A tiny library for handling CSV files.
Project description
incisive is a tiny library for handling CSV in Python. It’s a wrapper for the csv module.
Usage
You can read a csv file like this:
>>> iris = read_csv("data/iris.csv") >>> iris.next() {'petal_length': 1.4, 'petal_width': 0.2, 'sepal_length': 5.1, 'sepal_width': 3.5, 'species': 'setosa'}
read_csv returns a generator. Note that incisive, by default, tries to guess the type of the columns.
Writing a CSV file can be done in two ways:
with a list of dictionaries:
>>> data = [{'name': 'Lancelot', 'actor': 'John Cleese', 'color': 'blue'}, {'name': 'Galahad', 'actor': 'Michael Palin', 'color': 'yellow'}] >>> write_csv('bridge.csv', ('name', 'actor', 'color'), data=data)
(the keys are the field names of the CSV file.)
or with just a list of rows:
>>> rows = [('Lancelot', 'John Cleese', 'blue'), ('Galahad', 'Michael Palin', 'yellow')] >>> write_csv('bridge.csv', ('name', 'actor', 'color'), rows=rows)
Note that this second method requires that your field names correspond exactly to the elements of your rows.
Features
Simple API
Guess the types when it’s possible
Accept functions to specify the types
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
incisive-0.1.0.tar.gz
(3.4 kB
view hashes)