Files
pyscript/examples/folium.html
2023-08-10 22:42:01 +02:00

82 lines
2.7 KiB
HTML

<html>
<head>
<title>Folium</title>
<meta charset="utf-8" />
<link rel="icon" type="image/x-icon" href="./favicon.png" />
<link
rel="stylesheet"
href="https://pyscript.net/latest/pyscript.css"
/>
<link rel="stylesheet" href="./assets/css/examples.css" />
<style>
py-script {
display: none;
}
</style>
<script
type="module"
src="https://esm.sh/@pyscript/core@latest/core.js"
></script>
</head>
<body>
<nav class="navbar" style="background-color: #000000">
<div class="app-header">
<a href="/">
<img src="./logo.png" class="logo" />
</a>
<a class="title" href="" style="color: #f0ab3c">Folium</a>
</div>
</nav>
<section class="pyscript">
<div id="folium"></div>
<py-tutor>
<py-config>
packages = [
"folium",
"pandas"
]
plugins = [
"https://pyscript.net/latest/plugins/python/py_tutor.py"
]
</py-config>
<py-script>
from pyscript import display
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)
display(m, target="folium")
</py-script>
</py-tutor>
</section>
</body>
</html>