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63 lines
1.4 KiB
HTML
63 lines
1.4 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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<script defer src="https://pyscript.net/latest/pyscript.js"></script>
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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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</py-config>
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</head>
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<body>
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<div id="altair" style="width: 100%; height: 100%"></div>
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<py-script output="altair">
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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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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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)
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</py-script>
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</body>
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</html>
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