0.13.1
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Plotting

Whilst there are scala plotting libraries, here is a pragmatic, flexible workflow without them. Play each part of the stack to it's strengths - use the vega editor to get your "spec" right, then scala to obatin and pipe the data into the spec. Any JSON library would do...

Sketch

  1. Wheel in javascript to obtain vega(-lite) embed
  2. Customise spec on vega webiste using "fake" dataset
  3. Inject data into spec
  4. Display

Code

Cell 1 - embed libraries

Javascript(
"""var script = document.createElement('script'); script.type = 'text/javascript'; script.src = '//cdn.jsdelivr.net/npm/vega@5'; document.head.appendChild(script); var script = document.createElement('script'); script.type = 'text/javascript'; script.src = '//cdn.jsdelivr.net/npm/vega-embed@6'; document.head.appendChild(script); """)

Cell 2 - get spec, overwrite with custom data

import $ivy.`com.lihaoyi::ujson:1.3.12`
import $ivy.`com.lihaoyi::requests:0.6.5`
val spec = ujson.read(requests.get("https://vega.github.io/vega/examples/bar-chart.vg.json").text)

spec("data")(0)("values") = ujson.Arr(
  ujson.Obj("category" -> "Epic", "amount" -> 50),
  ujson.Obj("category" -> "amounts", "amount" -> 100)
)

Cell 3 - Display

Javascript(s""" vegaEmbed(element, $spec).then(function(result) { }).catch(console.error) """)
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