Skip to main content
Unlisted page
This page is unlisted. Search engines will not index it, and only users having a direct link can access it.
Last updated on

Display HTML, SVG, and D3 visualizations in notebooks

In this tutorial, you use the displayHTML function to render HTML, SVG, and D3 visualizations in Databricks 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 displayHTML function does not exceed this value.
  • When linking to external resources, use https:// instead of http://. 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​

Python
displayHTML("<h3>You can view HTML code in notebooks.</h3>")

Display SVG visualizations​

Python
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 Python data structures.

Find out more about D3 at https://d3js.org/.

Python
# Change these colors to your favorites to change the D3 visualization.
colors = [(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)]

Python
htmlCode = """
<!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{colorArray[0]}}}
.PiYG .q1-9{{fill:rgb{colorArray[1]}}}
.PiYG .q2-9{{fill:rgb{colorArray[2]}}}
.PiYG .q3-9{{fill:rgb{colorArray[3]}}}
.PiYG .q4-9{{fill:rgb{colorArray[4]}}}
.PiYG .q5-9{{fill:rgb{colorArray[5]}}}
.PiYG .q6-9{{fill:rgb{colorArray[6]}}}
.PiYG .q7-9{{fill:rgb{colorArray[7]}}}
.PiYG .q8-9{{fill:rgb{colorArray[7]}}}

</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>

width = 960, height = 500;

vertices = d3.range(100).map(function(d) {{
  return [Math.random() * width, Math.random() * height];
}});

svg = d3.select("body").append("svg")
    .attr("width", width)
    .attr("height", height)
    .attr("class", "PiYG")
    .on("mousemove", function() {{ vertices[0] = d3.mouse(this); redraw(); }});

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>
 """.format(colorArray = colors)
displayHTML (htmlCode)

Next steps​

Example notebook​

Display HTML, SVG, and D3 visualizations in notebooks

Open notebook in new tab
On this page