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Histogram events & bin hover label improvements #2113

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Oct 24, 2017
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22 changes: 14 additions & 8 deletions src/lib/search.js
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,11 @@
var isNumeric = require('fast-isnumeric');
var loggers = require('./loggers');

// don't trust floating point equality - fraction of bin size to call
// "on the line" and ensure that they go the right way specified by
// linelow
var roundingError = 1e-9;
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I'm a little surprised that this hadn't come up before (other than the test below that was actually wrong before), and obviously it's a bit questionable exactly what small fraction to put here... but if we just use straight < vs <= etc it's pretty easy to trick findBin on the edges.



/**
* findBin - find the bin for val - note that it can return outside the
Expand All @@ -26,20 +31,21 @@ var loggers = require('./loggers');
exports.findBin = function(val, bins, linelow) {
if(isNumeric(bins.start)) {
return linelow ?
Math.ceil((val - bins.start) / bins.size) - 1 :
Math.floor((val - bins.start) / bins.size);
Math.ceil((val - bins.start) / bins.size - roundingError) - 1 :
Math.floor((val - bins.start) / bins.size + roundingError);
}
else {
var n1 = 0,
n2 = bins.length,
c = 0,
n,
test;
if(bins[bins.length - 1] >= bins[0]) {
var n1 = 0;
var n2 = bins.length;
var c = 0;
var binSize = (n2 > 1) ? (bins[n2 - 1] - bins[0]) / (n2 - 1) : 1;
var n, test;
if(binSize >= 0) {
test = linelow ? lessThan : lessOrEqual;
} else {
test = linelow ? greaterOrEqual : greaterThan;
}
val += binSize * roundingError * (linelow ? -1 : 1) * (binSize >= 0 ? 1 : -1);
// c is just to avoid infinite loops if there's an error
while(n1 < n2 && c++ < 100) {
n = Math.floor((n1 + n2) / 2);
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2 changes: 1 addition & 1 deletion test/jasmine/tests/histogram_test.js
Original file line number Diff line number Diff line change
Expand Up @@ -423,7 +423,7 @@ describe('Test histogram', function() {
var trace4 = {x: [1, 1.2, 1.4, 1.6], yaxis: 'y2'};

expect(calcPositions(trace1, [trace2, trace3, trace4])).toEqual([1, 2, 3, 4]);
expect(calcPositions(trace3)).toBeCloseToArray([0.9, 1.1, 1.3], 5);
expect(calcPositions(trace3)).toBeCloseToArray([1.1, 1.3], 5);
});

describe('cumulative distribution functions', function() {
Expand Down