tablib

Tablib: format-agnostic tabular dataset library

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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').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

Add ability to add/remove full columns
Import datasets from CSV, JSON, YAML
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

History

0.6.4 (2010-09-13)

Updated unicode export for XLS
More exhaustive unit tests

0.6.3 (2010-09-14)

Added Dataset.append() support for columns.

0.6.2 (2010-09-13)

Fixed Dataset.append() error on empty dataset.
Updated Dataset.headers property w/ validation.
Added Testing Fixtures.

0.6.1 (2010-09-12)

Packaging hotfixes.

0.6.0 (2010-09-11)

Public Release.
Export Support for XLS, JSON, YAML, and CSV.
DataBook Export for XLS, JSON, and YAML.
Python Dict Property Support.

Release files for tablib 0.6.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tablib 0.6.4
File	Size	Uploaded
tablib-0.6.4.tar.gz	9.0 kB	May 11, 2011	Details

Release files / tablib-0.6.4.tar.gz

Download URL	tablib-0.6.4.tar.gz
Size	9.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`79f5315d63fd4257d531b86301cb46e862e678c66445eb3cd9a4139d1e8abf98`
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Upload date	May 11, 2011
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