how do I fix PuLP infeasible solution?












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I have a dataframe with 2000 rows, 58 columns. I used PuLP python package to formulate my problem but I get the following output. How do I get optimal solution.



prob.solve()

-1

print("Status:", LpStatus[prob.status])

Status: Infeasible





python






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    0












    $begingroup$


    I have a dataframe with 2000 rows, 58 columns. I used PuLP python package to formulate my problem but I get the following output. How do I get optimal solution.



    prob.solve()
    
-1
    
print("Status:", LpStatus[prob.status])
    
Status: Infeasible





    python






    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I have a dataframe with 2000 rows, 58 columns. I used PuLP python package to formulate my problem but I get the following output. How do I get optimal solution.



      prob.solve()
      
-1
      
print("Status:", LpStatus[prob.status])
      
Status: Infeasible





      python






      share









      $endgroup$




      I have a dataframe with 2000 rows, 58 columns. I used PuLP python package to formulate my problem but I get the following output. How do I get optimal solution.



      prob.solve()
      
-1
      
print("Status:", LpStatus[prob.status])
      
Status: Infeasible





      python




      python





      share












      share










      share



      share










      asked 4 mins ago









      KHAN irfanKHAN irfan

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