Counting certain elements in listsSplitting up delimited data in listsCounting function, comparing listsTake the next element in a nested listIssue with very large lists in Mathematica“renormalising” a listTiming and memory use is critical:fast partitioning of binary sparse arrayReplicate sublist in new listLess than Nothingrebinning of dataCounting elements in a list

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Counting certain elements in lists


Splitting up delimited data in listsCounting function, comparing listsTake the next element in a nested listIssue with very large lists in Mathematica“renormalising” a listTiming and memory use is critical:fast partitioning of binary sparse arrayReplicate sublist in new listLess than Nothingrebinning of dataCounting elements in a list













4












$begingroup$


I have the following data set:



n1 = 1000;
data1 = #, RandomInteger[3, 20] & /@ Range[n1];

Dimensions@data1
1000, 2


I want to count how often data1[[All, 2]] == 1.



My solution, which seems to be wrong:



result1 = Table[
Count[Flatten@(data1[[i, 2]]), u_ /; u == 1],
i, 1, n1
];

Dimensions@result1
1000


Now I have 50 appended lists of data1 (= data2).



n3 = 50;

data2 = Array[0 &, n3];

Do[
data2[[i]] = #, RandomInteger[3, 20] & /@ Range[n1];
, i, 1, n3
];

Dimensions@data2
50, 1000, 2


I want to count how often data2[[j, i, 2]] == 1, where i, 1, n1 and j, 1, n3.



My solution for this more complicated list:



result2 = Array[0 &, n3];

Do[
result2[[j]] =
Table[
Count[Flatten@(data2[[j, i, 2]]), u_ /; u == 1],
i, 1, n1
];
, j, 1, n3
];

Dimensions@result2
50, 1000


How can I replace the Do loops in both cases and improve the performance?










share|improve this question











$endgroup$
















    4












    $begingroup$


    I have the following data set:



    n1 = 1000;
    data1 = #, RandomInteger[3, 20] & /@ Range[n1];

    Dimensions@data1
    1000, 2


    I want to count how often data1[[All, 2]] == 1.



    My solution, which seems to be wrong:



    result1 = Table[
    Count[Flatten@(data1[[i, 2]]), u_ /; u == 1],
    i, 1, n1
    ];

    Dimensions@result1
    1000


    Now I have 50 appended lists of data1 (= data2).



    n3 = 50;

    data2 = Array[0 &, n3];

    Do[
    data2[[i]] = #, RandomInteger[3, 20] & /@ Range[n1];
    , i, 1, n3
    ];

    Dimensions@data2
    50, 1000, 2


    I want to count how often data2[[j, i, 2]] == 1, where i, 1, n1 and j, 1, n3.



    My solution for this more complicated list:



    result2 = Array[0 &, n3];

    Do[
    result2[[j]] =
    Table[
    Count[Flatten@(data2[[j, i, 2]]), u_ /; u == 1],
    i, 1, n1
    ];
    , j, 1, n3
    ];

    Dimensions@result2
    50, 1000


    How can I replace the Do loops in both cases and improve the performance?










    share|improve this question











    $endgroup$














      4












      4








      4





      $begingroup$


      I have the following data set:



      n1 = 1000;
      data1 = #, RandomInteger[3, 20] & /@ Range[n1];

      Dimensions@data1
      1000, 2


      I want to count how often data1[[All, 2]] == 1.



      My solution, which seems to be wrong:



      result1 = Table[
      Count[Flatten@(data1[[i, 2]]), u_ /; u == 1],
      i, 1, n1
      ];

      Dimensions@result1
      1000


      Now I have 50 appended lists of data1 (= data2).



      n3 = 50;

      data2 = Array[0 &, n3];

      Do[
      data2[[i]] = #, RandomInteger[3, 20] & /@ Range[n1];
      , i, 1, n3
      ];

      Dimensions@data2
      50, 1000, 2


      I want to count how often data2[[j, i, 2]] == 1, where i, 1, n1 and j, 1, n3.



      My solution for this more complicated list:



      result2 = Array[0 &, n3];

      Do[
      result2[[j]] =
      Table[
      Count[Flatten@(data2[[j, i, 2]]), u_ /; u == 1],
      i, 1, n1
      ];
      , j, 1, n3
      ];

      Dimensions@result2
      50, 1000


      How can I replace the Do loops in both cases and improve the performance?










      share|improve this question











      $endgroup$




      I have the following data set:



      n1 = 1000;
      data1 = #, RandomInteger[3, 20] & /@ Range[n1];

      Dimensions@data1
      1000, 2


      I want to count how often data1[[All, 2]] == 1.



