移动到新文件夹路径 picknumber = 8000 # 需要从源文件夹中抽取的图片数量 img_format = 'jpg' # 需要处理的图片后缀 i = 1 # 选取后的图片从1开始命名 # 检索源文件夹并随机选择图片 imglist = getFileList(org_img_folder, [], img_format) # 获取源文件夹及其子文件夹中图片列表
以下是示例代码: # 获取文件列表folder_path='/path/to/your/folder'list_url=f'{nas_ip}/webapi/ SYNO.FileStation.List.getInfo?api=SYNO.FileStation.List&version=2&method=list&folder_path={folder_path}'file_response=session.get(list_url)file_list=file_response.json().get('data',{}).get('...
return self.file_list_for_dirpath obj = MyTestClass() obj.get_files_in_dirpath('E:\mygit\AutoTestPlatform/UIAutotest') print(obj.get_file_list_for_dirpath()) 运行结果: 说明: 如上,get_files_in_dirpath函数目的是为了获取指定目录下的文件,按常理是函数中定义个变量,存放结果,最后直接return...
Here, you’re filtering the resulting list by using a conditional expression inside the comprehension to check if the item is a directory.But what if you need all the files and directories in the subdirectories of your folder too? You can adapt .iterdir() as a recursive function, as you...
frompathlibimportPathdefget_xlsx_files(folder_path):folder=Path(folder_path)xlsx_files=list(folder.glob("**/*.xlsx"))returnxlsx_files folder_path="/path/to/folder"xlsx_files=get_xlsx_files(folder_path)print(xlsx_files) 1. 2. 3.
shapeType.lower() != "polygon": raise ShapeError # Get the new field name and validate it fieldname = arcpy.GetParameterAsText(1) fieldname = arcpy.ValidateFieldName(fieldname, os.path.dirname(input)) # Make sure shape_length and shape_area fields exist if len(arcpy.ListFields(input, "...
):sht_3.range("A1:AZ48").column_width=1.1sht_3.range('A1:AZ48').row_height=7.8list_...
由于这些方法返回类似列表的值,而不是真正的列表,您应该将它们传递给list()函数,以列表的形式获取它们。在交互式 Shell 中输入以下内容: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 >>> shelfFile = shelve.open('mydata') >>> list(shelfFile.keys()) ['cats'] >>> list(shelfFile.values()...
# Get the $R filerecycle_file_path = os.path.join('/$Recycle.bin', dollar_i[1].rsplit("/",1)[0][1:] ) dollar_r_files = tsk_util.recurse_files("$R"+ dollar_i[0][2:], path=recycle_file_path, logic="startswith")
samples11np.random.shuffle(temp)12#after transpose, images is in dimension 0 and label in dimension 113image_list =list(temp[:,0])14label_list = list(temp[:,1])15label_list = [int(i)foriinlabel_list]16#print(label_list)17returnimage_list,label_list18TrainData,labels=get_files(path)...