This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

A command-line utility and Python API for manipulating CSV data, eg plucking columns and reordering them. It's a bit like the unix utility 'cut'

Project Description

A simple wrapper around Python’s CSV module to provide a command-line tool for filtering columns from a CSV file. This is useful as standard tools like awk can’t easily handle the quoting and escaping used in CSV files.

Basically, it’s a bit like cut but for CSVs.

Install

From PyPi:

pip install csvfilter

Use

Pluck fields 1, 3 and 5 from in.csv:

csvfilter -f 1,3,5 in.csv > out.csv

Pluck all fields apart from column 2 from STDIN:

cat in.csv | csvfilter -f 2 -i > out.csv

Convert pipe-separated file to comma-separated (by default, output is comma-separated):

csvfilter -d"|" in.psv > out.csv

Skip that pesky header row:

cat in.csv | csvfilter --skip=1

As you can see, CSV data can be supplied through STDIN or by running csvfilter directly on a file.

Help is in the usual place:

$ csvfilter --help

Usage: csvfilter [options] [inputfile]

Source: https://github.com/codeinthehole/csvfilter/

Options:
-h, --help            show this help message and exit
-f FIELDS, --fields=FIELDS
                        Specify which fields to pluck
-s SKIP, --skip=SKIP  Number of rows to skip
-d DELIMITER, --delimiter=DELIMITER
                        Delimiter of incoming CSV data
-q QUOTECHAR, --quotechar=QUOTECHAR
                        Quotechar of incoming CSV data

-i, --inverse         Invert the filter - ie drop the selected fields
--out-delimiter=OUT_DELIMITER
                        Delimiter to use for output
--out-quotechar=OUT_QUOTECHAR
                        Quote character to use for output

Report issues

Use the Github issue tracker or, better still…

Contribute

After cloning, install the testing requirements:

pip install -r requirements.txt

Install the package in ‘develop’ mode to bring the executable onto your path:

./setup.py develop

Run the tests with:

nosetests

and, if it helps, use the fixture files to test your amendments:

cat fixtures/au.csv | csvfilter -f 3,1,2 -s 1
csvfilter fixutres/au.csv -f 1,2 -i

Have fun.

Release History

Release History

This version
History Node

0.3.1

History Node

0.3

History Node

0.2.2

History Node

0.2.1

History Node

0.2

History Node

0.1.1

History Node

0.1

Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
csvfilter-0.3.1.tar.gz (4.0 kB) Copy SHA256 Checksum SHA256 Source Dec 21, 2014

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting