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Tablib: format-agnostic tabular dataset library
===============================================
::
_____ ______ ___________ ______
__ /_______ ____ /_ ___ /___(_)___ /_
_ __/_ __ `/__ __ \__ / __ / __ __ \
/ /_ / /_/ / _ /_/ /_ / _ / _ /_/ /
\__/ \__,_/ /_.___/ /_/ /_/ /_.___/
Tablib is a format-agnostic tabular dataset library, written in Python.
Output formats supported:
- Excel
- JSON
- YAML
- CSV
At this time, Tablib supports the **export** of it's powerful Dataset object instances into any of the above formats. Import is underway.
Note that tablib *purposefully* excludes XML support. It always will.
Usage
-----
Populate fresh data files: ::
headers = ('first_name', 'last_name')
data = [
('John', 'Adams'),
('George', 'Washington')
]
data = tablib.Dataset(*data, headers=headers)
Intelligently add new rows: ::
>>> data.append(('Henry', 'Ford'))
Intelligently add new columns: ::
>>> data.append(col=('age', 90, 67, 83))
Slice rows: ::
>>> print data[:2]
[('John', 'Adams', 90), ('George', 'Washington', 67)]
Slice columns by header: ::
>>> print data['first_name']
['John', 'George', 'Henry']
Easily delete rows: ::
>>> del data[1]
Drumroll please...........
JSON!
+++++
::
>>> print data.json
[
{
"last_name": "Adams",
"age": 90,
"first_name": "John"
},
{
"last_name": "Ford",
"age": 83,
"first_name": "Henry"
}
]
YAML!
+++++
::
>>> print data.yaml
- {age: 90, first_name: John, last_name: Adams}
- {age: 83, first_name: Henry, last_name: Ford}
CSV...
++++++
::
>>> print data.csv
first_name,last_name,age
John,Adams,90
Henry,Ford,83
EXCEL!
++++++
::
>>> open('people.xls', 'wb').write(data.xls)
It's that easy.
Installation
------------
To install tablib, simply: ::
$ pip install tablib
Or, if you absolutely must: ::
$ easy_install tablib
Contribute
----------
If you'd like to contribute, simply fork `the repository`_, commit your changes to the **develop** branch (or branch off of it), and send a pull request. Make sure you add yourself to AUTHORS_.
Roadmap
-------
- Import datasets from CSV.
- Release CLI Interface
- Auto-detect import format
- Add possible other exports (SQL?)
- Possibly plugin-ify format architecture
- Ability to assign types to rows (set, regex=, &c.)
- Plugin support
.. _`the repository`: http://github.com/kennethreitz/tablib
.. _AUTHORS: http://github.com/kennethreitz/tablib/blob/master/AUTHORS
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