I'm working on a project for a class where I've been creating faceted scatterplots in Altair where each chart is a different type of food. I was wondering if it would be possible to still use these faceted charts but only display one at a time and give the user the ability to toggle between graphs instead of having each graph displayed one after the other? Here is a rough diagram of what I'm trying to do and here's the code I have now (and what the output looks like at the moment):
import altair as alt
from vega_datasets import data
hover = alt.selection_single(on='mouseover', nearest=True, empty='none')
base = alt.Chart("Food Nutrition Info Compiled.csv").encode(
x='Energ_Kcal:N',
y='Water_(g):Q',
color=alt.condition(hover, 'Type:N', alt.value('lightgray'))
).properties(
width=180,
height=180,
)
points = base.mark_point().add_selection(
hover
)
text = base.mark_text(dy=-5).encode(
text = 'Shrt_Desc:N',
opacity = alt.condition(hover, alt.value(1), alt.value(0))
)
alt.layer(points, text).facet(
'Type:N',
)
Thanks and I hope this makes sense!
Displaying one faceted chart at a time sounds the same as showing a single subset of the data at any one point. This is currently possible by creating a selection that is bound to e.g. a dropdown and the using that with transform_filter
:
import altair as alt
from vega_datasets import data
source = data.cars()
dropdown_options = source['Origin'].unique().tolist()
dropdown = alt.binding_select(
options=dropdown_options,
name='Origin '
)
selection = alt.selection_multi(
fields=['Origin'],
value=[{'Origin': dropdown_options[0]}],
bind=dropdown
)
alt.Chart(source).mark_circle().encode(
x=alt.X('Weight_in_lbs:Q', title=''),
y='Horsepower',
color='Origin',
).add_selection(
selection
).transform_filter(
selection
)