Using Images for Points in ListPlotLabeling 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`
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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;
$begingroup$
I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:
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
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
$endgroup$
add a comment |
$begingroup$
I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:
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
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
$endgroup$
1
$begingroup$
Just usePlotMarkerslike you normally would. There are examples in the documentation forPlotMarkerswhere they use images.
$endgroup$
– C. E.
Jul 12 at 18:00
add a comment |
$begingroup$
I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:
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
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
$endgroup$
I'm using ListPlot to label a sequence of ordered pairs in $[-1,1] times [-1,1]$:
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
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
edited Jul 12 at 18:00
George
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
asked Jul 12 at 17:52
GeorgeGeorge
5081 silver badge9 bronze badges
5081 silver badge9 bronze badges
1
$begingroup$
Just usePlotMarkerslike you normally would. There are examples in the documentation forPlotMarkerswhere they use images.
$endgroup$
– C. E.
Jul 12 at 18:00
add a comment |
1
$begingroup$
Just usePlotMarkerslike you normally would. There are examples in the documentation forPlotMarkerswhere they use images.
$endgroup$
– C. E.
Jul 12 at 18:00
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.
Jul 12 at 18:00
$begingroup$
Just use
PlotMarkers like you normally would. There are examples in the documentation for PlotMarkers where they use images.$endgroup$
– C. E.
Jul 12 at 18:00
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
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]
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
$endgroup$
add a comment |
$begingroup$
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]
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]
BubbleChart + ChartElements:
BubbleChart[Append[#, 1]& /@ data,
ChartElements -> images,
ChartLabels -> Callout[labels, Above],
PlotRangePadding -> 1]
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
$endgroup$
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
@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
Jul 12 at 19:29
add a comment |
Your Answer
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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]
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
$endgroup$
add a comment |
$begingroup$
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]
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
$endgroup$
add a comment |
$begingroup$
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]
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
$endgroup$
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]
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
answered Jul 12 at 19:44
Rohit NamjoshiRohit Namjoshi
2,1491 gold badge4 silver badges16 bronze badges
2,1491 gold badge4 silver badges16 bronze badges
add a comment |
add a comment |
$begingroup$
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]
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]
BubbleChart + ChartElements:
BubbleChart[Append[#, 1]& /@ data,
ChartElements -> images,
ChartLabels -> Callout[labels, Above],
PlotRangePadding -> 1]
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
$endgroup$
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
@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
Jul 12 at 19:29
add a comment |
$begingroup$
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]
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]
BubbleChart + ChartElements:
BubbleChart[Append[#, 1]& /@ data,
ChartElements -> images,
ChartLabels -> Callout[labels, Above],
PlotRangePadding -> 1]
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
$endgroup$
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
@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
Jul 12 at 19:29
add a comment |
$begingroup$
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]
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]
BubbleChart + ChartElements:
BubbleChart[Append[#, 1]& /@ data,
ChartElements -> images,
ChartLabels -> Callout[labels, Above],
PlotRangePadding -> 1]
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
$endgroup$
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]
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]
BubbleChart + ChartElements:
BubbleChart[Append[#, 1]& /@ data,
ChartElements -> images,
ChartLabels -> Callout[labels, Above],
PlotRangePadding -> 1]
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
edited Jul 13 at 0:39
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
answered Jul 12 at 19:18
kglrkglr
206k10 gold badges235 silver badges467 bronze badges
206k10 gold badges235 silver badges467 bronze badges
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
@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
Jul 12 at 19:29
add a comment |
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
@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
Jul 12 at 19:29
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
What are the advantages to this approach?
$endgroup$
– George
Jul 12 at 19:20
$begingroup$
@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
Jul 12 at 19:29
$begingroup$
@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
Jul 12 at 19:29
add a comment |
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1
$begingroup$
Just use
PlotMarkerslike you normally would. There are examples in the documentation forPlotMarkerswhere they use images.$endgroup$
– C. E.
Jul 12 at 18:00