I’m hoping someone can help me out here because I’m stuck with a frustrating issue in Python. I keep getting this FileNotFoundError with errno 2, which basically tells me that the file or directory I’m trying to access doesn’t exist. I’ve been working on this project where I need to read data from a CSV file, and I’m super sure that the file should be sitting right where I think it is, but Python just isn’t having it.
Here’s the code snippet that’s causing the trouble:
“`python
import pandas as pd
data = pd.read_csv(‘data/my_file.csv’)
“`
I’ve double-checked the file path, and it looks correct. The structure of my directories is as follows:
– project_folder/
– main.py
– data/
– my_file.csv
I’m running the script from the `project_folder`, so logically, it seems like the path should be ‘data/my_file.csv’. Still, every time I run the script, boom! – FileNotFoundError. I even tried using an absolute path just to be sure, and that didn’t work either.
I’ve also looked to see if maybe the file got accidentally renamed or moved, but it’s definitely still there, untouched. I can see it in my file explorer without any issues. I’ve also tried running my IDE with admin permissions—no luck there either.
I’m starting to think maybe there’s something weird going on with permissions or maybe Python is just looking in the wrong directory altogether? Or could there be a typo in my filename that I’m not seeing? Why is it just refusing to see this file?
If anyone has encountered this kind of issue and found a fix, I’d really appreciate some guidance. I’m kind of at my wit’s end here, and I just want to get this part of my project working so I can move on. Thanks in advance for any tips or suggestions!
It sounds like you’re having a frustrating time with this FileNotFoundError! Here are a few things you can check to hopefully solve the issue:
You can print the current working directory to see where Python is looking for the file. Add this line just before your pd.read_csv():
This will help you confirm if you’re indeed in the right directory.
Make sure there are no typos in your file name (like extra spaces, wrong casing, etc.). File names are case-sensitive on some systems.
Since you mentioned trying an absolute path, just make sure it’s formatted correctly. For example:
Replace “/full/path/to/project_folder” with the actual path to your project folder.
Make sure Python has permission to access the file. Right-click on the file, go to properties, and check the security settings.
If possible, try to open the CSV file with another program (like Excel or a text editor) to make sure it’s not corrupted.
If you’re on Windows, make sure you’re using the right path separators. Consider using:
Sometimes the IDE might have its own settings for the working directory. Make sure it’s set correctly to your project folder.
Hopefully, one of these tips will help you figure it out! Good luck!
When encountering a
FileNotFoundError
in Python, especially while trying to read a CSV file, it’s essential to systematically check the potential causes. First, ensure that the file path you’ve provided matches the actual location of the file. In your case, the pathdata/my_file.csv
seems correct since you are running the script from theproject_folder
. However, pay close attention to any discrepancies such as typos in the filename or the directory name, including case sensitivity, which can sometimes lead to such errors. Even though you’ve confirmed the directory structure, a simple mistake can still slip through; for example, if the file is namedmy_file.csv
versusMy_File.csv
, it can lead to aFileNotFoundError
.If the filename and path check out, consider the possibility of permission issues. Although running the IDE with admin privileges is a good step, ensure that your user has read permissions for the file and directory in question. Additionally, you can use the
os
module to print the current working directory (os.getcwd()
) and confirm that you are indeed running the script from the expected directory. If using an absolute path did not work, verify the actual path in the file explorer by copying it directly to avoid any manual errors. If you’re still facing issues after these checks, try running the script in a different environment or settings to isolate the problem further.