Tabby 0.3.0

When working with a csv or tsv file it often useful to coerce the output into a given format. Tabby is a Python module that allows one to setup a schema and then parse a iterable of rows into that schema.

import csv
import tabby

schema = [fields.StringField('stop_id'),
 fields.StringField('stop_code', key='code'),
 fields.StringField('stop_name', key='name'),
 fields.StringField('stop_desc', key='desc'),
 fields.FloatField('stop_lat', key='lat'),
 fields.FloatField('stop_lon', key='lon'),
 fields.StringField('zone_id'),
 fields.StringField('stop_url', key='url'),
 ]

with open('file.csv', 'r') as f:
 rows = csv.reader(f)
 rows = list(tabby.parse(rows, schema))

>>> print rows[0]
{'code': '12925',
 'name': 'MATILDA @ LEWIS - S - NS',
 'url': None,
 'lon': -96.7686,
 'zone_id': None,
 'stop_id': '12925',
 'lat': 32.812256,
 'desc': None
 }


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Requirements:
Ссылка: http://pypi.pyt..s/source/T/Tabby/Tabby-0.3.0.tar.gz#md5=82bdfb0684ae851c649f18ba1d274e42