      My solution, which seems to be wrong:



      result1 = Table[
      Count[Flatten@(data1[[i, 2]]), u_ /; u == 1],
      i, 1, n1
      ];

      Dimensions@result1
      1000


      Now I have 50 appended lists of data1 (= data2).



      n3 = 50;

      data2 = Array[0 &, n3];

      Do[
      data2[[i]] = #, RandomInteger[3, 20] & /@ Range[n1];
      , i, 1, n3
      ];

      Dimensions@data2
      50, 1000, 2


      I want to count how often data2[[j, i, 2]] == 1, where i, 1, n1 and j, 1, n3.



      My solution for this more complicated list:



      result2 = Array[0 &, n3];

      Do[
      result2[[j]] =
      Table[
      Count[Flatten@(data2[[j, i, 2]]), u_ /; u == 1],
      i, 1, n1
      ];
      , j, 1, n3
      ];

      Dimensions@result2
      50, 1000


      How can I replace the Do loops in both cases and improve the performance?







      list-manipulation






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 3 hours ago







      lio

















      asked 3 hours ago









      liolio

      1,140217




      1,140217




















          2 Answers
          2






          active

          oldest

          votes


















          4












          $begingroup$

          For your result1:



          Count[1] /@ data1[[All, 2, 1]]


          For your result2:



          Map[Count[1], data2[[All, All, 2, 1]], 2];





          share|improve this answer











          $endgroup$












          • $begingroup$
            This is great ...
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            Do you have an idea for result2 improvement?
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
            $endgroup$
            – MarcoB
            3 hours ago


















          3












          $begingroup$

          r1 = Total[1 - Unitize[data1[[All, 2, 1]] - 1], 2] 

          Short @ %



          5,5,4,6,5,8,5,6,5,4,8,6,3,3,2,7,2,9,5,6,4,5,3,8,7,6,8,3,7,5,9,4,7,6,5,4,5,5,<<925>>,7,5,6,6,3,5,4,6,6,9,7,9,5,6,4,3,8,4,4,6,6,9,6,6,3,8,3,4,1,8,4,4,4,5,7,8,5




          r2 = Join @@@ Total[1 - Unitize[data2[[All, All, 2]] - 1], 4];
          r2 // Dimensions



          50, 1000







          share|improve this answer











          $endgroup$












          • $begingroup$
            Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio, please see the update.
            $endgroup$
            – kglr
            2 hours ago










          Your Answer





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          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          4












          $begingroup$

          For your result1:



          Count[1] /@ data1[[All, 2, 1]]


          For your result2:



          Map[Count[1], data2[[All, All, 2, 1]], 2];





          share|improve this answer











          $endgroup$












          • $begingroup$
            This is great ...
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            Do you have an idea for result2 improvement?
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
            $endgroup$
            – MarcoB
            3 hours ago















          4












          $begingroup$

          For your result1:



          Count[1] /@ data1[[All, 2, 1]]


          For your result2:



          Map[Count[1], data2[[All, All, 2, 1]], 2];





          share|improve this answer











          $endgroup$












          • $begingroup$
            This is great ...
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            Do you have an idea for result2 improvement?
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
            $endgroup$
            – MarcoB
            3 hours ago













          4












          4








          4





          $begingroup$

          For your result1:



          Count[1] /@ data1[[All, 2, 1]]


          For your result2:



          Map[Count[1], data2[[All, All, 2, 1]], 2];





          share|improve this answer











          $endgroup$



          For your result1:



          Count[1] /@ data1[[All, 2, 1]]


          For your result2:



          Map[Count[1], data2[[All, All, 2, 1]], 2];






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited 3 hours ago

























          answered 3 hours ago









          MarcoBMarcoB

          37.5k556113




          37.5k556113











          • $begingroup$
            This is great ...
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            Do you have an idea for result2 improvement?
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
            $endgroup$
            – MarcoB
            3 hours ago
















          • $begingroup$
            This is great ...
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            Do you have an idea for result2 improvement?
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
            $endgroup$
            – MarcoB
            3 hours ago















          $begingroup$
          This is great ...
          $endgroup$
          – lio
          3 hours ago




          $begingroup$
          This is great ...
          $endgroup$
          – lio
          3 hours ago












