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docs: add area graph demos (antvis#5897)
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import { Chart } from '@antv/g2'; | ||
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const data = [ | ||
{ year: '1991', value: 15468 }, | ||
{ year: '1992', value: 16100 }, | ||
{ year: '1993', value: 15900 }, | ||
{ year: '1994', value: 17409 }, | ||
{ year: '1995', value: 17000 }, | ||
{ year: '1996', value: 31056 }, | ||
{ year: '1997', value: 31982 }, | ||
{ year: '1998', value: 32040 }, | ||
{ year: '1999', value: 33233 }, | ||
]; | ||
const chart = new Chart({ | ||
container: 'container', | ||
autoFit: true, | ||
}); | ||
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chart.data(data); | ||
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chart | ||
.area() | ||
.encode('x', d => d.year) | ||
.encode('y', 'value') | ||
.encode('shape', 'area') // 'area', 'smooth', 'hvh', 'vh', 'hv' | ||
.style('opacity', 0.2) | ||
.axis('y', { labelFormatter: '~s', title: false }); | ||
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chart.line().encode('x', 'year').encode('y', 'value').encode('shape', 'line'); // 'line', 'smooth', 'vh', 'hv', 'hvh' | ||
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chart.render(); |
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import { Chart } from '@antv/g2'; | ||
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const data = [ | ||
{ country: 'Asia', year: '1750', value: 502 }, | ||
{ country: 'Asia', year: '1800', value: 635 }, | ||
{ country: 'Asia', year: '1850', value: 809 }, | ||
{ country: 'Asia', year: '1900', value: 947 }, | ||
{ country: 'Asia', year: '1950', value: 1402 }, | ||
{ country: 'Asia', year: '1999', value: 3634 }, | ||
{ country: 'Asia', year: '2050', value: 5268 }, | ||
{ country: 'Africa', year: '1750', value: 106 }, | ||
{ country: 'Africa', year: '1800', value: 107 }, | ||
{ country: 'Africa', year: '1850', value: 111 }, | ||
{ country: 'Africa', year: '1900', value: 133 }, | ||
{ country: 'Africa', year: '1950', value: 221 }, | ||
{ country: 'Africa', year: '1999', value: 767 }, | ||
{ country: 'Africa', year: '2050', value: 1766 }, | ||
{ country: 'Europe', year: '1750', value: 163 }, | ||
{ country: 'Europe', year: '1800', value: 203 }, | ||
{ country: 'Europe', year: '1850', value: 276 }, | ||
{ country: 'Europe', year: '1900', value: 408 }, | ||
{ country: 'Europe', year: '1950', value: 547 }, | ||
{ country: 'Europe', year: '1999', value: 729 }, | ||
{ country: 'Europe', year: '2050', value: 628 }, | ||
]; | ||
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const chart = new Chart({ | ||
container: 'container', | ||
autoFit: true, | ||
}); | ||
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chart | ||
.data(data) | ||
.transform([{ type: 'stackY' }, { type: 'normalizeY' }]) | ||
.encode('x', 'year') | ||
.encode('y', 'value') | ||
.encode('color', 'country') | ||
.axis('x', { title: false }) | ||
.axis('y', { title: false, labelFormatter: '.0%' }) | ||
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chart | ||
.area() | ||
.tooltip({ channel: 'y0', valueFormatter: '.0%' }) | ||
.style('fillOpacity', 0.3) | ||
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chart | ||
.line() | ||
.tooltip(false); | ||
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chart.render(); |
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import { Chart } from '@antv/g2'; | ||
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const data = [ | ||
{ time: 1246406400000, temperature: [14.3, 27.7] }, | ||
{ time: 1246492800000, temperature: [14.5, 27.8] }, | ||
{ time: 1246579200000, temperature: [15.5, 29.6] }, | ||
{ time: 1246665600000, temperature: [16.7, 30.7] }, | ||
{ time: 1246752000000, temperature: [16.5, 25.0] }, | ||
{ time: 1246838400000, temperature: [17.8, 25.7] }, | ||
{ time: 1246924800000, temperature: [13.5, 24.8] }, | ||
{ time: 1247011200000, temperature: [10.5, 21.4] }, | ||
{ time: 1247097600000, temperature: [9.2, 23.8] }, | ||
{ time: 1247184000000, temperature: [11.6, 21.8] }, | ||
{ time: 1247270400000, temperature: [10.7, 23.7] }, | ||
