path="path"files=glob.glob(path+"/*.txt")forfileinfiles:print(file) 1. 2. 3. 4. 5. 6. 7. 运行上述代码,输出结果将是: path/file1.txt path/file2.txt 1. 2. 状态图 下面是路径通配符的状态图,使用mermaid语法进行标识: 导入必要的模块指定要搜索的路径使用通配符
for (dirPath, dirNames, fileNames) in os.walk(searchPath): wantFilesPath += [os.path.join(dirPath, fileName) for fileName in fileNames if fnmatch.fnmatch(os.path.join(dirPath, fileName), partInfo)] return wantFilesPath if __name__ == "__main__": fileList = recursiveSearchFile...
def search_file(filename, search_path=os.environ['PATH'], pathsep=os.pathsep):#os.pathsep是分隔符';' for path in search_path.split(os.pathsep): candidate = os.path.join(path, filename)#预选路径 if os.path.isfile(candidate): yield os.path.abspath(candidate) #用生成器可以方便控制返...
read(size),每次读取size个字节的内容,适合于未知文件大小的读取; readline( ),每次读取一行内容; readlines( ),一次性读取所有内容,并按行返回list,适用于配置文件的读取。 file-like Object:像open()函数返回的这种有个read()方法的对象,在Python中统称为file-like Object。除了file外,还可以是内存的字节流,网...
(root, new_name)) print("Renamed folder:", new_name) for name in files: # 检查文件名称中的字符串并替换 if search_string in name: new_name = name.replace(search_string, replace_string) os.rename(os.path.join(root, name), os.path.join(root, new_name)) print("Renamed file:", ...
"""super(BOWModelEngine,self).__init__()self.__file_path_to_content={}# 子类BOWModelEngine自定义的私有属性 defprocess_search_contents(self,file_path,content):""" 该函数实现功能:重写了父类的process_search_contents方法,填充__file_path_to_content字典内容, key为文件名称,value为文件内容经过...
print(root_path, dirs, files)forfileinfiles:# 过滤文件类型,搜索关键字iftype_entry:# py 如果输入了类型,就进行过滤,如果没有输入,就不过滤类型iffile.endswith(file_type):# 搜索关键字content=open(root_path+'/'+file,mode='r',encoding='utf-8-sig').read()ifkeyincontent:print(root_path+'/...
批量移动函数传入的file_list参数是一个列表,形如搜索函数的输出结果,元素为带有path的文件名。dest为需要移动到的目录。 import os, shutil file_list = [] # 搜索函数 def search_file(root, target): for file in os.listdir(root): path = root ...
self.ftp.cwd(path) self.filelist = self.ftp.nlst() def matchnames(self, regpattern): pattern = re.compile(regpattern) matchedfiles = [] for file in self.filelist: match = pattern.search(file) if match: matchedfiles.append(match.string) ...
def search(root, target): fileList = [] items = listdir(root) for item in items: filepath = path.join(root, item) #判断是否是目录 if path.isdir(filepath): list = search(filepath, target) fileList = list + fileList #判断是否是文件 ...