Once a model has been solved, you can inspect the values of the
model variables in the optimal solution with the printAttr()
method on the Model object:
gurobi> m.printAttr('X')
Variable X
-------------------------
Dimes 2
Quarters 53
Dollars 100
Cu 999.8
Ni 46.9
Zi 50
Mn 30
This routine prints all non-zero values of the specified attribute
X. Attributes play a major role in the Gurobi optimizer.
We'll discuss them in more detail shortly.
You can also inspect the results of the optimization at a finer grain
by retrieving a list of all the variables in the model using the
getVars() method on the Model object
(m.getVars() in our example):
gurobi> v = m.getVars() gurobi> print(len(v)) 9The first command assigns the list of all
Var objects in model
m to variable v. The Python len() command
gives the length of the array (our example model coins has 9
variables). You can then query various attributes of the individual
variables in the list. For example, to obtain the variable name and
solution value for the first variable in list v, you would
issue the following command:
gurobi> print(v[0].varName, v[0].x) Pennies 0.0You can type
help(Var) or help(v[0]) to get a list of
all methods on a Var object. You can type help(GRB.Attr)
to get a list of all attributes.