glob(os.path.join(directory, "*")): if os.path.isfile(file_path): files.append(file_path) return files directory_path = "data" files_in_directory = list_files_in_directory(directory_path) print(files_in_directory) 输出: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ['data/file1...
def list_files_in_directory(directory): files = [] for file_path in glob.glob(os.path.join(directory, "*")): if os.path.isfile(file_path): files.append(file_path) return files directory_path = "data" files_in_directory = list_files_in_directory(directory_path) print(files_in_direc...
importospath='D:/lxw-delete/01-员工电脑配置信息'forroot,directories,filesinos.walk(path,topdown=False) :fornameinfiles :print(os.path.join(root,name))fornameindirectories :print(os.path.join(root,name))
importglob 1. 导入glob模块,用于查找匹配的文件路径名。 Step3: 指定多个目录 directories=["directory1/*","directory2/*"] 1. 将需要搜索的目录路径存储在一个列表中,这里我们指定了directory1和directory2两个目录。 Step4: 处理文件 files=[]fordirectoryindirectories:files.extend(glob.glob(directory)) 1....
import glob # 指定目录路径 directory_path = '/path/to/your/directory' # 查找目录中的所有文件 files = glob.glob(directory_path + '/*') # 查找目录中的所有文件夹 folders = glob.glob(directory_path + '/*/') # 打印文件列表 print("文件列表:") for file_path in files: print("文件:",...
is_file()) # True # 文件统计以及匹配查找 for val in (Path.cwd() / "files").glob("*.txt"): # 返回直接目录下所有与 pattern 匹配的文件,返回生成器类型 print(val) for val in (Path.cwd() / "files").rglob("*.txt"): # 返回递归目录下所有与 pattern 匹配的文件,返回生成器类型 ...
import shutil for file in list(glob(os.path.join('.', '*.csv'))): shutil.move(file...
Python提供了丰富的文件操作模块,其中`os`和`glob`模块尤其常用。通过这些模块,我们可以轻松地遍历文件夹,并按需对文件进行排序。 示例代码:按文件名排序 首先,我们来看如何按文件名的字母顺序对文件进行排序。 ```python import os def list_files_sorted_by_name(directory): ...
file_path_real = file_path_real.replace(home_dir, FLASH_HOME_PATH, 1) file_list = glob.glob(file_path_real) return True if len(file_list) > 0 else False else: # Invoke the YANG interface if the file is not in the root directory of the flash memory. file_dir = file_dir + "...
tempfile: Generate temporary files and directories glob: Unix style pathname pattern expansion Date and time management Date and time management modules provide tools for working with temporal data, timestamps, and calendars in Python applications. These modules offer precise control over time related ...