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

• Fixed packaging

• Added L12 Taguchi design.

• Added function to randomize runs

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

pyTaguchi has been built on Python 3.9.2

To install this package simply run

pip install pyTaguchi

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

MIT