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designofexperiment
Advanced tools
A Python Package for intuitive design of experiments with user-friendly analysis of results
A Python Package for Design of Experiments
I worked with a research team investigating how Design of Experiments could be applied to Synthetic Biology over the summer of 2020, as part of this I made a general software review and was a little dissapointed at the sparsity of python packages for designing experiments, and what packages were available I found to be considerably inferior to the comercial DOE software like JMP, MODDE, or Minitab. So, I have created this python package to offer an open-source package for the Design of Experiments!
>>>import design
>>>Factors = {'Height':[1.6,2],'Width':[0.2,0.4],'Depth':[0.2,0.3],'Temp':[10,20],'Pressure':[100,200]}
>>>design.Factorial.frac_fact_2level(Factors,10)
Height Width Depth Temp Pressure
0 1.6 0.2 0.2 20 200
1 1.6 0.2 0.3 20 100
2 1.6 0.4 0.2 10 200
3 1.6 0.4 0.3 10 100
4 2.0 0.2 0.2 10 100
5 2.0 0.2 0.3 10 200
6 2.0 0.4 0.2 20 100
7 2.0 0.4 0.3 20 200
pip install designofexperiment
FAQs
A Python Package for intuitive design of experiments with user-friendly analysis of results
We found that designofexperiment demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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