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How to use the groupBy function from ramda

Find comprehensive JavaScript ramda.groupBy code examples handpicked from public code repositorys.

ramda.groupBy is a function provided by the Ramda library that groups a list of values into a new object or array, based on a provided grouping function.

datasets.js

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AND p."publishedAt" IS NOT NULL
`);


publishIfExists.audit = (properties) => (log) => {
  const promiseArr = [];
  const datasets = groupBy(c => c.acteeId, properties);


  for (const acteeId of Object.keys(datasets)) {
    promiseArr.push(log('dataset.update.publish', { acteeId }, {
      properties: datasets[acteeId].filter(p => p.name).map(p => p.name).sort()

+ 59 other calls in file

utils.js

GitHub: SSWConsulting/SSW.CodeAuditor

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R.groupBy(R.prop("linter")),
R.converge(
  R.zipWith((k, v) => ({
    [k]: R.pipe(
      // then group by the file
      R.groupBy(R.prop("file")),
      R.converge(
        R.zipWith((k, v) => ({
          // for each file, get the location separated by semi colon
          [k]: v.map((x) => x.location).join(";"),

+ 4 other calls in file

How does ramda.groupBy work?

ramda.groupBy is a function provided by the Ramda library that takes in a list of values and a grouping function, and returns a new object or array containing the groups of values. The grouping function is applied to each element in the list, and returns a key or value that is used to group the elements. If the grouping function returns a primitive value (such as a string or number), the groups are represented as an object with keys corresponding to the group values, and values corresponding to arrays of the grouped elements. If the grouping function returns an object or array, the groups are represented as an array of objects, where each object has a key or value property corresponding to the group value, and a values property containing the array of grouped elements. The resulting groups can be used to perform operations such as counting the number of elements in each group, or mapping over the elements in each group to transform them. Overall, ramda.groupBy provides a flexible and powerful way to group and manipulate data in a functional programming style.

main.js

GitHub: hakantunc/hyp-down

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}
var data = JSON.parse(body);
var notes
  = R.compose(
      R.mapObjIndexed((v, k, o) => R.sortWith([R.ascend(R.prop('date'))], v)),
      R.groupBy(o => o.source),
      R.map(o => ({
        date: new Date(o.updated),
        title: o.document.title,
        source: o.target[0].source,

12-add-trainchinese.js

GitHub: srghma/anki-cards-from-pdf

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    transl
  })
}
mkQueue(queueSize).addAll(errors_.map((inputElement, inputElementIndex) => async jobIndex => { mapper(output, inputElement, inputElementIndex, doms[jobIndex]) }))


output_ = R.groupBy(R.prop('kanji'), output)
output_ = R.map(xs => R.uniq(xs.map(x => x.transl).flat().filter(x => x)), output_)
output_ = R.toPairs(output_)
output_ = output_.map(([kanji, transl]) => ({ kanji, transl }))
output_ = output_.filter(x => !R.isEmpty(x.transl))

Ai Example

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const R = require("ramda");

const myData = [
  { name: "Alice", age: 25 },
  { name: "Bob", age: 30 },
  { name: "Charlie", age: 25 },
  { name: "Dave", age: 35 },
];

const groupByAge = R.groupBy(R.prop("age"));

const groups = groupByAge(myData);
console.log(groups);

In this example, we use ramda.groupBy to group a list of objects, myData, by the 'age' property. We define a grouping function, groupByAge, using the R.prop function provided by Ramda to extract the 'age' property from each object. We then call the groupByAge function on the myData list to generate the groups, which are represented as an object with keys corresponding to the unique ages in the list. The values of the object are arrays containing the objects in the original list that have the corresponding age. The resulting groups can be used to perform further operations or transformations on the data, such as counting the number of objects in each group. Note that in order to use ramda.groupBy, you need to have the Ramda library installed and imported in your application.

selectors.js

GitHub: otpusk/apisearch-toolbox

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exports.getOperatorsWithMinPrice = getOperatorsWithMinPrice;


var getFoodsWithMinPrice = function getFoodsWithMinPrice() {
  return (0, _reselect.createSelector)(getOffersFromPrices(), getQueryID, _selectors3.getQuery, function (offers, queryID, query) {
    var groupedByFood = R.groupBy(R.prop('food'), R.concat(offers, getOffersListFromSearchMemory(queryID)));
    return R.map(function (_ref16) {
      var code = _ref16.code;
      return {
        code: code,

