tablib 0.0.1

Format agnostic tabular data library (XLS, CSV, JSON, YAML, CSV)

Tabbed: format-agnostic tabular dataset library
===============================================

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.. *Tabbed is under active documentation-driven development.*


Tabbed is a format-agnostic tabular dataset library, written in Python.
It is a full python module which doubles as a CLI application for quick
dataset conversions.

Formats supported:

- JSON
- YAML
- Excel
- CSV
.. - HTML

At this time, Tabbed supports the **export** of it's powerful Dataset object instances into any of the above formats. Import is underway.

Please note that tabbed *purposefully* excludes XML support. It always will.


Features
--------

.. Convert datafile formats via API: ::
..
.. tablib.source(filename='data.csv').export('data.json')


.. Convert datafile formats via CLI: ::
..
.. $ tabbed data.csv data.json

.. Convert data formats via CLI pipe interface: ::
..
.. $ curl http://domain.dev/dataset.json | tabbed --to excel | gist -p


Populate fresh data files: ::

headers = ('first_name', 'last_name', 'gpa')

data = [
('John', 'Adams', 4.0),
('George', 'Washington', 2.6),
('Henry', 'Ford', 2.3)
]

data = tablib.Dataset(*data, headers=headers)

# Establish file location and save
data.save('test.xls')


Intelligently add new rows: ::

data.append('Bob', 'Dylan', 3.2)

print data.headers
# >>> ('first_name', 'last_name', 'gpa')


Slice rows: ::

print data[0:1]
# >>> [('John', 'Adams', 4.0), ('George', 'Washington', 2.6)]


.. Slice columns by header: ::
..
.. print data['first_name']
.. # >>> ['John', 'George', 'Henry']
..

Manipulate rows by index: ::

del data[0]
print data[0:1]
# >>> [('George', 'Washington', 2.6), ('Henry', 'Ford', 2.3)]

.. # Update saved file
.. data.save()


.. Export to various formats: ::
..
.. # Save copy as CSV
.. data.export('backup.csv')

Roadmap
-------
- Import datasets from CSV, JSON, YAML
- Auto-detect import format
- Plugin support

History
=======

0.1.0 (2010-09-??)
------------------

* Initial Release