Reputation: 1645
I'm trying to make the selected bars follow a different color scale, as shown below
Using this code
"color": {
"condition": {
"test": {
"and": [{"selection": "select"}, "length(data(\"select_store\"))"]
},
"field": "is_overview",
"type": "nominal",
"scale": {"range": ["red", "yellow"], "domain": [false, true]},
"legend": null
},
"field": "is_overview",
"type": "nominal",
"scale": {"range": ["blue", "#9FB3C8"], "domain": [false, true]},
"legend": null
},
But it doesn't seem to do anything.
Here is the link to full code on vega editor.
Thanks for the help!
Edit: I was able to resolve the original question based on Jake's answer, however, I ran into another issue for a variant of the code---as show here---it's basically the same idea but using a brush---would really appreciate the help!
Upvotes: 2
Views: 1539
Reputation: 86310
It's not possible to have two different encodings for a single channel: channel conditions can only switch between an encoding and a static value, or between two static values.
A way to get the behavior you want is to use a layered chart with a filter transform to overlay the alternate encoding. Here is an example (vega editor):
{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"description": "Midas Generated Visualization of dataframe STATE_distribution",
"data": {
"values": [
{"STATE": "AK", "count": 2, "is_overview": true},
{"STATE": "AL", "count": 173, "is_overview": true},
{"STATE": "AR", "count": 63, "is_overview": true},
{"STATE": "AZ", "count": 193, "is_overview": true},
{"STATE": "CA", "count": 373, "is_overview": true},
{"STATE": "CO", "count": 152, "is_overview": true},
{"STATE": "FL", "count": 139, "is_overview": true},
{"STATE": "AK", "count": 1, "is_overview": false},
{"STATE": "AL", "count": 73, "is_overview": false},
{"STATE": "AR", "count": 23, "is_overview": false},
{"STATE": "AZ", "count": 93, "is_overview": false},
{"STATE": "CA", "count": 73, "is_overview": false},
{"STATE": "CO", "count": 52, "is_overview": false},
{"STATE": "FL", "count": 39, "is_overview": false}
]
},
"encoding": {
"x": {"field": "STATE", "type": "ordinal"},
"y": {"field": "count", "type": "quantitative", "stack": null},
"opacity": {"value": 0.5},
"stroke": {"value": "#F0B429"}
},
"layer": [
{
"mark": "bar",
"encoding": {
"color": {
"field": "is_overview",
"type": "nominal",
"scale": {"range": ["blue", "#9FB3C8"], "domain": [false, true]},
"legend": null
},
"strokeWidth": {"value": 0}
},
"selection": {
"select": {"type": "multi", "encodings": ["x"], "empty": "none"}
}
},
{
"mark": "bar",
"transform": [{"filter": {"selection": "select"}}],
"encoding": {
"color": {
"field": "is_overview",
"type": "nominal",
"scale": {"range": ["red", "yellow"], "domain": [false, true]},
"legend": null
},
"strokeWidth": {"value": 3}
}
}
],
"resolve": {"scale": {"color": "independent"}}
}
Upvotes: 3