上传文件至Jupyter时忽略.DS_Store文件的方案咨询

Great question—those hidden .DS_Store files macOS auto-generates are such a persistent nuisance when working with data, especially if you’re moving files between systems or into Jupyter. Here are a few practical approaches that go beyond basic if statements:

1. Disable .DS_Store Generation Entirely (Long-Term Fix) #

If you’re tired of dealing with these files at all, you can tell macOS to stop creating them on network drives and external storage (the most common places you’ll upload data from). Open Terminal and run:

defaults write com.apple.desktopservices DSDontWriteNetworkStores true

Then restart Finder to apply the change:

killall Finder

Note: This won’t stop .DS_Store on your local internal drive, but it cuts down on most cases where you’ll be uploading data to Jupyter.

2. Batch Delete Before Uploading #

If you already have a folder full of .DS_Store files, clean them up in one go before uploading to Jupyter. Navigate to your target folder in Terminal and run:

find . -name ".DS_Store" -type f -delete

This recursively deletes all .DS_Store files in the folder and its subfolders—no need to manually hunt them down.

3. Clean Filtering in Jupyter (As a Safety Net) #

If you still end up with .DS_Store files in your Jupyter workspace, you can filter them out more cleanly than a clunky if statement:

• Using pathlib (modern, readable approach):

  from pathlib import Path
  
  data_dir = Path("./your_data_folder")
  valid_files = [file for file in data_dir.iterdir() if file.name != ".DS_Store"]
  

• Using glob:

  import glob
  
  valid_files = [f for f in glob.glob("./your_data_folder/*") if not f.endswith(".DS_Store")]
  

These one-liners are more concise than multiple if checks and easier to maintain.

4. Use .gitignore (If Using Version Control) #

If your data lives in a Git repository, add .DS_Store to your .gitignore file. This prevents the files from being committed, and you can even clean up existing ones with:

git rm --cached .DS_Store

This keeps your repository clean and avoids accidentally pushing .DS_Store files to shared environments.

Personally, I recommend combining the system-level disable (for future files) with pre-upload batch deletion—this keeps your Jupyter workflow free of extra filtering logic. Only fall back to the Jupyter-side filtering if you’re dealing with files you can’t pre-process first.

内容的提问来源于stack exchange，提问作者Tank