exvis visualizes MIP instances based on their expressions (variables and constraints) as a graph.

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  • License: MIT License (MIT License Copyright (c) 2024 Marius Merschformann Permission is hereby granted, free of charge, ...)
  • Author: Marius Merschformann
  • Maintainer: Marius Merschformann
  • Tags mip, mixed-integer programming, operations research, optimization, visualization
  • Requires: Python >=3.10
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Project description

exvis

exvis visualizes MIP instances in .mps & .lp format based on their expressions (variables and constraints) as a graph.

Installation

pip install exvis

Usage

exvis --input data/example/enlight_hard.mps.gz

For further options, see exvis --help.

Preview

Shown here are visualizations of instances from the MIPLIB 2017 set.
enlight_hard enlight_hard eva1aprime5x5opt eva1aprime5x5opt
neos-1171737 neos-1171737 neos-1324574 neos-1324574
mine-90-10 mine-90-10 peg-solitaire-a3 peg-solitaire-a3

Many more images of files from the MIPLIB 2017 set can be found here.

Known issues

  • The applied networkx functionality may eat up a lot of memory for large instances or run indefinitely.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for merschformann from gravatar.com merschformann

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License Copyright (c) 2024 Marius Merschformann Permission is hereby granted, free of charge, ...)
  • Author: Marius Merschformann
  • Maintainer: Marius Merschformann
  • Tags mip, mixed-integer programming, operations research, optimization, visualization
  • Requires: Python >=3.10
Classifiers

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This version

0.1.0

0.1.0.dev2 pre-release

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