{ time: 1247356800000, temperature: [11.0, 23.3] }, | ||
{ time: 1247443200000, temperature: [11.6, 23.7] }, | ||
{ time: 1247529600000, temperature: [11.8, 20.7] }, | ||
{ time: 1247616000000, temperature: [12.6, 22.4] }, | ||
{ time: 1247702400000, temperature: [13.6, 19.6] }, | ||
{ time: 1247788800000, temperature: [11.4, 22.6] }, | ||
{ time: 1247875200000, temperature: [13.2, 25.0] }, | ||
{ time: 1247961600000, temperature: [14.2, 21.6] }, | ||
{ time: 1248048000000, temperature: [13.1, 17.1] }, | ||
{ time: 1248134400000, temperature: [12.2, 15.5] }, | ||
{ time: 1248220800000, temperature: [12.0, 20.8] }, | ||
{ time: 1248307200000, temperature: [12.0, 17.1] }, | ||
{ time: 1248393600000, temperature: [12.7, 18.3] }, | ||
{ time: 1248480000000, temperature: [12.4, 19.4] }, | ||
{ time: 1248566400000, temperature: [12.6, 19.9] }, | ||
{ time: 1248652800000, temperature: [11.9, 20.2] }, | ||
{ time: 1248739200000, temperature: [11.0, 19.3] }, | ||
{ time: 1248825600000, temperature: [10.8, 17.8] }, | ||
{ time: 1248912000000, temperature: [11.8, 18.5] }, | ||
{ time: 1248998400000, temperature: [10.8, 16.1] }, | ||
]; | ||
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const averages = [ | ||
{ time: 1246406400000, temperature: 21.5 }, | ||
{ time: 1246492800000, temperature: 22.1 }, | ||
{ time: 1246579200000, temperature: 23 }, | ||
{ time: 1246665600000, temperature: 23.8 }, | ||
{ time: 1246752000000, temperature: 21.4 }, | ||
{ time: 1246838400000, temperature: 21.3 }, | ||
{ time: 1246924800000, temperature: 18.3 }, | ||
{ time: 1247011200000, temperature: 15.4 }, | ||
{ time: 1247097600000, temperature: 16.4 }, | ||
{ time: 1247184000000, temperature: 17.7 }, | ||
{ time: 1247270400000, temperature: 17.5 }, | ||
{ time: 1247356800000, temperature: 17.6 }, | ||
{ time: 1247443200000, temperature: 17.7 }, | ||
{ time: 1247529600000, temperature: 16.8 }, | ||
{ time: 1247616000000, temperature: 17.7 }, | ||
{ time: 1247702400000, temperature: 16.3 }, | ||
{ time: 1247788800000, temperature: 17.8 }, | ||
{ time: 1247875200000, temperature: 18.1 }, | ||
{ time: 1247961600000, temperature: 17.2 }, | ||
{ time: 1248048000000, temperature: 14.4 }, | ||
{ time: 1248134400000, temperature: 13.7 }, | ||
{ time: 1248220800000, temperature: 15.7 }, | ||
{ time: 1248307200000, temperature: 14.6 }, | ||
{ time: 1248393600000, temperature: 15.3 }, | ||
{ time: 1248480000000, temperature: 15.3 }, | ||
{ time: 1248566400000, temperature: 15.8 }, | ||
{ time: 1248652800000, temperature: 15.2 }, | ||
{ time: 1248739200000, temperature: 14.8 }, | ||
{ time: 1248825600000, temperature: 14.4 }, | ||
{ time: 1248912000000, temperature: 15 }, | ||
{ time: 1248998400000, temperature: 13.6 }, | ||
]; | ||
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const chart = new Chart({ | ||
container: 'container', | ||
autoFit: true, | ||
}); | ||
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chart | ||
.data({ | ||
value: data, | ||
transform: [{ | ||
type: 'map', | ||
callback: (d) => ({ | ||
time: d.time, | ||
low: d.temperature[0], | ||
high: d.temperature[1] | ||
}), | ||
}] | ||
}) | ||
.axis('y', { title: false }) | ||
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chart | ||
.area() | ||
.encode('x', d => new Date(d.time).toLocaleDateString()) | ||
.encode('y', ['low', 'high']) | ||
.encode('shape', 'area') | ||
.style('fillOpacity', 0.3) | ||
.style('fill', '#64b5f6') | ||
.tooltip({ | ||
items: [d => ({ name: '温度区间', value: `${d.low}-${d.high}` })], | ||
}) | ||
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chart | ||
.line() | ||
.data(averages) | ||
.encode('x', d => new Date(d.time).toLocaleDateString()) | ||
.encode('y', 'temperature') | ||
.encode('shape', 'line') | ||
.style('lineWidth', 2) | ||
.tooltip({ | ||
title: false, | ||
items: [d => ({ | ||
name: '平均温度', | ||
value: d.temperature | ||
})] | ||
}) | ||
chart | ||
.point() | ||
.data(averages) | ||
.encode('x', d => new Date(d.time).toLocaleDateString()) | ||
.encode('y', 'temperature') | ||
.encode('shape', 'point') | ||
.encode('size', 4) | ||
.tooltip(false) | ||
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chart.render(); |
