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Using Images for Points in ListPlot

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Using Images for Points in ListPlot


Labeling plots without evaluationPlotting reordered clusters with different colors and joined linesDo/For loop for plotsPreparing 2d plots for publicationHow can we plot the complex roots of an equation?Animating a growing ListPlotCreating a custom ListPlot of consecutive pointsCombining or modifying already created plotsListplot, Plot and e function bugPlotting points using multiple colors with `ListPlot`






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








3












$begingroup$


I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:




enter image description here




Question: How can I make these points show up as images (from the web, etc) instead of as blue dots? I'd like to keep the "Callout" labels if possible, but it's not strictly necessary.






plotting







share|improve this question











$endgroup$







  • 1




    $begingroup$
    Just use PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.
    $endgroup$
    – C. E.
    9 hours ago

















3












$begingroup$


I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:




enter image description here




Question: How can I make these points show up as images (from the web, etc) instead of as blue dots? I'd like to keep the "Callout" labels if possible, but it's not strictly necessary.






plotting







share|improve this question











$endgroup$







  • 1




    $begingroup$
    Just use PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.
    $endgroup$
    – C. E.
    9 hours ago













3












3








3





$begingroup$


I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:




enter image description here




Question: How can I make these points show up as images (from the web, etc) instead of as blue dots? I'd like to keep the "Callout" labels if possible, but it's not strictly necessary.






plotting







share|improve this question











$endgroup$




I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:




enter image description here




Question: How can I make these points show up as images (from the web, etc) instead of as blue dots? I'd like to keep the "Callout" labels if possible, but it's not strictly necessary.






plotting




plotting






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 9 hours ago







George

















asked 10 hours ago









GeorgeGeorge

4331 silver badge9 bronze badges




4331 silver badge9 bronze badges







  • 1




    $begingroup$
    Just use PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.
    $endgroup$
    – C. E.
    9 hours ago












  • 1




    $begingroup$
    Just use PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.
    $endgroup$
    – C. E.
    9 hours ago







1




1




$begingroup$
Just use PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.
$endgroup$
– C. E.
9 hours ago




$begingroup$
Just use PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.
$endgroup$
– C. E.
9 hours ago










2 Answers
2






active

oldest

votes


















3












$begingroup$

Using PlotMarkers as @C.E. suggested and images from @kglr



images = Rasterize[ExampleData["TestImage", #], 
 RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";

ListPlot[Callout[0.8, 0.8, "A", Above], Callout[-0.8, -0.8, 
 "B", Above], Frame -> True, PlotMarkers -> images, 
 PlotRange -> -1.25, 1.25, -1.25, 1.25]


enter image description here






share|improve this answer









$endgroup$




















    2












    $begingroup$

    data = 1, 1, 4, 4;
    labels = "A","B";
    images = Rasterize[ExampleData["TestImage", #], 
     RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";


    Using images as plot markers (as in Rohit's answer) is the most straightforward approach. Here are a few additional ways:



    ListPlot with nested Callouts:



    You can use the image as one of multiple call-outs for each data point: 



    data2 = MapThread[Callout[Callout[#, #3, Automatic, 1, 
     LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"], #2, Center] &, 
     data, images, calloutlabels];

    ListPlot[data2, Frame -> True, Axes -> False, PlotRangePadding -> 2]


    enter image description here



    ListPlot + Callout + Labeled:



    You can use Labeled to inject the image as a label:



    data3 = MapThread[Callout[Labeled[#, #2, Center], #3, Automatic, 1, 
     LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"] &, 
     data, images, calloutlabels];

    ListPlot[data3, Frame -> True, Axes -> False, PlotRangePadding -> 2]


    enter image description here



    BubbleChart + ChartElements:



    BubbleChart[Append[#, 1]& /@ data,
     ChartElements -> images,
     ChartLabels -> Callout[labels, Above], 
     PlotRangePadding -> 1]


    enter image description here






    share|improve this answer











    $endgroup$












    • $begingroup$
      What are the advantages to this approach?
      $endgroup$
      – George
      8 hours ago










    • $begingroup$
      @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
      $endgroup$
      – kglr
      8 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









    3












    $begingroup$

    Using PlotMarkers as @C.E. suggested and images from @kglr



    images = Rasterize[ExampleData["TestImage", #], 
     RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";

