@antv/g2
Version:
the Grammar of Graphics in Javascript
85 lines (72 loc) • 2.54 kB
text/typescript
import { Band } from '@antv/scale';
import { MarkComponent as MC, Vector2 } from '../runtime';
import { DensityMark } from '../spec';
import { DensityShape } from '../shape';
import { MaybeZeroY1, MaybeZeroX } from '../transform';
import {
baseGeometryChannels,
basePostInference,
basePreInference,
tooltip1d,
} from './utils';
const shape = {
density: DensityShape,
};
export type DensityOptions = Omit<DensityMark, 'type'>;
export const Density: MC<DensityOptions> = () => {
return (index, scale, value, coordinate) => {
const { x: X, series: S } = value;
const Yn = Object.entries(value)
.filter(([key]) => key.startsWith('y'))
.map(([, value]) => value);
const SZn = Object.entries(value)
.filter(([key]) => key.startsWith('size'))
.map(([, value]) => value);
// Because x and y channel is not strictly required in Line.props,
// it should throw error with empty x or y channels.
if (X === undefined || Yn === undefined || SZn === undefined) {
throw new Error('Missing encode for x or y or size channel.');
}
// Calc width for each box.
// The scales for x and series channels must be band scale.
const xScale = scale.x as Band;
const series = scale.series as Band;
const P = Array.from(index, (i) => {
const groupWidth = xScale.getBandWidth(xScale.invert(+X[i]));
const ratio = series ? series.getBandWidth(series.invert(+S?.[i])) : 1;
const width = groupWidth * ratio;
const offset = (+S?.[i] || 0) * groupWidth;
const x = +X[i] + offset + width / 2;
const PN = [
...Yn.map((_, idx) => [x + +SZn[idx][i] / index.length, +Yn[idx][i]]), // right
...Yn.map((_, idx) => [
x - +SZn[idx][i] / index.length,
+Yn[idx][i],
]).reverse(), // left
];
return PN.map((p) => coordinate.map(p)) as Vector2[];
});
return [index, P];
};
};
Density.props = {
defaultShape: 'density',
defaultLabelShape: 'label',
composite: false,
shape,
channels: [
...baseGeometryChannels({ shapes: Object.keys(shape) }),
{ name: 'x', scale: 'band', required: true },
{ name: 'y', required: true },
{ name: 'size', required: true },
{ name: 'series', scale: 'band' },
{ name: 'size', required: true, scale: 'identity' },
],
preInference: [
...basePreInference(),
{ type: MaybeZeroY1 },
{ type: MaybeZeroX },
],
postInference: [...basePostInference(), ...tooltip1d()],
interaction: { shareTooltip: true },
};