Reputation: 128
I am attempting to set up an interactive filter of gene expression on a time-series plot. The documented method for creating this kind of filter is with select_single
bound to an input form. For smaller numbers of options, a binding_select
would work. E.g.
import altair as alt
group_dropdown = alt.binding_select(options=gene_names)
group_select = alt.selection_single(fields=['gene'], bind=group_dropdown, name='Feature', init={'gene': gene_names[0]})
filter_group = chart.add_selection(group_select).transform_filter(group_select)
However, I have ~50K genes that could be selected, so a dropdown (binding_select
) isn't really an option. A <datalist>
element would be perfect. The vega-lite docs on Input Binding imply that I should be able to use any HTML form input element, but I can't figure out the Altair class that would map to that.
Upvotes: 3
Views: 882
Reputation: 86443
This is possible, but somewhat difficult for two reasons:
<datalist>
must be injected into the chart's HTML output, and there's not a great mechanism for doing this.Here is an example of how you can work around these limitations and use a datalist within an Altair selection input binding:
from IPython.display import HTML, display
import altair as alt
from vega_datasets import data
from altair.utils.display import HTMLRenderer
from altair.utils import schemapi
datalist = """
<datalist id="origin">
<option value="USA">
<option value="Europe">
<option value="Japan">
</datalist>
"""
# Allow specifications that are invalid according to the schema.
# This prevents a validation error for the `list` argument below.
schemapi.DEBUG_MODE = False
# `list` here should match the ID of the <datalist> specification.
widget = alt.binding(input='text', name='Country', list='origin')
# now create the chart as normal:
selection = alt.selection_single(fields=['Origin'], bind=widget)
color = alt.condition(selection,
alt.Color('Origin:N', legend=None),
alt.value('lightgray'))
chart = alt.Chart(data.cars.url).mark_point().encode(
x='Horsepower:Q',
y='Miles_per_Gallon:Q',
color=color,
tooltip='Name:N'
).add_selection(
selection
)
# Note the following assumes the default renderer.
alt.renderers.enable('default')
# Render the chart to HTML without validating it against the schema:
renderer = alt.renderers.get()
html = renderer(chart.to_dict(validate=False))['text/html']
# Now display the datalist and chart rendering:
display(HTML(datalist + html))
Upvotes: 1