    ListPlot[Callout[0.8, 0.8, "A", Above], Callout[-0.8, -0.8, 
     "B", Above], Frame -> True, PlotMarkers -> images, 
     PlotRange -> -1.25, 1.25, -1.25, 1.25]


    enter image description here






    share|improve this answer









    $endgroup$

















      3












      $begingroup$

      Using PlotMarkers as @C.E. suggested and images from @kglr



      images = Rasterize[ExampleData["TestImage", #], 
       RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";

      ListPlot[Callout[0.8, 0.8, "A", Above], Callout[-0.8, -0.8, 
       "B", Above], Frame -> True, PlotMarkers -> images, 
       PlotRange -> -1.25, 1.25, -1.25, 1.25]


      enter image description here






      share|improve this answer









      $endgroup$















        3












        3








        3





        $begingroup$

        Using PlotMarkers as @C.E. suggested and images from @kglr



        images = Rasterize[ExampleData["TestImage", #], 
         RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";

        ListPlot[Callout[0.8, 0.8, "A", Above], Callout[-0.8, -0.8, 
         "B", Above], Frame -> True, PlotMarkers -> images, 
         PlotRange -> -1.25, 1.25, -1.25, 1.25]


        enter image description here






        share|improve this answer









        $endgroup$



        Using PlotMarkers as @C.E. suggested and images from @kglr



        images = Rasterize[ExampleData["TestImage", #], 
         RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";

        ListPlot[Callout[0.8, 0.8, "A", Above], Callout[-0.8, -0.8, 
         "B", Above], Frame -> True, PlotMarkers -> images, 
         PlotRange -> -1.25, 1.25, -1.25, 1.25]


        enter image description here







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 8 hours ago









        Rohit NamjoshiRohit Namjoshi

        2,0371 gold badge4 silver badges16 bronze badges




        2,0371 gold badge4 silver badges16 bronze badges























            2












            $begingroup$

            data = 1, 1, 4, 4;
            labels = "A","B";
            images = Rasterize[ExampleData["TestImage", #], 
             RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";


            Using images as plot markers (as in Rohit's answer) is the most straightforward approach. Here are a few additional ways:



            ListPlot with nested Callouts:



            You can use the image as one of multiple call-outs for each data point: 



            data2 = MapThread[Callout[Callout[#, #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"], #2, Center] &, 
             data, images, calloutlabels];

            ListPlot[data2, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            ListPlot + Callout + Labeled:



            You can use Labeled to inject the image as a label:



            data3 = MapThread[Callout[Labeled[#, #2, Center], #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"] &, 
             data, images, calloutlabels];

            ListPlot[data3, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            BubbleChart + ChartElements:



            BubbleChart[Append[#, 1]& /@ data,
             ChartElements -> images,
             ChartLabels -> Callout[labels, Above], 
             PlotRangePadding -> 1]


            enter image description here






            share|improve this answer











            $endgroup$












            • $begingroup$
              What are the advantages to this approach?
              $endgroup$
              – George
              8 hours ago










            • $begingroup$
              @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
              $endgroup$
              – kglr
              8 hours ago















            2












            $begingroup$

            data = 1, 1, 4, 4;
            labels = "A","B";
            images = Rasterize[ExampleData["TestImage", #], 
             RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";


            Using images as plot markers (as in Rohit's answer) is the most straightforward approach. Here are a few additional ways:



            ListPlot with nested Callouts:



            You can use the image as one of multiple call-outs for each data point: 



            data2 = MapThread[Callout[Callout[#, #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"], #2, Center] &, 
             data, images, calloutlabels];

            ListPlot[data2, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            ListPlot + Callout + Labeled:



            You can use Labeled to inject the image as a label:



            data3 = MapThread[Callout[Labeled[#, #2, Center], #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"] &, 
             data, images, calloutlabels];

            ListPlot[data3, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            BubbleChart + ChartElements:



            BubbleChart[Append[#, 1]& /@ data,
             ChartElements -> images,
             ChartLabels -> Callout[labels, Above], 
             PlotRangePadding -> 1]


            enter image description here






            share|improve this answer











            $endgroup$












            • $begingroup$
              What are the advantages to this approach?
              $endgroup$
              – George
              8 hours ago










            • $begingroup$
              @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
              $endgroup$
              – kglr
              8 hours ago













            2












            2








            2





            $begingroup$

            data = 1, 1, 4, 4;
            labels = "A","B";
            images = Rasterize[ExampleData["TestImage", #], 
             RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";


            Using images as plot markers (as in Rohit's answer) is the most straightforward approach. Here are a few additional ways:



            ListPlot with nested Callouts:



            You can use the image as one of multiple call-outs for each data point: 



            data2 = MapThread[Callout[Callout[#, #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"], #2, Center] &, 
             data, images, calloutlabels];

