Tools for wrapping data and manipulating it in efficient ways
Project description
# PyDataWrap Python Wrappers on Data Structures and abstractions over persistent data stores.
## Description This module is a home for Python wrappers of data, databases and datastructures. It defines common use wrapping that can treat one style of data as another or reorder/subselect a collection.
The filedbwrap file defines many file based database objects such as dictionaries and sets which are treated as memory objects in Python but have a very large capacity with limited memory footprint.
The savable file defines object persistence objects which save state when they deconstruct and reload that state upon initialization.
The listwrap file defines a no-copy list subset selector that can retrieve subsets of data to be treated as complete, contiguous lists.
There are also some file loading/saving modules for various formats.
## Dependencies * xlrd (for excel files in tableloader.py) * redis (for RedisDB wrappers)
## Setup ### Installation From source:
python setup.py install
From pip:
pip install pydatawrap
## Features * File based dictionaries and sets * Persistent file based objects * 2D table loading/saving * Table wrappers to transpose and transform data * List wrapping for sublist selection (without copying)
## Navigating the Repo ### datawrap The implementation files for the repository.
### tests All unit tests for the repo.
python setup.py test
## Language Preferences * Google Style Guide * Object Oriented (with a few exceptions)
## TODO * Add tests for fileloader and savable
## Author Author(s): Matthew Seal
Collaborator(s): Joe Maguire, Loren Abrams
© Copyright 2013, [OpenGov](http://opengov.com)
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