Package: tablib-garetjax
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)- HTML (Sets)- TSV (Sets)- CSV (Sets)Note that tablib *purposefully* excludes XML support. It always will. (Note: This is a joke. Pull requests are welcome.)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 manipulated as raw Python datatypes (Lists of tuples|dictionaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to XLSX, XLS, ODS, JSON, YAML, CSV, TSV, and HTML.`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 XLSX, XLS, ODS, 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((90, 67, 83), header='age')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.csvfirst_name,last_name,ageJohn,Adams,90Henry,Ford,83EXCEL!++++++::>>> open('people.xls', 'wb').write(data.xls)It's that easy.Installation------------To install tablib, simply: ::$ pip install tablibOr, if you absolutely must: ::$ easy_install tablibContribute----------If you'd like to contribute, simply fork `the repository`_, commit yourchanges to the **develop** branch (or branch off of it), and send a pullrequest. Make sure you add yourself to AUTHORS_... _`the repository`: http://github.com/kennethreitz/tablib.. _AUTHORS: http://github.com/kennethreitz/tablib/blob/master/AUTHORSHistory-------++++* Unicode Column Headers0.9.11 (2011-06-30)+++++++++++++++++++* Bugfixes0.9.10 (2011-06-22)+++++++++++++++++++* Bugfixes0.9.9 (2011-06-21)++++++++++++++++++* Dataset API Changes* ``stack_rows`` => ``stack``, ``stack_columns`` => ``stack_cols``* column operations have their own methods now (``append_col``, ``insert_col``)* List-style ``pop()``* Redis-style ``rpush``, ``lpush``, ``rpop``, ``lpop``, ``rpush_col``, and ``lpush_col``0.9.8 (2011-05-22)++++++++++++++++++* OpenDocument Spreadsheet support (.ods)* Full Unicode TSV support0.9.7 (2011-05-12)++++++++++++++++++* Full XLSX Support!* Pickling Bugfix* Compat Module0.9.6 (2011-05-12)++++++++++++++++++* ``seperators`` renamed to ``separators``* Full unicode CSV support0.9.5 (2011-03-24)++++++++++++++++++* Python 3.1, Python 3.2 Support (same code base!)* Formatter callback support* Various bug fixes0.9.4 (2011-02-18)++++++++++++++++++* Python 2.5 Support!* Tox Testing for 2.5, 2.6, 2.7* AnyJSON Integrated* OrderedDict support* Caved to community pressure (spaces)0.9.3 (2011-01-31)++++++++++++++++++* Databook duplication leak fix.* HTML Table output.* Added column sorting.0.9.2 (2010-11-17)++++++++++++++++++* Transpose method added to Datasets.* New frozen top row in Excel output.* Pickling support for Datasets and Rows.* Support for row/column stacking.0.9.1 (2010-11-04)++++++++++++++++++* Minor reference shadowing bugfix.0.9.0 (2010-11-04)++++++++++++++++++* Massive documentation update!* Tablib.org!* Row tagging and Dataset filtering!* Column insert/delete support* Column append API change (header required)* Internal Changes (Row object and use thereof)0.8.5 (2010-10-06)++++++++++++++++++* New import system. All dependencies attempt to load from site-packages,then fallback on tenderized modules.0.8.4 (2010-10-04)++++++++++++++++++* Updated XLS output: Only wrap if '\\n' in cell.0.8.3 (2010-10-04)++++++++++++++++++* Ability to append new column passing a callableas the value that will be applied to every row.0.8.2 (2010-10-04)++++++++++++++++++* Added alignment wrapping to written cells.* Added separator support to XLS.0.8.1 (2010-09-28)++++++++++++++++++* Packaging Fix0.8.0 (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 compensated in documentation.0.7.0 (2010-09-20)++++++++++++++++++* Renamed DataBook Databook for consistency.* 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.