How to use the min function from lodash
Find comprehensive JavaScript lodash.min code examples handpicked from public code repositorys.
lodash.min is a function that returns the smallest element in an array or object.
GitHub: thumbsup/thumbsup
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// aggregate all stats this.stats = { albums: this.albums.length, photos: _.sum(_.compact(_.concat(nestedPhotos, currentPhotos))) || 0, videos: _.sum(_.compact(_.concat(nestedVideos, currentVideos))) || 0, fromDate: _.min(_.compact(_.concat(nestedFromDates, currentFromDate))), toDate: _.max(_.compact(_.concat(nestedToDates, currentToDate))) } this.stats.total = this.stats.photos + this.stats.videos }
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* var characters = [ * { 'name': 'barney', 'age': 36 }, * { 'name': 'fred', 'age': 40 } * ]; * * _.min(characters, function(chr) { return chr.age; }); * // => { 'name': 'barney', 'age': 36 }; * * // using "_.pluck" callback shorthand * _.min(characters, 'age');
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How does lodash.min work?
lodash.min is a method provided by the Lodash library which returns the smallest element in a given array or collection of values, or NaN if the input is empty or contains non-comparable elements. It does this by first checking if the input is an array or a collection, and then using the Math.min function to find the minimum value. It also supports an optional iteratee function, which can be used to transform or map the values before finding the minimum.
GitHub: chevdor/dapple
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for (let pair of _.pairs(sources[SOURCEMAP_KEY])) { let hashPath = pair[0]; let paths = pair[1]; depths[hashPath] = _.min(_.map( paths, (p) => p.split('/').length)); } } return depths;
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module.exports.merge = _.merge; module.exports.mergeWith = _.mergeWith; module.exports.method = _.method; module.exports.methodOf = _.methodOf; module.exports.methodize = _.methodize; module.exports.min = _.min; module.exports.minBy = _.minBy; module.exports.mixin = _.mixin; module.exports.mod = _.mod; module.exports.mul = _.mul;
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Ai Example
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const _ = require("lodash"); const numbers = [3, 7, 1, 8, 4, 2, 9]; const smallestNumber = _.min(numbers); console.log(smallestNumber); // Output: 1
In this example, lodash.min is used to find the smallest number in an array of numbers. The function takes an array as its argument and returns the smallest number in the array. In this case, it returns the value of 1.
GitHub: sluukkonen/iiris
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params: [num1, num10, num100, num1000], benchmarks: (array) => { const min = (a, b) => (a < b ? a : b) return { iiris: () => A.minimum(array), lodash: () => _.min(array), native: () => array.reduce(min), } }, },
GitHub: ultrapacer/core
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const grades = this.points.map(p => p.grade) const terrains = this.terrainFactors.map(tf => (tf.tF / 100 + 1)) const stats = { altitude: { max: _.max(alts), min: _.min(alts) }, grade: { max: _.max(grades), min: _.min(grades)
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GitHub: mdmarufsarker/lodash
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console.log(mean); // => 5 const meanBy = _.meanBy([{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }], o => o.n); console.log(meanBy); // => 5 const min = _.min([4, 2, 8, 6]); console.log(min); // => 2 const minBy = _.minBy([{ 'n': 1 }, { 'n': 2 }], o => o.n); console.log(minBy); // => { 'n': 1 }
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GitHub: Qwiery/qwiery
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*/ histogram(data, bins = 10) { if (bins === 1) { return [data.length]; } const bin_width = (_.max(data) - _.min(data)) / (bins - 1); let min = Infinity; let max = -Infinity; for (const item of data) {
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GitHub: Qwiery/qwiery
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/** * Returns the minimum degree in this graph. * @returns {number} */ get minDegree() { return _.min(_.values(this.getDegrees())); } /** * Returns an array representing the histogram of degrees.
GitHub: achinwo/irev-exporter
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const existing = _.find(newUsers, u => u.contributorId === _.trim(puData.contributorUsername)); if(existing){ console.log(`Duplicate detected for id "${_.trim(puData.contributorUsername)}":`, existing, puData); existing.firstContributedAt = _.min([existing.firstContributedAt, puData.firstDataEnteredAt]); continue } const newUser = {
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* request property for the request value. */ function listFeatures(call) { var lo = call.request.getLo(); var hi = call.request.getHi(); var left = _.min([lo.getLongitude(), hi.getLongitude()]); var right = _.max([lo.getLongitude(), hi.getLongitude()]); var top = _.max([lo.getLatitude(), hi.getLatitude()]); var bottom = _.min([lo.getLatitude(), hi.getLatitude()]); // For each feature, check if it is in the given bounding box
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* request property for the request value. */ function listFeatures(call) { var lo = call.request.lo; var hi = call.request.hi; var left = _.min([lo.longitude, hi.longitude]); var right = _.max([lo.longitude, hi.longitude]); var top = _.max([lo.latitude, hi.latitude]); var bottom = _.min([lo.latitude, hi.latitude]); // For each feature, check if it is in the given bounding box
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get medianScore() { return this.requests.map(r => r.score).sort()[parseInt(this.requests.length / 2)] } get minScore() { return _.min(this.requests.map(r => r.score)) } get maxScore() { return _.max(this.requests.map(r => r.score))
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var slope = numerator / denominator; var intercept = yBar - slope * xBar; return { minX: _.min(x), maxX: _.max(x), slope: slope, intercept: intercept };
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function(next) { getNormalizedTxs(addresses, from, to, next); }, function(txs, next) { // Fetch all proposals in [t - 7 days, t + 1 day] var minTs = _.min(txs.items, 'time').time - 7 * 24 * 3600; var maxTs = _.max(txs.items, 'time').time + 1 * 24 * 3600; async.parallel([
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