Skip to content

Categorical series

Read as Markdown

Map original category identities with line and point marks.

Plain source. Run as a browser module after the document body exists. TSX uses jsx: "react-jsx" and jsxImportSource: "@pibbl/core".

import { Group, Text, pibbl } from "@pibbl/core";
import {
Axis,
LineSeries,
PointSeries,
PointScale,
LinearScale,
type SeriesCoordinate,
type SeriesAccessor,
} from "@pibbl/core/viz";
// NOAA / Scripps Mauna Loa monthly CO2, ppm, Jan–Jun 1980.
// https://gml.noaa.gov/webdata/ccgg/trends/co2/co2_mm_mlo.csv
const data = [337.9, 338.34, 340.07, 340.93, 341.45, 341.36].map((ppm, i) => ({
month: ["Jan", "Feb", "Mar", "Apr", "May", "Jun"][i],
ppm,
}));
const month: SeriesAccessor<(typeof data)[number]> = (row): SeriesCoordinate =>
row.month;
const canvas = document.createElement("canvas");
canvas.width = 360;
canvas.height = 240;
document.body.append(canvas);
const app = pibbl(
canvas,
<Group style={{ translateX: 25, translateY: 20 }}>
<PointScale id="month" domain={data.map((d) => d.month)} range={[0, 300]}>
<LinearScale id="ppm" domain={[337, 342]} range={[160, 0]}>
<LineSeries data={data} x={month} y="ppm" xScale="month" yScale="ppm" />
<PointSeries
data={data}
x={month}
y="ppm"
xScale="month"
yScale="ppm"
/>
<Axis
scale="month"
position="bottom"
tickValues={data.map((d) => d.month)}
/>
</LinearScale>
</PointScale>
<Text style={{ top: 205, font: "10px sans-serif" }}>
NOAA / Scripps · Jan–Jun 1980 · ppm
</Text>
</Group>,
);
window.addEventListener("pagehide", () => app.dispose(), { once: true });

Documentation built with @pibbl/core 0.0.2, revision 272a94a. ALPHA — NOT FOR PRODUCTION USE.