limesqueezer 1.0.13

Lossy compression with controlled error tolerance for smooth data series

Limesqueezer

Limesqueezer is a toolkit where NumPy array are lossily compressed using spline fitting.

Table of Contents

• Quick start guide
  • The first steps
    • Installing
    • Importing

Quick start guide

Here's how you can start

The first steps

Installing

Install Limesqueezer with pip

pip install limesqueezer

Importing

Import name is the same as install name, limesqueezer.

import limesqueezer

Since the package is accessed often, abbreviation ls is used. The abbreviation is used throughout this document.

import limesqueezer as ls

Changelog

1.0.13 2024-07-17

• Support for python 3.12

1.0.12 2022-07-16

• Changed README to Markdown-only
• Updated documentation
• Some refactoring
• Fixed type hints to pass MyPy type checking

1.0.11 2022-07-16

• Debug plotting improvements
• Added undocumented API for other fitting functions
• More tests
• Profiling and benchmarking from tests

1.0.10 2022-05-08

• Cleaned documentation

1.0.9 2022-04-03

• Block and stream compression are much more uniform
• Restructuring
• Tests
• Profiling

1.0.8 2022-03-20

• Step-by-step style ploting of the compression.

1.0.7 2021-12-07

1.0.6 2021-12-02

1.0.5 2021-12-02

1.0.4 2021-12-01

1.0.3 2021-11-30

• First release on PyPI.