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@antv/g2

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the Grammar of Graphics in Javascript

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var __rest = (this && this.__rest) || function (s, e) { var t = {}; for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0) t[p] = s[p]; if (s != null && typeof Object.getOwnPropertySymbols === "function") for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) { if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i])) t[p[i]] = s[p[i]]; } return t; }; import { deepMix } from '@antv/util'; import { groupSort, max, min, sum, mean, median, sort, } from 'd3-array'; import { columnOf } from './utils/helper'; function createReducer(channel, options, encode) { const { by = channel, reducer = 'max' } = options; const [V] = columnOf(encode, by); if (typeof reducer === 'function') return (GI) => reducer(GI, V); if (reducer === 'max') return (GI) => max(GI, (i) => +V[i]); if (reducer === 'min') return (GI) => min(GI, (i) => +V[i]); if (reducer === 'sum') return (GI) => sum(GI, (i) => +V[i]); if (reducer === 'median') return (GI) => median(GI, (i) => +V[i]); if (reducer === 'mean') return (GI) => mean(GI, (i) => +V[i]); if (reducer === 'first') return (GI) => V[GI[0]]; if (reducer === 'last') return (GI) => V[GI[GI.length - 1]]; throw new Error(`Unknown reducer: ${reducer}`); } function sortQuantitative(I, mark, options) { const { reverse, channel } = options; const { encode } = mark; const [V] = columnOf(encode, channel); const sortedI = sort(I, (i) => V[i]); if (reverse) sortedI.reverse(); // const s = typeof slice === 'number' ? [0, slice] : slice; return [sortedI, mark]; } // If domain is specified, only sort data in the domain. function filterIndex(I, values, specifiedDomain) { if (!Array.isArray(specifiedDomain)) return I; const domain = new Set(specifiedDomain); return I.filter((i) => domain.has(values[i])); } function sortOrdinal(I, mark, options) { var _a; const { reverse, slice, channel } = options, rest = __rest(options, ["reverse", "slice", "channel"]); const { encode, scale = {} } = mark; const domain = (_a = scale[channel]) === null || _a === void 0 ? void 0 : _a.domain; const [T] = columnOf(encode, channel); const normalizeReducer = createReducer(channel, rest, encode); const SI = filterIndex(I, T, domain); const sortedDomain = groupSort(SI, normalizeReducer, (i) => T[i]); if (reverse) sortedDomain.reverse(); const s = typeof slice === 'number' ? [0, slice] : slice; const slicedDomain = slice ? sortedDomain.slice(...s) : sortedDomain; return [ I, deepMix(mark, { scale: { [channel]: { domain: slicedDomain, }, }, }), ]; } /** * Sort marks groups by groups. */ export const Sort = (options = {}) => { const { reverse = false, slice, channel, ordinal = true } = options, rest = __rest(options, ["reverse", "slice", "channel", "ordinal"]); return (I, mark) => { if (!ordinal) { return sortQuantitative(I, mark, Object.assign({ reverse, slice, channel }, rest)); } return sortOrdinal(I, mark, Object.assign({ reverse, slice, channel }, rest)); }; }; Sort.props = {}; //# sourceMappingURL=sort.js.map