uma

uma is a Python package to collect pyomo results as pandas dataframe for easier access.

Installation

uma can be installed from PyPI using:

pip install uma

uma requires numpy and pandas to work.

Usage

uma works if the model solution is optimal. If the solution is infeasible, an error will be returned.

from uma import get_df, get_dict, get_value
from pyomo.environ import * 
from pyomo.opt import SolverFactory

model = ConcreteModel() 
model.x = Var(initialize=-1.2, bounds=(-2, 2))
model.y = Var(initialize= 1.0, bounds=(-2, 2))
model.obj = Objective( expr= (1-model.x)**2 + 100*(model.y-model.x**2)**2, sense= minimize)

solver = SolverFactory('ipopt')
solver.solve(model)

df = get_df(model)
print(df.head())

dict1 = get_dict(model)
print(dict1)

x = get_value(model.x)
print(x)