A minimal vega plot in jupyter notebook

As a proof-of-principle, let’s recreate the very first plot we made in the VegaLite tutorial: the simple barchart.

Loading the necessary libraries

First things first: loading the necessary libraries. Make sure that these are installed first (see the previous step).

from vega import Vega

At this point we won’t need panel and/or param yet.

Creating the specification

We’ll just put the whole specification in a variable that we call spec.

spec = {
    "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
    "description": "A simple bar chart with embedded data.",
    "data": {
      "values": [
        {"a": "A", "b": 28},
        {"a": "B", "b": 55},
        {"a": "C", "b": 43},
        {"a": "D", "b": 91}
      ]
    },
    "mark": "bar",
    "encoding": {
      "x": {"field": "b", "type": "quantitative"},
      "y": {"field": "a", "type": "nominal"}
    }
  }

Drawing the visualisation

And finally we call the Vega() function, passing it the spec as an argument.

Vega(spec)

This will give you the actual plot.