Skip to main content

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:
  1. 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.)

  1. 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for incisive, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size incisive-0.1.0.tar.gz (3.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page