ListPlot from Table of single input x and many y(x) output












3












$begingroup$


Suppose have data for several x and several y(x), for example



mydata = {{11, 1.1, 2.3, 2.4}, {12, 1.3, 1.4, 1.9}, {13, 1.8, 1.7, 1.2}}

mydata // MatrixForm


So



for x=11, have y(x)= 1.1, 2.3 and 2.4



for x=12, have y(x)= 1.3, 1.4 and 1.9



for x=13, have y(x)= 1.8, 1.7 and 1.2



How to do list plot for many y(x) as function of x?



Use of 



ListPlot[mydata]


is no working.






plotting list-manipulation table







share|improve this question











$endgroup$








  • 1




    $begingroup$
    Related: (21884), (47038)
    $endgroup$
    – Mr.Wizard♦
    Jan 11 at 12:38
















3












$begingroup$


Suppose have data for several x and several y(x), for example



mydata = {{11, 1.1, 2.3, 2.4}, {12, 1.3, 1.4, 1.9}, {13, 1.8, 1.7, 1.2}}

mydata // MatrixForm


So



for x=11, have y(x)= 1.1, 2.3 and 2.4



for x=12, have y(x)= 1.3, 1.4 and 1.9



for x=13, have y(x)= 1.8, 1.7 and 1.2



How to do list plot for many y(x) as function of x?



Use of 



ListPlot[mydata]


is no working.






plotting list-manipulation table







share|improve this question











$endgroup$








  • 1




    $begingroup$
    Related: (21884), (47038)
    $endgroup$
    – Mr.Wizard♦
    Jan 11 at 12:38














3












3








3


1



$begingroup$


Suppose have data for several x and several y(x), for example



mydata = {{11, 1.1, 2.3, 2.4}, {12, 1.3, 1.4, 1.9}, {13, 1.8, 1.7, 1.2}}

mydata // MatrixForm


So



for x=11, have y(x)= 1.1, 2.3 and 2.4



for x=12, have y(x)= 1.3, 1.4 and 1.9



for x=13, have y(x)= 1.8, 1.7 and 1.2



How to do list plot for many y(x) as function of x?



Use of 



ListPlot[mydata]


is no working.






plotting list-manipulation table







share|improve this question











$endgroup$




Suppose have data for several x and several y(x), for example



mydata = {{11, 1.1, 2.3, 2.4}, {12, 1.3, 1.4, 1.9}, {13, 1.8, 1.7, 1.2}}

mydata // MatrixForm


So



for x=11, have y(x)= 1.1, 2.3 and 2.4



for x=12, have y(x)= 1.3, 1.4 and 1.9



for x=13, have y(x)= 1.8, 1.7 and 1.2



How to do list plot for many y(x) as function of x?



Use of 



ListPlot[mydata]


is no working.






plotting list-manipulation table




plotting list-manipulation table






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 11 at 14:48







Nigel1

















asked Jan 11 at 11:57









Nigel1Nigel1

1976




1976








  • 1




    $begingroup$
    Related: (21884), (47038)
    $endgroup$
    – Mr.Wizard♦
    Jan 11 at 12:38














  • 1




    $begingroup$
    Related: (21884), (47038)
    $endgroup$
    – Mr.Wizard♦
    Jan 11 at 12:38








1




1




$begingroup$
Related: (21884), (47038)
$endgroup$
– Mr.Wizard♦
Jan 11 at 12:38




$begingroup$
Related: (21884), (47038)
$endgroup$
– Mr.Wizard♦
Jan 11 at 12:38










3 Answers
3






active

oldest

votes


















4












$begingroup$

mydata2 = Thread[{First@#, Rest@#}] & /@ mydata;

ListPlot[mydata2]


enter image description here






share|improve this answer









$endgroup$





















    4












    $begingroup$

    mydata2 = Map[(mydata[[All, {1, #}]]) &, Range[2, Last@Dimensions@mydata]];
    
ListPlot[mydata2, Joined -> True]


    enter image description here






    share|improve this answer









    $endgroup$









    • 2




      $begingroup$
      Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
      $endgroup$
      – Andreas Rejbrand
      Jan 11 at 13:11





















    2












    $begingroup$

    Not applicable to all data, but in this case DataRange appears useful:



    ListLinePlot[mydata[Transpose][[2 ;;]], DataRange -> {11, 13}]


    enter image description here






    share|improve this answer









    $endgroup$













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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      4












      $begingroup$

      mydata2 = Thread[{First@#, Rest@#}] & /@ mydata;
      
ListPlot[mydata2]


      enter image description here






      share|improve this answer









      $endgroup$


















        4












        $begingroup$

        mydata2 = Thread[{First@#, Rest@#}] & /@ mydata;
        
ListPlot[mydata2]


        enter image description here






        share|improve this answer









        $endgroup$
















          4












          4








          4





          $begingroup$

          mydata2 = Thread[{First@#, Rest@#}] & /@ mydata;
          
ListPlot[mydata2]


          enter image description here






          share|improve this answer









          $endgroup$



          mydata2 = Thread[{First@#, Rest@#}] & /@ mydata;
          
ListPlot[mydata2]


          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Jan 11 at 12:00









          kglrkglr

          182k10200415




          182k10200415























              4












              $begingroup$

              mydata2 = Map[(mydata[[All, {1, #}]]) &, Range[2, Last@Dimensions@mydata]];
              
ListPlot[mydata2, Joined -> True]


              enter image description here






              share|improve this answer









              $endgroup$









              • 2




                $begingroup$
                Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
                $endgroup$
                – Andreas Rejbrand
                Jan 11 at 13:11


















              4












              $begingroup$

              mydata2 = Map[(mydata[[All, {1, #}]]) &, Range[2, Last@Dimensions@mydata]];
              
ListPlot[mydata2, Joined -> True]


              enter image description here






              share|improve this answer









              $endgroup$









              • 2




                $begingroup$
                Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
                $endgroup$
                – Andreas Rejbrand
                Jan 11 at 13:11
















              4












              4








              4





              $begingroup$

              mydata2 = Map[(mydata[[All, {1, #}]]) &, Range[2, Last@Dimensions@mydata]];
              
ListPlot[mydata2, Joined -> True]


              enter image description here






              share|improve this answer









              $endgroup$



              mydata2 = Map[(mydata[[All, {1, #}]]) &, Range[2, Last@Dimensions@mydata]];
              
ListPlot[mydata2, Joined -> True]


              enter image description here







              share|improve this answer












              share|improve this answer



              share|improve this answer










              answered Jan 11 at 12:08









              RMMARMMA

              1,41011230




              1,41011230








              • 2




                $begingroup$
                Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
                $endgroup$
                – Andreas Rejbrand
                Jan 11 at 13:11
















              • 2




                $begingroup$
                Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
                $endgroup$
                – Andreas Rejbrand
                Jan 11 at 13:11










              2




              2




              $begingroup$
              Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
              $endgroup$
              – Andreas Rejbrand
              Jan 11 at 13:11






              $begingroup$
              Notice how your image is very similar to Mr.Wizard's image. Still, you image somehow appears to be of lower visual quality; it looks 'fuzzy' or something. Why is that? Well, this is because you saved it as a JPG image. JPG works well with photographic images, but introduces artefacts in illustrations, diagrams, screenshots, etc. For this kind of images, PNG is the ideal choice! :)
              $endgroup$
              – Andreas Rejbrand
              Jan 11 at 13:11













              2












              $begingroup$

              Not applicable to all data, but in this case DataRange appears useful:



              ListLinePlot[mydata[Transpose][[2 ;;]], DataRange -> {11, 13}]


              enter image description here






              share|improve this answer









              $endgroup$


















                2












                $begingroup$

                Not applicable to all data, but in this case DataRange appears useful:



                ListLinePlot[mydata[Transpose][[2 ;;]], DataRange -> {11, 13}]


                enter image description here






                share|improve this answer









                $endgroup$
















                  2












                  2








                  2





                  $begingroup$

                  Not applicable to all data, but in this case DataRange appears useful:



                  ListLinePlot[mydata[Transpose][[2 ;;]], DataRange -> {11, 13}]


                  enter image description here






                  share|improve this answer









                  $endgroup$



                  Not applicable to all data, but in this case DataRange appears useful:



                  ListLinePlot[mydata[Transpose][[2 ;;]], DataRange -> {11, 13}]


                  enter image description here







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Jan 11 at 12:46









                  Mr.Wizard♦Mr.Wizard

                  231k294761046




                  231k294761046






























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