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pydoe2

Design of experiments for Python

https://github.com/clicumu/pydoe2

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords from Contributors

closember ipython notebook repl spec-0
Last synced: 11 months ago · JSON representation

Repository

Design of experiments for Python

Basic Info
  • Host: GitHub
  • Owner: clicumu
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: master
  • Size: 676 KB
Statistics
  • Stars: 162
  • Watchers: 16
  • Forks: 34
  • Open Issues: 3
  • Releases: 0
Fork of tisimst/pyDOE
Created almost 10 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License

README.md

pyDOE2: An experimental design package for python

pyDOE2 is a fork of the pyDOE package that is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

This fork came to life to solve bugs and issues that remained unsolved in the original package.

Capabilities

The package currently includes functions for creating designs for any number of factors:

  • Factorial Designs
    • General Full-Factorial (fullfact)
    • 2-level Full-Factorial (ff2n)
    • 2-level Fractional Factorial (fracfact)
    • Plackett-Burman (pbdesign)
    • Generalized Subset Designs (gsd)
  • Response-Surface Designs
    • Box-Behnken (bbdesign)
    • Central-Composite (ccdesign)
  • Randomized Designs
    • Latin-Hypercube (lhs)

See the original pyDOE homepage for details on usage and other notes.

What's new?

Generalized Subset Designs

In pyDOE2 version 1.1 the Generalized Subset Design (GSD) is introduced. GSD is a generalization of traditional fractional factorial designs to problems where factors can have more than two levels.

In many application problems, factors can have categorical or quantitative factors on more than two levels. Previous reduced designs have not been able to deal with such types of problems. Full multi-level factorial designs can handle such problems but are however not economical regarding the number of experiments.

The GSD provide balanced designs in multi-level experiments with the number of experiments reduced by a user-specified reduction factor. Complementary reduced designs are also provided analogous to fold-over in traditional fractional factorial designs.

GSD is available in pyDOE2 as:

``` import pyDOE2

levels = [2, 3, 4] # Three factors with 2, 3 or 4 levels respectively. reduction = 3 # Reduce the number of experiments to approximately a third.

pyDOE2.gsd(levels, reduction) ```

Requirements

  • NumPy
  • SciPy

Installation and download

Through pip:

pip install pyDOE2

Credits

pyDOE original code was originally converted from code by the following individuals for use with Scilab:

  • Copyright (C) 2012 - 2013 - Michael Baudin
  • Copyright (C) 2012 - Maria Christopoulou
  • Copyright (C) 2010 - 2011 - INRIA - Michael Baudin
  • Copyright (C) 2009 - Yann Collette

  • Copyright (C) 2009 - CEA - Jean-Marc Martinez

  • Website: forge.scilab.org/index.php/p/scidoe/sourcetree/master/macros

pyDOE was converted to Python by the following individual:

  • Copyright (c) 2014, Abraham D. Lee

The following individuals forked and work on pyDOE2:

  • Copyright (C) 2018 - Rickard Sjögren and Daniel Svensson

License

This package is provided under two licenses:

  1. The BSD License (3-clause)
  2. Any other that the author approves (just ask!)

References

Owner

  • Name: clicumu
  • Login: clicumu
  • Kind: organization

GitHub Events

Total
  • Watch event: 10
Last Year
  • Watch event: 10

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 115
  • Total Committers: 11
  • Avg Commits per committer: 10.455
  • Development Distribution Score (DDS): 0.313
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
tisimst t****t@g****m 79
RickardSjogren r****9@g****m 21
rockandsalt m****7@h****m 5
Eduardo Valle d****e@d****r 2
Olle Vidner o****e@v****e 2
Andrei d****4@y****m 1
Jörg Dietrich a****o@j****m 1
andife f****r@a****e 1
Julien Schueller s****r@p****m 1
Matthew R. Becker b****r 1
Todd t****8@g****m 1
Committer Domains (Top 20 + Academic)
phimeca.com: 1 arcor.de: 1 joergdietrich.com: 1 vidner.se: 1 dca.fee.unicamp.br: 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 0
  • Total pull requests: 17
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Total issue authors: 0
  • Total pull request authors: 11
  • Average comments per issue: 0
  • Average comments per pull request: 1.24
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • RickardSjogren (4)
  • toddrme2178 (2)
  • beckermr (2)
  • ovidner (2)
  • rockandsalt (1)
  • snewb (1)
  • comatrion (1)
  • Illviljan (1)
  • andife (1)
  • jschueller (1)
  • dipsav (1)
Top Labels
Issue Labels
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Packages

  • Total packages: 3
  • Total downloads:
    • pypi 20,623 last-month
  • Total docker downloads: 246
  • Total dependent packages: 16
    (may contain duplicates)
  • Total dependent repositories: 46
    (may contain duplicates)
  • Total versions: 13
  • Total maintainers: 2
pypi.org: pydoe2

Design of experiments for Python

  • Versions: 7
  • Dependent Packages: 9
  • Dependent Repositories: 35
  • Downloads: 20,623 Last month
  • Docker Downloads: 246
Rankings
Dependent packages count: 1.0%
Downloads: 2.0%
Dependent repos count: 2.5%
Average: 3.8%
Docker downloads count: 4.2%
Stargazers count: 6.2%
Forks count: 6.8%
Maintainers (1)
RickardSjogren
Last synced: 12 months ago
conda-forge.org: pydoe2

Fork of pyDOE, package designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

  • Versions: 5
  • Dependent Packages: 7
  • Dependent Repositories: 11
Rankings
Dependent packages count: 8.0%
Dependent repos count: 10.7%
Average: 20.3%
Forks count: 30.7%
Stargazers count: 31.8%
Last synced: 12 months ago
spack.io: py-pydoe2

pyDOE2 is a fork of the pyDOE package that is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 0.0%
Stargazers count: 17.2%
Forks count: 17.3%
Average: 22.9%
Dependent packages count: 57.3%
Maintainers (1)
adamjstewart
Last synced: 12 months ago