Display HTML, SVG, and D3 visualizations in Scala notebooks
In this tutorial, you use the displayHTML function to render HTML, SVG, and D3 visualizations in Databricks Scala notebooks.
note
- The maximum size for a notebook cell, including contents and output, is 16MB. Make sure that the size of the HTML you pass to the
displayHTMLfunction does not exceed this value. - When linking to external resources, use
https://instead ofhttp://. Otherwise, graphics, images, or JavaScript might not render correctly due to mixed content errors.
Prerequisites
- Access to a Databricks workspace.
- A notebook attached to compute.
Display HTML code
Scala
displayHTML("<h3>You can view HTML code in notebooks.</h3>")
Display SVG visualizations
Scala
displayHTML("""<svg width="100" height="100">
<circle cx="50" cy="50" r="40" stroke="green" stroke-width="4" fill="yellow" />
Sorry, your browser does not support inline SVG.
</svg>""")
Display D3 visualizations with displayHTML
You can generate D3 visualization HTML dynamically from Scala data structures.
Find out more about D3 at https://d3js.org/.
Scala
// Change these colors to your favorites to change the D3 visualization.
val colors = Array((197, 27, 125), (222, 119, 174), (241, 182, 218), (253, 244, 239), (247, 247, 247), (230, 245, 208), (184, 225, 134), (127, 188, 65), (77, 146, 33))
Scala
displayHTML(s"""
<!DOCTYPE html>
<meta charset="utf-8">
<style>
path {
fill: yellow;
stroke: #000;
}
circle {
fill: #fff;
stroke: #000;
pointer-events: none;
}
.PiYG .q0-9{fill:rgb${colors(0)}}
.PiYG .q1-9{fill:rgb${colors(1)}}
.PiYG .q2-9{fill:rgb${colors(2)}}
.PiYG .q3-9{fill:rgb${colors(3)}}
.PiYG .q4-9{fill:rgb${colors(4)}}
.PiYG .q5-9{fill:rgb${colors(5)}}
.PiYG .q6-9{fill:rgb${colors(6)}}
.PiYG .q7-9{fill:rgb${colors(7)}}
.PiYG .q8-9{fill:rgb${colors(8)}}
</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
var width = 960,
height = 500;
var vertices = d3.range(100).map(function(d) {
return [Math.random() * width, Math.random() * height];
});
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.attr("class", "PiYG")
.on("mousemove", function() { vertices[0] = d3.mouse(this); redraw(); });
var path = svg.append("g").selectAll("path");
svg.selectAll("circle")
.data(vertices.slice(1))
.enter().append("circle")
.attr("transform", function(d) { return "translate(" + d + ")"; })
.attr("r", 2);
redraw();
function redraw() {
path = path.data(d3.geom.delaunay(vertices).map(function(d) { return "M" + d.join("L") + "Z"; }), String);
path.exit().remove();
path.enter().append("path").attr("class", function(d, i) { return "q" + (i % 9) + "-9"; }).attr("d", String);
}
</script>
""")
Next steps
- Visualizations in Databricks notebooks and SQL editor
- Notebook and SQL editor visualization types
- Databricks notebooks