replace geomean with geometric mean or geometricMean

fix geometricMean computation

Author: acxz

draftlogs/6223_add.md

@@ -1,2 +1,2 @@
- - Add geomean functionality and 'geomean ascending' + 'geomean descending' to `category_order` on cartesian axes [[#6223](https://github.com/plotly/plotly.js/pull/6223)]
+ - Add geometric mean functionality and 'geometric mean ascending' + 'geometric mean descending' to `category_order` on cartesian axes [[#6223](https://github.com/plotly/plotly.js/pull/6223)]
    with thanks to @acxz and @prabhathc for the contribution!

src/lib/index.js

@@ -114,7 +114,7 @@ var statsModule = require('./stats');
 lib.aggNums = statsModule.aggNums;
 lib.len = statsModule.len;
 lib.mean = statsModule.mean;
-lib.geoMean = statsModule.geoMean;
+lib.geometricMean = statsModule.geometricMean;
 lib.median = statsModule.median;
 lib.midRange = statsModule.midRange;
 lib.variance = statsModule.variance;

src/lib/stats.js

@@ -47,9 +47,9 @@ exports.mean = function(data, len) {
     return exports.aggNums(function(a, b) { return a + b; }, 0, data) / len;
 };
 
-exports.geoMean = function(data, len) {
+exports.geometricMean = function(data, len) {
     if(!len) len = exports.len(data);
-    return exports.aggNums(function(a, b) { return a * b; }, 0, data) ** (1 / len);
+    return Math.pow(exports.aggNums(function(a, b) { return a * b; }, 1, data), 1 / len);
 }
 
 exports.midRange = function(numArr) {

src/plots/cartesian/layout_attributes.js

@@ -1012,7 +1012,7 @@ module.exports = {
             'max ascending', 'max descending',
             'sum ascending', 'sum descending',
             'mean ascending', 'mean descending',
-            'geomean ascending', 'geomean descending',
+            'geometric mean ascending', 'geometric mean descending',
             'median ascending', 'median descending'
         ],
         dflt: 'trace',
@@ -1027,7 +1027,7 @@ module.exports = {
             'the *trace* mode. The unspecified categories will follow the categories in `categoryarray`.',
             'Set `categoryorder` to *total ascending* or *total descending* if order should be determined by the',
             'numerical order of the values.',
-            'Similarly, the order can be determined by the min, max, sum, mean, geomean or median of all the values.'
+            'Similarly, the order can be determined by the min, max, sum, mean, geometric mean or median of all the values.'
         ].join(' ')
     },
     categoryarray: {

src/plots/plots.js

@@ -3092,7 +3092,7 @@ plots.doCalcdata = function(gd, traces) {
     Registry.getComponentMethod('errorbars', 'calc')(gd);
 };
 
-var sortAxisCategoriesByValueRegex = /(total|sum|min|max|mean|median) (ascending|descending)/;
+var sortAxisCategoriesByValueRegex = /(total|sum|min|max|mean|geometric mean|median) (ascending|descending)/;
 
 function sortAxisCategoriesByValue(axList, gd) {
     var affectedTraces = [];
@@ -3127,7 +3127,7 @@ function sortAxisCategoriesByValue(axList, gd) {
         'sum': function(values) {return Lib.aggNums(function(a, b) { return a + b;}, null, values);},
         'total': function(values) {return Lib.aggNums(function(a, b) { return a + b;}, null, values);},
         'mean': function(values) {return Lib.mean(values);},
-        'geomean': function(values) {return Lib.geoMean(values);},
+        'geometric mean': function(values) {return Lib.geometricMean(values);},
         'median': function(values) {return Lib.median(values);}
     };
 

test/jasmine/tests/calcdata_test.js

@@ -1154,12 +1154,12 @@ describe('calculated data and points', function() {
                         checkAggregatedValue(baseMock, expectedAgg, false, done);
                     });
 
-                    it('takes the geomean of all values per category across traces of type ' + trace.type, function(done) {
+                    it('takes the geometric mean of all values per category across traces of type ' + trace.type, function(done) {
                         var type = trace.type;
                         var data = [7, 2, 3];
                         var data2 = [5, 4, 2];
                         var baseMock = { data: [makeData(type, axName, cat, data), makeData(type, axName, cat, data2)], layout: {}};
-                        baseMock.layout[axName] = { type: 'category', categoryorder: 'geomean ascending'};
+                        baseMock.layout[axName] = { type: 'category', categoryorder: 'geometric mean ascending'};
 
                         var expectedAgg = [['a', Math.sqrt(data[0] * data2[0])], ['b', Math.sqrt(data[1] * data2[1])], ['c', Math.sqrt(data[2] * data2[2])]];
                         // TODO: how to actually calc these? what do these even mean?

test/jasmine/tests/lib_test.js

@@ -126,20 +126,20 @@ describe('Test lib.js:', function() {
         });
     });
 
-    describe('geomean() should', function() {
+    describe('geometricMean() should', function() {
         it('toss out non-numerics (strings)', function() {
             var input = [1, 2, 'apple', 'orange'];
-            var res = Lib.geomean(input);
+            var res = Lib.geometricMean(input);
             expect(res).toBeCloseTo(1.414, 3);
         });
         it('toss out non-numerics (NaN)', function() {
             var input = [1, 2, NaN];
-            var res = Lib.geomean(input);
+            var res = Lib.geometricMean(input);
             expect(res).toBeCloseTo(1.414, 3);
         });
         it('evaluate numbers which are passed around as text strings:', function() {
             var input = ['1', '2'];
-            var res = Lib.geomean(input);
+            var res = Lib.geometricMean(input);
             expect(res).toBeCloseTo(1.414, 3);
         });
     });