Unexpected EOFError when reading large files using Python 3.9 with pandas
I'm a bit lost with Quick question that's been bugging me - Quick question that's been bugging me - I'm working with an `EOFError` when trying to read a large CSV file (about 2GB) using pandas in Python 3.9. The file is well-formed, and I've verified that I can open it with other tools like Excel without any issues. Below is the code snippet I am using to read the file: ```python import pandas as pd file_path = 'large_file.csv' df = pd.read_csv(file_path) ``` When I run this code, I intermittently receive the following behavior: ``` EOFError: Expected 5 fields in line 10, saw 4 ``` I have tried using the `error_bad_lines=False` parameter to skip problematic lines, but it still results in the same behavior. Adjusting the `chunksize` parameter also didn't help as it still leads to the EOFError on the same line. Here's the modified attempt: ```python df = pd.read_csv(file_path, error_bad_lines=False, chunksize=10000) ``` Additionally, I have checked for hidden characters in the file using a hex editor, and everything seems normal. I also considered the possibility that the file could be corrupted, but again, other applications handle it just fine. Is there a best practice for dealing with large CSV files in pandas that can prevent this kind of behavior? I would appreciate any guidance on how to troubleshoot this behavior or alternative ways to read large CSV files efficiently without running into `EOFError`. For context: I'm using Python on Linux. Is there a better approach? How would you solve this?