needed to parse your specific file format. Create a Regex pattern to filter the lines. Help structure the output into a clean DataFrame. read mixed data types in text file Python - Stack Overflow
If you can share a few lines of the actual content of "MIxed.txt", I can: MIxed.txt
If you try to load this into a pandas DataFrame directly, you’re likely to face error messages or type errors. Here’s how to clean up that "mixed.txt" mess. 1. Identify the Chaos needed to parse your specific file format
Mixed-type files are intimidating, but with the right approach—loading as raw text first and then casting types—you can master them. read mixed data types in text file Python
If your mixed file includes numbers in scientific notation, remember to use float(value) during your parsing loop. Conclusion
Handling the Chaos: How to Master Mixed-Type Text Files in Python
If your file has a somewhat structured mix of numbers and strings, numpy.genfromtxt is your best friend. It allows you to specify that a column is a string while others are floats, handling the conversion automatically.
