mirror of
https://github.com/pyscript/pyscript.git
synced 2022-05-01 19:47:48 +03:00
Add Panel KMeans clustering example
This commit is contained in:
Philipp Rudiger
@@ -65,7 +65,7 @@ def doc_json(model, target):
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version = __version__,
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))
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def link_docs(pydoc, jsdoc):
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def _link_docs(pydoc, jsdoc):
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def jssync(event):
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if (event.setter_id is not None):
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return
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@@ -76,9 +76,11 @@ def link_docs(pydoc, jsdoc):
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jsdoc.on_change(pyodide.create_proxy(jssync), pyodide.to_js(False))
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def pysync(event):
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json_patch = process_document_events([event], use_buffers=False)[0]
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jsdoc.apply_json_patch(JSON.parse(json_patch), {}, setter_id='js')
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json_patch, buffers = process_document_events([event], use_buffers=True)
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buffer_map = {}
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for (ref, buffer) in buffers:
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buffer_map[ref['id']] = buffer
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jsdoc.apply_json_patch(JSON.parse(json_patch), pyodide.to_js(buffer_map), setter_id='js')
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pydoc.on_change(pysync)
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@@ -87,7 +89,7 @@ async def show(plot, target):
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views = await Bokeh.embed.embed_item(JSON.parse(model_json))
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print("Done embedding...")
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jsdoc = views[0].model.document
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link_docs(pydoc, jsdoc)
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_link_docs(pydoc, jsdoc)
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await show(row, 'myplot')
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</py-script>
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@@ -1,4 +1,5 @@
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<html><head>
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<html>
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<head>
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<title>Panel Example</title>
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<meta charset="iso-8859-1">
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.js"></script>
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@@ -7,28 +8,21 @@
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js"></script>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/@holoviz/panel@0.13.0-rc.5/dist/panel.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="build/pyscript.css" />
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<script defer src="build/pyscript.js"></script>
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</head>
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<body>
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<py-env>
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- bokeh
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- numpy
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</py-env>
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<h1>Panel Example</h1>
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<div id="myplot"></div>
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<py-script>
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</head>
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<body>
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<py-env>
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- bokeh
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- numpy
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</py-env>
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<h1>Panel Example</h1>
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<div id="myplot"></div>
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<py-script>
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import asyncio
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import micropip
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import pyodide
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await micropip.install(['panel==0.13.0rc8'])
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await micropip.install(['panel==0.13.0rc9'])
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import panel as pn
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@@ -40,7 +34,6 @@ def callback(new):
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row = pn.Row(slider, pn.bind(callback, slider))
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await pn.io.pyodide.show(row, 'myplot')
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</py-script>
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</py-script>
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</body>
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</html>
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157
pyscriptjs/public/panel_kmeans.html
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157
pyscriptjs/public/panel_kmeans.html
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@@ -0,0 +1,157 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<title>Pyscript/Panel KMeans Demo</title>
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<link rel="icon" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/icons/favicon.ico" type="">
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<meta name="name" content="PyScript/Panel KMeans Demo">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css" type="text/css" />
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<link rel="stylesheet" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/css/widgets.css" type="text/css" />
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<link rel="stylesheet" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/css/markdown.css" type="text/css" />
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<link rel="stylesheet" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/css/loading.css" type="text/css" />
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<link rel="stylesheet" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/css/dataframe.css" type="text/css" />
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/vega@5"></script>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/vega-lite@5"></script>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/vega-embed@6"></script>
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<script type="text/javascript" src="https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js"></script>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js"></script>
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<script type="text/javascript" src="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/panel.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://cdn.jsdelivr.net/npm/bootstrap@4.6.1/dist/css/bootstrap.min.css">
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<link rel="stylesheet" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/bundled/bootstraptemplate/bootstrap.css">
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<link rel="stylesheet" href="https://unpkg.com/@holoviz/panel@0.13.0-rc.8/dist/bundled/defaulttheme/default.css">
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<style>
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#sidebar {
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width: 350px;
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}
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</style>
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<script src="https://cdn.jsdelivr.net/npm/jquery@3.5.1/dist/jquery.slim.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@4.6.1/dist/js/bootstrap.bundle.min.js"></script>
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<link rel="stylesheet" href="build/pyscript.css" />
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<script defer src="build/pyscript.js"></script>
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</head>
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<body>