          $begingroup$
          Do you have an idea for result2 improvement?
          $endgroup$
          – lio
          3 hours ago




          $begingroup$
          Do you have an idea for result2 improvement?
          $endgroup$
          – lio
          3 hours ago












          $begingroup$
          @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
          $endgroup$
          – MarcoB
          3 hours ago




          $begingroup$
          @lio Yes, I've added something for result2 as well. You can check that they give the same output as your result1 and result2 respectively.
          $endgroup$
          – MarcoB
          3 hours ago











          3












          $begingroup$

          r1 = Total[1 - Unitize[data1[[All, 2, 1]] - 1], 2] 

          Short @ %



          5,5,4,6,5,8,5,6,5,4,8,6,3,3,2,7,2,9,5,6,4,5,3,8,7,6,8,3,7,5,9,4,7,6,5,4,5,5,<<925>>,7,5,6,6,3,5,4,6,6,9,7,9,5,6,4,3,8,4,4,6,6,9,6,6,3,8,3,4,1,8,4,4,4,5,7,8,5




          r2 = Join @@@ Total[1 - Unitize[data2[[All, All, 2]] - 1], 4];
          r2 // Dimensions



          50, 1000







          share|improve this answer











          $endgroup$












          • $begingroup$
            Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio, please see the update.
            $endgroup$
            – kglr
            2 hours ago















          3












          $begingroup$

          r1 = Total[1 - Unitize[data1[[All, 2, 1]] - 1], 2] 

          Short @ %



          5,5,4,6,5,8,5,6,5,4,8,6,3,3,2,7,2,9,5,6,4,5,3,8,7,6,8,3,7,5,9,4,7,6,5,4,5,5,<<925>>,7,5,6,6,3,5,4,6,6,9,7,9,5,6,4,3,8,4,4,6,6,9,6,6,3,8,3,4,1,8,4,4,4,5,7,8,5




          r2 = Join @@@ Total[1 - Unitize[data2[[All, All, 2]] - 1], 4];
          r2 // Dimensions



          50, 1000







          share|improve this answer











          $endgroup$












          • $begingroup$
            Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio, please see the update.
            $endgroup$
            – kglr
            2 hours ago













          3












          3








          3





          $begingroup$

          r1 = Total[1 - Unitize[data1[[All, 2, 1]] - 1], 2] 

          Short @ %



          5,5,4,6,5,8,5,6,5,4,8,6,3,3,2,7,2,9,5,6,4,5,3,8,7,6,8,3,7,5,9,4,7,6,5,4,5,5,<<925>>,7,5,6,6,3,5,4,6,6,9,7,9,5,6,4,3,8,4,4,6,6,9,6,6,3,8,3,4,1,8,4,4,4,5,7,8,5




          r2 = Join @@@ Total[1 - Unitize[data2[[All, All, 2]] - 1], 4];
          r2 // Dimensions



          50, 1000







          share|improve this answer











          $endgroup$



          r1 = Total[1 - Unitize[data1[[All, 2, 1]] - 1], 2] 

          Short @ %



          5,5,4,6,5,8,5,6,5,4,8,6,3,3,2,7,2,9,5,6,4,5,3,8,7,6,8,3,7,5,9,4,7,6,5,4,5,5,<<925>>,7,5,6,6,3,5,4,6,6,9,7,9,5,6,4,3,8,4,4,6,6,9,6,6,3,8,3,4,1,8,4,4,4,5,7,8,5




          r2 = Join @@@ Total[1 - Unitize[data2[[All, All, 2]] - 1], 4];
          r2 // Dimensions



          50, 1000








          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited 2 hours ago

























          answered 3 hours ago









          kglrkglr

          189k10205422




          189k10205422











          • $begingroup$
            Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio, please see the update.
            $endgroup$
            – kglr
            2 hours ago
















          • $begingroup$
            Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
            $endgroup$
            – lio
            3 hours ago










          • $begingroup$
            @lio, please see the update.
            $endgroup$
            – kglr
            2 hours ago















          $begingroup$
          Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
          $endgroup$
          – lio
          3 hours ago




          $begingroup$
          Great ... what do you think about result2. Now the Indices in the result2 double loop are correct.
          $endgroup$
          – lio
          3 hours ago












          $begingroup$
          @lio, please see the update.
          $endgroup$
          – kglr
          2 hours ago




          $begingroup$
          @lio, please see the update.
          $endgroup$
          – kglr
          2 hours ago

















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