Tools for wrapping data and manipulating it in efficient ways
Project description
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
allset
xlrd (for excel files in tableloader.py)
redis (for RedisDB wrappers)
Setup
Installation
From source:
python settup.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)
Language Preferences
Google Style Guide
Object Oriented (with a few exceptions)
TODO
Add tests for fileloader and savable
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