How to set bounds in pyomo using array
I'm new to pyomo.I have data frame of around 100,000 rows which I'm using for optimization. I'm using three columns of data frame,P1,P2,P3 for optimization.
My objective function looks like
z=(aXP1+bXP2)XP3,a & b are constant
Each row of my data frame gives me 1 upper bound & 1 lower bound for x1 to x3.
Initially I took 6 data from my data set & tried to set the bounds using following code
model.P1 = Var(bounds=(1,1.1,1.5,1.7,1,1.8,1.7,1.9,1.4,1.8,1.8,2.1),initialize=(1,2,1,1.3,1,1.8,1.7,1.6,1.4,1.2,1.8,1.7))
I got following error message
TypeError: Cannot convert object of type 'tuple' (value = (1, 2, 1, 1.3, 1, 1.8, 1.7, 1.6, 1.4, 1.2, 1.8, 1.7)) to a numeric value.
Can you suggest me how do I set the bound using an array of numbers?
python pyomo
asked Nov 12 '18 at 5:26
JesminJesmin
166
add a comment |
I'm new to pyomo.I have data frame of around 100,000 rows which I'm using for optimization. I'm using three columns of data frame,P1,P2,P3 for optimization.
My objective function looks like
z=(aXP1+bXP2)XP3,a & b are constant
Each row of my data frame gives me 1 upper bound & 1 lower bound for x1 to x3.
Initially I took 6 data from my data set & tried to set the bounds using following code
model.P1 = Var(bounds=(1,1.1,1.5,1.7,1,1.8,1.7,1.9,1.4,1.8,1.8,2.1),initialize=(1,2,1,1.3,1,1.8,1.7,1.6,1.4,1.2,1.8,1.7))
I got following error message
TypeError: Cannot convert object of type 'tuple' (value = (1, 2, 1, 1.3, 1, 1.8, 1.7, 1.6, 1.4, 1.2, 1.8, 1.7)) to a numeric value.
Can you suggest me how do I set the bound using an array of numbers?
python pyomo
asked Nov 12 '18 at 5:26
JesminJesmin
166
add a comment |
I'm new to pyomo.I have data frame of around 100,000 rows which I'm using for optimization. I'm using three columns of data frame,P1,P2,P3 for optimization.
My objective function looks like
z=(aXP1+bXP2)XP3,a & b are constant
Each row of my data frame gives me 1 upper bound & 1 lower bound for x1 to x3.
Initially I took 6 data from my data set & tried to set the bounds using following code
model.P1 = Var(bounds=(1,1.1,1.5,1.7,1,1.8,1.7,1.9,1.4,1.8,1.8,2.1),initialize=(1,2,1,1.3,1,1.8,1.7,1.6,1.4,1.2,1.8,1.7))
I got following error message
TypeError: Cannot convert object of type 'tuple' (value = (1, 2, 1, 1.3, 1, 1.8, 1.7, 1.6, 1.4, 1.2, 1.8, 1.7)) to a numeric value.
Can you suggest me how do I set the bound using an array of numbers?
python pyomo
asked Nov 12 '18 at 5:26
JesminJesmin
166
I'm new to pyomo.I have data frame of around 100,000 rows which I'm using for optimization. I'm using three columns of data frame,P1,P2,P3 for optimization.
My objective function looks like
z=(aXP1+bXP2)XP3,a & b are constant
Each row of my data frame gives me 1 upper bound & 1 lower bound for x1 to x3.
Initially I took 6 data from my data set & tried to set the bounds using following code
model.P1 = Var(bounds=(1,1.1,1.5,1.7,1,1.8,1.7,1.9,1.4,1.8,1.8,2.1),initialize=(1,2,1,1.3,1,1.8,1.7,1.6,1.4,1.2,1.8,1.7))
I got following error message
TypeError: Cannot convert object of type 'tuple' (value = (1, 2, 1, 1.3, 1, 1.8, 1.7, 1.6, 1.4, 1.2, 1.8, 1.7)) to a numeric value.
Can you suggest me how do I set the bound using an array of numbers?
python pyomo
python pyomo
asked Nov 12 '18 at 5:26
JesminJesmin
166
asked Nov 12 '18 at 5:26
JesminJesmin
166
asked Nov 12 '18 at 5:26
JesminJesmin
166
asked Nov 12 '18 at 5:26
JesminJesmin
166
asked Nov 12 '18 at 5:26
JesminJesmin
166
166
add a comment |
add a comment |
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