![]() ![]() The second line ensures our ext string is lowercase. The first line of our step function is of course our declaration of the function, and inclusion of the default arguments that will be passed directly by os.path.walk. names - the names of all files under dirname.dirname - the directory name for that iteration.ext - the arbitrary argument given to os.path.walk.The three arguments that walk passes on each iteration are: Now let's break it down line-by-line, but first it's very important to point out that the arguments given to step are being passed by directly the os.path.walk function, not by the user. Let's examine the function (which we'll define as "step") we use to print the path names of the files under top that have the file extension we can provide through arg. It then walks through the directory tree under the top, performing the function at every step. top - the top of the directory tree to walk.visit - a function to execute upon each iteration.arg - an arbitrary (but mandatory) argument.The os.path.walk function takes 3 arguments: Recursion with os.path.walk in Python 2.x To script this task, we can use the walk function in the os.path module or the walk function in the os module (using Python version 2.x or Python 3.x, respectively). ![]() In a way this recipe is a combination of How to Traverse a Directory Tree and Recursive Directory Traversal in Python: Make a list of your movies!, but we'll tweak it a bit and build upon it in part two. If you have had the experience of "losing" a file in your system where you don't remember its location and are not even sure of its name, though you remember its type, this is where you might find this recipe useful. The following is a simple/basic recipe to assist with finding certain files on your system by file extension. If you are looking to utilize Python to manipulate your directory tree or files on your system, there are many tools to help, including Python's standard os module. I think it's also good to use more specific names for the directory variables to clarify which one is a source and destination.Last Updated: Wednesday 29 th December 2021 The advantage of this is that copy_files_to is easier to unit test. I don't really like global constants inside methods, so I would split copy_files like this: def copy_files_to(srcdir, dstdir):Ĭopy_files_to(GOOGLE_DRIVE_DIRECTORY, dstdir) If a variable contains a format, I would suffix it with _fmt or _format to clarify. Instead of converting a date to a string, which may be locale dependent too, and then replacing characters in it, better to use strftime to generate exactly the format that you want: def get_backup_directory(base_directory):ĭate = ().strftime('%Y-%m-%d_%H%M') ![]() GOOGLE_DRIVE_DIRECTORY = 'C:\\Users\\Jeff\\Google Drive\\Manifest_Destiny' ![]() Works perfectly, but I'm just wondering if there are any Python best-practices I'm missing or if there's any way I could've made it better! import datetime It creates a new subdirectory which has its name constructed with the current date and time. It backs up the files to a local folder as well as to an external hard drive. I wrote this script to backup some important files. ![]()
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