            ListPlot[data2, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            ListPlot + Callout + Labeled:



            You can use Labeled to inject the image as a label:



            data3 = MapThread[Callout[Labeled[#, #2, Center], #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"] &, 
             data, images, calloutlabels];

            ListPlot[data3, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            BubbleChart + ChartElements:



            BubbleChart[Append[#, 1]& /@ data,
             ChartElements -> images,
             ChartLabels -> Callout[labels, Above], 
             PlotRangePadding -> 1]


            enter image description here






            share|improve this answer











            $endgroup$



            data = 1, 1, 4, 4;
            labels = "A","B";
            images = Rasterize[ExampleData["TestImage", #], 
             RasterSize -> 200, ImageSize -> 30]&/@ "Lena","Apples";


            Using images as plot markers (as in Rohit's answer) is the most straightforward approach. Here are a few additional ways:



            ListPlot with nested Callouts:



            You can use the image as one of multiple call-outs for each data point: 



            data2 = MapThread[Callout[Callout[#, #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"], #2, Center] &, 
             data, images, calloutlabels];

            ListPlot[data2, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            ListPlot + Callout + Labeled:



            You can use Labeled to inject the image as a label:



            data3 = MapThread[Callout[Labeled[#, #2, Center], #3, Automatic, 1, 
             LeaderSize -> 40, 45 Degree, 20, 20, Appearance -> "Leader"] &, 
             data, images, calloutlabels];

            ListPlot[data3, Frame -> True, Axes -> False, PlotRangePadding -> 2]


            enter image description here



            BubbleChart + ChartElements:



            BubbleChart[Append[#, 1]& /@ data,
             ChartElements -> images,
             ChartLabels -> Callout[labels, Above], 
             PlotRangePadding -> 1]


            enter image description here







            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited 3 hours ago

























            answered 8 hours ago









            kglrkglr

            204k10 gold badges233 silver badges463 bronze badges




            204k10 gold badges233 silver badges463 bronze badges











            • $begingroup$
              What are the advantages to this approach?
              $endgroup$
              – George
              8 hours ago










            • $begingroup$
              @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
              $endgroup$
              – kglr
              8 hours ago
















            • $begingroup$
              What are the advantages to this approach?
              $endgroup$
              – George
              8 hours ago










            • $begingroup$
              @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
              $endgroup$
              – kglr
              8 hours ago















            $begingroup$
            What are the advantages to this approach?
            $endgroup$
            – George
            8 hours ago




            $begingroup$
            What are the advantages to this approach?
            $endgroup$
            – George
            8 hours ago












            $begingroup$
            @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
            $endgroup$
            – kglr
            8 hours ago




            $begingroup$
            @George, the only important advantage I can think of is you can inject additional information into visualization using the third components of input data (taken as 1 for both data points in the example) that control the relative bubble sizes.
            $endgroup$
            – kglr
            8 hours ago

















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            Mentenanță CS1: Dată și anMentenanță CS1: Utilizare explicită a lui et al.IsraelȚări în Orientul MijlociuRepubliciSionismState membre ale Organizației Națiunilor Unite ebraicăarabărepublică parlamentarăOrientul MijlociuMării MediteraneLibanulSiriaIordaniaCisiordaniaEgiptFâșia GazaIerusalimTel AvivOrganizației Națiunilor Unite14 mai1948Mandatului britanic pentru PalestinaDavid Ben-GurionOrganizației SionisteAgenției Evreiești pentru PalestinaStatului IsraelONULiga ArabăpalestinieneRăzboiul arabo-israelian din 1948Conflict arabo-israelianTransiordaniaEgiptulRăzboiului de Șase ZileCisiordaniaPeninsula SinaiFâșia GazaÎnălțimile GolanBiroului Central de Statisticădruzicerchezisamariteniarmenidemocrație reprezentativăsistem parlamentarvot universalKnessetulgaze naturaleIndicelui Dezvoltării UmaneOCDEȚara I...
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            Кастелфранко ди Сопра Становништво Референце Спољашње везе Мени за навигацију43°37′18″ СГШ; 11°33′32″ ИГД / 43.62156° СГШ; 11.55885° ИГД / 43.62156; 11.5588543°37′18″ СГШ; 11°33′32″ ИГД / 43.62156° СГШ; 11.55885° ИГД / 43.62156; 11.558853179688„The GeoNames geographical database”„Istituto Nazionale di Statistica”проширитиууWorldCat156923403n850174324558639-1cb14643287r(подаци)

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