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import { Chart } from '@antv/g2'; | ||
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const data = [ | ||
{ country: 'Asia', year: '1750', value: 502 }, | ||
{ country: 'Asia', year: '1800', value: 635 }, | ||
{ country: 'Asia', year: '1850', value: 809 }, | ||
{ country: 'Asia', year: '1900', value: 5268 }, | ||
{ country: 'Asia', year: '1950', value: 4400 }, | ||
{ country: 'Asia', year: '1999', value: 3634 }, | ||
{ country: 'Asia', year: '2050', value: 947 }, | ||
{ country: 'Africa', year: '1750', value: 106 }, | ||
{ country: 'Africa', year: '1800', value: 107 }, | ||
{ country: 'Africa', year: '1850', value: 111 }, | ||
{ country: 'Africa', year: '1900', value: 1766 }, | ||
{ country: 'Africa', year: '1950', value: 221 }, | ||
{ country: 'Africa', year: '1999', value: 767 }, | ||
{ country: 'Africa', year: '2050', value: 133 }, | ||
{ country: 'Europe', year: '1750', value: 163 }, | ||
{ country: 'Europe', year: '1800', value: 203 }, | ||
{ country: 'Europe', year: '1850', value: 276 }, | ||
{ country: 'Europe', year: '1900', value: 628 }, | ||
{ country: 'Europe', year: '1950', value: 547 }, | ||
{ country: 'Europe', year: '1999', value: 729 }, | ||
{ country: 'Europe', year: '2050', value: 408 }, | ||
{ country: 'Oceania', year: '1750', value: 200 }, | ||
{ country: 'Oceania', year: '1800', value: 200 }, | ||
{ country: 'Oceania', year: '1850', value: 200 }, | ||
{ country: 'Oceania', year: '1900', value: 460 }, | ||
{ country: 'Oceania', year: '1950', value: 230 }, | ||
{ country: 'Oceania', year: '1999', value: 300 }, | ||
{ country: 'Oceania', year: '2050', value: 300 }, | ||
]; | ||
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const chart = new Chart({ | ||
container: 'container', | ||
autoFit: true, | ||
}); | ||
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chart | ||
.data(data) | ||
.encode('x', 'year') | ||
.encode('y', 'value') | ||
.encode('color', 'country') | ||
.axis('x', { title: false }) | ||
.axis('y', { title: false }); | ||
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chart.area().style('fillOpacity', 0.3); | ||
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chart.line().style('strokeWidth', 2).tooltip(false); | ||
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chart.render(); |
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import { Chart } from '@antv/g2'; | ||
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const data = [ | ||
{ year: '1996', north: 322, south: 162 }, | ||
{ year: '1997', north: 324, south: 90 }, | ||
{ year: '1998', north: 329, south: 50 }, | ||
{ year: '1999', north: 342, south: 77 }, | ||
{ year: '2000', north: 348, south: 35 }, | ||
{ year: '2001', north: 334, south: -45 }, | ||
{ year: '2002', north: 325, south: -88 }, | ||
{ year: '2003', north: 316, south: -120 }, | ||
{ year: '2004', north: 318, south: -156 }, | ||
{ year: '2005', north: 330, south: -123 }, | ||
{ year: '2006', north: 355, south: -88 }, | ||
{ year: '2007', north: 366, south: -66 }, | ||
{ year: '2008', north: 337, south: -45 }, | ||
{ year: '2009', north: 352, south: -29 }, | ||
{ year: '2010', north: 377, south: -45 }, | ||
{ year: '2011', north: 383, south: -88 }, | ||
{ year: '2012', north: 344, south: -132 }, | ||
{ year: '2013', north: 366, south: -146 }, | ||
{ year: '2014', north: 389, south: -169 }, | ||
{ year: '2015', north: 334, south: -184 }, | ||
]; | ||
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const chart = new Chart({ | ||
container: 'container', | ||
autoFit: true, | ||
}); | ||
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chart | ||
.data({ | ||
value: data, | ||
transform: [{ | ||
type: 'fold', | ||
fields: ['north', 'south'], | ||
key: 'type', // key字段 | ||
value: 'value', // value字段 | ||
}] | ||
}) | ||
.encode('x', d => d.year) | ||
.encode('y', 'value') | ||
.encode('color', 'type') | ||
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chart.area().style('fillOpacity', 0.3) | ||
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chart.line().style('strokeWidth', 2).tooltip(false); | ||
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chart.render(); |
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