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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>
79 lines
2.3 KiB
HTML
79 lines
2.3 KiB
HTML
<html>
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<head>
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<title>Altair</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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<link rel="stylesheet" href="./assets/css/examples.css" />
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<script defer src="https://pyscript.net/latest/pyscript.js"></script>
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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">Altair</a>
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</div>
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</nav>
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<section class="pyscript">
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<div id="altair"></div>
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<py-tutor>
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<py-config>
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packages = [
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"altair",
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"pandas",
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"vega_datasets"
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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 altair as alt
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from vega_datasets import data
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source = data.movies.url
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pts = alt.selection(type="single", encodings=['x'])
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rect = alt.Chart(data.movies.url).mark_rect().encode(
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alt.X('IMDB_Rating:Q', bin=True),
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alt.Y('Rotten_Tomatoes_Rating:Q', bin=True),
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alt.Color('count()',
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scale=alt.Scale(scheme='greenblue'),
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legend=alt.Legend(title='Total Records')
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)
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)
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circ = rect.mark_point().encode(
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alt.ColorValue('grey'),
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alt.Size('count()',
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legend=alt.Legend(title='Records in Selection')
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)
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).transform_filter(
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pts
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)
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bar = alt.Chart(source).mark_bar().encode(
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x='Major_Genre:N',
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y='count()',
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color=alt.condition(pts, alt.ColorValue("steelblue"), alt.ColorValue("grey"))
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).properties(
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width=550,
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height=200
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).add_selection(pts)
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display(alt.vconcat(
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rect + circ,
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bar
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).resolve_legend(
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color="independent",
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size="independent"
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), target="altair")
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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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