Making a legend into multiple columns in Altair

问题

Apologies for not being able to provide a lot of code, everything is interconnected and it's not possible right now.

My issue is I created a point chart that serves as an "interactive legend".

legend = alt.Chart(source).mark_point().encode(
    y=alt.Y('STATE', axis=alt.Axis(orient='right')),
).add_selection(
    select_state
)

The problem is that 50 states are listed. As a result the chart becomes very long and prevents everything from fitting on a single screen.

Is there any way to somehow wrap this chart so that it is shown in multiple columns? I don't think this would be possible given that the legend is a single column point chart.
Is there any way to convert this into some sort of structure in Altair that makes it possible to wrap into multiple columns that is not a chart?

Alternatively, is there a way to reposition my slider? It appears way at the bottom :( If it appeared on the top, I think it would be able to appear on the same screen as everything else and so the legend chart wouldn't be so much of an issue.

slider = alt.binding_range(min=1992, max=2016, step=1)
# 1st selection filter
select_year = alt.selection_single(name="YEAR", fields=['YEAR'],
                                   bind=slider, init={'YEAR': 1992})

回答1:

You can specify the encoding's legend.columns property to control the number of columns in the legend. For example, using the cars dataset:

import altair as alt
from vega_datasets import data

alt.Chart(data.cars.url).mark_point().encode(
    x='Horsepower:Q',
    y='Miles_per_Gallon:Q',
    color=alt.Color('Name:N', legend=alt.Legend(columns=8))
).properties(
    # Adjust chart width and height to match size of legend
    width=600,
    height=600
)

With this many attribues, though, legends become not very useful in practice. You might consider a tooltip encoding instead to surface detailed information like this.

回答2:

Check out this example:

import altair as alt
from vega_datasets import data

source = data.unemployment_across_industries.url

selection = alt.selection_multi(fields=['series'], bind='legend')

alt.Chart(source).mark_area().encode(
    alt.X('yearmonth(date):T', axis=alt.Axis(domain=False, format='%Y', tickSize=0)),
    alt.Y('sum(count):Q', stack='center', axis=None),
    alt.Color('series:N', scale=alt.Scale(scheme='category20b')),
    opacity=alt.condition(selection, alt.value(1), alt.value(0.2))
).add_selection(
selection
)

Reference: https://altair-viz.github.io/gallery/interactive_legend.html

来源：https://stackoverflow.com/questions/56758828/making-a-legend-into-multiple-columns-in-altair

标签

python

altair