Question 1

How do I convert an EDI 835 file to CSV using edi-835-parser?

Accepted Answer

Parse the file with the parse() function, then use the to_dataframe() method on the returned TransactionSets object to get a pandas DataFrame, and finally save it as CSV using df.to_csv() as demonstrated in the README.

Question 2

What's the difference between edi-835-parser and pyx12?

Accepted Answer

edi-835-parser is specialized for EDI 835 files with a simpler, Python-focused API and pandas integration, whereas pyx12 supports multiple EDI formats but has a more complex setup and less direct DataFrame support.

Question 3

Can I use this parser to handle batches of EDI 835 files?

Accepted Answer

Yes, the parse() function accepts directory paths, processing all files in bulk and returning a TransactionSets object that can be converted to a DataFrame for batch analysis and export.

Question 4

How to extract specific payment details from an EDI 835 file with this library?

Accepted Answer

After parsing, use the TransactionSets object's methods to access structured data; inspect the transaction_set/transaction_sets.py file for available functions, or convert to a DataFrame to filter and query columns.

Question 5

What Python versions are compatible with edi-835-parser?

Accepted Answer

It requires Python 3.9 or higher, as specified in the installation instructions. You'll need to upgrade if using older versions, which might be a limitation in some setups.

Question 6

Is there support for validating EDI 835 compliance with this parser?

Accepted Answer

No, the library focuses on parsing and data extraction; for full compliance validation, you may need additional tools or custom checks, as it doesn't include built-in validation features.

Python 835 Parser

What is Python 835 Parser?

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