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08f34f748b
* Apply prettier to css, js, html, md, ts, and yml As a followup I will add prettier to the .pre-commit config. This patch is 100% generated by prettier. I used a forked version of prettier that understands the py-script tag. See https://github.com/hoodmane/pyscript-prettier-precommit for more info. * Apply old pre-commit * Revert some problems * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Revert some changes * More changes * Fix pre-commit * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
70 lines
2.0 KiB
HTML
70 lines
2.0 KiB
HTML
<html>
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<head>
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<title>Folium</title>
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<meta charset="utf-8" />
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<link rel="icon" type="image/x-icon" href="./favicon.png" />
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<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
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<script defer src="https://pyscript.net/latest/pyscript.js"></script>
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<link rel="stylesheet" href="./assets/css/examples.css" />
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</head>
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<body>
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<nav class="navbar" style="background-color: #000000">
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<div class="app-header">
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<a href="/">
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<img src="./logo.png" class="logo" />
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</a>
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<a class="title" href="" style="color: #f0ab3c">Folium</a>
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</div>
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</nav>
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<section class="pyscript">
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<div id="folium"></div>
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<py-tutor>
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<py-config>
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packages = [
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"folium",
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"pandas"
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]
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plugins = [
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"../build/plugins/python/py_tutor.py"
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]
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</py-config>
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<py-script>
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import folium
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import json
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import pandas as pd
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from pyodide.http import open_url
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url = (
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"https://raw.githubusercontent.com/python-visualization/folium/master/examples/data"
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)
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state_geo = f"{url}/us-states.json"
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state_unemployment = f"{url}/US_Unemployment_Oct2012.csv"
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state_data = pd.read_csv(open_url(state_unemployment))
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geo_json = json.loads(open_url(state_geo).read())
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m = folium.Map(location=[48, -102], zoom_start=3)
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folium.Choropleth(
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geo_data=geo_json,
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name="choropleth",
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data=state_data,
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columns=["State", "Unemployment"],
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key_on="feature.id",
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fill_color="YlGn",
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fill_opacity=0.7,
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line_opacity=0.2,
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legend_name="Unemployment Rate (%)",
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).add_to(m)
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folium.LayerControl().add_to(m)
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display(m, target="folium")
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</py-script>
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</py-tutor>
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</section>
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</body>
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</html>
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