how do I fix PuLP infeasible solution?












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I have a dataframe with 2000 rows. 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








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    $begingroup$


    I have a dataframe with 2000 rows. 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








    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I have a dataframe with 2000 rows. 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








      share









      $endgroup$




      I have a dataframe with 2000 rows. 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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      asked 1 min ago









      KHAN irfanKHAN irfan

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