在Jupyter Notebook中使用Pandas加载CSV文件失败求助

Hey there, let's troubleshoot this OSError you're hitting when trying to load your CSV file with pandas. I've run into this exact issue multiple times, so here are the most common fixes to try:

1. Double-check your file path (escape characters matter!) #

Windows file paths can be tricky with backslashes—they act as escape characters in Python strings. Try one of these alternatives to avoid path errors:

• Use a raw string (prefix with r):

  filename = r'C:\Users\xyz\Documents\Python\Kag\Building_Permits.csv'
  

• Replace single backslashes with double backslashes:

  filename = 'C:\\Users\\xyz\\Documents\\Python\\Kag\\Building_Permits.csv'
  

• Your original forward slash path should work, but sometimes typos slip in—double-check every folder name and the filename itself.

2. Verify the file actually exists (and isn't locked) #

• Navigate manually to C:/Users/xyz/Documents/Python/Kag/ and make sure Building_Permits.csv is there. Check for typos in the filename (including capitalization, even though Windows is case-insensitive, pandas can sometimes be picky).
• If you have the file open in another program like Excel, close it—locked files will throw an OSError when pandas tries to read them.

3. Check file permissions #

Sometimes your user account doesn't have read access to the folder or file. Right-click the Kag folder, go to Properties > Security, and ensure your user has "Read & execute" permissions enabled.

4. Quick debug trick to confirm the path #

Add this snippet before reading the file to confirm if Python can see the path:

import os
filename = 'C:/Users/xyz/Documents/Python/Kag/Building_Permits.csv'
print(os.path.exists(filename))  # Outputs True if path is valid, False if not

Try these steps one by one—most likely it's a path typo or locked file causing the issue.

内容的提问来源于stack exchange，提问作者SCViv