A common, beautiful interface to tabular data, no matter the format


Keywords
tabular, table, csv, xls, xlsx, xpath, ods, sqlite, html, pdf, rows, data, opendata, convert-data, data-science, excel, hacktoberfest, python, tabular-data
Licenses
LGPL-3.0/GPL-3.0+
Install
pip install rows==0.0.0

Documentation

rows

Join the chat at https://gitter.im/turicas/rows Current version at PyPI Downloads per month on PyPI Supported Python Versions Software status License: LGPLv3

No matter in which format your tabular data is: rows will import it, automatically detect types and give you high-level Python objects so you can start working with the data instead of trying to parse it. It is also locale-and-unicode aware. :)

Want to learn more? Read the documentation (or build and browse the docs locally by running make docs-serve after installing requirements-development.txt).

Installation

The easiest way to getting the hands dirty is install rows, using pip.

PyPI

pip install rows

For another ways to instal refer to the Installation section documentation.

Contribution start guide

The preferred way to start contributing for the project is creating a virtualenv (you can do by using virtualenv, virtualenvwrapper, pyenv or whatever tool you'd like).

Create the virtualenv:

mkvirtualenv rows

Install all plugins' dependencies:

pip install --editable .[all]

Install development dependencies:

pip install -r requirements-development.txt