docs: add canvas examples for arrow + vector mark, update api docs #536
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docs: add canvas examples for arrow + vector mark, update api docs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,71 @@ | ||
| <script module> | ||
| export const title = 'Canvas arrows'; | ||
| export const description = `Rising inequality (and population) in various U.S. cities from 1980 to 2015. Each arrow represents two observations of a city: the city’s population (x) and inequality (y) in 1980, and the same in 2015. Based on an example from <a href="https://observablehq.com/@observablehq/plot-arrow-variation-chart">Observable Plot</a>.`; | ||
| export const data = { metros: '/data/metros.csv' }; | ||
| export const sortKey = 20; | ||
| </script> | ||
|
|
||
| <script lang="ts"> | ||
| import { | ||
| Plot, | ||
| Arrow, | ||
| Text, | ||
| setPlotDefaults | ||
| } from 'svelteplot'; | ||
| import type { MetrosRow } from '../types'; | ||
| let { metros }: { metros: MetrosRow[] } = $props(); | ||
|
|
||
| setPlotDefaults({ | ||
| arrow: { | ||
| headAngle: 45 | ||
| } | ||
| }); | ||
|
|
||
| let hl = $state<MetrosRow | null>(null); | ||
| </script> | ||
|
|
||
| <Plot | ||
| grid | ||
| marginRight={20} | ||
| inset={10} | ||
| height={450} | ||
| x={{ type: 'log', label: 'Population' }} | ||
| y={{ label: 'Inequality' }} | ||
| color={{ | ||
| label: 'Change in inequality from 1980 to 2015', | ||
| legend: true, | ||
| tickFormat: { | ||
| minimumFractionDigits: 0, | ||
| maximumFractionDigits: 1 | ||
| } | ||
| }}> | ||
| <Arrow | ||
| data={metros} | ||
| x1="POP_1980" | ||
| y1="R90_10_1980" | ||
| x2="POP_2015" | ||
| y2="R90_10_2015" | ||
| bend | ||
| canvas | ||
| style="transition: opacity 0.2s ease-in" | ||
| opacity={{ | ||
| scale: null, | ||
| value: (d) => | ||
| !hl || hl.Metro === d.Metro ? 1 : 0.1 | ||
| }} | ||
| stroke={(d) => d.R90_10_2015 - d.R90_10_1980} /> | ||
| <Text | ||
| data={metros} | ||
| x="POP_2015" | ||
| y="R90_10_2015" | ||
| filter={(d) => | ||
| hl | ||
| ? hl.Metro === d.Metro | ||
| : Boolean(d.highlight)} | ||
| text="nyt_display" | ||
| fill="currentColor" | ||
| stroke="var(--svelteplot-bg)" | ||
| strokeWidth={4} | ||
| lineAnchor="bottom" | ||
| dy={-6} /> | ||
| </Plot> |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,95 @@ | ||
| <script module lang="ts"> | ||
| export const title = 'Shift map (canvas)'; | ||
| export const description = | ||
| 'Uses projected county centroids and vector arrows to show the direction and magnitude of 2020 election shifts.'; | ||
| export const data = { | ||
| us: '/data/us-counties-10m.json', | ||
| election: '/data/election.csv' | ||
| }; | ||
| export const sortKey = 11; | ||
| </script> | ||
|
|
||
| <script lang="ts"> | ||
| import { | ||
| Plot, | ||
| Geo, | ||
| Vector, | ||
| geoCentroid | ||
| } from 'svelteplot'; | ||
| import * as topojson from 'topojson-client'; | ||
|
|
||
| type ElectionDatum = { | ||
| fips: number; | ||
| margin2020?: number; | ||
| votes?: number; | ||
| }; | ||
|
|
||
| type CountyFeature = { | ||
| id?: string | number; | ||
| properties?: Record<string, unknown>; | ||
| }; | ||
|
|
||
| const { us, election } = $props(); | ||
|
|
||
| const nation = $derived( | ||
| topojson.feature(us, us.objects.nation) | ||
| ); | ||
| const stateMesh = $derived( | ||
| topojson.mesh(us, us.objects.states) | ||
| ); | ||
|
|
||
| const electionByFips = $derived( | ||
| new Map( | ||
| election.map((d: ElectionDatum) => [d.fips, d]) | ||
| ) | ||
| ); | ||
|
|
||
| const counties = $derived( | ||
| ( | ||
| topojson.feature(us, us.objects.counties) as any | ||
| ).features.map((feat: CountyFeature) => { | ||
| return { | ||
| ...feat, | ||
| properties: { | ||
| ...feat.properties, | ||
| // oxlint-disable-next-line unicorn/no-useless-fallback-in-spread -- TS requires ?? {} for Map.get() | ||
| ...(electionByFips.get( | ||
| Number(feat.id) | ||
| ) as object) | ||
| } | ||
| }; | ||
| }) | ||
| ); | ||
|
|
||
| const centroids = $derived( | ||
| geoCentroid({ data: counties }) as any | ||
| ); | ||
| </script> | ||
|
|
||
| <Plot | ||
| projection="albers-usa" | ||
| length={{ type: 'sqrt', range: [3, 40] }}> | ||
| <Geo | ||
| data={[nation]} | ||
| fill="var(--svelteplot-bg)" | ||
| stroke="currentColor" /> | ||
| <Geo | ||
| data={[stateMesh]} | ||
| stroke="currentColor" | ||
| strokeWidth={0.5} /> | ||
| <Vector | ||
| {...centroids} | ||
| length={(d: any) => | ||
| Math.abs( | ||
| (d.properties?.margin2020 ?? 0) * | ||
| (d.properties?.votes ?? 0) | ||
| )} | ||
| shape="arrow-filled" | ||
| strokeLinecap="round" | ||
| fill={(d: any) => | ||
| d.properties?.margin2020 > 0 | ||
| ? 'var(--svp-red)' | ||
| : 'var(--svp-blue)'} | ||
| rotate={(d: any) => | ||
| d.properties?.margin2020 > 0 ? 60 : -60} /> | ||
| </Plot> | ||
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