numpy.argmin is giving me the maximum element index










0














I'm having some trouble with numpy and argmin. It seems as if argmin is returning the index of the maximum element. This sample code might clarify the case:



for i in range(20): 
indmin = np.argmin(M[n-1, 1:-1])
print("M[n-1, indmin] = ", M[n-1, indmin])

print("indmin = ", indmin)

M[n-1, indmin] = inf


The output of this piece of code is:



M[n-1, indmin] = 5.806069439930625
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
...


M[n-1,-1:1] contains values ranging approximately from 0 to 15. What's happening here?



Edit:
n = 813;
inf = 100000000



Link to M dump:
[http://www.mediafire.com/file/wjbk11tiafjo3do/probarray/file][1]










share|improve this question



















  • 1




    Can you provide M so we can test your code?
    – M. Doosti Lakhani
    Nov 12 at 13:35










  • It would be easier for someone to help you if you provided a minimal, complete and verifiable example.
    – Warren Weckesser
    Nov 12 at 13:49










  • Yes, of course. I added a link to an M dump in my question and the corresponding value of n.
    – HastatusXXI
    Nov 12 at 14:35











  • Please, let me know if you have any problem loading M (I double checked it in my computer before uploading)
    – HastatusXXI
    Nov 12 at 15:27











  • The loop does not depend on i, is this the actual code that you ran?
    – Pierre de Buyl
    Nov 12 at 16:29















0














I'm having some trouble with numpy and argmin. It seems as if argmin is returning the index of the maximum element. This sample code might clarify the case:



for i in range(20): 
indmin = np.argmin(M[n-1, 1:-1])
print("M[n-1, indmin] = ", M[n-1, indmin])

print("indmin = ", indmin)

M[n-1, indmin] = inf


The output of this piece of code is:



M[n-1, indmin] = 5.806069439930625
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
...


M[n-1,-1:1] contains values ranging approximately from 0 to 15. What's happening here?



Edit:
n = 813;
inf = 100000000



Link to M dump:
[http://www.mediafire.com/file/wjbk11tiafjo3do/probarray/file][1]










share|improve this question



















  • 1




    Can you provide M so we can test your code?
    – M. Doosti Lakhani
    Nov 12 at 13:35










  • It would be easier for someone to help you if you provided a minimal, complete and verifiable example.
    – Warren Weckesser
    Nov 12 at 13:49










  • Yes, of course. I added a link to an M dump in my question and the corresponding value of n.
    – HastatusXXI
    Nov 12 at 14:35











  • Please, let me know if you have any problem loading M (I double checked it in my computer before uploading)
    – HastatusXXI
    Nov 12 at 15:27











  • The loop does not depend on i, is this the actual code that you ran?
    – Pierre de Buyl
    Nov 12 at 16:29













0












0








0







I'm having some trouble with numpy and argmin. It seems as if argmin is returning the index of the maximum element. This sample code might clarify the case:



for i in range(20): 
indmin = np.argmin(M[n-1, 1:-1])
print("M[n-1, indmin] = ", M[n-1, indmin])

print("indmin = ", indmin)

M[n-1, indmin] = inf


The output of this piece of code is:



M[n-1, indmin] = 5.806069439930625
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
...


M[n-1,-1:1] contains values ranging approximately from 0 to 15. What's happening here?



Edit:
n = 813;
inf = 100000000



Link to M dump:
[http://www.mediafire.com/file/wjbk11tiafjo3do/probarray/file][1]










share|improve this question















I'm having some trouble with numpy and argmin. It seems as if argmin is returning the index of the maximum element. This sample code might clarify the case:



for i in range(20): 
indmin = np.argmin(M[n-1, 1:-1])
print("M[n-1, indmin] = ", M[n-1, indmin])

print("indmin = ", indmin)

M[n-1, indmin] = inf


The output of this piece of code is:



M[n-1, indmin] = 5.806069439930625
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
M[n-1, indmin] = 100000000.0
indmin = 1150
...


M[n-1,-1:1] contains values ranging approximately from 0 to 15. What's happening here?