+ 125 other calls in file

insert_json_to_db.js

GitHub: thesixnetwork/six-dashboard

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const airdropUsers = require(airdropUserPath)
const serviceAccount = require(configPath)
const allUsers = [...privateUsers, ...publicUsers, ...airdropUsers]


function merge (allUsers) {
  const groupByUID = R.groupBy(user => user.uid)


  const concatValues = (k, l, r) => k == 'claim_periods' ? R.concat(l, r) : r


  const reducePeriods = R.reduce(R.mergeWithKey(concatValues), {})

content-extractor-test.es

GitHub: Broowzer/web-discovery-project

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  return R.pipe(
    R.map((args) => {
      expect(args.length).to.equal(1);
      return args[0];
    }),
    R.groupBy((msg) => msg.action)
  )(sinonSpy.args);
}

const messages = groupTelemetryCallsByAction(

+ 152 other calls in file

day02.js

GitHub: jcla1/AdventOfCode

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const isValidPart1 = ([low, high, lett, pw]) => {
  // example p = ['1', '3', 'a', 'abcde']
  const letterCounts = R.compose(
      R.map(R.length),
      R.groupBy(R.identity))(pw);


  return parseInt(low) <= letterCounts[lett] &&
      letterCounts[lett] <= parseInt(high);
};

+ 2 other calls in file

ramda-demo.js

GitHub: dqmmpb/define-demos

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// merge
log(R.merge(l3, l4));


log(R.fromPairs([['a', 1], ['b', 2], ['c', 3]]));


var byGrade = R.groupBy((student) => {
  var score = student.score;
  return score < 65 ? 'F' :
    score < 70 ? 'D' :
      score < 80 ? 'C' :

+ 9 other calls in file

cyclejs-audio-driver.js

GitHub: jemmyw/cyclejs-audio-driver

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* @return {Object} An object with the output of `fn` for keys, mapped to arrays of elements
*         that produced that key when passed to `fn`.
* @see R.transduce
* @example
*
*      var byGrade = R.groupBy(function(student) {
*        var score = student.score;
*        return score < 65 ? 'F' :
*               score < 70 ? 'D' :
*               score < 80 ? 'C' :

+ 17 other calls in file

case.js

GitHub: jgrodriguez9/planex-api

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  section: survey.section,
  sectionsQ: [],
  questions: [],
};

const bySectionsQs = R.groupBy((question) => {
  return question.is_page
    ? "sections"
    : question.page_id
    ? "sectionQ"

transactionService.js

GitHub: TJGTO/HisabBackend

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    transactionBenificiaries: true,
  },
});

return R.pipe(
  R.groupBy((u) => u.doneBy),
  R.map((v) =>
    R.reduce(
      (acc, item) => acc + item.transactionBenificiaries[0].amount,
      0,

pdfToJson.js

GitHub: jgrodriguez9/planex-api

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for (let i = 0; i < pages.length; i++) {
  const hlines = hlinesPaged[i];
  const texts = textsPaged[i];

  groups.push(
    R.groupBy((text) => R.findIndex((hline) => text.y < hline)(hlines), texts)
  );
}

// Combine groups below last hline on a page and above first hline on next page

+ 3 other calls in file

bundle.js

GitHub: Gaoey/canvas-vertice-google-detected-text

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* @return {Object} An object with the output of `fn` for keys, mapped to arrays of elements
*         that produced that key when passed to `fn`.
* @see R.reduceBy, R.transduce
* @example
*
*      const byGrade = R.groupBy(function(student) {
*        const score = student.score;
*        return score < 65 ? 'F' :
*               score < 70 ? 'D' :
*               score < 80 ? 'C' :

+ 3 other calls in file

BaseQuery.js

GitHub: 22317a57/cube-js-legacy

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(regularMeasures.length ? [
  this.withCubeAliasPrefix('main', () => this.regularMeasuresSubQuery(regularMeasures))
] : [])
  .concat(
    R.pipe(
      R.groupBy(m => m.cube().name),
      R.toPairs,
      R.map(
        ([keyCubeName, measures]) => this.withCubeAliasPrefix(`${keyCubeName}_key`, () => this.aggregateSubQuery(keyCubeName, measures))
      )

index.js

GitHub: VesaLahd/aoc2022

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const tailPosition = R.curry((knots, instructions) => R.compose(
  R.length,
  R.flatten,
  R.values,
  R.map(R.compose(R.uniq, R.map(R.last))),
  R.groupBy(R.head),
  R.map(R.last),
  R.scan(moveRopeKnots, Array(knots).fill([0,0]))
)(instructions))

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