swOperation/node_modules/@antv/g2/esm/transform/stackY.js

import { deepMix } from '@antv/util';
import { column, columnOf, inferredColumn, maybeColumnOf, } from './utils/helper';
import { normalizeComparator, createGroups, applyOrder } from './utils/order';
/**
 * The stack transform group marks into series by color channel,
 * and then produce new y channel for each series by specified order,
 * say to form vertical "stacks" by specified channels.
 */
export const StackY = (options = {}) => {
    const { groupBy = 'x', orderBy = null, reverse = false, y: fromY = 'y', y1: fromY1 = 'y1', series = true, } = options;
    return (I, mark) => {
        const { data, encode, style = {} } = mark;
        const [Y, fy] = columnOf(encode, 'y');
        const [Y1, fy1] = columnOf(encode, 'y1');
        const [S] = series
            ? maybeColumnOf(encode, 'series', 'color')
            : columnOf(encode, 'color');
        // Create groups and apply specified order for each group.
        const groups = createGroups(groupBy, I, mark);
        const createComparator = normalizeComparator(orderBy);
        const comparator = createComparator(data, Y, S);
        if (comparator)
            applyOrder(groups, comparator);
        // Stack y channels to produce new y and y1 channel.
        const newY = new Array(I.length);
        const newY1 = new Array(I.length);
        const TY = new Array(I.length);
        const F = [];
        const L = [];
        for (const G of groups) {
            if (reverse)
                G.reverse();
            // For range interval with specified y and y1.
            const start = Y1 ? +Y1[G[0]] : 0;
            // Split positive indices of Y and negative Y.
            const PG = [];
            const NG = [];
            for (const i of G) {
                const y = (TY[i] = +Y[i] - start);
                if (y < 0)
                    NG.push(i);
                else if (y >= 0)
                    PG.push(i);
            }
            // Store the first and last layer.
            const FG = PG.length > 0 ? PG : NG;
            const LG = NG.length > 0 ? NG : PG;
            let i = PG.length - 1;
            let j = 0;
            // Find the last non-zero index.
            while (i > 0 && Y[FG[i]] === 0)
                i--;
            // Find the first non-zero index.
            while (j < LG.length - 1 && Y[LG[j]] === 0)
                j++;
            F.push(FG[i]);
            L.push(LG[j]);
            // Stack negative y in reverse order.
            let ny = start;
            for (const i of NG.reverse()) {
                const y = TY[i];
                ny = newY[i] = (newY1[i] = ny) + y;
            }
            // Stack positive y in input order.
            let py = start;
            for (const i of PG) {
                const y = TY[i];
                if (y > 0)
                    py = newY[i] = (newY1[i] = py) + y;
                else
                    newY[i] = newY1[i] = py;
            }
        }
        // Only set top radius for the first layer,
        // and set bottom radius for the last layer.
        const FS = new Set(F);
        const LS = new Set(L);
        // Choose new y or y1 channel as the new y channel.
        const V = fromY === 'y' ? newY : newY1;
        const V1 = fromY1 === 'y' ? newY : newY1;
        return [
            I,
            deepMix({}, mark, {
                encode: {
                    y0: inferredColumn(Y, fy),
                    y: column(V, fy),
                    y1: column(V1, fy1),
                },
                style: Object.assign({ first: (_, i) => FS.has(i), last: (_, i) => LS.has(i) }, style),
            }),
        ];
    };
};
StackY.props = {};
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