How to use zero=false in vega-lite when also using a color encoding? - vega-lite

Question

I am trying to figure out how to not have my y-axis start at zero? It works in general for me, but if I add the color encoding (see below) it is not working anymore and instead I get to see the zero.
{
"data": {"name": "d"},
"mark": {"type": "bar"},
"encoding": {
"color": {"type": "nominal", "field": "group"},
"x": {"type": "nominal", "field": "model"},
"y": {
"type": "quantitative",
"field": "inf_f1",
"scale": {"zero": false}
}
},
"$schema": "https://vega.github.io/schema/vega-lite/v4.0.2.json",
"datasets": {
"d": [
{
"model": "lr-bow",
"inf_f1": 0.7991841662090597,
"group" : "A"
},
{
"model": "fcn-bow",
"inf_f1": 0.8220151833558302,
"group" : "B"
}
]
}
}

Answer 1

The reason the scale includes zero is that bars are stacked by default, and each bar has an implicit stacked zero-height bar for the group that does not appear, but does affect the automatically chosen axis limits. You can address this by setting stack to "none" in the y encoding (view in editor):
{
"data": {"name": "d"},
"mark": {"type": "bar"},
"encoding": {
"color": {"type": "nominal", "field": "group"},
"x": {"type": "nominal", "field": "model"},
"y": {
"type": "quantitative",
"field": "inf_f1",
"stack": "none",
"scale": {"zero": false}
}
},
"datasets": {
"d": [
{"model": "lr-bow", "inf_f1": 0.7991841662090597, "group": "A"},
{"model": "fcn-bow", "inf_f1": 0.8220151833558302, "group": "B"}
]
}
}