Pandas_read_csv was regarded as invalid argument
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Dear Sir/Madam,
We are trying to use Pandas and Python to read a parameter from a csv file. In the file, for example, the parameter Betab,k,n is ‘1’ when b=9, k=10, n=2. In the optimization model, the constraint is Betab,k,n≥X b,k,n and the code in Gurobi is listed below. But an error occurs which is:
“File "src\gurobipy\model.pxi", line 3263, in gurobipy.gurobipy.Model.__addConstr.
GurobiError: Invalid argument to Model.addConstr””.
We wonder how to fix this problem. Thanks for your time.
Yang
for k in ListLiftu+ListRight:
for n in range(1,NumCaTy):
for b in ListDir:
cM.addConstr((dataBeta.loc[(dataBeta['b']==b)&(dataBeta['k']==k)&(dataBeta['n']==n),:].iloc[:,4].values) >= X[b,k,n],name="eq2")
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Hi Yang,
I recommend checking the type of
dataBeta.loc[(dataBeta['b']==b)&(dataBeta['k']==k)&(dataBeta['n']==n),:].iloc[:,4].values
Gurobi is expecting a scalar number here and this would return an array, as far as I can tell. The array may only have one element but will need to be converted into a number.
If the above does not help, could you post a minimal working example to make the issue reproducible?
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