@tanstack/charts/dist/transform-rank.js

A chart grammar for TypeScript and JavaScript. Marks consume your data directly, channels describe visual encodings, and the engine compiles them into a renderer-neutral keyed scene. TanStack's compact scales cover common numeric and categorical mappings.

import {
  materializeGroups,
  toArray,
  transformValues
} from "./transform-internal.js";
function rank(source, options) {
  const data = toArray(source);
  const values = transformValues(data, options.value);
  const outputName = options.as ?? "rank";
  assertOutputName(outputName, "rank");
  const ranks = /* @__PURE__ */ new Map();
  for (const { indexes } of materializeGroups(data, options.by)) {
    const direction = options.order === "ascending" ? 1 : -1;
    const sorted = indexes.filter((index) => isFiniteNumber(values[index])).sort((left, right) => {
      const delta = values[left] - values[right];
      return delta === 0 ? left - right : delta * direction;
    });
    let dense = 0;
    let previous;
    sorted.forEach((index, position) => {
      const value = values[index];
      if (previous === void 0 || value !== previous) dense += 1;
      const resolved = options.ties === "ordinal" ? position + 1 : options.ties === "dense" ? dense : previous === void 0 || value !== previous ? position + 1 : ranks.get(sorted[position - 1]);
      ranks.set(index, resolved);
      previous = value;
    });
  }
  return data.flatMap((datum, index) => {
    const value = ranks.get(index);
    return value === void 0 ? [] : [
      {
        ...datum,
        [outputName]: value,
        source: [datum],
        sourceIndexes: [index]
      }
    ];
  });
}
function assertOutputName(name, transform) {
  if (name === "source" || name === "sourceIndexes") {
    throw new TypeError(`${transform}: output name "${name}" is reserved`);
  }
}
function isFiniteNumber(value) {
  return typeof value === "number" && Number.isFinite(value);
}
export {
  rank
};