I would like to plot sth like https://vega.github.io/vega/examples/parallel-coordinates/ with altair.
In issue #382 @jakevdp suggests to use layers for a similar request, but would it be possible to elaborate a bit more on that? Or be redirected to further examples/documentation on how I could reproduce the example above? Thanks.
Have you seen this example? https://altair-viz.github.io/gallery/parallel_coordinates.html
Yes, thanks. The main difference is that I would like to have a different scale for each x coordinate, as the variables I want to plot are not necessarily homogeneous (like in the vega example above). It would be great to have an example along these lines, or a hint on how I could change the code of your example.
Ah, I see. I'm not certain that's possible in Vega-Lite. Maybe @domoritz or @kanitw would have ideas?
Yeah that鈥檚 not possible of Vega-Lite and we don鈥檛 have plan to support parallel coordinatine any time soon.
ok, thanks, I've learned vega != vega-lite! So, in matplotlib what I'm doing is normalizing each variable to be in [0,1], plot them like in the altair example, and then add x-labels below and above the plot (using also a secondary x-axis) to show the actual min and max range. How would this labelling work in altair? Thanks.
I think you can use text marks to show min - max for each axis
Thanks. With a bit of normalizing I got a result close to what desired. (see https://github.com/jackjackk/altair-parallel-coordinates/blob/master/altair-parallel-coordinates.ipynb ) Could you point me where I could find help on 1) renaming the colorbar tick labels 2) hiding the default y-tick labels 3) attempting some interactive brushing of the lines (e.g. focusing on a certain range of values for a certain variables) ?
Nice solution @jackjackk!
The problem when normalizing the data is that the data is actually changed, and using the hover tool would show the wrong/normalized data. Is there really no other solution? It's quite common (the default case maybe?) to have variables with different scales. Could be build a transformer for this?
@kanitw made a chart recently: (vega editor)
{
"data": {
"url": "data/iris.json"
},
"width": 600,
"height": 300,
"transform": [
{"window": [{"op": "count", "as": "index"}]},
{"fold": ["petalLength", "petalWidth", "sepalLength", "sepalWidth"]},
{
"window": [
{"op": "min", "field": "value", "as": "min"},
{"op": "max", "field": "value", "as": "max"}
],
"frame": [null, null],
"groupby": ["key"]
},
{
"calculate": "(datum.value - datum.min) / (datum.max-datum.min)",
"as": "norm_val"
},
{
"calculate": "(datum.min + datum.max) / 2",
"as": "mid"
}
],
"layer": [{
"mark": {"type": "rule", "color": "#ccc", "tooltip": null},
"encoding": {
"detail": {"aggregate": "count", "type": "quantitative"},
"x": {"type": "nominal", "field": "key"}
}
}, {
"selection": {
"hover":{ "type": "single", "field": "index", "on": "mouseover", "empty": "none"}
},
"mark": "line",
"encoding": {
"color": {
"condition": {"selection": "hover", "type": "nominal", "field": "species"},
"value": "grey"
},
"detail": {"type": "nominal", "field": "index"},
"opacity": {
"condition": {"selection": "hover", "value": 0.7},
"value": 0.3
},
"x": {"type": "nominal", "field": "key"},
"y": {"type": "quantitative", "field": "norm_val", "axis": null},
"tooltip": [{
"field": "petalLength"
}, {
"field": "petalWidth"
}, {
"field": "sepalLength"
}, {
"field": "sepalWidth"
}]
}
}],
"config": {
"axisX": {"domain": false, "labelAngle": 0, "tickColor": "#ccc", "title": false},
"view": {"stroke": null},
"style": {
"label": {"baseline": "middle", "align": "right", "dx": -5, "tooltip": null},
"tick": {"orient": "horizontal", "tooltip": null}
}
}
}
This is the improved version of the plot: https://stackoverflow.com/a/54701776/866989.