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<py-env>
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- bokeh
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- numpy
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- pandas
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- scikit-learn
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</py-env>
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<div class="container-fluid d-flex flex-column vh-100 overflow-hidden" id="container">
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<nav class="navbar navbar-expand-md navbar-dark sticky-top shadow" style="" id="header">
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<button type="button" class="navbar-toggle collapsed" id="sidebarCollapse">
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<span class="navbar-toggler-icon"></span>
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</button>
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<div class="app-header">
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<a class="title" href="/" > Panel</a>
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<span class="title"> -</span>
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<a class="title" href="" > Pyscript KMeans Clustering Demo</a>
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</div>
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</nav>
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<div class="row overflow-hidden" id="content">
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<div class="sidenav" id="sidebar">
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<ul class="nav flex-column">
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<div class="bk-root" id="x-widget" data-root-id="1021"></div>
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<div class="bk-root" id="y-widget" data-root-id="1026"></div>
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<div class="bk-root" id="n-widget" data-root-id="1031"></div>
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</ul>
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</div>
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<div class="col mh-100 float-left" id="main">
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<div class="bk-root" id="intro" data-root-id="1008"></div>
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<div class="bk-root" id="cluster-plot" data-root-id="1009"></div>
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<div class="bk-root" id="table" data-root-id="1009"></div>
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</div>
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</div>
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</div>
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<py-script>
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import asyncio
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import micropip
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from io import StringIO
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from js import fetch
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await micropip.install(['panel==0.13.0rc9', 'altair'])
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import altair as alt
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import panel as pn
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import pandas as pd
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from panel.io.pyodide import show
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from sklearn.cluster import KMeans
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pn.config.sizing_mode = 'stretch_width'
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data = await fetch('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-07-28/penguins.csv')
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penguins = pd.read_csv(StringIO(await data.text())).dropna()
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cols = list(penguins.columns)[2:6]
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x = pn.widgets.Select(name='x', options=cols, value='bill_depth_mm')
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y = pn.widgets.Select(name='y', options=cols, value='bill_length_mm')
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n_clusters = pn.widgets.IntSlider(name='n_clusters', start=1, end=5, value=3)
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@pn.depends(x.param.value, y.param.value, n_clusters.param.value)
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def get_clusters(x, y, n_clusters):
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kmeans = KMeans(n_clusters=n_clusters)
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est = kmeans.fit(penguins[cols].values)
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df = penguins.copy()
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df['labels'] = est.labels_.astype('str')
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centers = df.groupby('labels').mean()
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table.value = df
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return (
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alt.Chart(df)
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.mark_point(size=100)
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.encode(
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x=alt.X(x, scale=alt.Scale(zero=False)),
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y=alt.Y(y, scale=alt.Scale(zero=False)),
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shape='labels',
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color='species'
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).properties(width=800) +
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alt.Chart(centers)
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.mark_point(size=200, shape='cross', color='black')
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.encode(x=x+':Q', y=y+':Q')
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)
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table = pn.widgets.Tabulator(penguins, pagination='remote', page_size=10)
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intro = """
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This app provides an example of **building a simple dashboard using
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Panel**.\n\nIt demonstrates how to take the output of **k-means
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clustering on the Penguins dataset** using scikit-learn, parameterizing
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the number of clusters and the variables to plot.\n\nThe entire
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clustering and plotting pipeline is expressed as a **single reactive
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function** that responsively returns an updated plot when one of the
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widgets changes.\n\n The **`x` marks the center** of the cluster.
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"""
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await show(x, 'x-widget')
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await show(y, 'y-widget')
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await show(n_clusters, 'n-widget')
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await show(intro, 'intro')
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await show(get_clusters, 'cluster-plot')
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await show(table, 'table')
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</py-script>
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<script>
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$(document).ready(function () {
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$('#sidebarCollapse').on('click', function () {
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$('#sidebar').toggleClass('active')
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$(this).toggleClass('active')
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var interval = setInterval(function () { window.dispatchEvent(new Event('resize')); }, 10);
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setTimeout(function () { clearInterval(interval) }, 210)
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});
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});
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</script>
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</body>
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</html>
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