Display HTML, SVG, and D3 visualizations in notebooks

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In this tutorial, you use the displayHTML function to render HTML, SVG, and D3 visualizations in Azure 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 Azure Databricks workspace.
  • A notebook attached to compute.

Display HTML code

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

Display SVG visualizations

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/.

# 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)]


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

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