Tabular data package
elaine.angelino at gmail.com
Mon Oct 5 23:21:56 CEST 2009
We are writing to announce the release of "Tabular", a package of Python
modules for working with tabular data.
Tabular is a package of Python modules for working with tabular data. Its
main object is the tabarray class, a data structure for holding and
manipulating tabular data. By putting data into a tabarray object, you’ll
get a representation of the data that is more flexible and powerful than a
native Python representation. More specifically, tabarray provides:
-- ultra-fast filtering, selection, and numerical analysis methods, using
convenient Matlab-style matrix operation syntax
-- spreadsheet-style operations, including row & column operations, 'sort',
'replace', 'aggregate', 'pivot', and 'join'
-- flexible load and save methods for a variety of file formats, including
delimited text (CSV), binary, and HTML
-- helpful inference algorithms for determining formatting parameters and
data types of input files
-- support for hierarchical groupings of columns, both as data structures
and file formats
You can download Tabular from PyPI
or alternatively clone our hg repository from bitbucket (
We also have posted tutorial-style Sphinx documentation (
The tabarray object is based on the record
from the Numerical Python package (
NumPy <http://numpy.scipy.org/>), and Tabular is built to interface well
with NumPy in general. Our intended audience is two-fold: (1) Python users
who, though they may not be familiar with NumPy, are in need of a way to
work with tabular data, and (2) NumPy users who would like to do
spreadsheet-style operations on top of their more "numerical" work.
We hope that some of you find Tabular useful!
Elaine and Dan
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