geoPath
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geoPath
can be used to draw maps in combination with geojson.
import { Chart } from '@antv/g2';import { feature } from 'topojson';Promise.all([fetch('https://assets.antv.antgroup.com/g2/us-10m.json').then((res) =>res.json(),),fetch('https://assets.antv.antgroup.com/g2/unemployment2.json').then((res) =>res.json(),),]).then((values) => {const [us, unemployment] = values;const counties = feature(us, us.objects.counties).features;const chart = new Chart({container: 'container',});chart.geoPath().projection({ type: 'albersUsa' }).data({value: counties,transform: [{type: 'join',join: unemployment,on: ['id', 'id'],select: ['rate'],},],}).scale('color', {type: 'sequential',palette: 'ylGnBu',unknown: '#fff',}).encode('color', 'rate');chart.render();});
For more examples, please visit the Chart Examples page.
Currently, in addition to the same API and configuration options as common marks, geoPath
has a special projection
mapping. G2 currently has all the mappings from d3-geo built in.
The map is ultimately determined by geographic data, so you need to find a geoJson or topoJson data for a Chinese administrative map on the Internet and apply this data to the current sample DEMO.
import { Chart } from '@antv/g2';import { feature } from 'topojson';const chart = new Chart({container: 'container',});fetch('xxx/china.topo.json').then(async (res) => {const data = await res.json();const features = feature(data, data.objects.default).features;chart.geoPath().coordinate({ type: 'mercator' }).data(features).style('stroke', 'white');chart.render();});
import { Chart } from '@antv/g2';const chart = new Chart({container: 'container',});fetch('xxx/china.json').then(async (res) => {const data = await res.json();const features = data.features;chart.geoPath().coordinate({ type: 'mercator' }).data(features).style('stroke', 'white');chart.render();});