Edit:
n = 813;
inf = 100000000



Link to M dump:
[http://www.mediafire.com/file/wjbk11tiafjo3do/probarray/file][1]







numpy min






share|improve this question















share|improve this question













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share|improve this question








edited Nov 12 at 14:34

























asked Nov 12 at 13:14









HastatusXXI

297




297







  • 1




    Can you provide M so we can test your code?
    – M. Doosti Lakhani
    Nov 12 at 13:35










  • It would be easier for someone to help you if you provided a minimal, complete and verifiable example.
    – Warren Weckesser
    Nov 12 at 13:49










  • Yes, of course. I added a link to an M dump in my question and the corresponding value of n.
    – HastatusXXI
    Nov 12 at 14:35











  • Please, let me know if you have any problem loading M (I double checked it in my computer before uploading)
    – HastatusXXI
    Nov 12 at 15:27











  • The loop does not depend on i, is this the actual code that you ran?
    – Pierre de Buyl
    Nov 12 at 16:29












  • 1




    Can you provide M so we can test your code?
    – M. Doosti Lakhani
    Nov 12 at 13:35










  • It would be easier for someone to help you if you provided a minimal, complete and verifiable example.
    – Warren Weckesser
    Nov 12 at 13:49










  • Yes, of course. I added a link to an M dump in my question and the corresponding value of n.
    – HastatusXXI
    Nov 12 at 14:35











  • Please, let me know if you have any problem loading M (I double checked it in my computer before uploading)
    – HastatusXXI
    Nov 12 at 15:27











  • The loop does not depend on i, is this the actual code that you ran?
    – Pierre de Buyl
    Nov 12 at 16:29







1




1




Can you provide M so we can test your code?
– M. Doosti Lakhani
Nov 12 at 13:35




Can you provide M so we can test your code?
– M. Doosti Lakhani
Nov 12 at 13:35












It would be easier for someone to help you if you provided a minimal, complete and verifiable example.
– Warren Weckesser
Nov 12 at 13:49




It would be easier for someone to help you if you provided a minimal, complete and verifiable example.
– Warren Weckesser
Nov 12 at 13:49












Yes, of course. I added a link to an M dump in my question and the corresponding value of n.
– HastatusXXI
Nov 12 at 14:35





Yes, of course. I added a link to an M dump in my question and the corresponding value of n.
– HastatusXXI
Nov 12 at 14:35













Please, let me know if you have any problem loading M (I double checked it in my computer before uploading)
– HastatusXXI
Nov 12 at 15:27





Please, let me know if you have any problem loading M (I double checked it in my computer before uploading)
– HastatusXXI
Nov 12 at 15:27













The loop does not depend on i, is this the actual code that you ran?
– Pierre de Buyl
Nov 12 at 16:29




The loop does not depend on i, is this the actual code that you ran?
– Pierre de Buyl
Nov 12 at 16:29












1 Answer
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oldest

votes


















2














Try:



for i in range(20): 
indmin = np.argmin(M[n-1, 1:-1])
print("M[n-1, indmin] = ", M[n-1, indmin])

print("indmin = ", indmin)

M[n-1, indmin+1] = inf # correction, the argmin was taken with an offset of 1


The argument to argmin is M[n-1, 1:-1] so the index you obtain is not one that matches the indexing of M. There is a shift of 1.






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    1 Answer
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    1 Answer
    1






    active

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    active

    oldest

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    active

    oldest

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    2














    Try:



    for i in range(20): 
    indmin = np.argmin(M[n-1, 1:-1])
    print("M[n-1, indmin] = ", M[n-1, indmin])

    print("indmin = ", indmin)

    M[n-1, indmin+1] = inf # correction, the argmin was taken with an offset of 1


    The argument to argmin is M[n-1, 1:-1] so the index you obtain is not one that matches the indexing of M. There is a shift of 1.






    share|improve this answer

























      2














      Try:



      for i in range(20): 
      indmin = np.argmin(M[n-1, 1:-1])
      print("M[n-1, indmin] = ", M[n-1, indmin])

      print("indmin = ", indmin)

      M[n-1, indmin+1] = inf # correction, the argmin was taken with an offset of 1


      The argument to argmin is M[n-1, 1:-1] so the index you obtain is not one that matches the indexing of M. There is a shift of 1.






      share|improve this answer























        2












        2








        2






        Try:



        for i in range(20): 
        indmin = np.argmin(M[n-1, 1:-1])
        print("M[n-1, indmin] = ", M[n-1, indmin])

        print("indmin = ", indmin)

        M[n-1, indmin+1] = inf # correction, the argmin was taken with an offset of 1


        The argument to argmin is M[n-1, 1:-1] so the index you obtain is not one that matches the indexing of M. There is a shift of 1.






        share|improve this answer












        Try:



        for i in range(20): 
        indmin = np.argmin(M[n-1, 1:-1])
        print("M[n-1, indmin] = ", M[n-1, indmin])

        print("indmin = ", indmin)

        M[n-1, indmin+1] = inf # correction, the argmin was taken with an offset of 1


        The argument to argmin is M[n-1, 1:-1] so the index you obtain is not one that matches the indexing of M. There is a shift of 1.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 12 at 21:21









        Pierre de Buyl

        4,7982916




        4,7982916



























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