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"""
Scatter Plot with Minimap
-------------------------
This example shows how to create a miniature version of a plot
such that creating a selection in the miniature version
adjusts the axis limits in another, more detailed view.
"""
# category: scatter plots
import altair as alt
from vega_datasets import data
source = data.seattle_weather()
zoom = alt.selection_interval(encodings=["x", "y"])
minimap = (
alt.Chart(source)
.mark_point()
.add_selection(zoom)
.encode(
x="date:T",
y="temp_max:Q",
color=alt.condition(zoom, "weather", alt.value("lightgray")),
)
.properties(
width=200,
height=200,
title="Minimap -- click and drag to zoom in the detail view",
)
)
detail = (
alt.Chart(source)
.mark_point()
.encode(
x=alt.X(
"date:T", scale=alt.Scale(domain={"selection": zoom.name, "encoding": "x"})
),
y=alt.Y(
"temp_max:Q",
scale=alt.Scale(domain={"selection": zoom.name, "encoding": "y"}),
),
color="weather",
)
.properties(width=600, height=400, title="Seattle weather -- detail view")
)
detail | minimap
|
