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9a908e5fd0
* upgrade to pyodide 0.22.1 * pin bokeh in panel examples * fix typo * fix tests by using custom bokeh wheel * fix bokeh interactive test * adhere to new loadPackage API
66 lines
2.3 KiB
HTML
66 lines
2.3 KiB
HTML
<html><head>
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<title>Bokeh Example</title>
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<meta charset="iso-8859-1">
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<link rel="icon" type="image/x-icon" href="./favicon.png">
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-3.0.3.min.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.0.3.min.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.0.3.min.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.0.3.min.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.0.3.min.js"></script>
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<script type="text/javascript">
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Bokeh.set_log_level("info");
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</script>
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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;">Bokeh Example</a>
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</div>
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</nav>
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<py-tutor>
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<section class="pyscript">
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<div id="myplot"></div>
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<py-config>
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packages = [
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"pandas",
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"bokeh",
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"xyzservices"
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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 id="main">
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import json
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import pyodide
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from js import Bokeh, console, JSON
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from bokeh.embed import json_item
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from bokeh.plotting import figure
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from bokeh.resources import CDN
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# create a new plot with default tools, using figure
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p = figure(width=400, height=400)
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# add a circle renderer with x and y coordinates, size, color, and alpha
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p.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=15, line_color="navy", fill_color="orange", fill_alpha=0.5)
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p_json = json.dumps(json_item(p, "myplot"))
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Bokeh.embed.embed_item(JSON.parse(p_json))
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</py-script>
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</section>
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</py-tutor>
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</body>
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</html>
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