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')