@antv/scale
Version:
Toolkit for mapping abstract data into visual representation.
67 lines • 2.18 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.Quantize = void 0;
const threshold_1 = require("./threshold");
const wilkinson_extended_1 = require("../tick-methods/wilkinson-extended");
const utils_1 = require("../utils");
/**
* 类似 Threshold 比例尺，区别在于 thresholds 是根据连续的 domain 根据离散的 range 的数量计算而得到的。
*/
class Quantize extends threshold_1.Threshold {
getDefaultOptions() {
return {
domain: [0, 1],
range: [0.5],
nice: false,
tickCount: 5,
tickMethod: wilkinson_extended_1.wilkinsonExtended,
};
}
constructor(options) {
super(options);
}
nice() {
const { nice } = this.options;
if (nice) {
const [min, max, tickCount] = this.getTickMethodOptions();
this.options.domain = (0, utils_1.d3LinearNice)(min, max, tickCount);
}
}
getTicks() {
const { tickMethod } = this.options;
const [min, max, tickCount] = this.getTickMethodOptions();
return tickMethod(min, max, tickCount);
}
getTickMethodOptions() {
const { domain, tickCount } = this.options;
const min = domain[0];
const max = domain[domain.length - 1];
return [min, max, tickCount];
}
rescale() {
this.nice();
const { range, domain } = this.options;
const [x0, x1] = domain;
this.n = range.length - 1;
this.thresholds = new Array(this.n);
for (let i = 0; i < this.n; i += 1) {
this.thresholds[i] = ((i + 1) * x1 - (i - this.n) * x0) / (this.n + 1);
}
}
/**
* 如果是在第一段后或者最后一段就把两端的值添加上
*/
invert(y) {
const [a, b] = super.invert(y);
const [x0, x1] = this.options.domain;
return a === undefined && b === undefined ? [a, b] : [a || x0, b || x1];
}
getThresholds() {
return this.thresholds;
}
clone() {
return new Quantize(this.options);
}
}
exports.Quantize = Quantize;
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