pyTaguchi

Taguchi designs made easy. More infos about: Engineering Statistics Handbook

Changelog

v.0.4

• Fixed packaging

v.0.3

• Added L12 Taguchi design.

v.0.2

• Added function to randomize runs

v.0.1

• Initial Release
• Added L4, L9, L16b and L8 Taguchi designs.

Installation

pyTaguchi has been built on Python 3.9.2

To install this package simply run

pip install pyTaguchi

Use

1. Import in your project

import pyTaguchi

2. Define your variables

var1 = {
  "name": "Variable n.1",
  "values": [30, 35, 40]
}   

var2 = {
  "name": "Variable n.2",
  "values": [20, 30, 40]
}  

var3 = {
  "name": "Variable n.3",
  "values": [10, 27, 50]
}  

var4 = {
  "name": "Variable n.4",
  "values": [0.2, 0.5, 0.7]
} 

3. Create object and add variables

tg = Taguchi()
tg.add(var1)
tg.add(var2)
tg.add(var3)
tg.add(var4)

4. Run and get plotted matrix

tg.run()

... or if you want to randomize the runs:

tg.run(randomize=True)

5. Expected output

License

MIT