Allow VegaLite visualizations to be displayed directly in Jupyter notebooks or Jupyter Lab. For the moment they are handled separately, in that the Jupyter Lab version requires use of the vlShow routine.

Jupyter Lab can be installed with nix using the jupyterWith setup.

Example

If we have the following Vega-Lite definition:

{-# language OverloadedStrings #-}

import Graphics.Vega.VegaLite

vl1 = toVegaLite [description desc, background "white", dat [], mark Bar barOpts, enc []] where
    desc = "A very exciting bar chart"

    dat = dataFromRows [Parse [("start", FoDate "%Y-%m-%d")]]
          . dataRow [("start", Str "2011-03-25"), ("count", Number 23)]
          . dataRow [("start", Str "2011-04-02"), ("count", Number 45)]
          . dataRow [("start", Str "2011-04-12"), ("count", Number 3)]

    barOpts = [MOpacity 0.4, MColor "teal"]

    enc = encoding
          . position X [PName "start", PmType Temporal, PAxis [AxTitle "Inception date"]]
          . position Y [PName "count", PmType Quantitative]

then it can be displayed automatically in Jupyter Lab by

vlShow vl1

where vlShow should be imported automatically by IHaskell.