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"""
Connections Among U.S. Airports Interactive
-------------------------------------------
This example shows all the connections between major U.S. airports. Lookup transformations
are used to find the coordinates of each airport and connecting airports. Connections
are displayed on mouseover via a single selection.
"""
# category: case studies
import altair as alt
from vega_datasets import data
# Since these data are each more than 5,000 rows we'll import from the URLs
airports = data.airports.url
flights_airport = data.flights_airport.url
states = alt.topo_feature(data.us_10m.url, feature="states")
# Create mouseover selection
select_city = alt.selection_single(
on="mouseover", nearest=True, fields=["origin"], empty="none"
)
# Define which attributes to lookup from airports.csv
lookup_data = alt.LookupData(
airports, key="iata", fields=["state", "latitude", "longitude"]
)
background = alt.Chart(states).mark_geoshape(
fill="lightgray",
stroke="white"
).properties(
width=750,
height=500
).project("albersUsa")
connections = alt.Chart(flights_airport).mark_rule(opacity=0.35).encode(
latitude="latitude:Q",
longitude="longitude:Q",
latitude2="lat2:Q",
longitude2="lon2:Q"
).transform_lookup(
lookup="origin",
from_=lookup_data
).transform_lookup(
lookup="destination",
from_=lookup_data,
as_=["state", "lat2", "lon2"]
).transform_filter(
select_city
)
points = alt.Chart(flights_airport).mark_circle().encode(
latitude="latitude:Q",
longitude="longitude:Q",
size=alt.Size("routes:Q", scale=alt.Scale(range=[0, 1000]), legend=None),
order=alt.Order("routes:Q", sort="descending"),
tooltip=["origin:N", "routes:Q"]
).transform_aggregate(
routes="count()",
groupby=["origin"]
).transform_lookup(
lookup="origin",
from_=lookup_data
).transform_filter(
(alt.datum.state != "PR") & (alt.datum.state != "VI")
).add_selection(
select_city
)
(background + connections + points).configure_view(stroke=None)
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