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* 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>
158 lines
5.2 KiB
HTML
158 lines
5.2 KiB
HTML
<!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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<meta name="apple-mobile-web-app-capable" content="yes" />
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<meta name="apple-mobile-web-app-status-bar-style" content="default" />
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<meta name="theme-color" content="#000000" />
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<meta name="name" content="PyScript/Panel Streaming Demo" />
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<title>PyScript/Panel Streaming Demo</title>
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<link rel="icon" type="image/x-icon" href="./favicon.ico" />
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<link
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rel="stylesheet"
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href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"
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type="text/css"
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/>
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<link
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rel="stylesheet"
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href="https://unpkg.com/@holoviz/panel@0.13.1/dist/css/widgets.css"
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type="text/css"
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/>
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<link
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rel="stylesheet"
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href="https://unpkg.com/@holoviz/panel@0.13.1/dist/css/markdown.css"
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type="text/css"
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/>
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<script
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type="text/javascript"
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src="https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator.js"
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></script>
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<script
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type="text/javascript"
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src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.js"
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></script>
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<script
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type="text/javascript"
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src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js"
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></script>
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<script
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type="text/javascript"
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src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js"
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></script>
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<script
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type="text/javascript"
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src="https://unpkg.com/@holoviz/panel@0.13.1/dist/panel.min.js"
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></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
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rel="stylesheet"
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href="https://cdn.jsdelivr.net/npm/bootstrap@4.6.1/dist/css/bootstrap.min.css"
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/>
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<link
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rel="stylesheet"
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href="https://unpkg.com/@holoviz/panel@0.13.1/dist/bundled/bootstraptemplate/bootstrap.css"
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/>
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<link
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rel="stylesheet"
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href="https://unpkg.com/@holoviz/panel@0.13.1/dist/bundled/defaulttheme/default.css"
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/>
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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="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">Panel Streaming Demo</a>
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</div>
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</nav>
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<section class="pyscript">
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<div class="row overflow-hidden" id="content">
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<div class="col mh-100 float-left" id="main">
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<div class="bk-root" id="controls"></div>
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<div class="row">
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<div class="bk-root" id="table"></div>
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<div class="bk-root" id="plot"></div>
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</div>
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</div>
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</div>
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<py-tutor>
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<py-config>
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packages = [
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"https://cdn.holoviz.org/panel/0.14.3/dist/wheels/bokeh-2.4.3-py3-none-any.whl",
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"numpy",
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"pandas",
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"panel==0.13.1"
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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 panel as pn
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import numpy as np
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import pandas as pd
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from bokeh.models import ColumnDataSource
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from bokeh.plotting import figure
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df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD')).cumsum()
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rollover = pn.widgets.IntInput(name='Rollover', value=15)
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follow = pn.widgets.Checkbox(name='Follow', value=True, align='end')
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tabulator = pn.widgets.Tabulator(df, height=450, width=400).servable(target='table')
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def color_negative_red(val):
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"""
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Takes a scalar and returns a string with
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the css property `'color: red'` for negative
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strings, black otherwise.
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"""
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color = 'red' if val < 0 else 'green'
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return 'color: %s' % color
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tabulator.style.applymap(color_negative_red)
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p = figure(height=450, width=600)
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cds = ColumnDataSource(data=ColumnDataSource.from_df(df))
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p.line('index', 'A', source=cds, line_color='red')
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p.line('index', 'B', source=cds, line_color='green')
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p.line('index', 'C', source=cds, line_color='blue')
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p.line('index', 'D', source=cds, line_color='purple')
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def stream():
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data = df.iloc[-1] + np.random.randn(4)
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tabulator.stream(data, rollover=rollover.value, follow=follow.value)
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value = {k: [v] for k, v in tabulator.value.iloc[-1].to_dict().items()}
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value['index'] = [tabulator.value.index[-1]]
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cds.stream(value)
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cb = pn.state.add_periodic_callback(stream, 200)
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pn.pane.Bokeh(p).servable(target='plot')
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pn.Row(cb.param.period, rollover, follow, width=400).servable(target='controls')
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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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