_extension,file_list):forfile_nameinos.listdir(dir_path):file_path=os.path.join(dir_path,file_name...
(directory_path, filename)): file_extension = filename.split('.')[-1] destination_directory = os.path.join(directory_path, file_extension) if not os.path.exists(destination_directory): os.makedirs(destination_directory) move(os.path.join(directory_path, filename), os.path.join(destination_...
2.os模块中的path模块 1)跟文件路径相关 basename() 路径基名 dirname() 路径目录名 join() 整合文件名 split() 返回dirname(),basename()元组 splitext() 返回(filename,extension)元组 例: >>> dir1 =os.path.dirname('/etc/sysconfig/iptables-config') ...
The file name extension is '.cc'. REMOTE_IMAGE = { 'product-name': { 'S6700' : { 'path': '/image/software_file_name.cc', 'sha256': '', }, }, 'esn': {}, 'mac': {} } # File information of the configuration file on the file server. The file name extension is '.cfg'...
AVS Code Extensionis available to make your life even easier. Add--opento open the reports right after tracing viztracer --open my_script.py arg1 arg2 viztracer -o result.html --open my_script.py arg1 arg2 modules and console scripts(likeflask) are supported as well ...
df.to_excel(writer, sheet_name='Sheet_name_3') To set the library that is used to write the Excel file, you can pass the `engine` keyword (the default engine is automatically chosen depending on the file extension): >>> df1.to_excel('output1.xlsx', engine='xlsxwriter') # doctest...