babyplots

Easy, fast, interactive 3D plots for data exploration and presentation.

surface

point cloud

heat map

shape cloud

image stack

Create babyplots in JavaScript, R, Python or interactively!

And integrate fully interactive babyplots in PowerPoint slides!

        R:
        surf <- surface(coordinates, "values", colors, turntable = TRUE, colorScale = "Viridis")
surf + surface(-coordinates, "values", colors, showLegend = FALSE, colorScale = "Viridis")
      

        JavaScript:
        var vis = new Baby.Plots("exampleCanvas", {backgroundColor: "#efefefff", turntable = true});
vis.addPlot(coordinates, "surface", "values", colors, {colorScale: "Viridis", showLegend: true});
vis.addPlot(coordinatesFlipped, "surface", "values", colors, {colorScale: "Viridis"});
vis.doRender();  
      

        Python:
        bp = Babyplot(background_color="#efefefff", turntable=True)
bp.add_plot(coordinates, "surface", "values", colors, {"colorScale": "Viridis", "showLegend": True})
bp.add_plot(coodinatesFlipped, "surface", "values", colors, {"colorScale": "Viridis"})
bp
      

        R:
        pointCloud(coordinates, "categories", clusters, colorScale = "Dark2", turntable = T)
      

        JavaScript:
        var vis = new Baby.Plots("exampleCanvas", {backgroundColor: "#ffffddff", turntable: true});
vis.addPlot(coordinates, "pointCloud", "categories", clusters, {colorScale: "Dark2"});
vis.doRender();
      

        Python:
        bp = Babyplot(background_color="#ffffddff", turntable=True)
bp.add_plot(coordinates, "pointCloud", "categories", clusters, {"colorScale": "Dark2"}
bp
      

        R:
        heatMap(coordinates, "values", colors, colorScale = "OrRd", turntable = T, rotationRate = -0.01,
showLegend = F, showAxes = T, tickBreaks = c(1, 40, 1), axisLabels = c("", "Height", "Age"))
      

        JavaScript:
        var vis = new Baby.Plots("exampleCanvas");
vis.fromJSON(heatMapData); // import saved plot
vis.doRender();
      

        Python:
        bp = Babyplot(turntable=True, rotation_rate=-0.01)
bp.add_plot(coordinates, "heatMap", "values", colors, {"colorScale": "OrRd",
                                                       "showAxes": [True, True, True],
                                                       "tickBreaks": [1, 40, 1],
                                                       "axisLabels": ["", "Height", "Age"]})
bp
      

        R:
        imgStack("RGB.tif", threshold = 0.3, turntable = T)
      

        JavaScript:
        var vis = new Baby.Plots("exampleCanvas", {backgroundColor: "#000000ff", turntable: true});
vis.addImgStack(values, indices, attributes);
vis.doRender()
      

        Python:
        bp = Babyplot(background_color="000000ff", turntable=True)
bp.add_tiff("RGB.tif", threshold = 0.3)
bp
      

        R:
        plot <- shapeCloud(coordinate1s, "values", values1, shape = "box", colorScale = "Oranges", dpInfo = information1)
plot + shapeCloud(coordinates2, "values", values2, shape = "sphere", colorScale = "Purples", dpInfo = information2)
      

        JavaScript:
        var vis = new Baby.Plots("exampleCanvas", {backgroundColor: "#444444ff"});
vis.addPlot(coordinates1, "shapeCloud", "values", values1, {colorScale: "Oranges", shape: "box", dpInfo: information1});
vis.addPlot(coordinates2, "shapeCloud", "values", values2, {colorScale: "Purples", shape: "sphere", dpInfo: information2});
vis.doRender();
      

        Python:
        bp = Babyplot(background_color="#444444ff")
bp.add_plot(coordinates1, "shapeCloud", "values", values1, {"colorScale": "Oranges", "shape": "box", "dpInfo": information1})
bp.add_plot(coordinates2, "shapeCloud", "values", values2, {"colorScale": "Purples", "shape": "sphere", "dpInfo": information2})
bp
      

News

babyplots library version 1.5.0 released

March 29th, 2021

We are excited to announce the release of version 1.5.0 of the babyplots library and the corresponding versions of the babyplots R and Python implementations.

This version brings a new visualization type to babyplots: line. Lines are 3-dimensional continuous lines that are described by the x, y and z coordinates of the points along the line. Each point can also have a color variable which is interpolated along the line connecting the points. Additionally, labels can be added alongside the points of the line.

You can check out an example of a line in combination with a point cloud in this recent Tweet about the word guessing game "Semantle".

Find the documentation on the new plot type here:

babyplots library version 1.4.0 released

January 12th, 2021

We are happy to announce the release of version 1.4.0 of the babyplots library and the corresponding versions of the babyplots R and Python implementations.

This version brings a new visualization type to babyplots: meshObject. The meshObject allows you to add 3D models, or scenes of multiple 3D objects to your babyplots visualization using the glTF format.

Check out the documentation here:

abyplots

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Documentation

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Easy, fast, interactive 3D plots for data exploration and presentation.

Create babyplots in JavaScript, R, Python or interactively!

And integrate fully interactive babyplots in PowerPoint slides!

R:

JavaScript:

Python:

R:

JavaScript:

Python:

R:

JavaScript:

Python:

R:

JavaScript:

Python:

R:

JavaScript:

Python:

News

babyplots library version 1.5.0 released

babyplots library version 1.4.0 released