Over a million developers have joined DZone.

Parsing Fixed-Length File Records with Python

DZone's Guide to

Parsing Fixed-Length File Records with Python

· Web Dev Zone ·
Free Resource

Jumpstart your Angular applications with Indigo.Design, a unified platform for visual design, UX prototyping, code generation, and app development.

I’ve recently had to deal with parsing fixed-length file records and found struct.unpack and namedtuple to be a pretty useful and concise combination for the task:

>>> from struct import unpack
>>> from collections import namedtuple
>>> line = '    23C   17000'
>>> Transaction = namedtuple('Transaction', 'code status amount')
>>> format = '<6sc8s' # code: 6bytes, status: 1byte, amount: 8bytes
>>> txn = Transaction._make(unpack(format, line))
>>> txn
Transaction(code='    23', status='C', amount='   17000')
>>> txn.code, txn.status, txn.amount
('    23', 'C', '   17000')

Take a look at an Indigo.Design sample application to learn more about how apps are created with design to code software.


Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}