Unexpected EOFError when reading large CSV file with Pandas
I've hit a wall trying to I'm working on a data analysis project using Python 3.9 and the Pandas library (version 1.3.3). My dataset is a large CSV file, approximately 2GB in size, and I need to read it into a DataFrame for processing. However, I keep running into an `EOFError` that says `EOFError: EOF when reading a line`. This happens at seemingly random places in the file and causes the reading process to halt. I've tried using the `chunksize` parameter to read the CSV file in smaller chunks, believing this might help mitigate the scenario, but I still encounter the same behavior. Here’s the code I’m using: ```python import pandas as pd chunks = [] try: for chunk in pd.read_csv('large_dataset.csv', chunksize=100000): chunks.append(chunk) except EOFError as e: print(f'behavior encountered: {e}') ``` I also attempted to use the `error_bad_lines=False` option to skip lines that cause issues, but it seems that the EOFError is not caught by this setting. The file itself is not corrupted as I can open it in Excel without any issues. I’ve checked the encoding as well, and it appears to be UTF-8. Is there a specific way to handle large CSV files in Pandas that might prevent this behavior? Should I consider using a different approach or library to read large files? Any advice would be appreciated! How would you solve this? This is part of a larger API I'm building. I'd really appreciate any guidance on this. I'm open to any suggestions.