Welcome to datamapy’s documentation!

Overview

This library provides several tools for managing memory usage while accessing multiple large sets of data concurrently.

The implementation provided in this project uses the Python Imaging Library to read and store data in image files. However, the core memory management features of this project do not require the use of images.

The components included in this library were designed with expandability in mind and allow for easy expansion to accommodate other types of structured data.

datamapy.map	Data Image Maps
datamapy.access	Dynamic Access Data Buffer
datamapy.reorder	Sequence Reordering

Table of Contents

• Installation
  • From Source
• User Guide
  • Overview
  • Concepts
  • Tutorials
    • Using ValueMaps
    • Data Image Manipulation
    • Using Access Managers
    • Creating new color-value encoding formats
    • Creating and using new access formats with access managers
    • Creating reorder objects
• Package Submodules
  • map module
  • access module
  • reorder module
• About
  • Project Motivations
  • Possible Future Additions
  • Documentation Todo List
  • License

Quick Reference:

• datamapy.map
• datamapy.access
• datamapy.reorder

Indices and tables

• Index

• Module Index

• Search Page