def find_python_files(directory): python_files = [] for root, dirs, files in os.walk(directory): for file in files: if file.endswith(“.py”): python_files.append(os.path.join(root, file)) return python_files directory = “path/to/directory” # 要查找的根目录 python_files = find...
importosdeffind_files(directory):forroot,dirs,filesinos.walk(directory):forfileinfiles:print(os.path.join(root,file)) 1. 2. 3. 4. 5. 6. 上述代码定义了一个find_files()函数,它接受一个目录路径作为输入,并使用os.walk()函数遍历该目录及其子目录。在每次迭代中,我们可以通过root变量获取当前目录...
print(f"成功复制文件: {source_file_path} 到 {target_file_path}") except Exception as e: print(f"复制文件 {source_file_path} 时出错: {e}") # 示例用法 source_directory = 'your_source_directory' target_directory = 'your_target_directory' file_names_to_find = ['file1.txt', 'file2....
files = osqp.find_files(base_dir) # 打印文件列表 for file in files: print(file) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.
1importos,sys,pprint,time2deffind(pattern,directory):3found =[]#Store the result4pattern = pattern.lower()#Normalize to lowercase5#print(file_find)6for(thisdir,subsHere,filesHere)inos.walk(directory):7forfileinfilesHere + subsHere:#Search all the files and subdirect8ifpatterninfile.lower()...
你可以使用os模块中的walk函数来递归搜索文件系统中所有文件,然后使用fnmatch模块来匹配文件名。以下是一个示例代码: importosimportfnmatchdeffind_files(directory, pattern):forroot, dirs, filesinos.walk(directory):forfileinfiles:iffnmatch.fnmatch(file, pattern):print(os.path.join(root, file))# 指定要搜...
parser.add_argument("source",help="Source file") parser.add_argument("dest",help="Destination directory or file") parser.add_argument("--timezone",help="Timezone of the file's timestamp", choices=['EST5EDT','CST6CDT','MST7MDT','PST8PDT'], ...
cookie_str=r'JSESSIONID=xxxxxxxxxxxxxxxxxxxxxx; iPlanetDirectoryPro=xxxxxxxxxxxxxxxxxx'#把cookie字符串处理成字典,以便接下来使用 cookies={}forlineincookie_str.split(';'):key,value=line.split('=',1)cookies[key]=value 方法二:模拟登录后再携带得到的cookie访问 ...
ipynb”)5 if my_file.is_file():FileNotFoundError: [Errno 2] No such file or directory: ‘...
open("document.docx", "rb") as docx_file: result = mammoth.convert_to_html(docx_file) ...