Format agnostic tabular data library (XLS, JSON, YAML, CSV)
Project description
Tablib: format-agnostic tabular dataset library
_____ ______ ___________ ______ __ /_______ ____ /_ ___ /___(_)___ /_ _ __/_ __ `/__ __ \__ / __ / __ __ \ / /_ / /_/ / _ /_/ /_ / _ / _ /_/ / \__/ \__,_/ /_.___/ /_/ /_/ /_.___/
Tablib is a format-agnostic tabular dataset library, written in Python.
Output formats supported:
Excel (Sets + Books)
JSON (Sets + Books)
YAML (Sets + Books)
CSV (Sets)
Import formats supported:
JSON (Sets + Books)
YAML (Sets + Books)
CSV (Sets)
Note that tablib purposefully excludes XML support. It always will.
Overview
- tablib.Dataset()
A Dataset is a table of tabular data. It may or may not have a header row. They can be build and maniuplated as raw Python datatypes (Lists of tuples|dictonaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
- tablib.Databook()
A Databook is a set of Datasets. The most common form of a Databook is an Excel file with multiple spreadsheets. Databooks can be imported from JSON and YAML; they can be exported to Excel (XLS), JSON, and YAML.
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]
Exports
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.
Imports!
JSON
>>> data.json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
>>> print data[0]
('John', 'Adams', 90)
YAML
>>> data.yaml = '- {age: 90, first_name: John, last_name: Adams}'
>>> print data[0]
('John', 'Adams', 90)
CSV
>>> data.yaml = 'age, first_name, last_name\n90, John, Adams'
>>> print data[0]
('John', 'Adams', 90)
>>> print data.yaml
- {age: 90, first_name: John, last_name: Adams}
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
Release CLI Interface
Auto-detect import format
Add possible other exports (SQL?)
Ability to assign types to rows (set, regex=, &c.)
History
0.8.1 (2010-09-28)
Packaging Fix
0.8.0 (2010-09-25)
New format plugin system!
Imports! ELEGANT Imports!
Tests. Lots of tests.
0.7.1 (2010-09-20)
Reverting methods back to properties.
Windows bug compenated in documentation.
0.7.0 (2010-09-20)
Renamed DataBook Databook for consistiency.
Export properties changed to methods (XLS filename / StringIO bug).
Optional Dataset.xls(path=’filename’) support (for writing on windows).
Added utf-8 on the worksheet level.
0.6.4 (2010-09-19)
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 history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file tablib-0.8.1.tar.gz.
File metadata
- Download URL: tablib-0.8.1.tar.gz
- Upload date:
- Size: 10.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ecfae68eec3a3d81518b6a574724be8a773a852bfb8c369276ef865d323c5357 |
|
| MD5 | 1530fb00dcc845674ea314b38a76bb0d |
|
| BLAKE2b-256 | 1d6417156814647fcb0f362c0187b8cc24a5aa442a1623ddf28d1506cc62cc7f |
