I have a linear integer programme I want to solve. I installed solver glpk (thanks to this answer) and pyomo. I wrote code like this:
from pyomo.environ impo
I found the pyomoio
module in the urbs project. It extracts sets, parameters, variables, and so on, and the returns them in pandas
objects, which are very convenient for visualization in jupyter notebooks.
I build a simple model
model = ConcreteModel()
model.act = Set(initialize=list('IJK'))
model.goods = Set(initialize=list('ijk'))
u0 = {}
u0['i', 'J'] = 2.
u0['k', 'I'] = .3
model.U0 = Param(model.goods, model.act, initialize=u0, default=0)
I can then read it in a pandas DataFrame, with all the labels set appropriately.
import pyomoio as po
u_df = po.get_entity(model, 'U0').unstack()
print(u_df)
# act I J K
# goods
# i 0.0 2.0 0.0
# j 0.0 0.0 0.0
# k 0.3 0.0 0.0