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index.html
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<!DOCTYPE html>
<head>
<title>Folium</title>
<meta charset="utf-8">
<link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
<style>
.pulse {
animation: pulse 2s cubic-bezier(0.4, 0, 0.6, 1) infinite;
}
@keyframes pulse {
0%, 100% {
opacity: 1;
}
20% {
opacity: .2;
}
}
</style>
<py-env>
- folium
- pandas
</py-env>
</head>
<body>
<div id="plot">
<div class="pulse" >
<p style='font-family: monospace sans-serif;'><big><big><big><big>Running PyScript, please wait...</big></big></big></big></p>
</div>
</div>
<div id="folium" style="width: 100%; height: 100%"></div>
<py-script output="folium">
import folium
import json
import pandas as pd
from pyodide.http import open_url
url = (
"https://raw.githubusercontent.com/python-visualization/folium/master/examples/data"
)
state_geo = f"{url}/us-states.json"
state_unemployment = f"{url}/US_Unemployment_Oct2012.csv"
state_data = pd.read_csv(open_url(state_unemployment))
geo_json = json.loads(open_url(state_geo).read())
m = folium.Map(location=[48, -102], zoom_start=3)
folium.Choropleth(
geo_data=geo_json,
name="choropleth",
data=state_data,
columns=["State", "Unemployment"],
key_on="feature.id",
fill_color="YlGn",
fill_opacity=0.7,
line_opacity=0.2,
legend_name="Unemployment Rate (%)",
).add_to(m)
folium.LayerControl().add_to(m)
m
</py-script>
</body>
</html>